AI adoption in security: Top use cases and mistakes to avoid

Widespread implementation of artificial intelligence (AI) in security presents a paradox. On one hand, it helps security experts combat advanced threats at scale. On the other hand, AI is also contributing to the scale of sophistication of adversaries' threat campaigns.

To fight fire with fire, organizations are increasingly automating security processes to make up for the uneven playing field on which they find themselves. In this landscape, AI in cybersecurity is necessary to move from reactive defenses to proactive protection. However, AI adoption isn’t without its challenges and considerations.

This article explores how AI is transforming security operations, the top-value use cases it’s delivering, and key mistakes to avoid when bringing AI into your security operations center (SOC).