AI Control Plane
Centralize AI privacy governance with runtime policy enforcement, audit logging, usage visibility, and deployment options that fit enterprise security and compliance requirements.
Help your organization operationalize AI privacy compliance with real-time controls, audit-ready evidence, and policy enforcement built into AI workflows. Trussed AI supports teams moving from experimentation to production with governance that aligns to CCPA and evolving state privacy requirements, reducing manual oversight while improving visibility across models, agents, and applications.
Explore core platform capabilities that help enterprises govern AI privacy, risk, and compliance in production.
Centralize AI privacy governance with runtime policy enforcement, audit logging, usage visibility, and deployment options that fit enterprise security and compliance requirements.
Control agent actions before tool calls, data access, and workflow triggers execute, helping teams enforce privacy boundaries across multi-agent systems in real time.
Generate continuous audit evidence for governed AI interactions, including policy results, timestamps, model versions, and data lineage for internal and external reviews.
Track and control AI spend across teams, providers, and workflows with real-time attribution, budget thresholds, and routing decisions tied to business outcomes.
Design governance strategies, approval workflows, and operating models that help enterprises align AI deployment with privacy, risk, and regulatory obligations.
Connect existing AI tools, cloud environments, and developer workflows through integrations that extend governance and privacy controls without disrupting operations.
Trussed AI helps enterprises move beyond static privacy documentation by enforcing AI governance where interactions actually happen. The platform applies policy controls across models, agents, applications, and developer tools, while generating audit-ready records automatically. For organizations navigating CCPA and emerging state AI privacy rules, this creates a practical path to stronger oversight, faster reviews, and more confident production deployment.
Built for enterprises that need enforceable AI privacy and governance controls in production.
Policies are enforced in real time across models, agents, and workflows, not checked after deployment.
Every governed interaction creates traceable evidence for privacy reviews, internal audit, and regulatory examination.
Built on enterprise-grade controls designed to meet regulatory expectations for security and trust.
Teams can move from fragmented oversight to live governance workflows in as little as four weeks.
Experienced leaders in enterprise AI infrastructure and governance.
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. That blend of infrastructure depth and financial risk innovation informs Trussed AI's approach to governed, production-ready AI. Ajay 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 the same recurring issue: organizations could experiment with AI, but lacked the controls and operational tooling needed for safe production deployment. At Rakuten and JustAnswer, he led AI prediction initiatives that improved customer experience and platform efficiency, giving him firsthand insight into the governance gaps that emerge as models move into real workflows. His work today centers on helping enterprises implement AI systems safely, effectively, and with stronger operational discipline. Branden holds an MBA from UC Berkeley Haas 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. At JustAnswer, she led initiatives that integrated large language models into core workflows, including copilots, conversational interfaces, and human-in-the-loop systems that improved engagement and accuracy. Earlier roles at Microsoft and Accellion involved product innovation, unified communications, and strategic partnerships with major technology providers. She also holds multiple patents in location-based fraud detection, adding valuable perspective for regulated industries managing risk-sensitive AI use cases. Sunita holds graduate and undergraduate engineering degrees from the University of Maryland and Osmania University.
A CCPA and state AI privacy compliance platform helps organizations apply privacy, governance, and risk controls directly to AI systems in production. Instead of relying only on policies or manual reviews, it can enforce rules at runtime, monitor usage, generate audit trails, and provide visibility into how models, agents, and applications handle data across workflows.
Talk with our team about your AI privacy requirements.
Share your AI governance goals, deployment environment, and compliance priorities. Our team will help you evaluate the right platform approach for privacy, audit readiness, and runtime control.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.