AI and agents
AI and machine learning help you identify threats sooner and respond more effectively. Learn how to safeguard your infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) resources across multicloud and hybrid environments.
Refine results
Topic
Products and services
Publish date
-
AI-powered cyberattacks outpace aging SOC tools, and this new guide explains why manual defense fails and how autonomous, expert-led security transforms modern protection. -
Women’s History Month: Encouraging women in cybersecurity at every career stage
This Women’s History Month, we explore ways to support the next generation of female defenders at every career stage. -
Secure agentic AI for your Frontier Transformation
We are announcing the next step to make Frontier Transformation real for customers across every industry with Wave 3 of Microsoft 365 Copilot, Microsoft Agent 365, and Microsoft 365 E7: The Frontier Suite. -
Detecting and analyzing prompt abuse in AI tools
Hidden instructions in content can subtly bias AI, and our scenario shows how prompt injection works, highlighting the need for oversight and a structured response playbook. -
New Microsoft Purview innovations for Fabric to safely accelerate your AI transformation
As organizations adopt AI, security and governance remain core primitives for safe AI transformation and acceleration. -
Observability for AI Systems: Strengthening visibility for proactive risk detection
As AI systems grow more autonomous, observability becomes essential. -
New tools and guidance: Announcing Zero Trust for AI
Microsoft introduces Zero Trust for AI, adding a new AI pillar to its workshop, enhanced reference architecture, updated guidance, and a new assessment tool. -
Secure agentic AI end-to-end
In this agentic era, security must be woven into, and around, every layer of the AI estate. -
CTI-REALM: A new benchmark for end-to-end detection rule generation with AI agents
Excerpt: CTI-REALM is Microsoft’s open-source benchmark for evaluating AI agents on real-world detection engineering—turning cyber threat intelligence (CTI) into validated detections.