Speaker

Join this webinar to:

Understand the critical threat landscape facing enterprise GenAI deployments, from prompt injection to shadow AI
Learn which vendors lead the market across product capability, innovation, and market presence
Discover the essential capabilities every GenAI defense solution should offer, including DLP for AI interactions and real-time monitoring
Get practical guidance on evaluating vendors based on your existing security infrastructure and environment
See how governance, policy enforcement, and technical controls must work together to secure AI at scale

Learn which threats matter, which vendors lead, and how to build a resilient GenAI defense strategy that keeps pace with innovation.

Generative AI is rapidly embedding itself into enterprise workflows, expanding both opportunity and risk. As organizations scale GenAI, they face new attack vectors, prompt injection, data leakage, model manipulation, and shadow AI, that traditional security architectures were never designed to address. Effective defense requires purpose-built controls such as AI-aware DLP, real-time monitoring, and enforceable governance integrated into existing security ecosystems.

Speaker's Contribution:

Jonathan Care, Lead Analyst at KuppingerCole will present key insights from the latest Leadership Compass for Generative AI Defense, examining vendor capabilities, innovation trajectories, and market positioning. He will clarify which threats require immediate focus, how to separate substance from hype, and how organizations can translate analyst intelligence into a resilient, scalable GenAI security strategy aligned with enterprise risk priorities.

Who Should Attend
This webinar is designed for CISOs, security architects, AI governance leaders, and IT decision-makers responsible for securing and scaling enterprise Generative AI initiatives.

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