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Email threat landscape: Q2 2026 trends and insights | Microsoft Security Blog Real world incident response: Microsoft and AXA XL strengthen cyber resilience | Microsoft Security Blog Microsoft at Black Hat USA 2026: Defending trust in the age of AI and supply chain attacks | Microsoft Security Blog ACR Stealer: Two observed intrusion chains amid increased threat activity | Microsoft Security Blog Least privilege for AI agents: Identity, access, and tool binding | Microsoft Security Blog Unpacking the AsyncAPI npm supply chain compromise and import-time payload delivery | Microsoft Security Blog Turning threat intelligence into decisive action with Defender Experts | Microsoft Security Blog Defending SaaS-based applications against ShinyHunters OAuth abuse | Microsoft Security Blog Microsoft Entra ID security updates: Passkeys are the default authentication method in Entra ID | Microsoft Security Blog Securing our future: July 2026 progress report on Microsoft's Secure Future Initiative | Microsoft Security Blog GigaWiper: Anatomy of a destructive backdoor assembled from multiple malware | Microsoft Security Blog Protecting Microsoft at AI speed: How SFI proactively hardens our cloud   | Microsoft Security Blog 5 insights from Frost & Sullivan’s 2025 Frost Radar™ for Cloud Security Posture Management | Microsoft Security Blog Improving security posture across the Microsoft partner ecosystem | Microsoft Security Blog Microsoft named a leader in the Frost Radar for cloud and application runtime security | Microsoft Security Blog Accelerating the quantum-safe timeline | Microsoft Security Blog ​​What’s new in Microsoft Security: June 2026 | Microsoft Security Blog Securing AI agents: When AI tools move from reading to acting | Microsoft Security Blog Chromium extension uses AI‑related branding to redirect browser search | Microsoft Security Blog Photo ZIP campaign targeting hospitality industry delivers Node.js implant for persistent access | Microsoft Security Blog Microsoft a Leader in The Forrester Wave™ for Endpoint Management Platforms | Microsoft Security Blog CNAPP evolution: How Microsoft aligns with leading cloud risk management platforms | Microsoft Security Blog StealC and Amadey: Breaking down infostealers and the cybercrime services that deliver them | Microsoft Security Blog Guarding AI memory | Microsoft Security Blog One intrusion, two cyberattackers: Uncovering parallel threat activity | Microsoft Security Blog AutoJack: How a single page can RCE the host running your AI agent  | Microsoft Security Blog New Forrester study shows customers who unified with Microsoft Security benefited from 124% ROI | Microsoft Security Blog From package to postinstall payload: Inside the Mastra npm supply chain compromise | Microsoft Security Blog Crypto Clipper uses Tor and worm-like propagation for persistence and control | Microsoft Security Blog Beyond the benchmark: Advancing security at AI speed  | Microsoft Security Blog ​​Forrester names Microsoft a Leader in the 2026 Extended Detection and Response Platforms Wave™ report | Microsoft Security Blog AI is accelerating cyberattacks—here’s how to stay ahead Microsoft Defender email security benchmarking: Key insights from one year of data | Microsoft Security Blog Reconstructing AI activity in investigations AI brands as bait: How threat actors are using the AI hype in social engineering Securing CI/CD in an agentic world: Claude Code Github action case Updating the taxonomy of failure modes in agentic AI systems: What a year of red teaming taught us Preinstall to persistence: Inside the Red Hat npm Miasma credential-stealing campaign Turn specs into evals for any agent with ASSERT Microsoft Build 2026: Securing code, agents, and models across the development lifecycle Malicious npm packages abuse dependency confusion to profile developer environments Microsoft is named a Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection Typosquatted npm packages used to steal cloud and CI/CD secrets The Gentlemen ransomware: Dissecting a self-propagating Go encryptor From poisoned search results to GPU mining: A cryptojacking campaign abusing ScreenConnect and Microsoft .NET utilities Microsoft recognized as a Leader in The Forrester Wave™ for Workforce Identity Security Platforms From edge appliance to enterprise compromise: Multi-stage Linux intrusion via F5 and Confluence Microsoft Security success stories: How St. Luke’s and ManpowerGroup are securing AI foundations What’s new in Microsoft Security: May 2026 Mini Shai Hulud: Compromised @antv npm packages enable CI/CD credential theft Securing the gaming culture of cultures Introducing RAMPART and Clarity: Open source tools to bring safety into Agent development workflow Exposing Fox Tempest: A malware-signing service operation How Storm-2949 turned a compromised identity into a cloud-wide breach How to better protect your growing business in an AI-powered world Defense in depth for autonomous AI 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potential risk Inside an AI‑enabled device code phishing campaign Storm-1175 focuses gaze on vulnerable web-facing assets in high-tempo Medusa ransomware operations Threat actor abuse of AI accelerates from tool to cyberattack surface Cookie-controlled PHP webshells: A stealthy tradecraft in Linux hosting environments Mitigating the Axios npm supply chain compromise Critical Infrastructure at Risk | Security Insider
AI-powered defense for an AI-accelerated threat landscape
Ales Holecek · 2026-04-23 · via Microsoft Security Blog

We are at an inflection point in cybersecurity.

Recent advances in AI model capabilities are changing how vulnerabilities are discovered and exploited. AI models can autonomously discover weaknesses, chain multiple lower-severity issues into working end-to-end exploits, and produce working proof-of-concept code. This significantly compresses the window between vulnerability discovery and exploitation.

