Thank you to all of the contributors of the State of AI Security 2026, including Amy Chang, Tiffany Saade, Emile Antone, and the broader Cisco AI research team. As artificial intelligence (AI) technology and enterprise AI adoption advance at a rapid
Large language models (LLMs) have become essential tools for organizations, with open weight models providing additional control and flexibility for customizing models to their specific use cases. Last year, OpenAI released its gpt-oss series
OpenAI’s latest enterprise data shows AI moving rapidly from pilots to mission-critical workflows. Learn how this shift is redefining the enterprise network—and what IT leaders must modernize to scale AI with confidence.
AI is moving fast. And with our latest round of Rev Up to Recert: GenAI, your learning can too.
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
