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Apple fixes iOS bug that kept deleted notifications, including chat previews

Apple has released a software update that deals with an issue that could allow deleted notifications to be retrieved. Something that, in at least one reported case, was used by law enforcement during forensic analysis.

Apple fixed the issue in iOS and iPadOS versions 18.7.8 and 26.4.2 (check availability for your device at those links). The update deals with a singular security vulnerability, tracked as CVE-2026-28950.

Although the description is brief—“a logging issue was addressed with improved data redaction”—the impact points us in the right direction.

“Notifications marked for deletion could be unexpectedly retained on the device.”

This suggests that Apple’s bug was that iOS kept copies of notification content in an internal database for longer than intended, even after the messages “disappeared” or the app was uninstalled. In a case reported by 404 Media, law enforcement was able to recover those notifications using standard forensic tools once they had access to the unlocked device. The example in that reported case involved Signal.


Mobile protection, anywhere, anytime.


A response on X by Signal states:

“The FBI was able to forensically extract copies of incoming Signal messages from a defendant’s iPhone, even after the app was deleted, because copies of the content were saved in the device’s push notification database.”

Before we go into the update process, you may want to know that you can mute or hide notifications in Signal, which also protects them from prying eyes. In Signal, open your Settings and tap on Notifications. You can adjust several settings there. For example, I have mine set so I only see the name of the sender.

Install the update

For iOS and iPadOS users, you can check if you’re using the latest software version by going to Settings > General > Software Update. It’s also worth turning on Automatic Updates if you haven’t already. You can do that on the same screen.

Update settings on iPad
Update settings on iPad

Scammers know more about you than you think. 

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Download for iOS → Download for Android → 

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Roblox clamps down on chats and age checks as legal pressure builds

Roblox has long faced criticism over child safety on its platform. Now it has started settling with state attorneys over the issue, and the total is climbing fast.

On April 21, Alabama Attorney General Steve Marshall announced a $12.2 million settlement with the child-focused online gaming platform. The State of West Virginia also settled for $11 million the same day. Those came a week after Nevada Attorney General Aaron Ford got the company to hand over $12 million.

Their problem with Roblox is clear from the settlement documents: they believe it hasn’t been adequately protecting children from predators on its platform.

What Roblox has to change

As part of Alabama’s settlement, Roblox must now run age checks on everyone via facial age estimation or a government ID starting May 1. That applies to both new and existing accounts. The company must now also monitor account behavior to catch users who lied about their age.

Adults and under-16s won’t be able to talk with each other at all unless they’re on a “trusted friend” list, added via QR code or a phone-contact import, and users that don’t undergo age verification can’t chat to anyone. 

Communication involving any minor cannot be encrypted, so law enforcement can read it during investigations. West Virginia’s settlement also insists that Roblox alert minors the first time they enter a private chat, so children understand how to communicate safely.

Roblox already stopped people from chatting without age verification as of January this year, but under new measures it will start restricting access to games for those that don’t undergo the process. Starting in June, the platform will split into three tiers: Roblox Kids for ages 5–8 will forbid any chats at all, and will only allow access to games labeled ‘minimal’ or ‘mild’ on its maturity scale. Those who don’t complete age verification will also have these restrictions. The other two account levels are Roblox Select for 9–15 year-olds, and standard accounts for those 16 and up.

Plenty more lawsuits to come

Three settlements in eight days totaling more than $35 million must hurt, but it’s just the beginning. Texas, Florida, Louisiana, Iowa, Nebraska, Kentucky, and Tennessee are all pursuing similar claims: that Roblox exposed children to risk and then misled parents about its safeguards.

In February, LA County sued Roblox, accusing the platform of choosing profit over safety and leaving kids exposed to grooming and explicit content.

Roblox is also separately dealing with nearly 80 federal lawsuits filed by families in California alone. And Australia’s eSafety Commissioner has also issued legally-enforceable transparency notices to Roblox and other tech companies. These force them to detail what they’re doing to protect children. Those notices are backed by fines of A$825,000 a day (that’s about US$590,783) for non-compliance.

Where the money will go

The $12.2 million from Alabama’s settlement funds school resource officers through the state’s Safe School Initiative. Nevada’s is earmarked for the Boys & Girls Club and “nondigital activities,” plus a law-enforcement liaison and an online-safety awareness campaign. West Virginia will invest $500,000 in safety education workshops for parents and children, create a $1.5 million three-year public safety campaign, and spend $2.4 million on a dedicated internet safety specialist for six years.

Stay alert

There’s a predictable rhythm to how big tech companies face down state attorneys general. First comes pushback, then rhetoric about shared values, and then they start handing over cash.

It is a step forward that Roblox is agreeing to new safeguards, but questions remain.

In its own lawsuit against Roblox launched last month, Nebraska complained that the company’s existing age-check technology was inadequate. From the complaint:

“Rather than meaningfully protecting children, the system has repeatedly misclassified users’ ages, placing adults in child chat groups and minors in adult categories, while age-verified accounts for young children have already been traded on third-party marketplaces, undermining any purported safety benefits.”

What happens when the age-estimation AI guesses wrong on a 14-year-old who looks 17, or when a “trusted friend” QR code gets passed around a group chat somewhere it shouldn’t?

The company’s Persona age-check tool has also turned out to do more than check ages: researchers say they found an exposed frontend showing the system was also running facial recognition against watchlists.

Settlements address past concerns, but they don’t guarantee future safety. Parents must still do the work to ensure that they know what their kids are signing up for and who else they might be playing with.

For more information about the safety of Roblox and other services, check out our research: How Safe are Kids Using Social Media?


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Researcher claims Claude Desktop installs “spyware” on macOS

Security researcher Alexander Hanff wrote an article titled Anthropic secretly installs spyware when you install Claude Desktop.

Claims like that are bound to create two sides, so we searched for an official rebuttal by Anthropic. But we couldn’t find one. It would surprise me very much if they’d be unaware of the claim, since there’s been some noise about it.

Users on Mastodon, Reddit, and LinkedIn are confirming the researcher’s findings and discussing the subject, so it’s hard to imagine Anthropic missed it.

Let’s look at the claims first.

While looking into another matter, the researcher discovered a Native Messaging host manifest on his Mac that he did not knowingly install. On Chrome and other Chromium-based browsers, extensions can exchange messages with native applications if they register a native messaging host that can communicate with the extension. 

By testing on a clean machine, Hanff discovered that Installing Claude Desktop for macOS drops a Native Messaging host manifest into multiple Chromium profiles (Chrome, Edge, Brave, Arc, Vivaldi, Opera, Chromium), even including for browsers that are not actually installed yet.

The Native Messaging host manifest tells a Chromium‑based browser which local executable to invoke when an extension calls a native host, and those hosts run outside the browser sandbox with current users  permissions. Hanff therefore describes this as a “backdoor.” The manifest pre‑authorizes three Chrome extension IDs, so any extension with those IDs can call the helper via connectNative, giving it access to browser automation features.

