Netzilo Expands AI Governance to Endpoints and SaaS with Drift Control

The update addresses the fragmented nature of modern enterprise AI, where agents operate across developer endpoints, browsers, and various cloud runtimes. By implementing a centralized policy model, security teams can now enforce consistent guardrails, identity verification, and audit trails regardless of whether an agent is homegrown or deployed via SaaS. The platform binds every action to a specific user or team, closing visibility gaps that traditional security tools often miss.

Central to the new release is Drift Control, which mitigates the risk of agents performing legitimate but unauthorized tasks, such as deleting business records or overstepping API permissions. The system uses lightweight System One models for instant, numerical assessments of an agent's behavior. If uncertainty arises, it triggers an LLM judge to provide a detailed explanation for blocking an action. This tiered approach minimizes latency and operational costs while maintaining strict oversight.

Beyond monitoring, the Netzilo AI Gateway provides governed access to models and tools without requiring individual provider keys. It allows administrators to enforce token limits, redact sensitive data, and block unsafe tool calls in real time. The entire architecture is designed for rapid deployment, allowing teams to integrate existing homegrown agents by updating a base URL, ensuring that security measures are applied without requiring extensive code changes.