How are you actually securing AI for your organizations or clients?
We went from "not using AI" to "we have 12 different AI tools" in just 6 months. Zero governance. Zero visibility. One person even had their ChatGPT account hooked up to our shared Slack.
Read this article afterwards and it basically validated every panic attack I had during that audit.
Here's the 5-point checklist I'm now forcing on every team before they spin up another AI tool:
Map the actual threat landscape - CISA breaks AI threats into three buckets: attacks using AI, attacks targeting AI, and plain old design failures. Most people only think about the first one. But prompt injection and training data poisoning? Those are happening now, and your traditional firewall isn't catching them.
Stop improvising and pick a framework - I used to wing it with a "common sense" approach. Don't. NIST's AI RMF (Govern → Map → Measure → Manage) gives you a structured way to evaluate risk instead of making it up as you go. Org respect a methodology, and more importantly, it covers your ass when something goes wrong.
Secure by Design, not by panic - Apply least privilege to AI agents like you would to any user account. If an AI tool gets compromised, how much damage can it do? Limit API access, define security requirements before deployment, and test before production. The number of clients I've seen give an AI tool full admin access "because it was easier" is terrifying.
You need AI-aware detection, not just rules - Rule-based tools can't catch AI-driven attacks. I'm not saying buy any specific product—do your own eval—but you need something that learns normal behavior and flags anomalies. Static rulesets will drown your SOC in false positives while the real threats slip through.
This isn't a "set it and forget it" thing - AI evolves weekly. I now schedule quarterly AI policy reviews with teams and reassess risk every time they add a new model or vendor. Each new tool brings unique security considerations that your existing policy probably doesn't cover.
Org are going to ask you about AI security. Having a real strategy beats throwing buzzwords at them.
What's the worst AI security gap you've found in a client's environment? I'm betting someone here has a story that tops mine.