AI systems are evolving faster than most security programs can track. Models change, tools multiply, and agent behaviors emerge across codebases and containers. That creates a simple but urgent question: what is an AI system composed of and how is it
A year ago, we introduced the world to Cisco AI Defense, the industry’s first truly comprehensive enterprise AI security solution. In the year since, AI technology has evolved at an unbelievable pace, and the AI security landscape has seen seismic
Today, I’m excited to announce that Cisco is donating Project CodeGuard to the Coalition for Secure AI (CoSAI). We collectively recognize that securing AI-generated code is a challenge that belongs to the entire industry, and that open
This blog is jointly written by Amy Chang, Hyrum Anderson, Rajiv Dattani, and Rune Kvist. We are excited to announce Cisco as a technical contributor to AIUC-1. The standard will operationalize Cisco’s Integrated AI Security and Safety Framework
Prepare your network for the scale of AI with proactive modernization. Learn how NetOp AI’s automated network assessment reporting helps IT teams and MSPs identify infrastructure risks, manage LDoS equipment, and ensure seamless performance across
This blog was written in collaboration with Yuqing Gao, Jian Tan, Fan Bu, Ali Dabir, Hamid Amini, Doosan Jung, Yury Sokolov, Lei Jin, and Derek Engi. LLMs can sound very convincing, but in network operations, sounding right isn’t enough. Network
AI is no longer just a technology—it’s a new lever of national power, competitiveness, and strategic advantage. As governments and organizations grapple with the promise and complexity of AI, questions of digital sovereignty, supply chain
When your CISO mentions “AI security” in the next board meeting, what exactly do they mean? Are they talking about protecting your AI systems from attacks? Using AI to catch hackers? Preventing employees from leaking data to an unapproved
This blog was written in collaboration with Fan Bu, Jason Mackay, Borya Sobolev, Dev Khanolkar, Ali Dabir, Puneet Kamal, Li Zhang, and Lei Jin. “Everything is a file”; some are databases Introduction Machine data underpins observability
