A carefully crafted prompt is enough to expose sensitive data, generate harmful content, or push your system out of compliance. As AI products take on greater autonomy, the window between a missed step and a real-world incident is shrinking fast.
Download this checklist to know exactly what to do before you ship, and how to stay ahead once you do.
Overview
In this checklist, we cover:
- The 5 pre-launch domains to address before you ship, from product intent to pre-release validation.
- The 5 post-launch domains to manage once you're live, from runtime observability to continuous improvement.
- Concrete, assignable tasks across product, engineering, security, legal, and trust teams.
What’s New from Alice
Policy Once, Enforced Everywhere: Alice WonderFence Joins Databricks Unity AI Gateway
How Alice WonderFence integrates with Databricks Unity AI Gateway, and how to enforce your own AI guardrails across every model, tool, and agent in production.
AI in Finance: From Money Laundering to Deepfakes
Dr. Janet Bastiman has been making convincing deepfakes since 2017, long before most people knew the word. Now the Chief Data Scientist at Napier AI, she joins Mo to get into why fraud is actually easier to catch than money laundering, how a deepfake already talked a finance team out of millions, and why the human analysts checking AI matter more than ever.
It Takes AI to Break AI: The Case for AI Red Teaming
As AI systems gain autonomy, organizations need security approaches built specifically for AI behavior. Learn why AI-driven red teaming is becoming a critical defense layer.
Evaluation of Instagram Teen Accounts
This report evaluates default and opt-in content protections under real-world and adversarial conditions. The study examines safeguard effectiveness, resilience against attempts to surface inappropriate content, and platform improvements made following testing.