These changes require organizations to rethink exposure, response, and risk. However, the same capabilities that can give attackers an advantage also create a unique opportunity for defenders. When applied correctly, they can accelerate vulnerability discovery, improve detection engineering, and reduce time to mitigation. We look forward to working together as an industry to use these AI model capabilities as part of enterprise-grade solutions to tilt the balance in favor of defenders.

Partnering with leading model providers

Security has been and remains the top priority at Microsoft. Over the last two years, through our Secure Future Initiative (SFI), we have strengthened our security foundations for this age of AI, in part by using AI to accelerate vulnerability discovery and remediation and help defend against threats. We have also invested in fundamental AI for security research, including the development of open-source industry benchmarks that can be used to evaluate whether models are ready for real-world security work.

As we move forward, we are accelerating this work and partnering with the industry to use leading models, paired with our platforms and expertise, to turn AI-driven discovery into protection at scale.

Through Project Glasswing, Microsoft is working closely with Anthropic and industry partners to test Claude Mythos Preview, identify and mitigate vulnerabilities earlier, and coordinate defensive response. We evaluated Mythos using CTI-REALM, our open-source benchmark for real-world detection engineering tasks, and the results showed substantial improvements relative to prior models.

Microsoft is also evaluating other models. As part of our overall security approach, we continuously evaluate models from multiple providers as they are made available and integrate them into our enterprise-grade security platform. This multi-model approach is intentional as no single model defines our strategy.

Taking action in three fundamental areas

Defenders need to move faster to keep pace with AI-driven threats. We are focusing on three areas to help customers reduce risk and improve resilience.

1. AI-led vulnerability discovery and mitigations to stay current on software

We plan to incorporate advanced AI models, like Claude Mythos Preview, directly into our Security Development Lifecycle (SDL) to identify vulnerabilities and develop mitigations and updates. This allows us to discover more issues more quickly across a broader surface area than previous methods and address them earlier in the lifecycle.

AI-assisted discoveries are handled through our existing Microsoft Security Response Center (MSRC) processes, including Update Tuesday—our predictable and systematic way of distributing updates to customers—and out-of-band updates, where appropriate. Customers using Microsoft platform as a service (PaaS) and software as a service (SaaS) cloud services do not need to take any action; mitigations and updates are applied automatically. For customers who deploy Microsoft products on their own infrastructure, whether on-premises or self-hosted, staying current on all security updates is now not only the best practice; it is a fundamental requirement for staying secure against AI exposure.

We will deploy detections to Microsoft Defender, our threat protection solution, when updates are released and share details through the Microsoft Active Protections Program (MAPP) partners to help mitigate risk. We are also using advanced AI models to proactively scan select open-source codebases. Identified issues will be addressed through coordinated vulnerability disclosure.

2. AI-ready posture to reduce exposure

Patching, while critical, is not sufficient on its own. We have identified the five dimensions where autonomous AI driven attacks gain disproportionate advantage—patching, open-source software, customer source code, internet-facing assets, and baseline security hygiene.

For each dimension, Microsoft Security Exposure Management provides guidance and capabilities that customers can use to:

  • Assess their current state.
  • Understand prioritized actions to reduce risk.
  • Evaluate “what-if” scenarios before making changes.
  • Apply automation to remediate issues at scale.

These capabilities include tools like Microsoft Defender External Attack Surface Management (EASM) for continuous discovery of internet-facing assets, GitHub Advanced Security with CodeQL, Copilot Autofix for open-source and first-party code, and Microsoft Baseline Security Mode (BSM) to apply foundational controls across Exchange, Microsoft Teams, SharePoint, OneDrive, Office, and Microsoft Entra—with impact simulation before enforcement.

Others in the industry have shared guidance and rightly emphasized the importance of continuous asset discovery and posture management. We are delivering an integrated experience through a new Microsoft Security Exposure Management blade—Secure Now—that combines guidance with the ability to act, so customers proactively reduce their exposure. Secure Now is available today at https://security.microsoft.com/securenow

3. AI-powered solutions to defend at scale

Beyond plans to use advanced AI models directly into our Security Development Lifecycle (SDL), we are separately building new solutions to help customers leverage advanced AI models to improve their security at enterprise scale.

  • Rapidly deployed Defender detections developed for AI-discovered vulnerabilities, sim-shipping with corresponding updates to help mitigate risk immediately.
  • We have learned through our own testing that model capability to discover potential vulnerabilities is only the beginning. Organizations must also be able to use AI to validate and prioritize based on exploitability and impact, and build the fix. To help we plan to productize a new multi-model AI-driven scanning harness developed internally and make it available to customers to streamline their experience and deliver outcomes more quickly. This solution is expected to be available in preview in June 2026.

Our goal is to ensure findings are actionable. While models are powerful on their own, without prioritization and context, large volumes of results can overwhelm development teams. These new solutions are designed to pair model output with the context and security solutions needed for enterprises to drive security effectiveness at scale.

Get started today

Customers can get started now by reviewing the guidance at https://security.microsoft.com/securenow. Any customer with a Microsoft Entra ID will be able to access the guidance. In addition, Microsoft Security customers will have access to capabilities that enable them to assess their exposure and take action.

We have also mobilized our Customer Success organization to support customers in implementing this guidance.

What’s ahead

This work is ongoing. We will continue to share updates as testing progresses, new models emerge, and new guidance and solutions become available. The threat landscape will continue to evolve, but so will our defenses—and we are committed to ensuring that our customers have the tools, guidance, and partnership they need to stay ahead.

Security is a team sport. The organizations that act on this shift—by staying current on patches, reducing exposure, and leveraging AI-powered security solutions—will be significantly harder to compromise than those that do not. The time to act is now and we look forward to partnering with the industry to build a safer world for all.

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.