Security Foundations for Agentic AI

In 2025, 78% of companies have adopted AI or LLM technologies, yet only 5% feel confident in securing them. 

As organizations embed AI and LLMs into customer support, analytics, employee copilots, and knowledge systems, these interfaces now sit inside core workflows and access sensitive data. 

This shift exposes a new attack surface that traditional WAFs and API gateways do not fully address. Exposure of sensitive data from knowledge bases, prompt injection, retrieval abuse, and automated probing of AI interfaces by bots are now top concerns for security and compliance teams. 

In this webinar, Vivek Gopalan - VP Products and Phani Deepak Akella - VP Marketing will discuss the key security risks in AI and LLM applications and practical approaches to protect prompts, data sources, and AI driven workflows from misuse. 

Key takeaways from the webinar: 

• AI native workflows and their attack surface 

• Common misuse patterns, including prompt injection and data exposure 

• Understanding centralized controls and guardrails across AI endpoints 

• Reducing automated bot abuse targeting LLM applications