From Input to Intent and Beyond: Uncovering Behavioral Risks in the Age of AI
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From Input to Intent and Beyond: Uncovering Behavioral Risks in the Age of AI
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AI interactions are introducing behavioral risks that traditional DLP and rule-based systems were never designed to detect. In this executive conversation, Marcus Law is joined by Dan Nadir, Chief Product Officer at Theta Lake, and Irwin Lazar, President and Principal Analyst at Metrigy, to explore how generative and agentic AI are creating entirely new categories of governance risk.
The discussion covers why monitoring isolated prompts and outputs is no longer enough, and why organizations need forensic-level analysis of interaction patterns over time. From behavioral drift and intent detection to the growing complexity of agentic AI, this conversation sets out what enterprises need to be thinking about — and doing — right now.
Topics include: why only 58% of organizations have a proactive AI governance strategy, how traditional DLP systems miss subtle data probing and intent-based risks, what behavioral drift looks like in practice, how agentic AI blurs the line between human and machine accountability, and practical steps CIOs and CISOs can take in the next 60 to 90 days.