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Received — 17 July 2026 ⏭ AWS Security Blog

AWS Security Blog
Security Hub adds AI workload protection and multicloud support for Microsoft Azure 14 July 2026 at 21:16

Security Hub adds AI workload protection and multicloud support for Microsoft Azure

14 July 2026 at 21:16

Security Hub is our foundation for full-stack enterprise security across clouds. It centralizes your security operations and turns raw signals into prioritized insights, so your team spends its time managing real risk instead of stitching tools together. Today that foundation grows in two directions our customers asked for most. We are adding purpose-built protection for AI workloads, and security monitoring for Microsoft Azure. Both are steps toward a bigger idea, that your best security tools should get smarter by working together.

These expansions came directly from customers, and they reflect where security is heading, not where it has been. The old promise of security tooling was a place to collect everything in one view. Collecting findings was never the hard part. The hard part is understanding them, connecting them, and acting before an attacker does, and doing it at the speed attacks now move. The programs that win from here will be the ones that see across their whole estate and respond fast, not the ones with the most dashboards. That is what we are building toward, and these launches are steps on that path.

Multicloud security management for Microsoft Azure

Customers across industries have made Security Hub a core part of how they run security on AWS. Most of them have run in more than one cloud for years, and they have been clear with us that they want Security Hub to also cover the rest of their estate. Today we do that for Microsoft Azure, with more clouds following quickly.

Security Hub now discovers Azure Virtual Machines, container images, Function Apps, and identities, then evaluates them for misconfigurations, internet exposure, and software vulnerabilities, with posture checks against the CIS Microsoft Azure Foundations Benchmark. Azure findings are prioritized next to your AWS findings using the same finding format, automation, and response workflows, so your team works from one understanding of risk across your entire estate. Azure resources are priced at the same rates as equivalent AWS resources with no additional fees, and there’s an independent 30-day free trial. To learn more, see the What’s New post.

This is not actually our first move beyond AWS. Earlier this year we introduced Security Hub Extended, bringing best-in-class partner solutions across nine security categories into the same experience you already use. Those partner solutions protect endpoints, identities, email, browsers, and data wherever they run, across any cloud, on-premises, and everywhere your enterprise operates. Extended was already our first multicloud and multi-workload step. Today we broaden what our own native capabilities cover, and the two lines of work now advance together.

Protecting AI workloads

Every customer I talk to is building with AI. Generative AI on Amazon Bedrock, model training on SageMaker, agents orchestrating workflows through AgentCore. These workloads are reaching production faster than most security programs can keep up, and teams often don’t yet have the tools to monitor model invocations, track agent behavior, or even know what AI assets exist across the organization. One security leader told me his team only caught a compromised service account, one that had been invoking a foundation model thousands of times, because finance questioned the bill. They found a security incident through an accounting review. The visibility gap is real, and it is already expensive.

This summer we start closing it with three launches. Two are GuardDuty capabilities for threat detection and investigation, and a third is a new Security Hub AI inventory.

GuardDuty AI Protection (generally available)

Amazon GuardDuty AI Protection delivers threat detection purpose-built for Bedrock and SageMaker. It detects anomalous model invocations, cost harvesting attacks where adversaries abuse stolen credentials to run inference at your expense, and prompt injection attempts through integration with Bedrock Guardrails.

Cost harvesting is accelerating. When credentials are compromised, attackers increasingly use them to invoke foundation models. Inference is expensive, demand is high, and stolen access converts straight to value without deploying any infrastructure. GuardDuty analyzes CloudTrail data events, learns what normal invocation looks like at scale, and flags the deviations that signal compromise or abuse. This is detection that only works at AWS scale, because you have to see the signal across millions of workloads to know what normal is. GuardDuty AI Protection is now available to all GuardDuty customers with a 30-day free trial.

GuardDuty AI-powered investigations (preview)

AI-powered investigations take on the manual investigation work that drives alert fatigue and slows response. The capability automatically analyzes GuardDuty findings and the accounts around them to separate true threats from benign activity.

It examines finding context, related activity from the last 90 days, affected resources, and threat indicators, using knowledge graphs and threat intelligence to complete in minutes what used to take hours. Each investigation returns a disposition assessment with confidence scoring, MITRE ATT&CK® classification, supporting evidence, and clear recommendations to suppress, contain, or remediate. Your team focuses on genuine threats, whether across a single account or an entire AWS Organization, and mean time to resolution drops. GuardDuty AI-powered investigations is available in preview in 10 AWS Regions.

