From Code to Agents: Proactively Securing AI-Native Apps with Cursor and Snyk

The rapid adoption of AI agents in software development has exposed a critical security gap as these agents, powered by large language models, autonomously decide on tools, execute commands, and manage data in real-time, leading to potential vulnerabilities and compliance issues. This has necessitated the introduction of Evo Agent Guard for Cursor, a security solution that embeds safeguards at runtime, offering real-time control over agent actions to prevent vulnerabilities like data leaks and policy violations. Evo operates as a sidecar within the execution path, allowing it to block or modify actions before they complete, unlike traditional post-hoc detection tools. The integration with Cursor Hooks ensures pre-deployment security by scanning the agent's supply chain and establishes runtime controls to mitigate risks associated with autonomous operations. Evo enforces a comprehensive security framework that includes blocking malicious commands and filtering unsafe outputs, thus providing organizations with the visibility and control needed to safely scale AI-driven workflows. This new approach sets a security standard for the AI software development lifecycle by combining proactive trust establishment and real-time enforcement, ensuring that AI agents are both secure at inception and governed during execution.