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This research report explores the layers of agent intent and how to align them for secure enterprise AI adoption. -
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. -
Secure agentic AI end-to-end
In this agentic era, security must be woven into, and around, every layer of the AI estate. -
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. -
Observability for AI Systems: Strengthening visibility for proactive risk detection
As AI systems grow more autonomous, observability becomes essential. -
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. -
Help on the line: How a Microsoft Teams support call led to compromise
A DART investigation into a Microsoft Teams voice phishing attack shows how deception and trusted tools can enable identity-led intrusions and how to stop them. -
From transparency to action: What the latest Microsoft email security benchmark reveals
The latest Microsoft benchmarking data reveals how Microsoft Defender mitigates modern email threats compared to SEG and ICES vendors. -
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.