Another objection is that Claude makes simple deletion futile since the manifest will be recreated the next time the user launches Claude Desktop.

It’s important here to point out that his article is about Claude Desktop, the Electron-based macOS application with bundle identifier com.anthropic.claudefordesktop, distributed as Claude.app. It is not about Claude Code, Anthropic’s command line developer tool. Claude Code is autonomous (“agentic”), allowing you to hand over a task, and it handles the planning and execution until done. So, for Claude Code, it would absolutely make sense to enable communication with browsers, provided they are present on the target system.

So, we have an application that writes into other apps’ profile/support directories (the browsers’ configuration area) and can act as the user, with capabilities like using the logged‑in browser session, DOM inspection, data extraction, form filling, and session recording. This expands the attack surface of every machine this manifest is dropped on, without asking for consent. 

Anthropic’s own launch blog on “Claude for Chrome,” which discusses Anthropic’s internal red‑team experiments, explicitly mentions prompt injection as a key risk and reports attack success rates of 23.6% (no mitigations) and 11.2% (with mitigations). Hanff cites this to argue that a pre‑positioned bridge is a non‑trivial risk.

How bad is it?

Native Messaging is a standard Chromium mechanism. Nothing here is an unknown or exotic technique per se. Chrome’s own documentation explains that Native Messaging hosts run at user privilege and are invoked by browser extensions through a manifest file. And as the researcher pointed out, the bridge does nothing. But it could potentially be abused.

I don’t think it’s fair to say that Claude Desktop installs spyware, but it does open a system up by expanding the attack surface.

Anthropic already had a separate, documented Native Messaging manifest for Claude Code that users sometimes manually copied into other Chromium browsers; the new behavior is that Claude Desktop now drops a Claude‑Desktop‑related manifest into multiple browser paths automatically.

It requires a combination of extension and host. Only combined with a matching browser extension, this bridge enables the user-like capabilities we listed earlier.

What we don’t know yet

Anthropic hasn’t published a detailed technical privacy spec for the Claude Desktop–browser bridge, so we don’t know exactly what data flows when the Chrome integration is used, beyond the general capabilities described in their documentation (session access, DOM reading, etc.).

The detailed analysis and most replication so far are on macOS. We’re in the dark about behavior on Windows and Linux, and the same is true across different browser install paths. That behavior has also not been comprehensively documented in public write‑ups.

I did reach out to Anthropic asking for a response. If and when we get an official response from Anthropic, I’ll add it here, so stay tuned.

Conclusion

Anthropic likely wanted “Claude in Chrome”‑style capabilities across Chromium‑based browsers, but that doesn’t excuse doing it silently and preinstalling the manifest into profile directories for multiple browsers, including ones that are not yet installed.

There are better ways to implement changes like these, and users should at least be made aware of them so they can weigh the advantages against the potential risks.


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Real Apple notifications are being used to drive tech support scams

Scammers have found a way to abuse legitimate Apple account notification emails to trick targets into calling fake tech support numbers.

According to a report from BleepingComputer, scammers create an Apple account and insert a phishing message into the personal information fields, then modify the account so that Apple sends a genuine security alert about the change to the target.

BleepingComputer was able to replicate the attack.

The attacker creates an Apple ID they control, then stuffs the phishing message into the personal information fields (first name, last name, possibly address), splitting it across fields because they will not fit into just one.

To launch the phish, the attacker changes something benign on their specially created Apple account, such as shipping information, which causes Apple’s systems to send a “Your Apple account was updated” security email.

While the original alert is addressed to the attacker’s iCloud email, they are then able to redistribute it to a wider victim list, for example through a mailing list.

In the copy the targets receive, the email headers still show a legitimate Apple sender, and the presence of the attacker’s iCloud address can even make it look like “someone else” has gained access to the account.

Reconstruction. Image courtesy of BleepingComputer

Because Apple includes those user-supplied fields in the security email, the phishing text is delivered inside a legitimate message sent from Apple’s own infrastructure.

This method, called call-back phishing, filters out suspicious users, so the scammers can focus on the people who fell for the first part.

The emails come from a legitimate source, sail through every security filter because of that, and look convincing enough to scare the receiver into thinking someone spent $899 from their PayPal account.

Phishing email screenshot, courtesy of BleepingComputer

But the structure of the email does not make sense.

“Dear User” is immediately followed by the scam message where your name should have been. The header says it’s about account information rather than a purchase. And the iCloud account does not belong to the recipient. So, once you know how it’s done, they’re not impossible to spot. Which is why we wrote this blog.

And when in doubt, you can always ask Malwarebytes Scam Guard.


Scam or legit? Scam Guard knows.


Is this a scam?
Asking Scam Guard

Scam Guard identified the screenshot as a scam and guides users through the next steps.

Scams like these work, because many users still view phone calls as more trustworthy than email, especially if the email itself passed all the usual technical authenticity checks and they initiated the call themselves.

How to stay safe

Tech support scammers will try to convince callers to install some kind of remote desktop application to steal data from your computer, or ask for financial details so they can steal your money.

To stay safe from these scammers:

  • Be wary of unexpected alerts about high‑value purchases you do not recognize. They are suspicious even if they come from a real domain.
  • Never call a number sent to you by unsolicited means or even found in sponsored search results.
  • Carefully read emails and text messages, even if they come form trustworthy addresses. Does the email make sense from a structural and linguistic point of view?
  • If someone claiming to be support for a legitimate company asks for remote access or payment details during a call, hang up and contact the company through official channels.
  • Use Malwarebytes Scam Guard to analyze any kind of message that alarms you or urges you to take immediate action.

Something feel off? Check it before you click.  

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Available with Malwarebytes Premium Security for all your devices, and in the Malwarebytes app for iOS and Android.  

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Android 17 ends all-or-nothing access to your contacts

Some of the apps on your phone want your contacts. Most don’t need them all, but have been happily slurping up the lot for years. Google has decided to do something about that with the next version of Android.

Android 17 (currently in preview) is introducing a new Contact Picker that lets users grant apps access to specific contacts rather than the entire list.

Previously, any app that needed a single phone number had to request READ_CONTACTS. That’s a permission that handed over every name, email, and number. It’s the digital equivalent of handing someone your entire Rolodex because they asked for one business card.

An app that can harvest your entire contact list can map your social network, identify your family members, and potentially hand that data to whoever’s buying. So whenever you click “yes” to “show us all your contacts” it isn’t just your privacy you’re playing with.

From Android 17 onward, apps will need to be more specific about what contact data they access. Phone number? Fine. Email address? Sure. Your cousin’s mailing address? Not unless the app has a reason.

