AI Compliance Library

AI System Pre-Deployment Security Checklist – 20 Controls

Every AI-powered feature needs a security review before it ships. 20 controls across credential security, prompt injection defenses, output validation, agent privilege boundaries, data protection, and monitoring.

Published on

AI System Pre-Deployment Security Checklist

20 controls. 6 sections. Required before any AI-powered feature ships to production.

For Whom: Lead engineers, security reviewers, and engineering managers who need a structured, repeatable security review process before AI features ship.

The Pain: AI systems can pass all functional tests and still have critical security gaps – exposed API keys, no prompt injection defenses, AI agents with excessive permissions, sensitive data sent to external APIs without DPA.

What’s Inside: 20 controls across 6 sections (credential security, prompt injection, output security, agent/tool-use, data protection, logging) with status column, notes column, and deployment sign-off block.

Subscribe to our newsletter

NEWS & More

Insights & Updates from Polygraf.

Blog Posts

Documents shared without redaction are your biggest untracked compliance risk. Polygraf AI created a guide on automatic redaction of PII from PDFs and documents.

AI Compliance Library

Boards are asking for AI risk reports. This 2-page quarterly template: RAG status, key metrics, incidents, vendor risk, regulatory changes, and what you're asking the board to decide.

To learn more about Polygraf, please get in touch.

At Polygraf, we envision a future where AI augments human capabilities without compromising safety, privacy, or ethical standards. Trust in our commitment to building this future with you.

Products

thank you

Your download will start now.

Thank you!

Please provide information below and
we will send you a link to download the white paper.