AI agent security audit checklist before launch

Audit the application and the agent together: identity, authentication, authorization, tenant isolation, data access, MCP and API tools, memory, uploaded content, payment flow, secrets, logs, limits, approval, and recovery. A safe prompt cannot compensate for a broken access check or payment path.

Set written scope, test identities, allowed methods, hours, stop conditions, evidence handling, and owner approval before active work. Never point an automated scanner or exploitation attempt at a live platform without explicit authorization.

Treat the result as a dated risk snapshot, not a certificate of absolute security. Fix by business impact, retest the exact behavior, and repeat after material changes to access, tools, memory, payments, models, or infrastructure.

The first review was performed by Ruslan Siniaiev and documented eight vulnerabilities; one was critical because it could affect the business directly. The profile link on this Article goes to Ruslan's LinkedIn.

Every phase produced a PDF report with reproduction steps and evidence. The public lesson is the review method and the decision discipline—not the affected endpoints, exploit chain, credentials, or remediation details.

Using AI to develop a product can accelerate delivery, but plausible code can still hide authorization and logic defects. Independent review, owner confirmation, remediation, and retesting remain human responsibilities.

Prostir lets creators build, monetize, and deploy owned Agents without writing the surrounding SaaS backend. That shortens product work; it does not remove the need to verify the resulting access, tools, data, payment, and business logic.

New Agents are private by default, with OAuth-first access, explicit scoped alternatives, exact product ownership, and bounded tools. Those controls are security claims to test, not reasons to skip testing.

The first external audit made concrete risks visible before broader release. Remediation and independent retesting are the next evidence, and vulnerability details stay private until disclosure is safe and authorized.