Google’s updated Play policy will require apps to use the Contact Picker or the Android Sharesheet as the main way to access contacts. READ_CONTACTS will be reserved for apps that genuinely can’t function without it. 

Location sharing gets the privacy treatment

Location permissions are also set to become more granular and privacy-friendly in Android 17.

Previously, apps could ask for your precise or general location, and you could allow it just once, any time you’re using the app, or not at all. The new button adds nuance by letting app developers ask for your location in the moment, tied to a specific action, like finding a local cafe.

There will also be a persistent indicator to let you know when an app is using your location, similar to the alerts for camera or microphone access. And you’ll be able to find out which apps are tracking you as well.

Google blocked 8.3 billion bad ads in 2025

The tighter permissions management in Android 17 is a big deal for privacy advocates, because overly broad access is how data brokers build detailed profiles about you.

Those profiles can then be used for aggressive or invasive advertising, including scams.


Mobile protection, anywhere, anytime.


Google timed these privacy announcements alongside its latest Ad Safety report, which says it blocked 8.3 billion policy-violating ads and suspended 24.9 million advertiser accounts in the last year. 

The 8.3 billion figure is up from 2024, when Google blocked 5.1 billion ads. The increase suggests that the problem is getting worse, or that Google is getting better at catching it. Scam ads are a big part of that. In 2024, Google blocked 415 million scam-related ads. In 2025, that number grew to 602 million. 

Lest we forget

We’ll give Google credit for trying to tackle this problem from both ends—limiting data collection and cracking down on the kinds of ads that use that data maliciously. But there’s still a sense that it’s not doing quite enough.

Yes, the Android 17 permission changes are good for users, but granular contact access should have been the default years ago. Apple has been doing it for 18 months in iOS 18, and even that was years too late, in our opinion.

And while Google says it caught over 99% of violations before users ever saw them, 1% of an insanely large number is still insanely large.

The ads that still get through are damaging. In December, we reported on sponsored search results pointing to malicious AI chats that instructed people to install infostealer malware. Why does Google run ads that look like search results? Because its business model is driven by advertising revenue. At least it’s making it easier to hide them now.

So we’ll give a cautious hand clap to Google. It’s moving in the right direction. But stories about how it knowingly giving kids’ data inappropriately to advertisers or misusing health data still give us pause.


Scammers know more about you than you think. 

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  •  

Heimdal Expands AI Strategy with AI Wingman and Third-Party AI Containment

COPENHAGEN, Denmark, 21 April 2026 — Heimdal today unveiled the next phase of its AI strategy, expanding AI Wingman with three new layers – Assist, Triage and SOC – alongside the introduction of Third-Party AI Containment. Together, these capabilities build on Heimdal’s existing AI-powered protection and give organisations a clearer way to manage AI safely, speed […]

The post Heimdal Expands AI Strategy with AI Wingman and Third-Party AI Containment appeared first on Heimdal Security Blog.

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AI SOC Live at Nasdaq: Real conversation about modern security operations

The SOC is broken. Not because of a lack of talent or effort, but because human capacity does not scale. Alert volumes keep rising. Attacks move faster. And the operating model still assumes analysts will investigate most of what comes in, which means the vast majority of alerts never get looked at.

Our AI SOC Report 2026, based on analysis of 25 million alerts across our global customer base, put a sharp number on the problem. Over 60% of alerts are never reviewed by SOC and MDR teams. Nearly 1% of all incidents trace back to alerts classified at the lowest severity levels, signals most teams never touch. With average enterprises generating around 450,000 alerts annually, that equates to roughly one real threat per week hiding in the backlog, undetected.

That is not a tool problem. It is an operating model problem.

On April 27, we are bringing together the security leaders who are doing something about it.

Get your invite to AI SOC Live at the NASDAQ today.

What is AI SOC Live

AI SOC Live is a monthly, online event where security leaders discuss the latest issues facing the cyber industry. This month, AI SOC Live will be a full-day, invitation-only event at the Nasdaq in New York City. It is designed for CISOs, security directors, SOC managers, and MSSPs who are not just watching AI transform security operations from the sidelines, but are in the middle of it, making decisions about how their teams operate, what they invest in, and where the humans actually need to be.

This event is a full day of sessions, panels, and conversations built around the people, processes, and technology required to run a world-class SOC in 2026.

Who you will hear from at AI SOC Live Nasdaq

The speaker lineup reflects how seriously we have curated this event.

Itai Tevet, CEO and Founder of Intezer, will open the day with a session on the new SOC operating model, what it means when AI executes investigation and humans supervise outcomes, and why that shift changes security results structurally, not incrementally.

Alon Cohen, Founder and Executive Chairman of both Intezer and CyberArk, will speak to the broader impact of AI on security, drawing on decades of experience building foundational security companies.

Pavi Ramamurthy, Global CISO & CIO at Blackhawk Network as well as a founding member of the Professional Association of CISOs, and a venture advisor at YL Ventures. She will be speaking about the role of humans in the SOC.

David Spark, Founder and Executive Producer of the CISO Series Podcast, will host a live recording of the show featuring Nick Vigier, CISO at Oscar Health, digging into AI SOC beyond the hype.

You will also hear from CISOs at WCG Clinical, and ION Group, alongside practitioners from Realm Security, Legato Security, Upwind Security, and Monad. Sessions cover cloud security for the AI era, the blueprint for AI SOC success, and what every CISO needs to manage not only their security, but their executive board as well. 

And Mitchem Boles, Field CISO at Intezer, and Marcus Mingo, Detection Engineer at Intezer, will be there all day, available for the kind of real, technical conversations that rarely happen at larger conferences. See the full list of speakers.

What the day looks like

The agenda moves quickly and stays practical.

The morning opens with sessions on the new operating model and AI’s impact on security, followed by a CISO panel on the role of humans in the SOC and a session from Realm Security on building a data-first AI SOC. After a working lunch with interactive product demos, the afternoon covers cloud security, a live CISO Series recording, and a panel on advancing SOC outcomes at the C-suite level.

The day closes with a photo opportunity in front of the iconic Nasdaq billboard, followed by a cocktail reception overlooking New York City.

Attendees also earn CPE credits through the event’s partnership with ISC2.

Why this conversation matters now

The 2026 data makes the stakes clear. Our report found that more than half of confirmed compromised endpoints had been marked as “mitigated” by the EDR vendor, meaning teams believed those machines were clean when they were not. 

The gap between what organizations believe is covered and what is actually investigated is where real risk lives. Closing that gap requires a different operating model, one where AI investigates every alert, including the low-severity signals that human teams deprioritize, and humans supervise outcomes instead of grinding through queues.

That is the conversation happening at AI SOC Live.

