Tech bros have been wanting to become immortal for years. Until they get there, their fallback might be continuing to post nonsense on social media from the afterlife.

On December 30, 2025, Meta was granted US patent 12513102B2: Simulation of a user of a social networking system using a language model. It describes a system that trains an AI on a user’s posts, comments, chats, voice messages, and likes, then deploys a bot to respond to newsfeeds, DMs, and even simulated audio or video calls.

Filed in November 2023 by Meta CTO Andrew Bosworth, it sounds innocuous enough. Perhaps some people would use it to post their political hot takes while they’re asleep.

Dig deeper, though, and the patent veers from absurd to creepy. It’s designed to be used not just from beyond the pillow but beyond the grave.

From the patent:

“The language model may be used for simulating the user when the user is absent from the social networking system, for example, when the user takes a long break or if the user is deceased.”

A Meta spokesperson told Business Insider that the company has no plans to act on the patent. And tech companies have a habit of laying claim to bizarre ideas that never materialize. But Facebook’s user numbers have stalled, and it presumably needs all the engagement it can get. We already know that the company loves the idea of AI ‘users’, having reportedly piloted them in late 2024, much to human users’ annoyance.

If the company ever did decide to pull the trigger on this technology, it would be a departure from its own memorialization policy, which preserves accounts without changes. One reason the company might not be willing to step over the line is that the world simply isn’t ready for AI conversations with the dead. Other companies have considered and even tested similar systems. Microsoft patented a chatbot that would allow you to talk to AI versions of deceased individuals in 2020; its own AI general manager called it disturbing, and it never went into production. Amazon demonstrated Alexa mimicking a dead grandmother’s voice from under a minute of audio in 2022, framing it as preserving memories. That never launched either.

Some projects that did ship left people wishing they hadn’t. Startup 2Wai’s avatar app originally offered the chance to preserve loved ones as AI avatars. Users called it “nightmare fuel” and “demonic”. The company seems to have pivoted to safer ground like social avatars and personal AI coaches now.

The legal minefield

The other thing holding Meta back could be the legal questions. Unsurprisingly for such a new idea, there isn’t a uniform US framework on the use of AI to represent the dead. Several states recognize post-mortem right of publicity, although states like New York limit that to people whose voices and images have commercial value (typically meaning celebrities). California’s AB 1836 specifically targets AI-generated impersonations of the deceased, though.

Meta would also need to tiptoe carefully around the law in Europe. The company had to pause AI training on European users in 2024 under regulatory pressure, but then launched it anyway in March last year. Then it refused to sign the EU’s GPAI Code of Practice last July (the only major AI firm to do so). Meta’s relationship with EU regulators is strained at best.

Europe’s General Data Protection Regulation (GDPR) excludes deceased persons’ data, but Article 85 of the French Data Protection law lets anyone leave instructions about the retention, deletion and communication of their personal data after death. The EU AI Act’s Article 50 (fully applicable this August) will also require AI systems to disclose they are AI, with penalties up to €15 million or 3% of worldwide turnover for companies that don’t comply.

Hopefully Meta really will file this in the “just because we can do it doesn’t mean we should” drawer, and leave erstwhile social media sharers to rest in peace.

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OpenClaw faces security vulnerabilities and misconfiguration risks despite rapid patches and its transition to an OpenAI-backed foundation.

The post OpenClaw Security Issues Continue as SecureClaw Open Source Tool Debuts appeared first on SecurityWeek.

The title of the post is”What AI Security Research Looks Like When It Works,” and I agree:

In the latest OpenSSL security release> on January 27, 2026, twelve new zero-day vulnerabilities (meaning unknown to the maintainers at time of disclosure) were announced. Our AI system is responsible for the original discovery of all twelve, each found and responsibly disclosed to the OpenSSL team during the fall and winter of 2025. Of those, 10 were assigned CVE-2025 identifiers and 2 received CVE-2026 identifiers. Adding the 10 to the three we already found in the Fall 2025 release, AISLE is credited for surfacing 13 of 14 OpenSSL CVEs assigned in 2025, and 15 total across both releases. This is a historically unusual concentration for any single research team, let alone an AI-driven one.

