September was a benchmark month, focused on where cyber-capable AI should be strong, where it should fail, and how to measure the difference. Here’s what we shipped. VLoc Bench: Can Agents Find Vulnerable Code at Repository Scale? (blog, Sep 4)..
How does a question-answering architecture stack up against traditional classification on content safety tasks? Jev’s been making the rounds lately, and for good reason — instead of generating prose, it answers named questions directly with a......
Cisco’s RunOn eliminates multi-cloud fragmentation by unifying data with organizational context. Using AI and persona-based views, it turns siloed info into actionable intelligence for cost, security, and lifecycle management.
Discover how Cisco Secure Firewall 200 Series modernizes branch security with AI-powered threat detection, encrypted visibility, SD-WAN, and simpler management.
When we launched the Cisco LLM Security Leaderboard earlier this year, the goal was simple: give organizations clear, tested data on how models hold up against attacks, so they know the risks before they deploy one. That matters because AI models...
Nine months ago, we introduced the Integrated AI Safety and Security Framework as a unified and comprehensive taxonomy to help organizations identify and mitigate the security and safety risks unique to AI systems. Existing frameworks remained.....
Several notable breach retrospectives of the last decade have the same shape. The attacker didn't break down the front door. They compromised something the target had already decided to trust — a package, a build tool, a base image — and walked in..
The Agentic SOC needs two protocols, not one. Learn how MCP and A2A work together as the vertical and horizontal layers of multi-agent security operations
When you look at an AI model’s repository page, you see the name of the model and an associated publisher. In policy and industry conversations, the publisher often gets collapsed into a country label—a “U.S. model” or a “Chinese model”—used as.....