Who should attend

This event is designed for CISOs, VPs and Directors of Information Security, SOC managers, and MSSPs from large enterprises who are responsible for security strategy, risk decisions, and operational outcomes. Whether you are evaluating AI for the first time or scaling capabilities you already have deployed, the sessions and conversations are built for leaders making real decisions, not attendees collecting swag.

Space is limited and invitations are by request.

Request your invitation at intezer.com/ai-soc-live-nasdaq

 

The post AI SOC Live at Nasdaq: Real conversation about modern security operations appeared first on Intezer.

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Mythos: An AI tool too powerful for public release

Anthropic’s most capable model to date, Claude Mythos Preview  (aka Mythos), has been described as a “step change” in AI performance, especially on cybersecurity tasks.

Anthropic tried to keep Mythos a secret until a few weeks ago, when a data leak revealed the existence of what the company said was its most powerful artificial intelligence to date. The models is seen as both a powerful defensive tool, and, potentially, a serious offensive cyberweapon.

For that reason, the company is sharply limiting access and signaling it does not plan to release it broadly to the market right now. Its reported ability to autonomously find and even chain software vulnerabilities at scale sit at the core of both the hype and the danger.

Imagine a tool that can independently find new vulnerabilities in software, systems, and platforms, then turn them into exploits, even if that requires chaining them with other vulnerabilities.

In the wrong hands, that could be a major threat to our cyber safety. So Anthropic has limited access to a small number of organizations worldwide, including major tech firms and a select group of government or security bodies. The NSA is reportedly already using Mythos Preview, apparently to stress‑test and harden sensitive systems, despite the Pentagon labelling Anthropic as a supply chain risk.

Mythos can discover vulnerabilities across large codebases more quickly and reliably than existing tools, and can look for multiple flaws in one system and combine them into multi‑step exploit chains to complete a compromise (for example, going from a simple web bug to a full domain takeover). It would take a bug bounty hunter months to find another vulnerability, let alone one chainable with the one(s) already discovered. Accomplishing that before the first one would be highly unlikely.

In practical terms, that could mean faster attacks, more complex breaches, and less time for companies to fix weaknesses before they’re exploited.

Anthropic itself has highlighted that Mythos can work with minimal supervision for extended periods, meaning it could run systematic attack campaigns at a scale no human team could accomplish.

Anthropic flagged these security risks in an internal document:

  • AI lowers the skill floor for offensive operations. Less-skilled actors could get access to very effective tools, significantly increasing the number of advanced attacks.
  • Techniques like fuzzing, dictionary attacks, and other brute force methods become much more effective when sped up by automation. AI-assisted iteration can provide an attacker with a lot more tries before an attack gets noticed.

But the most concerning conclusion was that the offensive side is iterating faster in the current phase of AI development, and security teams are generally later adopters of AI tooling than their adversaries.

As we know, AI in cybersecurity works both ways. It helps us defend against new threats, but it can also be used to create them. Which is why, in the wrong hands, Mythos can turn out to be a formidable adversary.

The goal stays the same, but the way to get there is paved by tools like Mythos. From the attacker’s seat, nothing about the destination is new. The novelty is that Mythos now automates the map, the vehicle, and most of the driving.


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This old-school scam is still working

When we read about this new malware tactic, or that novel social engineering approach, it’s easy to forget that there are scammers out there making a living from ancient methods.

Recently, one of our researchers received this variation on the good old Nigerian advance-fee scam.

screenshot of email

From: Mrs.Inga-Britt Ahlenius.
Internal Audit, Monitoring, Consulting and Investigations Division
UNITED NATIONS SCAM VICTIMS COMPENSATIONS PAYMENTS.

Attn; Dear Scam victim/Beneficiary;

United Nations have Approved to pay 150 scam victims $5,000,000.00 (FIVE MILLION UNITED STATE DOLLAR) each.

You are listed as one of the scammed victims to be paid this amount, get back to me as soon as possible for the immediate payments of your $5,000,000.00 compensation funds.

You can contact the paying bank United Bank For Africa (UBA) on the below information

Name: Dr. Kingsley Obiora
Email: kingsleyobiora@gmail.com
Whatsapp Number, +234 913 998 1014 Sincerely yours,
Mrs.Inga-Britt Ahlenius


Scam or legit? Scam Guard knows.


The scammers got a few details right. Anyone looking up the names in the email will find that they exist and are associated with the mentioned organizations.

IngaBritt Monica Stigsdotter Ahlenius is a Swedish auditor, public servant and former Under-Secretary-General for the United Nations.

The name “Inga‑Britt Ahlenius” has been reused across many such 419‑style advance‑fee scams, sometimes claiming she is a UN fund monitoring agent or under‑secretary general distributing tens of millions in “compensation” or “unclaimed funds.”

Kingsley Obiora is a Nigerian economist who served as the Deputy Governor of Economic Policy at the Central Bank of Nigeria from 2020 to 2023. Which lends a degree of credibility to the Nigerian country code (+234) in the number they want us to contact by WhatsApp.

So, we decided to put our “friend” Tess to work once again. Loyal readers will remember how Tess almost fell for a task scammer. So maybe she’s eligible for that five-million-dollar compensation.

Promising a $5M ATM card

They came right to the point. We’d have to pay a courier fee to get our $5 million dollar ATM card. And I’m pretty sure that if we agreed to pay that, additional costs would swiftly follow. Once you’ve invested a bit of money, you’re likely to keep going since you don’t want to lose what you’ve already paid.

So, I offered to pick up the ATM card in person. Always wanted to see Nigeria.

Offering my fake company ID card worked

For a while I thought they saw through my bluff. Maybe I shouldn’t have disclosed just yet that I work for Malwarebytes. But it quickly became clear they trusted me about as much as I trusted them.

Visiting address

I’ll play along as long as I can, but after giving me the physical address of the UBA bank in Lagos, Nigeria, they started to make it more difficult to pick up the ATM card in person.

Cancelled in a week

A week is not a long time to arrange a trip to Nigeria, so I tried to get an idea of how much the “courier” would set me back before they gave up on me.

$875 for the courier

I didn’t expect it to be that much, to be honest. Maybe they thought they could raise the price since I contemplated to pick it up in person. Or they just wanted to get rid of me. You’d expect them to charge maybe €75 for the courier and then come up with €200 for stamp duty and €600 for insurance later on.

Consequences are real

It’s easy to laugh at talk of five‑million‑dollar ATM cards, but campaigns like this still make money. Behind every “Dear Scam victim/Beneficiary” is someone who is lonely, in debt, or simply overwhelmed by official‑sounding language. Once they’ve paid the first “courier fee,” the sunk‑cost effect kicks in, and it becomes harder and harder to walk away.

This is especially true for people who have already been victims of scams, who are clearly the target here.