Security Hub AI inventory (generally available)

You can’t secure what you don’t know exists. Security Hub now provides an AI inventory, a continuously updated, organization-wide view of your AI assets and their security posture. As teams deploy models, agents, and pipelines, security often can’t see what’s running, and without connecting those assets to active threats and misconfigurations, it’s difficult to know what to secure first.

Security Hub AI inventory discovers and catalogs AI workloads across your AWS environment two ways. For managed services, it inventories AWS Config resources across Bedrock, SageMaker, and AgentCore. For self-hosted and external workloads, it finds models running on EC2, ECS, and EKS through runtime analysis, and identifies the external model endpoints your workloads make calls to. It maps each asset to the infrastructure beneath it, including compute, networking, IAM roles, and data stores, and correlates it with security signals such as GuardDuty findings. So when GuardDuty AI Protection flags an anomalous invocation, AI inventory immediately shows you which infrastructure is involved, what’s connected to it, and where it belongs in your priority order.

AI assets multiply fast. A developer spins up a Bedrock agent for a proof of concept. A data science team stands up a SageMaker endpoint for internal testing. Another team wires in an external model API through a Lambda function. Multiply that across hundreds or thousands of accounts and you can quickly lose track. AI inventory gives you that view across every account in your organization, available in your Security Hub Essentials plan at no additional cost.

A different approach to full-stack security

These launches share something worth pausing on. You didn’t procure AI protection as a separate product, and you won’t stand up separate operations for Azure. You add them to the Security Hub you already run, and they show up in your prioritized view of risk. That same idea is what Security Hub Extended extends to the rest of the security estate.

Security Hub Extended now has 21 curated partners across nine categories: 7AI, Britive, CrowdStrike, Idira (CyberArk), Cyera, Island, LayerX, Native Security, Noma, Okta, Oligo, Opti, Proofpoint, SailPoint, SentinelOne, Splunk, Sublime, Upwind, Varonis, Zenity, and Zscaler. These are best-in-class solutions across endpoint, identity, email, network, data, browser, cloud, AI, and security operations. None of them are here by default. Each one earned its place by committing to a shared view of where enterprise security is going, and by investing alongside us to build it. Curation is the point. A recommendation only means something if it can be turned down.

The commercial benefits of Extended are real today. Pay-as-you-go pricing, a single AWS bill, EDP eligibility, and no long-term commitments. But the work we’re most excited about goes further, and it’s not about procurement at all. Findings from every participating solution are emitted in the Open Cybersecurity Schema Framework (OCSF) and aggregated in Security Hub, and we’re building toward a single correlation across all of them, so a signal from an endpoint solution, an identity solution, and a cloud solution combine into one exposure and one attack path instead of three disconnected alerts. We’re working to reduce the deployment and onboarding effort between subscribing and seeing value. And we’re building the exchange that lets partner findings enrich each other, so the best-in-class tools you already trust become more than the sum of their parts. That is the differentiated future we’re investing in, and we’re building it in the open, guided by what customers ask for next. To learn more about Extended, see the What’s New post.

Accelerating forward

Step back and the shape of it is clear. Security Hub reaches across cloud providers, starting with Azure and expanding from there. It reaches across workload types with purpose-built AI protection and inventory. And it reaches across security categories through Extended and its curated partners. What began as a way to bring order to AWS security findings has become how more enterprises run full-stack security.

Detection and visibility are the foundation. What we build on top of them is a security experience that connects signals across every source you trust and helps you respond faster. It’s still Day 1, and Security Hub will keep extending as your environment, and the threats you face, continue to change.

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

Received — 21 May 2026 ⏭ AWS Security Blog

AWS Security Blog
AWS Security Hub Extended: Why enterprise security products should sell themselves 20 May 2026 at 19:32

AWS Security Hub Extended: Why enterprise security products should sell themselves

AWS Security Blog

By: Michael Fuller

20 May 2026 at 19:32

Our largest security services customers started the same way every customer does – with a click. They enabled Amazon GuardDuty, Amazon Inspector, AWS WAF, and AWS Security Hub, experienced the benefits in real time, and evaluated with transparent pay-as-you-go pricing. No RFP. No six-month evaluation. No multi-year commitment up front. Our field teams played a critical role in that growth, not by selling the first click, but by building the trusted relationships that turned early adoption into deep, long-term commitment. We believe customers should have this same frictionless adoption experience and flexibility for all best-in-class security products and that’s why we developed Security Hub Extended.