These weren’t trivial findings either. They included CVE-2025-15467, a stack buffer overflow in CMS message parsing that’s potentially remotely exploitable without valid key material, and exploits for which have been quickly developed online. OpenSSL rated it HIGH severity; NIST‘s CVSS v3 score is 9.8 out of 10 (CRITICAL, an extremely rare severity rating for such projects). Three of the bugs had been present since 1998-2000, for over a quarter century having been missed by intense machine and human effort alike. One predated OpenSSL itself, inherited from Eric Young’s original SSLeay implementation in the 1990s. All of this in a codebase that has been fuzzed for millions of CPU-hours and audited extensively for over two decades by teams including Google’s.

In five of the twelve cases, our AI system directly proposed the patches that were accepted into the official release.

AI vulnerability finding is changing cybersecurity, faster than expected. This capability will be used by both offense and defense.

More.

Scammers have found a new use for AI: creating custom chatbots posing as real AI assistants to pressure victims into buying worthless cryptocurrencies.

We recently came across a live “Google Coin” presale site featuring a chatbot that claimed to be Google’s Gemini AI assistant. The bot guided visitors through a polished sales pitch, answered their questions about investment, projecting returns, and ultimately ended with victims sending an irreversible crypto payment to the scammers.

Google does not have a cryptocurrency. But as “Google Coin” has appeared before in scams, anyone checking it out might think it’s real. And the chatbot was very convincing.

AI as the closer

The chatbot introduced itself as,

“Gemini — your AI assistant for the Google Coin platform.”

It used Gemini-style branding, including the sparkle icon and a green “Online” status indicator, creating the immediate impression that it was an official Google product.

When asked, “Will I get rich if I buy 100 coins?”, the bot responded with specific financial projections. A $395 investment at the current presale price would be worth $2,755 at listing, it claimed, representing “approximately 7x” growth. It cited a presale price of $3.95 per token, an expected listing price of $27.55, and invited further questions about “how to participate.”

This is the kind of personalized, responsive engagement that used to require a human scammer on the other end of a Telegram chat. Now the AI does it automatically.

A persona that never breaks

What stood out during our analysis was how tightly controlled the bot’s persona was. We found that it:

• Claimed consistently to be “the official helper for the Google Coin platform”
• Refused to provide any verifiable company details, such as a registered entity, regulator, license number, audit firm, or official email address
• Dismissed concerns and redirected them to vague claims about “transparency” and “security”
• Refused to acknowledge any scenario in which the project could be a scam
• Redirected tougher questions to an unnamed “manager” (likely a human closer waiting in the wings)

When pressed, the bot doesn’t get confused or break character. It loops back to the same scripted claims: a “detailed 2026 roadmap,” “military-grade encryption,” “AI integration,” and a “growing community of investors.”

Whoever built this chatbot locked it into a sales script designed to build trust, overcome doubt, and move visitors toward one outcome: sending cryptocurrency.

Why AI chatbots change the scam model

Scammers have always relied on social engineering. Build trust. Create urgency. Overcome skepticism. Close the deal.

Traditionally, that required human operators, which limited how many victims could be engaged at once. AI chatbots remove that bottleneck entirely.

A single scam operation can now deploy a chatbot that:

• Engages hundreds of visitors simultaneously, 24 hours a day
• Delivers consistent, polished messaging that sounds authoritative
• Impersonates a trusted brand’s AI assistant (in this case, Google’s Gemini)
• Responds to individual questions with tailored financial projections
• Escalates to human operators only when necessary

This matches a broader trend identified by researchers. According to Chainalysis, roughly 60% of all funds flowing into crypto scam wallets were tied to scammers using AI tools. AI-powered scam infrastructure is becoming the norm, not the exception. The chatbot is just one piece of a broader AI-assisted fraud toolkit—but it may be the most effective piece, because it creates the illusion of a real, interactive relationship between the victim and the “brand.”

The bait: a polished fake

The chatbot sits on top of a convincing scam operation. The Google Coin website mimics Google’s visual identity with a clean, professional design, complete with the “G” logo, navigation menus, and a presale dashboard. It claims to be in “Stage 5 of 5” with over 9.9 million tokens sold and a listing date of February 18—all manufactured urgency.

To borrow credibility, the site displays logos of major companies—OpenAI, Google, Binance, Squarespace, Coinbase, and SpaceX—under a “Trusted By Industry” banner. None of these companies have any connection to the project.

