Developer AI Coding Security

Your developers love their AI coding tools. Your security posture hasn't caught up yet.

I help teams make AI-assisted development fast without letting it become a liability. That means sandboxed execution, decoy credentials, repository controls, CI/CD hardening, and eval gates — the kind of guardrails that let many agents work in parallel without your security team having a quiet panic.

Best fit

Developer AI Coding Security Consulting

  • Threat model for AI-assisted development workflows
  • Recommendations for sandboxing, access control, and secret handling
  • Canary credential and detection strategy
  • CI/CD and eval-gate checklist tailored to your engineering workflow
Sandboxed

Execution paths for risky automation

Canary

Decoy credentials for fast detection

Hardened

CI/CD and repository guardrails

The pattern I keep seeing.

AI coding tools move faster than most internal security processes were designed for. That gap is the new attack surface.

Repository access, terminal execution, secrets exposure, and automation sprawl create a threat surface inside engineering that most threat models don't cover.

Controls that slow developers down get bypassed. The goal is guardrails that fit the actual workflow.

What actually gets better.

Define safe boundaries for AI coding agents, assistants, and automation in local, CI, and production-adjacent environments.

Reduce the chance of secret leakage, prompt-based repo abuse, poisoned dependencies, and unsafe autonomous actions.

Use canary credentials and monitoring to detect misuse early rather than discovering it after real access is abused.

Harden CI/CD so generated code still passes through principled review, tests, evals, and release controls.

No mystery, no handoff decks.

01

Trace how code actually gets written

We map editor agents, CLI agents, pull request bots, terminals, build systems, and deployment steps so the controls match reality.

02

Reduce blast radius

I focus on isolation, least privilege, secret segmentation, auditability, and tripwires that expose misuse before it escalates.

03

Keep teams shipping

The goal is a secure developer workflow that remains pleasant enough engineers will actually use it.

Ready to stop circling it?

Bring whatever your team keeps putting off — the scary migration, the expensive AI bill, the app that misbehaves in production. We'll figure out what's actually blocking it.

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