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Arjun Sambamoorthy

Senior Director, AI Engineering and Research

AI Software and Platform

Arjun Sambamoorthy heads AI Engineering and Research at Cisco, where he leads Cisco AI Defense—a product dedicated to securing the use of AI. As Senior Director of Cisco’s AI Engineering organization, Arjun helps guide the development of next-generation AI systems that support innovation across networking, security, observability, and infrastructure. Before joining Cisco, Arjun co-founded Armorblox (acquired by Cisco), where he pioneered the application of natural language understanding to protect organizations from email-based threats. With a strong technical background and over a decade of experience building large-scale products at the intersection of AI and cybersecurity, Arjun focuses on practical solutions that deliver real value for customers.

Articles

DefenseClaw is Live!

2 min read

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...

Introducing the Cisco LLM Security Leaderboard: Bringing Transparency to AI Security

4 min read

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.  

Securing the AI agent supply chain with Cisco’s open-source MCP Scanner

4 min read

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 […]