How to stay safe

Tess’ efforts have helped us highlight the red flags in this type of scam:

  • Receiving news of a huge payout out of the blue should definitely trigger the “too good to be true” alarm bells.
  • For important communications, free webmail and WhatsApp are rarely the official contact channels.
  • Scammers apply pressure to act quickly and ask you to pay a fee before you receive anything.
  • They often use vague job titles and ask you to keep things quiet.
  • Odd language and capitalization can be a clue, although AI is making these less common.

Any one of these signs is a reason to stop and delete the email. Together, they spell out a classic advance‑fee scam.

For Tess this was a safe experiment: no money lost, just a few evenings spent sparring with a “UN compensation officer” on WhatsApp. For the people these criminals really want to reach, the stakes are much higher.

If you, or someone you care about, ever receives a message promising life‑changing money in exchange for a small courier fee or processing charge, treat it as a warning sign, not a windfall.

Close the tab, delete the message, and, if in doubt, ask a trusted friend or advisor before you act.

The easiest way to recognize a golden‑oldie scam is still the simplest: if it sounds too good to be true, it probably isn’t true.


Something feel off? Check it before you click.  

Malwarebytes Scam Guard helps you analyze suspicious links, texts, and screenshots instantly.  

Available with Malwarebytes Premium Security for all your devices, and in the Malwarebytes app for iOS and Android.  

Try it free → 

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“Your shipment has arrived” email hides remote access software

An attachment in an email impersonating DHL about a shipment contains a link to a preconfigured SimpleHelp remote access tool—an ideal starting point for attackers to explore a network, steal data, and drop additional malware.

A German industrial spare parts and equipment supplier received an email pretending to be from DHL, claiming a shipment had arrived.

Screenshot of email pretending to be from DHL

Given their line of business, I imagine they get this type of email all the time. But a few details stood out:

  • The sender’s email address did not belong to DHL,
  • the receiver address was the general info@ for the company,
  • the images in the email were hosted on ecp.yusercontent.com,  
  • and, most importantly, there was attachment.

While the remote content is hosted on a legitimate Yahoo webpage commonly used to serve images and other content in Yahoo Mail, this is not something DHL typically uses.

The attachment, a PDF file called AWB-Doc0921.pdf is just a blurred image with a Microsoft-branded button that prompts the victim to “Continue” to access a secure file.

blurred content with a Continue button

In reality, clicking the button downloads a file called AWB-Doc0921.scr from the domain longhungphatlogistics[.]vn, a domain belonging to a Vietnamese logistics company that was likely compromised to host malware.

Malwarebytes blocks longhungphatlogistics[.]vn
Malwarebytes blocks longhungphatlogistics[.]vn

A .scr file is a Windows file, which is an executable (.exe) file used to launch screensavers. They are often used to hide malicious code because Windows trusts them, allowing them to bypass some security layers. 

In this case, the file is a modified installer of a remote access tool signed by SimpleHelp.

UAC prompt for the signed installer
UAC prompt for the signed installer

SimpleHelp is a remote support and remote monitoring and management (RMM) platform. It allows remote desktop control, file transfer, diagnostics, and unattended access. In the wrong hands, that’s effectively a support-style backdoor. Attackers can use it for reconnaissance, credential theft, lateral movement, defense evasion, and staging further malware, including ransomware. We’ve seen SimpleHelp abused in this way before.

This is basically a beaconing model. Once installed, the system connects out to the attacker’s server, which is more likely to be allowed through NAT and firewalls than inbound connections. Because the user initiated the install, the attacker gets immediate visibility of the system and can reconnect later whenever the service is running. In the case of a phish, that means the lure only has to get the victim to execute the file once. After that, the attacker’s console can show the new machine as a manageable asset.

For what seems to be a non-targeted attack, the campaign shows a decent level of sophistication by using legitimate components to trick targets into running the remote access tool.

How to stay safe

The good news: once you know what to look for, these attacks are much easier to spot and block. The bad news: they’re cheap, scalable, and will continue to circulate.

So, the next time a “PDF” prompts you to download a file, pause to think about what might be hiding under the hood.

Beyond avoiding unsolicited attachments, here are a few ways to stay safe:

  • Only access your accounts through official apps or by typing the official website directly into your browser.
  • Check file extensions carefully. Even if a file installs a legitimate tool, it may not be safe to run it.
  • Enable multi-factor authentication for your critical accounts.
  • Use an up-to-date, real-time anti-malware solution with a web protection module.

Pro tip: Malwarebytes Scam Guard recognized this email as a scam.


Something feel off? Check it before you click.  

Malwarebytes Scam Guard helps you analyze suspicious links, texts, and screenshots instantly.  

Available with Malwarebytes Premium Security for all your devices, and in the Malwarebytes app for iOS and Android.  

Try it free → 

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“iCloud storage is full” scam is back, and now it wants your payment details

A few months ago, we reported on a fake cloud storage alert that triggered a redirect chain to an app that has since been delisted from the Apple Store.

The threat of losing your photos is a powerful lure, so scammers are now using it to steal personal and financial details.

The Guardian warns about an iCloud-themed campaign that start with a few “your iCloud storage is full’ messages, then escalates to threats. If you don’t respond or take action, the emails claim your data will be wiped on a specific date.

US Consumer Affairs has urged users not to click any links and to contact Apple directly if they receive such messages.

The deadline in the emails is never far away, usually just two days. No scammer ever wants you to think things through before you act, so there is always time pressure.

We’ve seen these emails in English and Spanish. Oddly, the monthly rate is set at 99 pence or 99 euro cents respectively.

The 0.99 seems to be the magic number. In reality, scammers don’t care about the payment. What they want is for you fill out the form on their phishing site.

Email saying you must upgrade to iCloud+ or lose your photos
Email saying you must upgrade to iCloud+ or lose your photos

The screenshot above is just one of many examples. There are plenty of variations, but they all follow the same them: make a small payment to stop the files in your iCloud storage from being deleted.

The websites these emails link to also vary, but they all ask for personal and payment details to complete that payment.

How to stay safe

It’s worth remembering that Apple does notify users when their iCloud storage is nearing capacity, but those alerts appear within your device settings or as official system notifications. They don’t come through unsolicited text messages or emails with external links. If you need to check your storage, go directly to Settings on your device and review your iCloud usage.

So, to stay safe:

  • Always access your account through our official website.
  • Never share your password with anyone.
  • Never click on links in unsolicited emails without verifying with a trusted source.
  • Use an up-to-date, real-time anti-malware solution with a web protection component.
  • Do not engage with websites that attract visitors like this.

Pro tip: Malwarebytes Scam Guard would have helped you identify this email as a scam and provided advice on how to proceed.


Something feel off? Check it before you click.  

Malwarebytes Scam Guard helps you analyze suspicious links, texts, and screenshots instantly.  

Available with Malwarebytes Premium Security for all your devices, and in the Malwarebytes app for iOS and Android.  

