The Zero Trust Imperative for the Frontier AI Era
Discover how to apply Zero Trust principles to secure AI adoption, manage agentic risk, and mitigate the threats of frontier AI models.
Discover how to apply Zero Trust principles to secure AI adoption, manage agentic risk, and mitigate the threats of frontier AI models.
Discover why 85% of organizations are exploring agentic AI, yet only 5% are in production. Learn how to bridge the agent trust gap with robust security.
Explore how VoidLink, a malware framework, targets Kubernetes and AI workloads. Discover why kernel-level runtime security is the new frontline.
Explore a new frontier in LLM quality and speed. Cisco’s Foundation-Sec model delivers high-performance AI summaries for Splunk Security Operations workflows.
Introduction The pace at which applications for artificial intelligence are evolving continues to impress. Businesses that once considered taking advantage of AI’s sophisticated predictive and natural language capabilities are now evaluating adoption
AI agents use the same networking infrastructure as users and apps. So security solutions like zero trust should evolve to protect agentic AI communications.
We uncovered 1,100+ exposed Ollama LLM servers—20% with open models—revealing critical security gaps and the need for better LLM threat monitoring.
Foundation-sec-8B-Instruct layers instruction fine-tuning on top of our domain-focused base model, giving you a chat-native copilotthat understands security.
Cisco's Foundation AI is partnering with Hugging Face, bringing together the world's leading AI model hub with Cisco's security expertise.