AI offers immense opportunity for business growth, but it also introduces new layers of risk that leaders cannot ignore. Traditional cybersecurity practices alone aren’t enough—AI brings unique challenges around data exposure, compliance, and governance that require fresh thinking and stronger guardrails.
In this session, we’ll explore what it takes to secure AI solutions at the leadership level:
> How uncontrolled AI adoption creates data exposure risks, and the prerequisites for securing sensitive data in the AI layer.
> Why integration with identity, access, and token management is critical for trust and control.
> What AI-centric risk controls look like, and how to embed them directly into AI systems.
> How the AI technology stack differs from traditional APIs and applications, and what new attack surfaces leaders must account for.
Attendees will walk away with a practical framework for balancing innovation with security, enabling them to confidently embrace AI opportunities while protecting the enterprise from emerging risks.