Try it free → 

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AI clickbait can turn your notifications into a scam feed

Pushpaganda is the name researchers have given to an AI-assisted ad fraud, social engineering, and scareware operation targeting mobile users.

For most people, Pushpaganda starts as something that looks completely normal. For example, a recommended article in your Google Discover feed (the personalized news stream on your phone) or one of the suggested stories you see when you open a new Chrome tab. The operators behind this campaign use AI‑generated articles and images, plus aggressive SEO or paid placement, to get their content surfaced in those feeds so it feels like any other story about money, tech, or politics.

The topics are classic clickbait. You might see a card about a new tax refund, a government payout, a bank deposit, or some too‑good‑to‑be‑true gadget like a $100 phone with a “300MP camera.” On a small mobile screen, with a matching thumbnail and a headline tailored to your region, that’s exactly the kind of thing many people would reasonably tap.

Having tapped, you land on an attacker-controlled site that looks like a regular article page but wastes no time throwing up a browser prompt asking to send you notifications. Many users have been trained by years of pop-ups to click “Allow” just to get it out of the way, especially if the page claims you need to click “Allow” to continue reading or see the offer.

Some pages will falsely claim you have to click Allow to continue reading
Some pages will falsely claim you have to click Allow to continue reading

Unfortunately, with that single tap, the site now has permission to push messages straight to your Android or desktop, where they sit alongside emails, chats, and real alerts from banks or government apps. Because the notifications don’t behave like traditional pop‑ups and can bypass normal ad‑blocking, many people don’t realize they’ve effectively subscribed to a scam channel.

The result is a stream of alarming notifications that seem to come out of nowhere and have little to do with the original site you visited, so the link between the site and the notifications is usually lost on the victims. Clicking those notifications rarely leads to what they promise. Instead, you’re pushed to another domain in the same network, which may ask for even more permissions, personal data, or try to funnel you into financial scams. Over time, this can expose you to fake investment schemes, fraudulent “tech support” numbers, or pages pushing questionable subscriptions.

All of this costs you time and attention, and sometimes money. At best, you end up with a polluted notification tray full of fake alerts that make it harder to spot something genuinely important. At worst, you follow one scare message too far, hand over personal details or payment information, and become the victim of fraud, identity theft, or aggressive subscription traps. And even if you never click again, your browser is still quietly loading pages and ads you never asked for.

How to stay safe from Pushpaganda

Treat “Allow notifications” prompts as potential traps, especially on sites you’ve never heard of that you reached via a feed or a search result. And even more so if they come with additional, misleading, instructions.

Besides that you should:

  • Be skeptical of sensational cards in your Discover feed that promise sudden cash, miracle devices, or dramatic political revelations.
  • Don’t trust buttons that scream “Apply now,” “Claim now,” or “Join WhatsApp” on pages that already feel pushy or poorly written.
  • Keep your browser, operating system (OS), and other important software up to date.
  • Use a security app that can block malicious websites and scam pages before they load.

Scammers know more about you than you think. 

Malwarebytes Mobile Security protects you from phishing, scam texts, malicious sites, and more. With real-time AI-powered Scam Guard built right in. 

Download for iOS → Download for Android → 

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Building AI defenses at scale: Before the threats emerge

At AWS, we’ve spent decades developing processes and tools that enable us to defend millions of customers simultaneously, wherever they operate around the world. AI has been an extremely helpful addition to the automation our security and threat intelligence teams do every day, and we’re still early in this journey. Our AI-powered log analysis system has reduced the time SecOps engineers spend analyzing security logs from an average of six hours to just seven minutes, a 50x productivity increase that lets us detect and respond to threats faster than ever. Across AWS, we analyze over 400 trillion network flows per day to detect patterns that signal emerging threats. In 2025 alone, we blocked over 300 million attempts to maliciously encrypt customer files hosted on Amazon S3. At this scale, every improvement in our operations helps protect all customers. AI is already helping us make our defenses stronger for everyone, and I’m excited to see that improvement continue.

A new class of AI for cybersecurity

Today, Anthropic announced Project Glasswing, a cybersecurity initiative designed to secure the world’s most critical software and advance the cybersecurity practices the industry will need as AI grows more capable. Organizations that build or maintain critical digital infrastructure are getting early access to Claude Mythos Preview, a new class of AI model, to find and patch vulnerabilities in the systems the world depends on. Given our role in securing some of the world’s most essential infrastructure, AWS is playing an integral part in advancing this work.

As part of Project Glasswing, we’ve already applied Claude Mythos Preview to critical AWS codebases that undergo continuous AI-powered security reviews, and even in those well-tested environments, it’s helped us identify additional opportunities to strengthen our code. In our internal testing, Claude Mythos Preview has proven more productive than previous models at surfacing security findings, requiring less manual guidance from our engineers to deliver actionable results. We’ve also given early access to a select group of AWS customers, who are deploying Claude Mythos Preview in their own security workflows and helping shape how the model evolves.

As AI tools grow more powerful in their ability to identify security issues, so must our ability to use them defensively. To that end, we’ve been working closely with Anthropic to help ensure Claude Mythos Preview is ready for enterprise use. AWS is Anthropic’s primary cloud provider for mission-critical workloads, safety research, and foundation model development. More broadly, AWS provides the foundational infrastructure that the world’s leading AI companies rely on to build, train, and deploy their most advanced models. We’re bringing decades of security experience to this partnership, helping to ensure Claude Mythos Preview is ready for even more organizations to build upon and operate securely at scale.

Claude Mythos Preview signals an upcoming wave of models that can find vulnerabilities and build working exploits at a scale and speed we haven’t seen before. Anthropic and AWS are taking a deliberately cautious approach to release. Access begins with a small number of organizations, prioritizing internet-critical companies and open-source maintainers whose software and digital services impact hundreds of millions of users. The goal: find and fix vulnerabilities in the world’s most critical software. Claude Mythos Preview is available in gated research preview through Amazon Bedrock with enterprise-grade security controls, including customer-managed encryption, VPC isolation, and detailed logging, so your team can explore Claude Mythos Preview’s capabilities without exposing production assets to unnecessary risk.

AWS architects services with security at the core

Our work with Project Glasswing is grounded in a philosophy we’ve developed over two decades of securing mission-critical workloads: you can’t wait for threats to materialize before building your defenses. You have to look around corners, adopt new technologies, build protections first, deploy them in your own operations at scale, and refine them based on what you learn.

That’s exactly what we’ve done at AWS with AI and security. Our approach spans the full spectrum: proactive defense through threat hunting and vulnerability research, dynamic response to active campaigns, and third-party certifications that verify our security practices meet the highest industry standards. This operational experience has taught us where AI accelerates security work and where human judgment remains essential. And it’s reinforced that security innovation must be pragmatic: proven in production before we ask you to rely on it.

