Last week, DJ wrote about why OpenClaw – the agent he uses to help run his family’ life needs a governance layer. He pointed to ClawHavoc, 135K exposed instances, and the growing gap between how powerful OpenClaw is and how little anyone was doing...
Today, Cisco launched the LLM Security Leaderboard, a comprehensive resource for evaluating model risk and susceptibility to adversarial attacks. By providing transparent, adversarial evaluation signals, this leaderboard contextualizes model performance metrics against evaluations of how models handle malicious prompts, jailbreak attempts, and other manipulation strategies. The tool empowers organizations with a clear, objective understanding of model risk by mapping threats to our AI Safety and Security Framework taxonomy, and informs defense-in-depth approaches to AI deployments.
As enterprises integrate AI agents into their technology stacks, these agents increasingly rely on external tools and services to navigate complex technology environments. Model Context Protocol (MCP) enables AI models to access external functionalities, tools, resources, and prompts without custom API integrations. At Cisco, we recognize that MCP adoption and utilization brings new and complex […]
