Edison.Watch has launched the Deterministic Agentic AI Security Framework to address new security challenges posed by autonomous AI agents within enterprises. As organizations increasingly rely on AI for data access and communication, traditional access controls fail, necessitating an innovative approach—Agentic Role-Based Access Controls (Agentic RBAC). This framework allows businesses to monitor AI-generated workflows proactively, ensuring that sensitive data remains protected even when AI systems possess legitimate access. Key features include data intake tracking, outbound data enforcement, and real-time monitoring, which collectively provide visibility into AI activities and prevent unauthorized data transmission. Despite concerns about data governance, Edison.Watch positions its framework as essential for enterprises looking to harness AI’s efficiency while maintaining compliance and security oversight. The Agentic AI Security Framework is available through OpenEdison, offering deployment options that integrate seamlessly with existing systems. For further details, enterprises can access technical demonstrations via Edison.Watch.
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