As organizations rush to scale artificial intelligence, they face a silent surge in risks ranging from unauthorized data access to runaway budget consumption. Traditional debugging tools fail to address these challenges, as they were never designed for the rigorous compliance and security standards required by modern governance frameworks like the EU AI Act. AgentDOS integrates directly into existing cloud environments, utilizing high-volume log processing via Apache Kafka or Databricks Zerobus to aggregate telemetry into a single, actionable console.
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Trust3 AI Launches AgentDOS to Monitor Enterprise AI Token Usage
Autonomous agents are rapidly infiltrating corporate workflows, often operating beyond security perimeters and inflating operational costs without oversight. To bridge this visibility gap, San Francisco-based Trust3 AI has launched AgentDOS, a control plane designed to track token consumption and agent behavior across platforms like Microsoft Copilot Studio and Databricks.
CEO Balaji Ganesan notes that enterprises suffer from a visibility crisis rather than a purely technological one. By shifting from reactive manual audits to real-time policy enforcement, the platform allows security teams to identify scope drift and enforce hard token limits before overruns occur. A recent deployment at a healthcare provider demonstrated this efficacy, where the system identified agents improperly accessing protected patient data and flagged a budget exhaustion event that would have otherwise gone unnoticed. By mapping agent actions to identity and data lineage, the tool provides a centralized hub for CISOs to maintain control over automated decision-making processes.
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