Too Much AI, Not Enough Control:
How to Fix Your Governance Gap
AI governance has officially moved out of the “future problem” category.
In 2026, customers, auditors, and regulators are asking harder questions about how AI systems are built, monitored, and controlled and vague responsible AI statements are no longer enough to clear security reviews or close enterprise deals.
Watch Sammy Chowdhury from Prescient Security and Walter Haydock from StackAware for a practical conversation on what AI trust actually looks like today and what startups need to put in place before governance becomes a blocker to growth.
This session breaks down the frameworks shaping the current landscape including ISO 42001, NIST AI RMF, the EU AI Act, and emerging guidance from Cybersecurity and Infrastructure Security Agency. More importantly, it focuses on what actually matters in practice for startups building and shipping AI products right now.
The session will also cover the growing governance gap around vibe coding and agentic AI systems, including the risks around autonomous actions, prompt-to-code workflows, auditability, and ownership of AI-generated outputs. Expect real-world audit insights, practical guardrails teams can implement today, and honest predictions on where AI governance enforcement is heading next.
In 2026, customers, auditors, and regulators are asking harder questions about how AI systems are built, monitored, and controlled and vague responsible AI statements are no longer enough to clear security reviews or close enterprise deals.
Watch Sammy Chowdhury from Prescient Security and Walter Haydock from StackAware for a practical conversation on what AI trust actually looks like today and what startups need to put in place before governance becomes a blocker to growth.
This session breaks down the frameworks shaping the current landscape including ISO 42001, NIST AI RMF, the EU AI Act, and emerging guidance from Cybersecurity and Infrastructure Security Agency. More importantly, it focuses on what actually matters in practice for startups building and shipping AI products right now.
The session will also cover the growing governance gap around vibe coding and agentic AI systems, including the risks around autonomous actions, prompt-to-code workflows, auditability, and ownership of AI-generated outputs. Expect real-world audit insights, practical guardrails teams can implement today, and honest predictions on where AI governance enforcement is heading next.
You’ll learn:
Which AI governance frameworks companies should actually care about
What auditors are currently flagging during ISO 42001 reviews
Why agentic AI introduces new governance and accountability risks
How to build governance controls engineers will actually adopt
What customers and enterprise buyers will expect from AI vendors in 2026