The CISO’s Guide: When AI Helps vs. Hurts Security

Dubai-based Secure.com has published a concise analysis of both sides of the coin in  “The CISO’s Guide: When AI Helps vs. Hurts Security.”

With research revealing that 76% of CISOs reporting that they expect a material cyberattack in the next 12 months, most report that their organizations are already using AI in some form.

The Guide examines key issues including:

  • Where AI Actually Delivers for the SOC:  AI doesn’t think, it predicts, and every model’s no better than the data it was trained on.
  •  Where and How AI Can Quietly Hurt The Organization
  • The Four Questions to Ask Before Deploying Any AI Security Tool: Every AI system makes mistakes. The question is whether mistakes are recoverable.
  • Building a Security Program Where AI and Humans Work Together: Gall’s Law applies.
  • Shadow AI Prevention Measures: Shadow AI is a growing internal risk that can expose sensitive data without the user realizing it.
  • Metrics to measure deployment success.

The question is no longer “should we use it?” It’s “are we using it in the right places?” The CISO’s Guide delivers a clear, honest answer to that question, and full content is below.

You can read the analysis here: The CISO’s Guide: When AI Helps vs. Hurts Security

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