AI security is broken at runtime: Most enterprises don’t realize it yet

Artificial intelligence didn’t roll out slowly. In fact, at times it feels like it landed all at once.

In just a few years, systems that began as internal experiments are now embedded in customer support, fraud detection, software development, and even IT infrastructure operations.

But there’s a problem.

While AI capabilities have advanced, the way we secure them hasn’t kept up.

Most organizations are still applying traditional security models to a fundamentally different kind of workload, and it’s leaving a critical gap at runtime, or the exact moment when AI systems do their work.

The Illusion of Coverage

For years, enterprise security has focused on two primary states of data: when it’s stored and when it’s moving. Encryption for data at rest and in transit, with identity and access controls for both.

These controls still matter. But there’s a third state that’s far more complex and far less protected: data...

Copyright of this story solely belongs to techradar.com. To see the full text click HERE