About the conference
From data leakage and regulatory non-compliance to shadow AI usage and insider threats, the rise of GenAI introduces new challenges that traditional security frameworks struggle to address. In this session, we explore the critical question: Who is watching AI, and how can businesses ensure that their sensitive data remains secure? With Netskope, enterprises can safely adopt GenAI while enforcing compliance, preventing unauthorised data exposure, and mitigating risks.
Thales AI Security Fabric – Safeguarding LLM-Powered Apps, Data, and Identities
▪️ Unlock AI-driven growth securely
▪️ Protect data, applications, and identities end-to-end
▪️ Rely on enterprise-grade, standards-aligned protection
AI Application Security: a security solution designed to protect homegrown applications that use LLMs. Providing real-time protection for AI-specific threats, including prompt injection, jailbreaking, system prompt leakage, model denial-of-service attacks, sensitive information leakage, and content moderation. With flexible and seamless deployment options to fit any architecture, whether cloud-native, on-premises, or hybrid environments.
AI Retrieval-Augmented Generation (RAG) Security: provides the capability to discover and secure sensitive structured and unstructured enterprise data before it is ingested into retrieval-augmented applications with comprehensive data protection solutions, including encryption and key management. Helps secure communication between the LLM and external sources of data.
Join us as we dive into:
📌 The hidden risks of GenAI applications
📌 How Netskope safeguards data and ensures regulatory compliance for Gen AI tools
📌 Real-world examples of GenAI-related data security breaches—and how they could have been prevented
📌 Best practices for governing AI usage