1 Week Sprint
AI Security Sprint
Find exploits with AI before the attackers do.
A 1-week security audit run by frontier AI. Branded report, configured AI tooling, and prioritized rollout plan.
Final price scoped on a 30-minute fit call. Larger or more complex projects priced accordingly.
Most teams are doing neither of the two things that matter right now: configuring AI coding tools correctly for their codebase, or scanning their code the way attackers now can. Bad actors already have access to these same frontier models. I find the exploits first. This engagement closes both gaps in a single week.
I run a structured one-week audit using two frontier models (Claude Opus 4.7 and OpenAI Codex / GPT-5) against the OWASP Top 10, OWASP LLM Top 10, secrets, dependencies, infrastructure, and business logic. You get a branded report your team can hand to clients, auditors, or the board. You also get Claude Code and Codex configured for your repo, so your team can keep finding and fixing issues after I leave.
How it breaks down
What happens
26-question scoping + tooling configured
Project context, tech stack, AI features, compliance posture, top concerns. Codebase running locally. Claude Code and Codex configured for your repo. Custom CLAUDE.md and AGENTS.md tuned to your conventions.
Automated scans + frontier-model manual review
Semgrep, gitleaks, Trivy, OSV-Scanner, npm/pip audit, plus manual review against OWASP Top 10, OWASP LLM Top 10, secrets, dependencies, infrastructure, and business logic.
Dual-model cross-verification
Every CRITICAL/HIGH finding reviewed by Codex (GPT-5) as adversarial peer review. Drops false positives, validates severity, surfaces alternative remediation. This is the step that makes the report defensible.
Branded report + rollout plan + first-round PRs
Branded report (audit register, domain scorecards, finding cards). Prioritized rollout plan: immediate, short-term, pre-launch, ongoing. First-round fixes opened as PRs. Handoff call with your team to walk through findings and AI tooling setup.
Deliverables
What you walk away with
Audit register
Inspection-style checklist of every control reviewed during the engagement. Each control classified PASS, ISSUES, or FAIL. Scope and findings together in one view, so a buyer or auditor can see exactly what was checked and how it scored.
Domain scorecards
How each domain performed at a glance: Auth, Authorization, Crypto, API Security, Mobile, Infrastructure, AI/LLM. Skim-readable for executives in 10 seconds. The chart your CTO drops into a board update.
Finding cards
Per-issue detail: severity, OWASP/CWE references, code location, "Why this matters" in plain English, evidence, impact, and concrete remediation. Cross-verified by both frontier models so severity calls hold up.
Prioritized rollout plan
Immediate, short-term, pre-launch, and ongoing remediation buckets, with effort estimates and dependencies. Your team knows exactly what to ship next and what can wait.
Also included
- First-round fixes opened as PRs you can review and merge
- Claude Code and Codex configured for your repo
- Custom CLAUDE.md and AGENTS.md so your team can keep using the tools
- Team handoff documentation for ongoing AI-assisted security work
- 30-minute walkthrough call to review findings and next steps
Who it's for
This sprint is built for
Regulated codebases (HIPAA, SOC 2, PCI) that need a security baseline before adopting AI workflows
Teams rolling out Claude Code or Codex who want it configured properly from day one
Older applications that have never been reviewed by frontier AI
Founders preparing for a security questionnaire from an enterprise prospect
Why this is fast
Agentic AI is the leverage
Two frontier models cross-verify every CRITICAL/HIGH finding in parallel. What used to take a 3-person review team weeks now takes one engineer plus agents in 5 days.
What I do vs. what agents do: I make every severity call, write the executive summary, and decide what gets patched in-sprint vs. handed to your team. Agents do the parallel scanning, dependency analysis, and first-pass remediation drafts.
AI stack used in this sprint
To get started quickly
What I need from you
- Quick demo or walkthrough of the application
- Access to the source code repository
- Any existing code documentation or wikis
- Staging or testing environment (if available)
- Sample or backup data to test against
- Brief assist getting the project running locally
- 30-minute kickoff call to align on priorities
After the sprint
Two paths from here
Hand it off
Your team gets the full report, configured AI tooling, and a prioritized backlog. They run with it independently. No retainer, no obligation.
Keep me on
I stay on monthly to keep hardening, scanning, and remediating as the codebase evolves. Same agentic AI workflow, applied continuously. Cancel anytime.
Pairs well with
What teams do next
Ready to scope this sprint?
Tell me what you are working on. I will confirm fit on a 30-minute call and get you a written scope within 48 hours.
Get in Touch