AI Control Plane
Centralize runtime governance across AI apps, agents, and developer tools with policy enforcement, audit logging, security controls, usage visibility, and deployment flexibility for regulated financial environments.
Give banking and financial services teams real-time control over AI models, agents, and workflows with governance built into execution. Trussed AI helps institutions reduce manual oversight, strengthen audit readiness, and align AI operations with strict regulatory, security, and risk expectations across production environments.
Explore core governance capabilities built for regulated AI deployment, oversight, compliance, and operational control.
Centralize runtime governance across AI apps, agents, and developer tools with policy enforcement, audit logging, security controls, usage visibility, and deployment flexibility for regulated financial environments.
Control agent actions before tool calls, data access, and workflow triggers execute, helping banks govern multi-agent systems with real-time authorization and end-to-end oversight.
Generate continuous audit evidence from every governed interaction, including policy results, timestamps, model versions, and data lineage for internal reviews and regulatory examinations.
Track AI spend across teams, workflows, and providers while enforcing budgets and optimizing model routing to support stronger financial accountability and ROI analysis.
Design governance strategy, operating models, approval workflows, and deployment plans that help financial institutions move from AI pilots to production-ready controls.
Connect governance controls with cloud platforms, models, applications, and developer environments through proxy-based deployment, SDKs, and partner integrations.
Trussed AI gives financial services and banking teams a unified control plane to govern AI where risk actually happens: at runtime. Instead of relying on static policies or manual reviews alone, the platform enforces controls across models, agents, applications, and workflows in real time. That means stronger compliance, clearer audit trails, tighter cost discipline, and safer production deployment.
See how governed AI operations improve compliance, oversight, and production readiness for enterprise teams.
Trussed AI helps regulated organizations operationalize AI governance without slowing innovation.
Policies are enforced during live AI execution, not left as static documentation.
Every governed interaction creates traceable evidence for internal audit and financial regulators.
Built to support banking-grade oversight with SOC 2 Type II, ISO 27001, and mapped controls.
Proxy-based deployment, low latency, and failover support enterprise AI across critical financial workflows.
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 the company. His background spans Google Cloud, AWS, Adobe, and PayPal/eBay, where he worked on large-scale infrastructure, enterprise reliability, and cost optimization. At AWS, he led product management for Elastic Load Balancing, helping drive adoption and operational savings. As founder and CTO of Finsphere, later acquired by Visa, he also pioneered credit card fraud detection using mobile location data, giving him direct relevance to financial services risk and trust challenges. Ajay combines deep infrastructure expertise with practical experience helping enterprises scale AI and cloud systems securely in complex, high-stakes 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, and JustAnswer, he saw the recurring gap between AI experimentation and production deployment. His work leading AI prediction initiatives improved customer experience and platform efficiency, while also revealing the need for stronger operational controls, governance, and deployment tooling. Earlier in his career, he worked as a technology consultant at Oracle, adding enterprise systems perspective to his product background. Branden brings a practical understanding of how organizations move machine learning and generative AI into real business workflows, with an emphasis on safety, reliability, and measurable operational value.
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. Earlier, she drove product innovation at Microsoft and Accellion and built strategic partnerships with companies such as Verizon, Okta, and MobileIron. She is also an inventor with multiple patents in location-based fraud detection, bringing valuable insight into trust, oversight, and risk-sensitive AI use cases relevant to financial institutions.
An AI governance platform is a system that helps organizations control how AI is used across models, applications, agents, and workflows. It applies policies, security rules, approvals, and monitoring in a consistent way. For enterprises, it also creates audit trails, tracks usage and cost, and supports compliance by turning governance from a manual process into an operational control layer.
Talk with our team about controls, deployment, and compliance needs.
Independent controls validation for secure operations.
Recognized information security management standard.
Supports structured AI risk management practices.
Share your AI governance goals, deployment model, and compliance priorities. Our team will help you evaluate the right controls, architecture, and rollout approach.
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