AI Governance
Advisory support to define AI usage policies, approval workflows, and operating models so governance is embedded into production systems instead of handled manually after deployment.
Build AI systems with the controls, evidence, and runtime governance needed for SOC 2 Type II readiness. Trussed AI helps enterprises secure LLM applications, copilots, and agent workflows with continuous monitoring, audit trails, and policy enforcement designed for production environments where reliability, traceability, and compliance all matter.
Enterprise services for governing, securing, and documenting compliant AI and LLM operations at scale.
Advisory support to define AI usage policies, approval workflows, and operating models so governance is embedded into production systems instead of handled manually after deployment.
A runtime AI control plane that enforces policies across models, agents, and applications while generating audit-ready logs, traces, and reporting for compliance teams.
Execution-layer controls for agentic AI that authorize tool calls, data access, and workflow triggers before actions occur, helping reduce risk in autonomous systems.
Continuous evidence generation for AI interactions, including policy results, model versions, timestamps, and lineage to support internal reviews and external audits.
Real-time spend monitoring, attribution, and budget enforcement across teams, models, and workflows so AI compliance efforts also stay financially controlled.
Flexible deployment and integration options through APIs, SDKs, and managed or self-managed environments to fit existing enterprise AI and security architectures.
SOC 2 Type II for AI systems requires more than static documentation. Trussed AI helps organizations apply controls where LLMs, copilots, and agents actually operate, with real-time policy enforcement, continuous evidence capture, and audit-ready visibility. That means stronger oversight for prompts, outputs, tool use, data access, and model behavior without slowing down production deployment.
Helping organizations operationalize governed AI with measurable control, visibility, and audit readiness.
Trussed AI combines governance strategy with runtime enforcement for enterprise AI environments.
Backed by SOC 2 Type II and ISO 27001 credentials for high-assurance enterprise environments.
Policies are enforced during live AI interactions, not only documented for periodic review.
Every governed interaction can produce traceable evidence for compliance, audit, and internal oversight teams.
Built to help enterprises move from AI pilots to reliable, governed production deployments.
Experienced founders building governed 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 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 deploy generative and agentic AI with the controls, resilience, and governance needed for secure production use across public and hybrid cloud environments.
Co-Founder
Branden McIntyre is Co-Founder of Trussed AI and focuses on infrastructure that helps enterprises deploy AI reliably at scale. Across product roles at Rakuten, Cisco, JustAnswer, and Oracle, he saw the same recurring challenge: organizations could experiment with AI quickly, but lacked the operational controls to move systems safely into production. His work leading AI prediction and machine learning initiatives improved customer experience and platform efficiency while exposing the need for stronger deployment tooling. At Trussed AI, Branden applies that experience to building practical governance and infrastructure for LLM applications, copilots, and agent workflows. His approach centers on helping teams close the gap between promising prototypes and compliant, dependable enterprise AI operations.
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 specializes in turning emerging technologies into scalable business solutions. Her background includes leadership roles at JustAnswer, Microsoft, and Accellion, where she worked on AI products, unified communications, and strategic partnerships. At JustAnswer, she led initiatives that integrated large language models into core workflows, including copilots, conversational interfaces, and human-in-the-loop systems. At Trussed AI, Sunita helps organizations identify high-impact AI use cases and operationalize them with the governance, oversight, and partner ecosystem needed for secure enterprise deployment.
SOC 2 compliance with AI means applying security, availability, confidentiality, and related controls to AI systems that process data or support business operations. For LLM deployments, that often includes access controls, audit logging, model and prompt traceability, policy enforcement, incident response, and vendor oversight. The goal is to show that AI operations are governed consistently and monitored over time.
Speak with our team about governed AI and audit readiness.
Validated controls for ongoing security operations.
Recognized information security management standard.
Built for continuous compliance evidence generation.
Share your AI environment, compliance goals, and deployment model. Our team will help you evaluate governance gaps, control requirements, and practical next steps for SOC 2 Type II readiness.
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To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.