In this episode, I sit down with Petar Tsankov, AI safety researcher, engineer, and one of the leading voices on enterprise AI governance and compliance. We unpack why traditional, checkbox-driven AI compliance is breaking down, and why governance can no longer live in policies, audits, or PDFs. As AI systems scale faster than regulation, enterprises are being forced to rethink compliance as an engineering problem, not a legal one. This episode goes deep into how AI governance must shift from documentation to execution. We explore: ✔️ Why annual AI audits fail the moment models change ✔️ The biggest blind spot in enterprise AI governance and why most teams don’t see it ✔️ Why compliance must become continuous, automated, and embedded in pipelines ✔️ How abstract principles like fairness, transparency, and security break down at the technical leve ...