Detection Engineering

2 articles

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Map

The Future of AI Security Engineering: From AppSec to AgentSec to Autonomous SOCs

The future of AI Security Engineering is a platform discipline that extends AppSec into LLM applications, creates AgentSec for autonomous workflows, builds AI-native telemetry for detection and incident response, and turns governance into continuous evidence rather than annual paperwork.

9 min read

Defend

Security Monitoring for AI Agents: How to Detect Dangerous Tool Use Before Damage Happens

Security monitoring for AI agents requires tool-call telemetry, action-sequence detection, approval-state tracking, memory monitoring, credential visibility, anomaly detection, and kill-switch response paths. Dangerous tool use should be detected before it becomes data leakage, unauthorized change, financial impact, or customer-facing error.

10 min read