Most organizations are racing to implement artificial intelligence faster than they can govern it. The result is a widening gap between documented policy and production reality - one that calendarized audits, siloed ownership and compliance-first thinking cannot close. Effective AI governance requires structural fixes: continuous monitoring, named model ownership, embedded enforcement and integrated operational resilience.

In this session, Sekhar Pidathala, CISO at Tradu, will share insights on:

• Why AI failures are intelligence failures, and how continuous model monitoring, artifact signing and governance embedded in deployment pipelines can prevent undetected drift;
• How a five-component integrated framework replaces fragmented, parallel governance efforts;
• Why organizations must treat shadow AI as an innovation reality to be cataloged and governed rather than blocked, and how a rising detection rate signals a healthy, functioning program.