Threat Intel & Teardowns
The autonomous-agent threat landscape — incident teardowns, novel attack classes and mapping to MITRE ATLAS / OWASP Agentic.
The AI Agent Threat Landscape in 2026: Attack Surface, Emerging TTPs, and What Changed This Year
A field guide to the 2026 AI agent threat landscape: the autonomous-agent attack surface, the emerging TTPs that defined this year, and what actually changed.
Read →AI Agent Incident Teardowns: Anatomy of Real Prompt-Injection and Exfiltration Breaches
Three real AI agent incidents torn apart: EchoLeak, Slack AI, and GitHub MCP. The attack chains, the root causes, and the lessons learned for defenders.
Read →Industry-Specific AI Agent Risk: How the Threat Model Shifts for Finance, Healthcare and Legal
Industry AI agent risk is not generic. See how the threat model shifts for finance agent security, healthcare AI agents and legal AI agent deployments.
Read →Mapping AI Agent Attacks to MITRE ATLAS: Tactics, Techniques, and the Detection Signals Each Phase Produces
A practical walkthrough of mapping AI agent attacks to MITRE ATLAS tactics and techniques, plus the concrete detection signals each phase leaves behind for your SOC.
Read →Novel Attack Classes for Autonomous Agents: Consensus Hijacking and Context Boundary Confusion
A field guide to novel agent attacks — multi-agent consensus hijacking and context boundary confusion — plus the emerging AI threats security teams should track now.
Read →The OWASP Top 10 for Agentic Applications (ASI01–ASI10): Attack Vectors and Exploitability of Each Risk
An attacker's-eye analysis of the OWASP Top 10 for Agentic Applications (ASI01–ASI10): how each risk is actually exploited, the attack vector behind it, and what makes an agent vulnerable.
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