GenAI Acceptable Use Policy Enforcement Platform

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.

Enterprise AI policy enforcement dashboard

Our GenAI Acceptable Use Policy Enforcement Platform Services

Explore the core governance, enforcement, and assurance capabilities that help enterprises control AI usage in production.

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.

Agentic Governance

Apply policy checks before every tool call, data access event, and workflow trigger so autonomous agents operate within approved boundaries in real time.

AI Audit Assurance

Generate continuous evidence for internal reviews and external audits with complete traces, policy evaluation records, timestamps, and data lineage for governed AI interactions.

Cost Governance

Track AI spend by team, workflow, and provider while enforcing budgets, alerts, and usage thresholds to keep acceptable use aligned with financial controls.

Governance Advisory

Design enterprise AI usage policies, approval workflows, and operating models that move organizations from experimentation to governed, production-ready deployment.

Platform Integrations

Connect governance controls into existing cloud, model, and enterprise environments through SDKs, APIs, and partner integrations with leading platforms.

Runtime Policy Control

Enforce AI Policies Where Usage Happens

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.

AI governance platform enforcing usage policies
Trusted For Governance

Success Stories

See how enterprises strengthen AI control, compliance, and operational readiness with Trussed AI.

"Trussed AI Control Plane transformed how we manage AI governance across our organization. Real-time policy enforcement and complete audit trails have reduced our manual compliance workload by half while ensuring every AI interaction is tracked and governed automatically."

Margaret Chen

"We needed to move AI agents into production safely in a regulated healthcare environment. Agentic Governance solved our biggest pain point—governing tool calls and API requests in real time before they execute, giving us confidence at scale."

Dr. James Patel

"Implementing ai acceptable use policy enforcement was critical for us. Trussed's drop-in proxy integration required zero code changes, and we achieved operational workflows in under four weeks. The platform handles everything from policy definition to real-time enforcement seamlessly."

Rebecca Torres

"Our AI experimentation exploded across teams, creating compliance chaos. The AI Governance Advisory service helped us define a proper operating model, and we deployed within four weeks. The regulatory compliance improvement has been remarkable."

David Kumar

"Cost Governance alone justified the investment—we're now tracking and attributing AI spend across departments with real-time visibility. The ability to enforce budgets before costs overrun prevents the surprise bills we used to get monthly."

Lisa Weinstein

"We've been using Trussed as our long-term governance partner for over eighteen months. The team listens to our needs, evolves the platform with us, and the relationship has been foundational to scaling AI safely across our financial services operations."

Thomas Anderson

"The AI Audit and Assurance capability generates continuous audit evidence automatically—no more reconstructing policy evaluations after incidents. Every decision is logged with full data lineage, timestamps, and model versions instantly accessible for regulators."

Patricia Holmes

"From a market positioning perspective, Trussed's ai acceptable use policy enforcement gives regulated enterprises a competitive advantage. We're deploying AI faster than peers while maintaining tighter governance controls and reducing operational risk dramatically."

Michael Foster

"Trussed AI Control Plane transformed how we manage AI governance across our organization. Real-time policy enforcement and complete audit trails have reduced our manual compliance workload by half while ensuring every AI interaction is tracked and governed automatically."

Margaret Chen

"We needed to move AI agents into production safely in a regulated healthcare environment. Agentic Governance solved our biggest pain point—governing tool calls and API requests in real time before they execute, giving us confidence at scale."

Dr. James Patel

"Implementing ai acceptable use policy enforcement was critical for us. Trussed's drop-in proxy integration required zero code changes, and we achieved operational workflows in under four weeks. The platform handles everything from policy definition to real-time enforcement seamlessly."

Rebecca Torres

"Our AI experimentation exploded across teams, creating compliance chaos. The AI Governance Advisory service helped us define a proper operating model, and we deployed within four weeks. The regulatory compliance improvement has been remarkable."

David Kumar

"Cost Governance alone justified the investment—we're now tracking and attributing AI spend across departments with real-time visibility. The ability to enforce budgets before costs overrun prevents the surprise bills we used to get monthly."

