Security Risks of AI-Generated Code
Understand the security risks of AI-generated code, including secrets, insecure auth, unsafe dependencies, injection risks, missing headers, and weak review workflows.
ZeriFlow Journal
Actionable articles on TLS, headers, CSP, privacy, and practical hardening for modern web apps.
Categories
See how AI can reduce vulnerability remediation time with explanations, fix plans, patch previews, confidence scoring, and reviewable GitHub PRs.