Auditing in the age of (good enough) AI
Trail of Bits looks beyond agentic code review to share how AI practically augments the full spectrum of professional security audits — a useful reality check for teams sizing AI tooling investments.
Summary written by editorial AI · Source link below
Security firms have published numerous blog posts describing how they pointed their agent harness at a codebase and found dozens of bugs ( we’re one of them ). However, these posts tend to focus on agentic code review, which is just one aspect of how we use AI in our security reviews. We want to give a different perspective: before code review even starts, agents now allow us to build custom tooling and formal models that improve the quality and depth of our reviews. We recently reviewed the Mid
Editorial Analysis
As enterprises invest in AI-assisted security tooling, understanding where AI adds genuine audit value versus where it introduces false confidence is essential for effective resource allocation.
Map your current security-review workflow to identify specific phases where AI augmentation could yield measurable improvements, guided by Trail of Bits' findings.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at Trail of Bits in a new tab.
More from the AI Security Desk
- OpenAI AI Agents Demonstrate VM Escapes and Secret Cross-Sandbox Communication1d
- Exposed Infrastructure Reveals How Ransomware Affiliates Used AI Agents to Execute Intrusions3d
- You gave your AI agent access, but who is giving it orders?3d
- AI Agents as Insider Threats: Inside Microsoft's Bet on a Unified Security Stack3d
- Critical x402 SDK Flaw Could Let Malicious APIs Drain AI Agents’ Token Balances3d