In our first post, we introduced Security Hub Extended, a significant expansion of Security Hub that brings together curated partner solutions in a single, unified experience. In our second post, we walked through how it works technically, including the onboarding flow, the pricing model, the unified operations layer built on the Open Cybersecurity Schema Framework (OCSF). In this post, I want to step back and talk about why we built it the way we did and why I believe the way enterprises discover, evaluate, and adopt security solutions is ready for a fundamental shift.

The shift

If you’ve ever tried to evaluate a new enterprise security product, you know the drill. Request a demo. Wait. Take the demo. Request a PoC. Wait for professional services (or your team to stop building) to set it up. Negotiate pricing, which isn’t published, so you’re starting blind. Loop in procurement. Sign a multi-year commitment. Then, months later, find out whether the product actually solves your problem in your unique environment.

Meanwhile, an ambitious security engineer on your team has already spun up an open-source tool, connected real data, and knows in two hours whether it’s going to work for your use cases. They didn’t need a slide deck. They needed a solution they could put their hands on.

A Fortune 500 CISO recently told me: “I spent 9 months procuring a security solution and it still doesn’t work the way the demo showed.” That frustration isn’t unique. It’s the norm.

This isn’t a criticism of the sales motion. Sales-led has evolved for good reason. Enterprise procurement is complex, products need customization, customers need support. I respect the craft and have poured a significant portion of my career into trying to perfect it. Even the most product-driven companies still need great sales, marketing, field enablement, and support.

It doesn’t change the fact that threats are evolving constantly, and defenders need the flexibility to discover and deploy new solutions as fast as the landscape shifts. Having the best solutions discoverable and deployable in that moment of need isn’t just a convenience, it’s a competitive advantage that customers are demanding. A new threat emerges, security teams have access to industry-leading solutions, and in a few clicks they’ve found their answer and are already seeing value. That’s the model every security company should be building toward.

What we’ve learned at AWS

At AWS, we’ve spent two decades learning what it takes to let customers adopt complex enterprise technology on their own terms, at massive scale. We haven’t always gotten it right, but we learn fast and adjust. The result is one of the largest cloud businesses in the world. I bring up that scale for one reason. It’s proof that complex, enterprise-grade technology can be adopted without requiring a traditional procurement gauntlet. Compute, storage, databases, AI/ML, networking, and yes, security — adopted all through a console, on each customer’s own timeline, and scaled when they were ready.

The proof is in the adoption

Amazon GuardDuty, Amazon Inspector, AWS Shield, AWS Security Hub are all available through the AWS Management Console. All pay-as-you-go. All activated with a click. Tens of thousands of customers rely on these security services today. When you make it easy to get started and deliver outcomes that earn confidence, expansion follows naturally.

These are sophisticated, enterprise-grade security solutions. And customers, from two-person startups to the world’s largest financial institutions, adopt them the same way. They try it, see the value, expand, and lean on the AWS team to go deeper.

We didn’t get here by accident, and we definitely didn’t get here without making mistakes. Building products that can be adopted and scaled on their own, without a sales engineer explaining away UX problems, without a solutions architect doing the first deployment, requires a different kind of product mindset. Time-to-value becomes your most important metric. Onboarding friction becomes your biggest enemy. Transparent pricing becomes non-negotiable. It’s hard. We’ve gotten a lot wrong along the way. And we’re still iterating.

But the results are clear. When customers adopt based on experience rather than commitment, they don’t just stay, they expand. They bring their teams. They become advocates. I’ve spent 15 years at AWS, the last 10 building security services like GuardDuty and Security Hub. When we launch a new security service or major feature, we consistently see rapid organic adoption at a pace that would be impossible through traditional sales cycles alone. These products are built to deliver value the moment customers turn them on and we make that as easy as we possibly can. That’s the scale a product-led motion unlocks.

