AI Agent Red-Teams Its Own Output (Adversarial Review)

AI agents don't check their own work. They plan, they output, they stop — and whatever hallucination or missing requirement slipped through ships straight to production. In this video I show you adversarial prompting: the pattern where a second agent attacks the first one's output before you ever see it. You'll see the full loop running locally on my machine: SOLVER — the agent that builds the thing (a file-upload system in the demo) BREAKER — an adversarial review agent whose only job is to find flaws: missing size validation, unchecked file types, shell output risk SYNTHESIZER — takes the survivor and produces the final, reviewed output Then the part nobody talks about: teaching the agent what "valid" means for YOUR work. For a CTF, that's deterministic — the reporter must retrieve the same flag, paste it on the platform, then you can actually trust the report. For web app pentesting, it's two agents with separate sessions trying to access each other's accounts (we built this as a Burp Suite plugin before). And why the human stays in the loop: the flag proves the work, not the report. I also show what a pentest agent actually needs to validate itself: command execution in a Kali container, the right tooling, screenshots, a vision model + OCR to read them back, and edit/redact capability for credentials. Best part: run the breaker on a DIFFERENT model than the solver. Different biases catch different flaws. I use Claude Code and Codex to validate each other. If you want to actually use AI in cybersecurity — not just hear about it — join the free Skool, AI for Cyber Operations. Link below. That's where I give you the tools and the experiments, and we all learn together. CHAPTERS 00:00 The solver-breaker-synthesizer loop 00:14 Why agents don't validate output 01:02 Devil's advocate / adversarial review 02:07 Making it real for pentesting and CTFs 03:16 What "valid" means: flags, PoCs, proof 04:02 What a pentest agent needs (containers, vision, OCR) 06:48 Cross-model validation (Claude Code vs Codex) 08:21 Join AI for Cyber Operations (free) LINKS Free Skool — AI for Cyber Operations: https://www.skool.com/ai-for-cyber-op...