Lisa Weinstein

"We've been using Trussed as our long-term governance partner for over eighteen months. The team listens to our needs, evolves the platform with us, and the relationship has been foundational to scaling AI safely across our financial services operations."

Thomas Anderson

"The AI Audit and Assurance capability generates continuous audit evidence automatically—no more reconstructing policy evaluations after incidents. Every decision is logged with full data lineage, timestamps, and model versions instantly accessible for regulators."

Patricia Holmes

"From a market positioning perspective, Trussed's ai acceptable use policy enforcement gives regulated enterprises a competitive advantage. We're deploying AI faster than peers while maintaining tighter governance controls and reducing operational risk dramatically."

Michael Foster

"Trussed AI Control Plane transformed how we manage AI governance across our organization. Real-time policy enforcement and complete audit trails have reduced our manual compliance workload by half while ensuring every AI interaction is tracked and governed automatically."

Margaret Chen

"We needed to move AI agents into production safely in a regulated healthcare environment. Agentic Governance solved our biggest pain point—governing tool calls and API requests in real time before they execute, giving us confidence at scale."

Dr. James Patel

"Implementing ai acceptable use policy enforcement was critical for us. Trussed's drop-in proxy integration required zero code changes, and we achieved operational workflows in under four weeks. The platform handles everything from policy definition to real-time enforcement seamlessly."

Rebecca Torres

"Our AI experimentation exploded across teams, creating compliance chaos. The AI Governance Advisory service helped us define a proper operating model, and we deployed within four weeks. The regulatory compliance improvement has been remarkable."

David Kumar

"Cost Governance alone justified the investment—we're now tracking and attributing AI spend across departments with real-time visibility. The ability to enforce budgets before costs overrun prevents the surprise bills we used to get monthly."

Lisa Weinstein

"We've been using Trussed as our long-term governance partner for over eighteen months. The team listens to our needs, evolves the platform with us, and the relationship has been foundational to scaling AI safely across our financial services operations."

Thomas Anderson

"The AI Audit and Assurance capability generates continuous audit evidence automatically—no more reconstructing policy evaluations after incidents. Every decision is logged with full data lineage, timestamps, and model versions instantly accessible for regulators."

Patricia Holmes

"From a market positioning perspective, Trussed's ai acceptable use policy enforcement gives regulated enterprises a competitive advantage. We're deploying AI faster than peers while maintaining tighter governance controls and reducing operational risk dramatically."

Michael Foster
The Trussed AI Difference

Why Choose Trussed AI?

Trussed AI helps enterprises operationalize acceptable use policies with enforceable controls, not static documents.

Real-Time Enforcement

Policies are evaluated at runtime across models, agents, tools, and workflows before risky actions execute.

Audit Readiness

Every governed interaction produces traceable evidence for compliance teams, internal audit, and regulatory reviews.

Flexible Deployment

Choose managed or self-managed deployment to fit enterprise security, infrastructure, and operational requirements.

Proven Standards

Built with SOC 2 Type II and ISO 27001-aligned controls for regulated enterprise environments.

Meet The Leadership Team

Experienced founders building enterprise AI governance infrastructure.

Ajay Dankar Co-Founder headshot

Ajay Dankar

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.

Branden McIntyre Co-Founder headshot

Branden McIntyre

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.

Sunita Reddy Co-Founder headshot

Sunita Reddy

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.

Frequently Asked Questions

How can I develop an enterprise policy on the use of AI?

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.

What should be included in a company AI usage policy?

How does an acceptable use policy enforcement platform work?

Can AI policies be enforced in real time instead of through manual reviews?

What types of AI risks can this platform help control?

Does Trussed AI support agentic AI governance?

What compliance frameworks does the platform align with?

How quickly can an enterprise operationalize AI governance workflows?

Still Have Questions About AI Governance?

Talk with our team about policy design, enforcement, and deployment options.

Certified & Trusted

Awards and Recognition

SOC 2 Type II certification logo

SOC 2 Type II

Validated controls for secure enterprise operations.

ISO 27001 certification logo

ISO 27001

International standard for information security management.

NIST AI RMF alignment badge

NIST AI RMF Alignment

Supports structured AI risk management practices.

Build Enforceable AI Usage Controls

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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