The shift from traditional AI assistants to AI agents that actively manage tasks enhances enterprise operations but presents significant security vulnerabilities. Cisco plays a pivotal role in the AI security ecosystem, offering open-source tools and collaborating with organizations like CoSAI and OWASP to develop security frameworks. As enterprises adopt AI at scale, understanding risks and implementing robust security guidelines is crucial. Key initiatives include Project CodeGuard, an open-source framework promoting secure AI coding practices, and the MCP Scanner, which ensures safe integrations with enterprise tools. Effective risk management in agent ecosystems involves strict trust controls for connectivity and interoperability, with a focus on authentication, validation, and auditability. The OWASP Top 10 for agentic applications serves as a critical governance baseline. To thrive in this “internet of agents,” organizations must prioritize transparency and security in their AI systems. Join Cisco’s AI summit on February 3 to explore secure, resilient, and trustworthy AI strategies.
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