Your AI wrote the code.
Who reviewed it?
Cursor, Copilot, Bolt, v0, Lovable, Replit Agent — AI tools let you ship in days instead of months. But speed without review is how vulnerabilities reach production. We audit AI-generated applications for the security gaps that AI assistants consistently miss.
In 2025, researchers found that 36% of AI-generated code suggestions contained security vulnerabilities. The code shipped anyway — because there was no one reviewing it.
What AI assistants
consistently miss
AI writes functional code. Functional isn't the same as secure. These are the vulnerability categories we find in every vibe-coded application we audit.
Phantom Dependencies
AI hallucinates package names that don't exist — or that attackers have registered. We audit every dependency against known typosquatting and confusion attacks.
Hardcoded Secrets
API keys, database credentials, JWT secrets — AI generates example values that end up in production. We scan for exposed secrets across your entire codebase.
Missing Input Validation
AI-generated forms, APIs, and endpoints often accept any input without sanitization. SQL injection, XSS, path traversal — the OWASP Top 10 thrives in unreviewed code.
Broken Authentication
AI builds login flows that look right but aren't. Missing CSRF protection, weak session handling, insecure password storage, broken access controls.
Outdated Patterns
AI training data includes years of deprecated APIs, insecure defaults, and vulnerable library versions. We identify code patterns that were secure in 2021 but aren't in 2026.
Architecture Blindness
AI writes each function in isolation. It doesn't understand your system architecture, data flow, or trust boundaries. We map the full attack surface that AI can't see.
If any of these sound familiar
“We built our MVP with Cursor/Bolt/v0 and it's going to production”
“Our developers use Copilot daily but we don't have a security review process”
“A freelancer or agency built our app using AI tools”
“We've been shipping AI-generated code for months without a security check”
Choose your depth
Every tier delivers actionable findings with severity ratings, proof-of-concept exploits where applicable, and step-by-step remediation guidance.
- Automated vulnerability scanning
- Dependency audit (hallucinated + vulnerable)
- Secret detection across codebase
- OWASP Top 10 surface check
- Priority risk report with fix guidance
- Everything in Pre-Launch Review
- Manual code review by security engineer
- Authentication & authorization testing
- Business logic security analysis
- API endpoint security assessment
- Architecture threat model
- Monthly automated scans
- PR-level review on critical changes
- Quarterly manual deep-dive
- Dependency monitoring & alerting
- Dedicated security contact
- Priority incident support
All reviews are scoped to your application. Prices are starting points — final pricing reflects codebase size, technology stack, and complexity.
Review details
Pre-Launch Review
Fast automated and semi-automated security review designed for AI-generated applications heading to production. We scan your codebase for the vulnerabilities that AI tools introduce most frequently — hallucinated dependencies, exposed secrets, missing validation, and known-vulnerable patterns.
- Full dependency audit (npm, pip, go modules, etc.)
- Typosquatting & hallucinated package detection
- Secret scanning (API keys, tokens, credentials)
- OWASP Top 10 automated checks
- Known-vulnerable library version detection
- Priority-ranked risk report
- Remediation guidance per finding
- 30-day verification retest
AI Code Audit
Comprehensive manual security review by a human security engineer. We go beyond automated scanning to test business logic, authentication flows, API security, and the architectural decisions that AI makes in isolation. Every finding includes severity rating, proof-of-concept, and remediation steps.
- Everything in Pre-Launch Review
- Manual code review (authentication, authorization, data handling)
- Business logic vulnerability testing
- API endpoint security assessment
- Architecture threat model
- Cross-component trust boundary analysis
- PoC exploits for critical findings
- Remediation workshop (2 hours)
Continuous AI Code Review
For teams that ship frequently with AI assistance. We integrate into your development workflow with monthly automated scans, PR-level security review on critical changes, and quarterly deep-dives. Your dedicated security contact knows your codebase and your threat model.
- Monthly automated vulnerability scans
- PR-level security review on critical code paths
- Quarterly manual deep-dive audit
- Continuous dependency monitoring
- Hallucinated package alerting
- Dedicated named security contact
- Priority incident response
- Quarterly security posture report
How it works
A structured review process that respects your shipping speed.
Submit Your Repo
Share access to your codebase. GitHub, GitLab, Bitbucket, or zip.
Scope & NDA
Define what's in scope, sign NDA, agree on timeline.
Automated Scan
Our tools flag known vulnerability patterns, dependency issues, and secrets.
Manual Review
Security engineer reviews AI-generated code for logic flaws, auth gaps, architecture risks.
Report & Fix
Full report with severity ratings, PoC exploits, and step-by-step remediation.
Explore our other specializations
Security Services
Full security assessments, penetration testing, and continuous protection plans. From free assessment to annual fortress — every engagement delivers working exploits and quantified business impact.
AI Security Research
Dedicated assessments for AI agents, MCP servers, and LLM deployments. Prompt injection, tool poisoning, data exfiltration — tested with working exploits.
Ship fast. Ship safe.
Your AI-generated code is one review away from production-ready. No judgment — just results.
Request Code Review →