Secure coding in the age of Copilots

The RoguePilot Risk

‍AI is currently writing up to 60% of enterprise code. While tools like GitHub Copilot and ChatGPT have revolutionized developer productivity, they have also become "insecurity multipliers." Recent studies show that nearly 45% of AI-generated code contains security weaknesses.

Why AI Writes Insecure Code‍

AI doesn't understand security; it understands frequency. If it was trained on millions of repositories containing insecure authentication patterns, it will suggest those same patterns to your developers.

• The Authentication Trap: AI often suggests "boilerplate" login code that lacks proper salt/hashing or rate-limiting.
• The Dependency Nightmare: AI may suggest using deprecated libraries with known CVEs (Common Vulnerabilities and Exposures) simply because those libraries were popular when the model was trained.

Woolves: The AI Auditor

At Woolves, we treat AI-generated code as Unmanaged Third-Party Code. It must be audited with the same rigor as a guest contribution. We help organizations identify the "syntactically perfect but logically catastrophic" code that AI assistants leave behind.

Speed is meaningless if it leads you directly into a breach. Audit your AI, before attackers do.

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