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    Security Audit

    AI-Generated Code Has Serious Security Gaps. We Find Them.

    AI code generators optimise for working demos, not secure production. Prompt injection, hardcoded secrets, missing auth checks, and data exposure are endemic in vibe-coded apps. We audit and remediate all of it.

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    AI code generation skips security. A professional audit finds what it missed.

    What We Do

    Prompt Injection Testing

    We test your AI-facing endpoints against prompt injection, jailbreaking, and system prompt extraction attacks specific to LLM applications.

    API Key & Secrets Audit

    Hardcoded API keys, client-side exposed secrets, and misconfigured environment variable access are the most common and dangerous AI app vulnerabilities.

    Authentication & Authorisation

    We audit auth flows for broken access control, insecure session management, missing RBAC enforcement, and privilege escalation paths.

    Data Leakage Assessment

    AI apps frequently expose data across user boundaries. We map data flows and identify leakage points in your API responses, logs, and LLM prompts.

    API & Network Security

    CORS misconfigurations, rate limiting gaps, missing input validation, and SSRF vulnerabilities in backend API routes are systematically assessed.

    Detailed Remediation Report

    Every finding is documented with severity rating (Critical/High/Medium/Low), reproduction steps, and specific remediation guidance your team can act on.

    Frequently Asked Questions

    What is prompt injection and why is it dangerous for AI apps?
    Prompt injection is when a user crafts input that overrides or manipulates your LLM system prompt — potentially leaking your system instructions, bypassing safety controls, or making the AI perform unintended actions on behalf of the attacker.
    How is this different from a standard web app security audit?
    Standard audits cover OWASP Top 10. AI apps have additional attack surfaces: LLM prompt manipulation, training data extraction, model-specific vulnerabilities, and AI output injection. We cover both the standard web layer and the AI-specific layer.
    What do you deliver at the end of the audit?
    A detailed PDF report with an executive summary, a full list of findings sorted by severity, reproduction steps for each vulnerability, and prioritised remediation guidance. We also offer a fix-and-retest engagement.
    How long does a security audit take?
    A focused audit for a mid-size AI application takes 1–2 weeks. Enterprise-scale audits with multiple services and complex auth systems take 3–4 weeks.

    Book a free technical call

    Describe your project and we will tell you exactly what needs fixing, how long it takes, and what it costs — no commitment required.

    Talk to our team

    Engineers, not generalists.

    Every engagement is handled by senior engineers who have shipped production software at scale — not consultants who advise.

    50+
    Projects shipped
    6+
    Years experience
    4.9
    Client rating
    2 wks
    Avg audit time

    Ready to fix your security audit issues?

    Tell us where things are breaking and we will tell you exactly how to fix them — no sales pitch, just a direct technical conversation.

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