Old AI Security vs Evo: Watch Agentic Security Replace Weeks of Manual Work

Innovation in AI, particularly in intelligence-driven applications like chatbots and autonomous agents, is advancing rapidly, presenting complex security risks that traditional cybersecurity methods cannot address. As AI-native applications are swiftly deployed across various industries, existing security approaches, which rely on methods such as manual reviews, static threat models, and infrequent red teaming, are proving inadequate in managing the non-deterministic nature of AI systems. Evo by Snyk offers a novel solution through agentic security orchestration, integrating intelligent security agents that autonomously identify and respond to AI-specific risks, transforming AI security into a proactive and continuous process. This approach includes tools such as the AI Bill of Materials (AI-BOM) and MCP Scan CLI, which provide comprehensive visibility and facilitate the identification of potential risks early in the development lifecycle. By enabling continuous and dynamic red teaming, Evo allows security teams to keep pace with AI development and maintain a secure environment without hindering innovation, marking a shift from traditional methods to an adaptive security strategy specifically designed for AI-native applications.

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