AI or OT: The Cybersecurity Tango Where Risks Take Center Stage!
AI and OT environments are like peanut butter and jelly—with an added risk of allergic reaction. Recent guidance from global agencies warns that integrating AI into operational technology can lead to process drift and safety bypasses. While AI can boost efficiency, it’s like adding a jetpack to a bicycle—proceed with caution!

Hot Take:
AI and OT are like peanut butter and jelly—great when they work together, but potentially explosive if they go rogue. Thankfully, the world’s cybersecurity superheroes have united to save the day with a 25-page guide to keep AI from turning our critical infrastructure into an episode of “Black Mirror.” Brace yourselves for a thrilling ride through the land of AI governance, safety protocols, and the eternal quest to stop AI from hallucinating its way into disaster!
Key Points:
- A coalition of global cybersecurity agencies published guidance to secure AI in operational technology (OT).
- The guidance targets understanding AI in OT, establishing governance, and embedding safety measures.
- AI in OT environments poses risks like model drift and safety-process bypasses.
- The guidance emphasizes cautious deployment and oversight in AI-OT integrations.
- AI’s potential in OT is promising, but requires careful management to avoid critical disruptions.
