When AI Leaks: Containing and Preventing Sensitive Data Leaks
AI is a powerful driver of innovation, but it can introduce an invisible risk: unintentional data leaks. These leaks are often self-inflicted when employees, customers or partners unintentionally expose sensitive data through AI tools. Systems can remember, replicate and resurface confidential information in unexpected ways, leaving organizations vulnerable without a clear forensic trail. The ultimate risk isn’t just fines or a breach notification, but a profound loss of trust from customers, regulators and boards.
In this webinar, we’ll shift the conversation from a technical problem to a trust-driven business imperative. You’ll learn:
- Why traditional security models fail.
- The most common ways sensitive data slips into and out of AI systems.
- How to build a proactive AI governance strategy with real-time visibility and automated guardrails.
- How to accelerate AI adoption safely.
Join us to move beyond reactive security and create a responsible AI framework that lets you innovate confidently.
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