Security reviews for agencies shipping client apps
Define authorization, scope, evidence ownership, remediation, retesting, and handoff before an agency calls a client app ready to release.
Security guidance for AI-built apps.
Read LyraShield AI research and practical guidance on securing AI-built apps, interpreting security evidence, verifying findings, and retesting fixes.
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6 categories- Builder workflowsVibe-Coding SecurityPractical security habits for builders shipping apps written largely by AI coding tools.92articles
- Identity & data boundariesAccess ControlAuthentication, authorization, row-level security, and sessions — keeping the wrong people away from the right data.44articles
- Browser attack surfaceWeb SecurityHeaders, CORS, injection, and the rest of the browser-facing attack surface of a modern web app.40articles
- Dependencies & pipelinesSupply ChainDependencies, packages, CI/CD, and third-party services — securing the code you didn't write yourself.17articles
- Autonomy & guardrailsAgent SecurityPermissions, prompt injection, sandboxing, and guardrails for coding agents and agent-native applications.24articles
- Evidence & retestingVerificationChecking that findings are real and fixes actually hold: evidence, retesting, and honest security claims.91articles
More practical guidance
100 articles
Keep AI Agents Away From Production Deletes
Block standing production delete authority with separate identities, permission ceilings, exact approvals, short-lived access, and audit records.
Protect AGENTS.md and Rules Files From Poisoning
Prevent prompt injection in AGENTS.md and coding-tool rules with provenance, code ownership, protected review, scoped rules, and conflict tests.
AI App Pre-Launch Security Checklist
Run an evidence-based pre-launch review across authorization, secrets, inputs, dependencies, deployment, agents, monitoring, recovery, and retests.
Privacy checklist for AI-built apps
Map personal data, purposes, retention, processors, user rights, deletion, and incident handling before an AI-built app reaches real users.
What not to share with AI coding assistants
Do not share live credentials, customer data, regulated records, unreleased business information, or code outside your authorized policy.
Audit AI-Suggested Dependencies for Vulnerabilities
Verify package identity, lock resolved versions, inspect the dependency graph, and interpret advisory matches without treating a clean scan as proof.
Is AI-generated code safe for production?
Not by default. Generated code needs requirements, human review, independent tests, constrained deployment, monitoring, and recovery evidence.
Why AI-Generated Tests Are Not Security Proof
Use AI-generated tests as regression checks, then add independent invariants, negative cases, mutation checks, and scoped retest evidence.
Secure an AI SaaS With Stripe
Secure Stripe billing with server-owned entitlements, raw-body webhook verification, idempotent processing, constrained keys, and failure-path tests.