AI Control Plane
Centralize acceptable use enforcement across AI apps, agents, and developer tools with runtime policy controls, audit logging, dashboards, and flexible managed or self-managed deployment options.
Turn AI usage policies into real-time controls with Trussed AI. Our platform helps enterprises enforce acceptable use standards across apps, agents, and developer tools while improving audit readiness, reducing manual oversight, and giving teams clear visibility into risk, usage, and cost before issues escalate.

Explore the core governance, enforcement, and assurance capabilities that help enterprises control AI usage in production.
Centralize acceptable use enforcement across AI apps, agents, and developer tools with runtime policy controls, audit logging, dashboards, and flexible managed or self-managed deployment options.
Apply policy checks before every tool call, data access event, and workflow trigger so autonomous agents operate within approved boundaries in real time.
Generate continuous evidence for internal reviews and external audits with complete traces, policy evaluation records, timestamps, and data lineage for governed AI interactions.
Track AI spend by team, workflow, and provider while enforcing budgets, alerts, and usage thresholds to keep acceptable use aligned with financial controls.
Design enterprise AI usage policies, approval workflows, and operating models that move organizations from experimentation to governed, production-ready deployment.
Connect governance controls into existing cloud, model, and enterprise environments through SDKs, APIs, and partner integrations with leading platforms.
A GenAI acceptable use policy only works when it is enforced in real time. Trussed AI helps enterprises apply approved rules directly across prompts, models, agents, tools, and workflows, so risky behavior is blocked before execution. With centralized visibility, continuous monitoring, and audit-ready records, teams can scale AI adoption with stronger security, compliance, and operational confidence.

See how enterprises strengthen AI control, compliance, and operational readiness with Trussed AI.
Trussed AI helps enterprises operationalize acceptable use policies with enforceable controls, not static documents.
Policies are evaluated at runtime across models, agents, tools, and workflows before risky actions execute.
Every governed interaction produces traceable evidence for compliance teams, internal audit, and regulatory reviews.
Choose managed or self-managed deployment to fit enterprise security, infrastructure, and operational requirements.
Built with SOC 2 Type II and ISO 27001-aligned controls for regulated enterprise environments.
Experienced founders building enterprise AI governance 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 large-scale infrastructure, reliability, and cost optimization challenges. 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 stronger governance, resilience, and operational control. He holds a master's degree in Electrical Engineering and Computer Science from the University of Florida and a Bachelor of Technology from IIT Delhi.

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 firsthand how organizations struggled to move from AI experimentation into production. His work leading AI prediction initiatives highlighted the need for stronger tooling, governance, and operational controls around enterprise AI systems. At Trussed AI, Branden helps shape solutions that close that gap by making AI deployment safer, more manageable, and easier to govern in real time. His experience spans customer experience platforms, machine learning systems, and enterprise technology consulting. He holds an MBA from UC Berkeley Haas School of Business and a Master of Science from New York University.

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 enterprise solutions. Her background includes leadership roles at JustAnswer, Microsoft, and Accellion, where she worked on AI-enabled workflows, conversational systems, unified communications, and strategic partnerships. At JustAnswer, she helped integrate large language models into core workflows and human-in-the-loop products that improved engagement and accuracy. At Trussed AI, Sunita focuses on identifying high-impact use cases and building the partnerships needed to operationalize governed AI at scale. She holds a Master of Science in Computer Engineering from the University of Maryland and a Bachelor of Science in Electrical Engineering from Osmania University.
Start by defining approved AI use cases, restricted activities, data handling rules, human review requirements, and accountability across business, legal, security, and engineering teams. An effective enterprise policy should also specify how rules are enforced in practice. Trussed AI supports this by helping organizations design governance workflows and apply policies automatically at runtime across apps, agents, and developer tools.
Talk with our team about policy design, enforcement, and deployment options.
Validated controls for secure enterprise operations.
International standard for information security management.
Supports structured AI risk management practices.
Share your AI governance goals, current risks, and deployment needs. Our team will help you evaluate the right policy enforcement approach for your enterprise.
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