That’s also why we help define what secure AI looks like. We became the first major cloud provider to achieve ISO 42001 certification for AI services. We’re active participants in OWASP, the Coalition for Secure AI, and the Frontier Model Forum. And we co-founded the Open Cybersecurity Schema Framework (OCSF) to enable better threat intelligence sharing across the ecosystem. The AWS Nitro System provides mathematically proven isolation for workloads. Systems and services like KMS, Nitro, EKS, and Lambda are designed with zero-operator access architectures, meaning AWS personnel can’t access your data. These aren’t aspirational goals. They’re how we operate today, at scale, every day.

Amazon Bedrock is where these principles come to life for AI. Bedrock provides policy-enforced access controls, built-in evaluation tools to measure how effectively models identify and validate vulnerabilities, and the ability to run workloads inside your own virtual private cloud. AWS is also the first cloud provider to achieve FedRAMP High and Department of Defense Security Requirements Guide Impact Level 4 and 5 authorizations for generally available Claude foundation models. Amazon Bedrock is already where the most security-sensitive organizations trust Anthropic’s technology, and it makes perfect sense for Claude Mythos Preview.

How to get started today

The same principles that guide our work at AWS scale apply regardless of which AI tools you’re using: comprehensive observability, defense in depth, automation where it adds value, and human judgment where it’s essential. Here’s how to put them into practice.

Prepare for the next generation of AI security. Claude Mythos Preview signals an upcoming wave of AI models that will transform cybersecurity. Start strengthening your security posture now so your organization is ready as these capabilities become more broadly available. Claude Mythos Preview is available in gated preview through Amazon Bedrock, and access is limited to an initial allow-list of organizations. If your organization has been allow-listed, your AWS account team will reach out directly.

Run on-demand penetration testing with AWS Security Agent. Now generally available, AWS Security Agent delivers autonomous penetration testing that operates 24/7 at a fraction of the cost of manual penetration tests. It transforms penetration testing from a periodic bottleneck into an on-demand capability that scales with your development velocity across AWS, Azure, GCP, other cloud providers, and on-premises. AWS Security Agent represents a new class of frontier agents: autonomous systems that work independently to achieve goals, scale to tackle concurrent tasks, and run persistently without constant human oversight. It deploys specialized AI agents to discover, validate, and report security vulnerabilities through sophisticated multi-step scenarios. Unlike traditional scanners that generate findings without validation, AWS Security Agent identifies potential vulnerabilities, then attempts to exploit them with targeted payloads and attack chains to confirm they are legitimate security risks. Each finding includes CVSS risk scores, application-specific severity ratings, detailed reproduction steps, and remediation suggestions. The result: penetration testing that once took weeks now completes in hours, scales across your entire application portfolio, and helps you get started with remediation instead of leaving you with a report. New customers can explore AWS Security Agent with a 2-month free trial.

Build AI applications you can trust with Amazon Bedrock. For teams building with generative AI, the challenge isn’t just making AI work, it’s making AI work safely. Amazon Bedrock provides the security and safety controls you need to deploy AI responsibly. Its Automated Reasoning capability is the first and only AI safeguard to use formal logic to help prevent factual errors from hallucinations, providing verifiable explanations with 99% accuracy, a capability we’ve refined over more than a decade of applying formal methods across AWS storage, identity, and networking. Amazon Bedrock also provides customizable guardrails that block harmful content and enforce your content policies, along with comprehensive observability to track AI behavior and detect anomalies across your workloads.

The threat landscape isn’t waiting

The threat landscape isn’t waiting for us to catch up. Nation-state actors, ransomware operators, and supply chain attackers are already using AI to scale their operations. Our job is to stay ahead by building defenses first, deploying them at scale, and sharing what we learn so the entire community benefits.

That’s what we do every day at AWS. We build in security from the start, ensuring it works and scales before we ask customers to rely on it. We set standards rather than follow them. And we look around corners to address tomorrow’s challenges today.

As AI capabilities continue to evolve, this approach won’t change. We’ll keep building defenses first, refining them at scale, and working with partners like Anthropic to ensure the next generation of AI security tools meets the real-world needs of enterprises defending at this scale.

Learn More

If you have feedback about this post, submit comments in the Comments section below.

Amy Herzog

Amy Herzog is Vice President and Chief Information Security Officer (CISO) at Amazon Web Services (AWS) where she leads a global organization of cloud security professionals in a company in which security is the top priority. Prior to joining AWS, Amy served as CISO for Amazon’s Devices and Services, Media and Entertainment, and Advertising businesses, overseeing the security of consumer technology offerings such as Alexa+ and Ring, and playing a key role in the secure development of Project Kuiper, Amazon’s initiative to provide fast, reliable broadband to customers and communities around the world through low earth orbit satellites.

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AI SOC for teams outgrowing MDR

For teams that have outgrown their MDR, the answer isn’t a better MDR. It’s a different operating model.

MDR works. For a lot of teams, it’s the right solution at the right time. It brings experienced analysts, established processes, and investigation capacity that most organizations can’t build internally overnight.

But as environments grow and alert volumes climb, many teams start to feel the limits of the model itself. Investigation quality depends on analyst availability and shift coverage. Low and medium severity alerts get deprioritized because the queue demands it. And the security team watching from the other side can’t always tell whether the backlog is safe to ignore or hiding something real.

That’s not a failure of MDR. It’s a ceiling built into any operating model that scales investigation through human labor.

Today, we’re announcing expanded capabilities in the Intezer AI SOC platform, powered by ForensicAI™. Built for teams who’ve reached that ceiling and are ready for what comes next.

The risk in the backlog

Across enterprise SOC environments, roughly 60% of alerts go unreviewed. Not because teams aren’t working hard. Because there are only so many hours in a day, and the alert stream doesn’t stop.

“Many organizations handle millions of security events per year. There’s no possible way you can go through 100% of your alerts and resolve them completely, unless you rely on an AI platform.”
— Cecil Pineda, 4x CISO, Healthcare Industry

Our analysis of more than 25 million alerts found that nearly 1% of real threats originate from low-severity signals, alerts that most teams deprioritize or skip entirely. For a large enterprise, that’s an average of 54 true threat alerts per year. More than one per week. Hiding in the noise tier that nobody gets to. 

Read our full AI SOC research report.

There’s also a second gap that rarely gets discussed. Because investigation and detection engineering are siloed within most MDRs, real investigation outcomes almost never feed back into SIEM and EDR rule tuning. Noisy detections stay noisy. Coverage gaps stay gaps. The system doesn’t learn from its own work.

What’s new in the Intezer AI SOC

The Intezer AI SOC platform was built on a simple premise. If you can’t investigate every alert, you can’t meaningfully reduce risk. Intezer AI SOC handles the investigative execution (triage, correlation, forensic-depth analysis) across 100% of alerts, regardless of severity. Humans supervise outcomes and engage at the decision point.

