AI is changing how security teams detect threats, analyze signals, and support decisions.
It is also creating a new category of risk that many organizations still do not fully understand.
When AI is used in security, the issue is not just model performance. It is also resilience, governance, and trust. Adversarial attacks, data poisoning, model inversion, and model drift can all undermine systems that appear effective on the surface.
That is why AI model risk management matters.
Security teams need to think beyond accuracy and start asking harder questions about failure, manipulation, monitoring, and accountability.
I wrote a post breaking down the risks, the controls, and the governance issues surrounding AI model risk management in security.
Read it here:
https://aitransformer.online/ai-model-risk-management-in-security/
Top comments (0)