Authors: Arijit Bandyopadhyay, Bo Li, Dawn Song, Sanmi Koyejo
AI is evolving from standalone models into autonomous agents that reason, retrieve information, and take action across enterprise systems. These agentic systems unlock powerful productivity gains, but they also introduce a fundamentally new attack surface that traditional security was never designed to protect.
This white paper, Rethinking AI Security for the Agentic Era, presents a joint perspective from Intel and Virtue AI on why legacy security controls fail for agentic AI, and what must change to secure agents in production.
Inside, we explore:
- How agentic architectures expand risk across models, memory, tools, and environments
- Why static rules and filters are blind to intent-driven agent attacks
- What AI-native, real-time security looks like for autonomous systems
- How to achieve security, compliance, and performance—without tradeoffs
If your organization is moving agents from prototype to production, this paper outlines the security foundation required to scale agentic AI safely and responsibly.
