Context-Driven Guardrails: The Future of AI Security
Context-Driven Guardrails: The Future of AI Security
How do you protect AI and LLMs without slowing them down? A10 Networks' security experts Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar share why context-driven guardrails are the future of AI security.
The discussion focuses on the critical balance between high accuracy and a low false-positive rate. The experts highlight the challenge of correctly identifying and blocking "unsafe" requests without misclassifying legitimate, "safe" requests, which is crucial for maintaining a seamless workflow while still providing robust protection. They explain that this nuanced approach is key to capturing the "off instances" where a threat actor is operating, without disrupting the everyday operations of your AI system.
Whether you're deploying AI, LLMs, or generative models, this session explores how multi-layered, context-aware security creates resilient defenses while preserving performance.
🔒 Protect your AI and LLMs with more intelligent, more precise guardrails.
Learn more on how to future-proof your organization’s AI infrastructure security: https://bit.ly/4kOHmYd