Governance Advisory
Define vendor review criteria, approval workflows, and governance standards so third-party AI tools can be assessed consistently before production use across regulated enterprise environments.
Evaluate third-party AI vendors with a governance-first approach that helps your team identify security, compliance, operational, and cost risks before deployment. Trussed AI supports enterprise due diligence with runtime controls, audit-ready evidence, and practical guidance for assessing models, agents, platforms, and AI-enabled vendors used across regulated environments.
Comprehensive services for evaluating, governing, and monitoring third-party AI vendors and platforms.
Define vendor review criteria, approval workflows, and governance standards so third-party AI tools can be assessed consistently before production use across regulated enterprise environments.
Apply runtime governance, policy enforcement, audit logging, and risk controls across external AI apps, agents, and developer tools without disrupting existing systems.
Generate continuous evidence for vendor due diligence with traceable records of AI interactions, policy decisions, model versions, and data lineage for internal and external reviews.
Assess and control agentic AI vendors by enforcing policy before tool calls, data access, and workflow triggers, reducing risk in autonomous and multi-agent environments.
Monitor vendor-related AI spend, attribute usage by team or workflow, and enforce budget thresholds to prevent overruns while evaluating business value.
Maintain ongoing visibility into vendor behavior, compliance posture, usage patterns, and operational performance so due diligence continues after onboarding.
Third-party AI due diligence requires more than a questionnaire. Trussed AI helps enterprises evaluate vendors across governance, security, compliance, auditability, resilience, and cost control, then extend those requirements into runtime enforcement. The result is a stronger review process, clearer approval decisions, and continuous oversight for AI platforms, copilots, agents, and embedded vendor tools operating in regulated environments.
See how enterprises strengthen AI oversight, compliance, and operational control with Trussed AI.
Built for enterprises that need practical, enforceable AI governance.
Policies are enforced in real time across models, agents, tools, and workflows.
Every governed interaction produces traceable evidence for compliance, internal review, and external examination.
Founders bring deep product and infrastructure experience from Google Cloud, AWS, Microsoft, and Adobe.
Choose managed or self-managed deployment with drop-in integration and minimal application disruption.
Experienced leaders in enterprise AI 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 scaling, reliability, and cost optimization challenges for complex platforms. At AWS, he led product management for Elastic Load Balancing, helping drive major adoption and efficiency gains. 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 stronger governance, resilience, and operational control across public and hybrid cloud environments.
Co-Founder
Branden McIntyre is Co-Founder of Trussed AI and focuses on infrastructure that helps enterprises move AI from experimentation into reliable production use. Over the course of his career at Rakuten, Cisco, JustAnswer, and Oracle, he saw firsthand how organizations struggled to operationalize AI safely at scale. His work leading AI prediction initiatives and machine learning implementations highlighted the need for stronger tooling, governance, and deployment controls. At Trussed AI, Branden applies that experience to building systems that improve oversight, reliability, and confidence in enterprise AI adoption. His perspective is grounded in practical implementation, helping organizations evaluate and manage AI platforms with clearer operational guardrails and stronger production readiness.
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-ready solutions. Her background includes leadership roles at JustAnswer, Microsoft, and Accellion, where she worked on AI products, collaboration platforms, and strategic partnerships. She has helped build co-pilot systems, conversational interfaces, and human-in-the-loop AI workflows designed to improve accuracy and business outcomes. At Trussed AI, Sunita helps organizations identify high-impact AI use cases while ensuring governance, operational discipline, and partner alignment are built into deployment from the start.
Vendor compliance is the process of confirming that a third-party provider meets your organization's legal, security, privacy, operational, and policy requirements. In the AI context, that includes reviewing how a vendor handles data, model behavior, access controls, audit logging, regulatory obligations, and ongoing monitoring. Strong vendor compliance helps reduce exposure before and after an AI tool is approved for use.
Talk with our team about your vendor review process.
Validated controls for security and trust.
Recognized information security management standard.
Aligned to AI risk management.
Share your current vendor evaluation goals, risk concerns, or governance requirements, and our team will help outline the right next steps.
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