This webinar presents an educational session on the emerging security challenges posed by AI coding agents and agentic AI systems. Gil Friedman from Backslash Security explains how the evolution from simple IDE coding tools to sophisticated AI agents has created new attack surfaces that security teams must address. The presentation covers the ecosystem of AI components including models, agents, MCPs (Model Context Protocol), skills, and hooks, highlighting how these tools can be exploited through prompt injections, data leakage, and malicious configurations. Friedman demonstrates real-world examples of security risks and introduces Backslash Security's platform as a solution for providing visibility, policy enforcement, and real-time protection across AI coding environments. The session includes practical recommendations for securing AI agents, such as auditing MCP servers, reviewing tool descriptions, pinning versions, and implementing proper access controls. The webinar concludes with a Q&A session addressing enterprise deployment and audit trail capabilities.
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