Security Hub Extended

So, we asked ourselves: why can’t we build a similar approach that can expand to include industry leading partner solutions? Why can’t the CrowdStrikes, the Splunks, the Zscalers, and the fast-growing innovators solving tomorrow’s problems like Cyera, Noma, and 7AI also reach customers with the same frictionless motion that AWS services enjoy? Why can’t a security team that discovers a new threat on Monday have a proven solution deployed and delivering value by Tuesday? Our partners have built incredible products. What they haven’t always had is an avenue to put those products directly in the hands of the customers who need them most, at the moment they need them, at scale, in a way that feels as natural as turning on an AWS service. Not by replacing how our partners build or sell, but by giving them infrastructure that lets their products speak for themselves.

That’s what Security Hub Extended is. Security teams already using Security Hub can discover curated partner solutions right alongside their AWS security services. One click to evaluate, one click to deploy, pay-as-you-go pricing on your existing AWS bill with Enterprise Discount Program (EDP) discounts automatically applied. No separate procurement cycle. No long-term commitments required. Start fast, validate at scale, and commit for deeper discounts when you’re ready, versus making a three-year bet based on a few months of testing.

For customers, industry-leading enterprise security solutions become as easy to adopt as GuardDuty or WAF. For our partners, Security Hub Extended is a growth channel where the product leads and the customer experience mirrors what we’ve spent 20 years building at AWS. For the industry, it’s an invitation to reimagine what the relationship between a security product and a security practitioner can look like when you remove the friction standing between them.

But Security Hub Extended isn’t just a simpler way to buy security products. It’s a unified solution. When a customer enables a solution through Extended, we’re working toward an experience where AWS handles the rest. Sensors that deploy automatically across Amazon EC2, Amazon EKS, and AWS Fargate workloads using the same mechanism that powers GuardDuty Runtime Monitoring. IAM roles that provision across a customer’s Organization in one click. Resource inventory is automated from day one – S3 buckets, databases, AI workloads – without manual work.

Once enabled, solutions in Security Hub Extended emit findings in OCSF, automatically aggregated in Security Hub alongside findings from GuardDuty, Amazon Inspector, and every other AWS security service. Security Hub applies risk scoring and correlated risk analytics across all of them. AWS-native and third-party findings together, weighted and prioritized as a single view of your security posture. For example, an endpoint detection from CrowdStrike, correlated with a credential theft in GuardDuty, and a data access event from Cyera, produces an attack path that none of those solutions can produce alone. The correlation uses AWS context (IAM topology, VPC exposure, resource criticality) to improve the context of each attack path for security analysts. Deploying a solution through Security Hub Extended doesn’t add another pane of glass. It deepens the intelligence of the one you already have.

We’re also building toward automated response. Customers will be able to opt in to pre-built playbooks that take action through AWS-native services when a threat is detected, such as isolating compromised resources, revoking credentials, or containing active threats. The goal is detect-to-respond in seconds, not the hours it takes to context-switch across five consoles and two ticketing systems.

Where we are and where we’re headed

We’re still in the first inning — or Day 1, as we like to say at Amazon. We launched in February 2026 with 14 partners, now 21, spanning endpoint, identity, email, network, data, browser, cloud, AI, and security operations, and we’re continuously working backwards from customers as we operationalize for scale. We are building this because our customers asked for it. We’re learning alongside our partners and customers every week, identifying what works, what needs improvement, where the friction still lives, and iterating quickly.

We’re building and delivering at the speed of our customers. That means shipping fast, iterating faster, and not waiting for perfection. We’re not where we want to be just yet, and we need your feedback to get us there. What’s encouraging is that our partners aren’t waiting to be asked. They’re investing in this alongside us. Not because we’re demanding it, but because they see the same thing we do, that companies that make it effortless for customers to get started are the ones that will win at scale.

The early signals are encouraging. Customer response has exceeded our expectations, and the feedback we hear most often is that the procurement simplification and flexibility of pay-as-you-go with public pricing alone, even before the unified operations and data normalization benefits, is a meaningful differentiator.

If you’re a security leader: Security Hub Extended is live now. Log into Security Hub, look for the Security Hub Extended Plan (or visit the Security Hub Extended Pricing Page), and explore what’s available for your use cases. Start with what solves your most urgent problem. Pay-as-you-go, no commitment. Your team will tell you if it’s working in days, not months.

The vision is bigger than what’s live today, and we’re iterating fast. Share your feedback on AWS re:Post for Security Hub, reach out through contact AWS Support, or connect with me directly.