Deploying AI without losing control of it

Most AI deployment guides stop at "get the model running." They skip what happens next: who can change the system prompt, whether anyone would notice if they did, and what your evidence trail looks like when an auditor asks what changed and when.

System prompt files, model configs, and safety filter rulesets are just files sitting on a server. Left unmonitored, they're as exposed as any other config, and more consequential if tampered with. This session shows how Netwrix Change Tracker brings file integrity monitoring, CIS-aligned hardening, and closed-loop change control to the configuration layer underneath your AI deployment, so you can tell a scheduled update from an unauthorized one and know exactly who changed what.

What you'll learn:

• Where AI deployments skip the change control other critical systems require
• How to baseline system prompts and model configs, and get alerted on drift
• How closed-loop change control filters planned changes from unauthorized ones
• What real-time file monitoring looks like on Windows and Linux
• How to walk into an audit with a continuous record of every change