INTERFACE Seattle
Presented by Palo Alto Networks
It’s a fact: AI can unintentionally expose sensitive data. From customer engagement to back-office automation, intelligent systems are being deployed at such a rate that it’s not a matter of “if my data is exposed,” but “when.” In recent conversations with practitioners, it’s clear that security has shifted from an afterthought to a board-level priority. Organizations are standing up AI governance boards, drafting usage policies, and in some cases even blocking applications altogether to prevent potential data leakage.
Effective protection against AI data leakage starts with visibility. Organizations need the ability to inspect both the prompts entering an AI system and the responses coming back, so that sensitive information can be detected and stopped in real time before it leaves the enterprise. In this session, we’ll guide you through a blueprint that can help ensure your AI applications are secure, compliant, and trustworthy.