AI Security Agent: From CVE to Fix

Learn to direct an AI agent through a concrete security mission: researching CVEs, verifying real impact on your code, and evaluating a fix — without ever handing it the keys.

Modules

1. 1Why Hand a Security Mission to an Agent?The context: CVE volume outpaces available human time, and what agentic methods actually change about that.
2. 2Framing the MissionA precise scope, explicit success criteria, and clear prohibitions: the brief you hand the agent before launching it.
3. 3CVE Research: The First PassThe agent scans the dependencies and produces a first list — raw, unsorted, to be read with caution.
4. 4Critical Reading of the First PassPros and cons of the agent's approach: exhaustive and fast, but noisy and still missing prioritization.
5. 5The False Positive TrapA concrete case: the agent flags a critical CVE on a package that's present... but never actually executed.
6. 6Verifying Real Impact, Not Just PresenceThe method to tell a present vulnerable dependency apart from a vulnerable code path that's actually executed.
7. 7Evaluating a Proposed FixUpgrade, patch, or workaround: how to judge whether the proposed fix is the right one, not just the first one offered.
8. 8Guardrails: What a Security Agent Must Never Do AloneSecrets, destructive commands, deployment: the lines the agent doesn't cross without human approval.
9. 9Structuring the Human ReviewWho signs off on what, with which checklist, and where to keep the record.
10. 10Wrap-Up: A Reusable MethodThe full checklist from this course, and why it applies well beyond security.