Security Testing in CI/CD Pipelines for AI Agent Releases
Securing AI agents in CI/CD requires enforcement at tool execution, not code scans.
Senior Threat Analyst
Priya Subramaniam spent eight years at a boutique red-team consultancy before moving to independent security journalism, where she now focuses on adversarial tradecraft targeting autonomous systems and AI-driven pipelines. Her field reporting draws on hands-on penetration testing experience across financial and critical-infrastructure clients.
6 stories
Securing AI agents in CI/CD requires enforcement at tool execution, not code scans.
Models are just one-third of your AI attack surface, and attackers know it.
Measure feeds on timeliness, accuracy, uniqueness, and relevance instead of vendor claims.
Teams shipping AI agents still rely on opinion instead of reproducible proof of security.
Real agents with real credentials demand controls that survive when the model's goals get hijacked.
Gradual tool chains let agents slip into high-privilege territory undetected.