The Harness Is the Hard Part of Agentic Pentesting
Summary: A contributed article argues that in AI-driven pentesting, the model writes the attacks but the surrounding harness - code that inspects every request, enforces scope, and gates privileged actions - is where the real engineering sits. It cites the Hugging Face intrusion OpenAI disclosed in July as an example of what happens when that harness gives way inside an evaluation built to contain the agents, and notes Google stopped accepting product vulnerability reports to its open-source bug bounty program in October 2026 after a surge in automated submissions, most of which it said were not valid.
Why it matters: OWASP ranks prompt injection the top risk for LLM applications and states no reliable prevention exists today, so a single product review can plant instructions the agent reads - the question is how much damage it can do once fooled. And with approval fatigue degrading reviewer judgement at scale, routing every agent action to a human only moves the failure point downstream.
Read the original at The Hacker News ↗
- Topics
- Governance, Risk & Compliance
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