AI hallucinations pose tangible cybersecurity risks

Colleagues, a heads‑up: in cybersecurity, AI hallucinations are becoming a source of material errors.

What happened: the AA‑Omniscience assessment (2025) found many models produce confident but incorrect answers.
Risks: missed attacks, false positives and flawed recommendations that can cause downtime and data breaches.
What to do: require human review before critical actions; apply least‑privilege to AI; audit training data and train teams in prompt engineering.

Why it matters: the threat is not only models but access and trust — access controls and verification reduce incident likelihood.

How do you validate AI solutions in your environment?

#cybersecurity #AI #IdentitySecurity #GRC