AI Is Making the Decisions—Where’s the Control Layer?
About This Session
Last year’s conversations revealed a growing consensus: AI is no longer a tool—it’s a decision-maker. But while AI has moved upstream into business-critical workflows, our governance models remain stuck downstream—focused on models, not decisions. The result is a widening control gap that compliance frameworks, monitoring tools, and audit logs are no longer equipped to close.
This talk introduces the case for a true control layer for AI—a missing piece of enterprise architecture designed to enforce alignment, trace decision logic, and prevent high-impact failures before they happen.
Key insights include:
Why treating AI like software or data infrastructure misses the mark—and opens the door to systemic failure.
Where enterprise AI governance is failing today: misattributed influence, missing audit trails, and post-hoc compliance.
What’s required to govern decisions, not just models—across predictive, generative, and agentic AI systems.
How forward-leaning CISOs and CAIOs are redefining AI risk as a systems problem, not a tooling gap.
This session is designed for senior security, compliance, and AI leaders navigating the next wave of enterprise risk. It delivers a new mental model for governing AI systems—not just to satisfy regulators, but to protect the business.
This talk introduces the case for a true control layer for AI—a missing piece of enterprise architecture designed to enforce alignment, trace decision logic, and prevent high-impact failures before they happen.
Key insights include:
Why treating AI like software or data infrastructure misses the mark—and opens the door to systemic failure.
Where enterprise AI governance is failing today: misattributed influence, missing audit trails, and post-hoc compliance.
What’s required to govern decisions, not just models—across predictive, generative, and agentic AI systems.
How forward-leaning CISOs and CAIOs are redefining AI risk as a systems problem, not a tooling gap.
This session is designed for senior security, compliance, and AI leaders navigating the next wave of enterprise risk. It delivers a new mental model for governing AI systems—not just to satisfy regulators, but to protect the business.
Speaker
Alison Cossette
CEO/Founder - ClariTrace
Alison Cossette is the founder of ClariTrace, a category-defining platform focused on AI Systems Intelligence. A recognized expert in AI governance and risk architecture, she previously worked in AI strategy at Neo4j and has spoken globally on AI security, data lineage, and algorithmic accountability. Alison introduced the concept of "Pattern Rights" at last year’s AI Risk Summit, catalyzing a new conversation about enterprise control in the age of autonomous systems. Her work sits at the intersection of technical rigor, regulatory foresight, and systemic thinking.