Caitlin Like is the Global Head of Customer Success and Account Management at Behavox, leading global client strategy and long-term partnership growth across the firm’s AI-native surveillance platform.
Previously, she was a Vice President in Markets Risk & Control at Barclays, where she led Market Access Rule governance and managed risk mitigation technology for electronic trading.
Caitlin began her career in Compliance and earned a BA from Boston College.
All Sessions by Caitlin Like
12:05
-
12:40
Beyond detection: the integrated controls architecture that makes AI surveillance defensible by design.
From policy management to enforceable controls - operationalising AI-native surveillance to close the defensibility gap and build examination-ready non-financial risk controls at scale
- Why controls fragmentation — not technology gaps — is the root cause of defensibility failure: when communications, trade records, policies, and cases sit in separate systems, the evidence chain breaks precisely when it matters most.
- What defensibility-grade integration requires in practice: mapping regulatory obligations to policies, policies to controls, controls to cases — and producing reproducible, end-to-end auditable evidence without manual reconstruction.
- How purpose-built AI transforms alert quality and investigation speed: from lexicon-based systems achieving 2% recall to AI Risk Policies achieving 95%+, and what this means for examination readiness in 2026 and beyond
- The operating model shift from detective-only to directive, preventive, and detective controls — and the role of policy management in turning regulatory obligations into machine-readable, enforceable controls at scale
