We’ll explore:
• Where AI and ML already work (e.g., anomaly detection, malware classification, phishing detection)
• Where it fails — and why (e.g., alert triage, contextual reasoning, automation fatigue)
• What red flags to look for in vendor AI tools — and how to ask the right questions
• How to discover which AI tools your employees are using (“Shadow AI”)
• How to build a security policy for AI usage based on model type, API terms of service, and data classification