AI Control Plane
Centralize oversight of AI apps, agents, and developer tools with runtime policy enforcement, audit logging, usage visibility, and deployment options that fit enterprise security and infrastructure requirements.
Gain visibility into unsanctioned AI use, enforce policies in real time, and reduce compliance risk before shadow AI spreads across teams. Trussed AI helps enterprises detect hidden AI activity, govern agents and apps at runtime, and create audit-ready oversight without slowing innovation or disrupting existing workflows.
Comprehensive solutions to discover, control, and govern enterprise AI usage across apps, agents, and workflows.
Centralize oversight of AI apps, agents, and developer tools with runtime policy enforcement, audit logging, usage visibility, and deployment options that fit enterprise security and infrastructure requirements.
Design a practical governance strategy, operating model, and approval workflows that help your organization move from fragmented AI experimentation to controlled, production-ready deployment.
Control agent actions before execution by authorizing tool calls, data access, and workflow triggers in real time across multi-agent systems and connected enterprise environments.
Generate continuous evidence for internal reviews and external audits with complete traces, policy evaluation records, timestamps, and data lineage for every governed AI interaction.
Track AI spend by team, workflow, and provider while enforcing budgets, thresholds, and routing decisions that improve cost efficiency without sacrificing performance or control.
Connect governance controls into existing enterprise environments through proxy-based deployment, SDKs, APIs, and partner integrations with major cloud and platform ecosystems.
Shadow AI creates blind spots in security, compliance, and cost management when teams adopt tools faster than governance can keep up. Trussed AI gives enterprises a control plane that detects unmanaged AI activity, applies policies at runtime, and produces continuous audit evidence. The result is safer AI adoption, clearer accountability, and faster movement from experimentation to governed production use.
See how enterprises improve visibility, compliance, and control across rapidly expanding AI environments.
Built for enterprises that need governance to work in real time, not just on paper.
Policies are enforced during live AI interactions, not after risks have already occurred.
Every governed interaction creates traceable evidence for compliance, internal review, and regulator scrutiny.
Founded by leaders from Google Cloud, AWS, Adobe, Microsoft, Cisco, and Oracle.
Choose self-managed or managed deployment with proxy-based integration that minimizes application changes.
Experienced builders of enterprise AI infrastructure.
Co-Founder
Ajay Dankar is Co-Founder of Trussed AI and brings nearly three decades of cloud product and engineering leadership to enterprise AI governance. His background includes senior roles at Google Cloud, AWS, Adobe, and PayPal/eBay, where he worked on scaling, reliability, and cost optimization for complex production systems. At AWS, he led product management for Elastic Load Balancing, helping drive broad adoption and operational savings. He also founded Finsphere, later acquired by Visa, where he helped pioneer fraud detection using mobile location data. At Trussed AI, Ajay focuses on helping enterprises scale generative and agentic AI with the controls, resilience, and governance needed for production environments.
Co-Founder
Branden McIntyre is Co-Founder of Trussed AI and specializes in building infrastructure that helps enterprises deploy AI reliably at scale. Across product roles at Rakuten, Cisco, JustAnswer, and Oracle, he saw the same challenge repeatedly: organizations could experiment with AI, but lacked the tooling to move safely into production. His work leading AI prediction initiatives improved customer experience and platform efficiency while exposing the operational gaps between prototypes and dependable systems. At Trussed AI, Branden applies that experience to governance, reliability, and deployment strategy, helping enterprises implement AI systems with stronger oversight, clearer controls, and infrastructure designed for real-world operational demands.
Co-Founder
Sunita Reddy is Co-Founder of Trussed AI, where she leads AI, operations, and partner strategy for enterprise adoption of generative and agentic AI. With more than two decades of experience across product, AI, and design, she is known for turning emerging technologies into scalable, enterprise-ready solutions. Her background includes leadership roles at JustAnswer, Microsoft, and Accellion, where she built AI copilots, conversational systems, and collaboration products through strategic partnerships. She also holds multiple patents in location-based fraud detection. At Trussed AI, Sunita focuses on identifying high-impact use cases, shaping partner ecosystems, and helping enterprises operationalize AI with governance built into everyday workflows.
An enterprise AI user is any employee, contractor, developer, analyst, or business team member using AI tools within an organization. That can include approved copilots, internal models, third-party AI apps, or autonomous agents. In shadow AI governance, the concern is not just who uses AI, but whether usage is visible, policy-aligned, secure, and properly logged for compliance and operational oversight.
Talk with our team about shadow AI risks and controls.
Validated controls for security and operations.
International standard for information security.
Supports structured AI risk management.
Share your current AI governance challenges, deployment goals, or compliance requirements, and our team will help you evaluate the right path forward.
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