How do I handle AI-introduced security vulnerabilities?

The new class of vulnerability

AI coding assistants introduce vulnerabilities in predictable patterns: outdated dependency versions the training data favoured, hard-coded secrets copied from example code, auth flows that look reasonable but bypass your actual policy. The risk is not malice — it is stale training data and missing context. Treating these as normal bugs misses the opportunity; the right response is a three-step loop of detect, quarantine, and feedback, so the agent genuinely learns to stop introducing them.

Detection inside the Code Sandbox

bRRAIn's Code Sandbox runs every AI-authored diff through a CVE scanner, secret detector, and dependency freshness check before the PR surfaces. Findings are attached to the provenance node, visible to the reviewer and the Security Policy Engine. Detection happens at the sandbox layer, not post-merge — which means vulnerabilities never reach main in the first place. The Security Controller tunes the detector ruleset as new threat classes emerge.

Quarantine as a first-class state

Diffs that fail any security check land in quarantine, not in a review queue. A quarantined PR carries a structured failure report: which rule fired, on which line, with which suggested remediation. The agent can iterate against the report inside the sandbox to produce a clean diff; a human with the right role can override with documented justification; the PR can be closed and the pattern flagged for future avoidance. Quarantine is a terminal-but-recoverable state, visible in dashboards and reviewable by audit.

Feedback that actually changes behaviour

Detection and quarantine without feedback produce the same vulnerability next week. bRRAIn writes the quarantined pattern back into the POPE graph as a negative exemplar — "we reject this shape of code because it introduced CVE-X". The Handler reads these exemplars on every inference, so the agent stops proposing the rejected pattern. Over time the rejection layer becomes one of the densest parts of the graph, and AI-introduced vulnerabilities trend toward zero for patterns the team has already seen.

Relevant bRRAIn products and services

• Code Sandbox — runs CVE scans, secret detectors, and dependency checks on every diff before it surfaces.
• Security Policy Engine — enforces quarantine and merge gates so vulnerabilities never reach main.
• Handler — reads negative exemplars so the agent stops re-proposing rejected patterns.
• POPE Graph RAG / Rejection Layer — stores the vulnerability patterns the agent must avoid.
• Security Controller certification — human role that tunes the detector ruleset and reviews quarantine.
• Book a demo — watch a vulnerable diff detected, quarantined, and fed back into the rejection layer.