Bottom line: AI for security must balance speed with accuracy to build trust.
What's happening: Security teams at companies like IBM and Google are using AI for vulnerability triage, penetration testing, and code review, with the goal of improving incident response and threat modeling. AI-powered tools like Anomali and Cyxworks are being used to identify potential security threats, but these tools can produce false positives, wasting engineers' time filtering out false alarms.
What to do: Security leaders should prioritize tools with high CVSS scores and focus on training AI models to learn from their mistakes, rather than relying on human oversight alone. This will help build trust in AI-powered security solutions.