We sit down with auditor and risk leader Bennie Cleveland to unpack how to make AI defensible in the real world. We cover governance, healthcare and privacy frameworks, modern attack patterns, and the playbooks that separate confident teams from lucky ones.
• defining AI ownership, approvals, data scope, monitoring and explainability
• building an AI inventory and supplier risk register
• mapping to NIST CSF, HIPAA, GDPR, SEC expectations
• deepfakes and social engineering expanding the attack surface
• darknet monitoring and proactive exposure checks
• running tabletops for ransomware, data loss and web compromise
• human in the loop and prompt discipline for high-impact decisions
• common audit gaps in IR, BCDR and communications
• vendor AI due diligence and data transfer controls
• buying fewer tools with clearer purpose and guardrails
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