Most enterprise AI governance today relies on static spreadsheets, checkboxes, and perimeter API guardrails—a reality that often amounts to nothing more than "AI governance theater." In this episode of The Digital Analyst, host John Santaferraro breaks down his AI Governance Manifesto, establishing five critical declarations required for organizations to reach true governance maturity.
Joining the conversation is Petar Tsankov, CEO and Co-Founder of LatticeFlow AI. Together, they explore why traditional software security models break down when applied to dynamic AI agents, how to govern model behavior, drift, and intent deep within application layers, and how technical teams can bridge the gap between low-level model metrics and real financial risk calculations for business executives. Petar also shares a real-world case study from Swiss bank Migros Bank and delivers actionable advice for leaders ready to audit their high-risk AI systems from the bottom up.