If a visitor clicks “Buy,” they’re taken to a wallet dashboard that looks like a legitimate crypto platform, showing balances for “Google” (on a fictional “Google-Chain”), Bitcoin, and Ethereum.

The purchase flow lets users buy any number of tokens they want and generates a corresponding Bitcoin payment request to a specific wallet address. The site also layers on a tiered bonus system that kicks in at 100 tokens and scales up to 100,000: buy more and the bonuses climb from 5% up to 30% at the top tier. It’s a classic upsell tactic designed to make you think it’s smarter to spend more.

Every payment is irreversible. There is no exchange listing, no token with real value, and no way to get your money back.

What to watch for

We’re entering an era where the first point of contact in a scam may not be a human at all. AI chatbots give scammers something they’ve never had before: a tireless, consistent, scalable front-end that can engage victims in what feels like a real conversation. When that chatbot is dressed up as a trusted brand’s official AI assistant, the effect is even more convincing.

According to the FTC’s Consumer Sentinel data, US consumers reported losing $5.7 billion to investment scams in 2024 (more than any other type of fraud, and up 24% on the previous year). Cryptocurrency remains the second-largest payment method scammers use to extract funds, because transactions are fast and irreversible. Now add AI that can pitch, persuade, and handle objections without a human operator—and you have a scalable fraud model.

AI chatbots on scam sites will become more common. Here’s how to spot them:

They impersonate known AI brands. A chatbot calling itself “Gemini,” “ChatGPT,” or “Copilot” on a third-party crypto site is almost certainly not what it claims to be. Anyone can name a chatbot anything.

They won’t answer due diligence questions. Ask what legal entity operates the platform, what financial regulator oversees it, or where the company is registered. Legitimate operations can answer those questions, scam bots try to avoid them (and if they do answer, verify it).

They project specific returns. No legitimate investment product promises a specific future price. A chatbot telling you that your $395 will become $2,755 is not giving you financial information—it’s running a script.

They create urgency. Pressure tactics like, “stage 5 ends soon,” “listing date approaching,” “limited presale” are designed to push you into making fast decisions.

How to protect yourself

Google does not have a cryptocurrency. It has not launched a presale. And its Gemini AI is not operating as a sales assistant on third-party crypto sites. If you encounter anything suggesting otherwise, close the tab.

• Verify claim on the official website of the company being referenced.
• Don’t rely on a chatbot’s branding. Anyone can name a bot anything.
• Never send cryptocurrency based on projected returns.
• Search the project name along with “scam” or “review” before sending any money.
• Use web protection tools like Malwarebytes Browser Guard, which is free to use and blocks known and unknown scam sites.

If you’ve already sent funds, report it to your local law enforcement, the FTC at reportfraud.ftc.gov, and the FBI’s IC3 at ic3.gov.

IOCs

0xEc7a42609D5CC9aF7a3dBa66823C5f9E5764d6DA

98388xymWKS6EgYSC9baFuQkCpE8rYsnScV4L5Vu8jt

DHyDmJdr9hjDUH5kcNjeyfzonyeBt19g6G

TWqzJ9sF1w9aWwMevq4b15KkJgAFTfH5im

bc1qw0yfcp8pevzvwp2zrz4pu3vuygnwvl6mstlnh6

r9BHQMUdSgM8iFKXaGiZ3hhXz5SyLDxupY

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We don’t just report on scams—we help detect them

Cybersecurity risks should never spread beyond a headline. If something looks dodgy to you, check if it’s a scam using Malwarebytes Scam Guard. Submit a screenshot, paste suspicious content, or share a link, text or phone number, and we’ll tell you if it’s a scam or legit. Available with Malwarebytes Premium Security for all your devices, and in the Malwarebytes app for iOS and Android.

A practical framework for security leaders to build AI-ready teams. Learn to assess capabilities, prioritize training, and balance AI with foundational skills.

The post Building an AI-Ready Cybersecurity Team appeared first on OffSec.

Before tools, before frameworks, before hype, offensive security has always been about one thing: Thinking like an attacker. That foundation now defines the offensive AI security skills practitioners will need as AI reshapes the attack surface. AI systems introduce new behaviors and new failure modes, but the core mindset remains the same: understand how a

The post The Skills That Will Matter for Offensive AI Security in 2026 appeared first on OffSec.