With this expansion, we’re adding three capabilities that close the remaining gaps between autonomous AI SOC operations and the full-service coverage teams expect.

AI-driven detection engineering

Investigation outcomes now feed directly into a closed-loop detection engineering process. SIEM and EDR rules are tuned or created, at the source, based on real verdict data, threat intelligence, and observed attacker behavior. Broken detections, noisy rules, and coverage gaps are identified and addressed continuously. This is the connection that siloed MDR roles have historically missed. Triage informs detection, better detection shortens the triage process, and the system gets smarter over time.

On-demand security experts

When the AI surfaces a high-confidence incident and you want a second set of eyes, or you’re mid-response and need expert judgment, Intezer’s security researchers and analysts are available directly through the platform. You can request expert analysis of artifacts, alerts, and logs, get guidance during an active incident, or validate suspicious activity the AI flagged. A dedicated expert is always on call for urgent requests, with Customer Success tracking every engagement through to resolution.

Continuous feedback and model tuning

Every time your team reviews a verdict, marks a false positive, or flags a result that doesn’t fit, that signal improves the system. Intezer’s experts review edge cases, adjust tuning rules, and add custom AI instructions calibrated to your environment and risk profile. Tuning also happens proactively through continuous platform monitoring and improvements, with no periodic review project required.

Learn more about Intezer’s QA process. 

The shift

“Security operations have reached a structural limit. Human teams, whether internal or outsourced to MDR providers, cannot realistically investigate the volume of alerts enterprises now face. Our analysis of more than 25 million alerts makes the risk clear: Real threats are often buried in the low-severity signals that never get investigated. AI SOC changes the model by making full forensic investigation possible across every alert, continuously improving detection based on real outcomes, and allowing human experts to focus on the incidents that truly require judgment and response.”
— Itai Tevet, CEO and Co-Founder, Intezer

Together, these capabilities shift security teams away from manual alert processing and toward supervising outcomes. Organizations that have outgrown their MDR can now investigate 100% of alerts at forensic depth, trust the evidence behind every verdict, close the loop between investigation outcomes and detection quality, and bring in expert analysts when it matters most.

The result is stronger security outcomes, broader alert coverage, and the ability to operate at enterprise scale without the constraints of a human-scaled model.

AI executes. Humans supervise.

RSA Conference is where the security industry sets its direction. This year, AI in the SOC is the conversation happening on every floor of Moscone. But there’s a meaningful difference between AI that helps analysts work faster and AI that takes on the investigative function entirely.

This announcement draws that line with data. 25 million alerts analyzed, 60% going unreviewed in enterprise environments, real threats hiding in the low-severity tier at a rate of more than one per week. These aren’t hypotheticals. They’re findings from production environments at scale where Intezer is not simply delivering better analyst productivity, but rather measurable improvements in enterprise security. 

For teams that have been thinking about what comes after MDR, this is the moment to see it working. 

Visit Intezer at Moscone South, Booth #555

The post AI SOC for teams outgrowing MDR appeared first on Intezer.

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Intezer’s 2025 momentum reflects rapid adoption of AI SOC in global enterprise 

Security operations is undergoing a fundamental shift.

As alert volumes continue to rise and environments grow more complex, enterprises are moving away from security models built on manual triage, fragmented automation, and are looking to decrease their reliance on outsourced MDR services. More enterprises are adopting AI SOC as the new model for running security operations, one that can triage and  investigate all alerts at machine scale while keeping internal teams focused on judgment and response.

That shift was reflected clearly in Intezer’s momentum over the past year.

In 2025, Intezer processed more than 25 million security alerts across live enterprise SOC environments, as adoption expanded across large and complex organizations looking for a more scalable way to run security operations.

A year of strong growth

Over the past year, Intezer achieved several major company milestones:

  • Multiplied revenue year over year
  • Achieved 126% net revenue retention
  • Expanded adoption across Fortune 500 organizations
  • Scaled the team across key functions to support a growing enterprise customer base

These milestones reflect more than company growth. They reflect a broader market transition toward AI SOC as enterprises look for ways to investigate every alert, reduce hidden risk, and operate beyond the limits of human investigation capacity.

Growing industry recognition

Intezer’s momentum is also being recognized by media, industry analysts and practitioners. Here is a sampling of recent coverage.

Reuters covered Intezer’s research team’s work on uncovering novel cyber attacks this past December, that were targeting Russian defense organizations.

Well known industry analyst Richard Stiennon recently included Intezer in the 2026 Cyber 150, an independently compiled list based on IT-Harvest data, and has also included Intezer in his new book, Guardians of the Machine Age.

At the same time, practitioners are taking notice. In his write-up on Intezer’s 2026 AI SOC Report, Darwin Salazar highlighted the report’s forensic depth, auditability, and practical value in a crowded AI SOC market.

Why this momentum matters

Traditional SOC and MDR models are constrained by human investigation bandwidth. As alert volumes increase, teams are forced to prioritize only a subset of alerts, often based on severity labels before full context is available. That leaves real risk hiding in uninvestigated alerts.

Enterprises are increasingly adopting AI SOC to remove that bottleneck.

Intezer investigates 100% of alerts at forensic depth across endpoint, identity, cloud, network, phishing, and SIEM sources, escalating only the incidents (less than 2%) that require human judgment. This allows security teams to stay in control while scaling operations far beyond what manual investigation models can support.

What the numbers show

The business results from the past year point to strong validation in the market.

Doubling revenue year over year signals accelerating demand.

126% net revenue retention reflects strong customer expansion and continued platform adoption.

Growth across Fortune 500 organizations shows that large enterprises are increasingly embracing this operating model.

And continued team expansion across key functions ensures Intezer can support customers as adoption grows.

Looking ahead

The market is moving toward a new SOC operating model, one where AI executes investigations at scale and human teams focus on decisions, response, and strategy.

Intezer’s momentum over the past year reflects that shift clearly. As more enterprises look to eliminate investigation bottlenecks and reduce cyber risk, AI SOC is moving from emerging category to operational reality.

Learn more about Intezer.

The post Intezer’s 2025 momentum reflects rapid adoption of AI SOC in global enterprise  appeared first on Intezer.

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Nordic MSPs Can Now Access Heimdal’s Unified Security and Compliance Platform Through Elovade

Copenhagen, Denmark – 18 March 2026 – Heimdal has appointed Elovade as its official distributor in the Nordic region. The move gives MSPs and resellers across Sweden, Norway, Denmark, Iceland, and Finland direct access to Heimdal’s consolidated cybersecurity platform through a local value-added distributor. Most Nordic MSPs are running disconnected security tools: separate vendors for […]

The post Nordic MSPs Can Now Access Heimdal’s Unified Security and Compliance Platform Through Elovade appeared first on Heimdal Security Blog.

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