U.S. AI governance spans federal guidance and a growing set of state-level requirements, creating a complex compliance environment for organizations building and deploying AI.
UnifAI helps organizations determine what requirements apply, map them to policies and controls, enforce guardrails, and maintain documented evidence across evolving federal and state requirements.
Navigate Federal and State AI Requirements with Continuous Controls
AI governance in the United States is developing across federal guidance and state-level requirements, creating an increasingly complex compliance environment for organizations building and deploying AI.
Unlike jurisdictions governed by a single comprehensive AI regulation, U.S. organizations may need to address multiple requirements based on where they operate, how AI is used, the data involved, and the potential impact of an AI system.
UnifAI helps organizations discover the AI they need to govern, map applicable requirements to policies and controls, enforce guardrails, and maintain documented evidence.
Lineaje’s current AI Policy Compliance Coverage assessment includes:
Federal
State AI Requirements
These requirements are included among the 16 AI frameworks currently assessed by Lineaje across its broader global AI compliance coverage.
The U.S. AI Compliance Challenge
For security, compliance, and GRC teams, the challenge isn’t simply knowing that another AI requirement exists. Organizations need to answer:
What AI do we have?
Identify models, agents, applications, services, and other AI assets operating across the organization.
Which requirements apply?
Determine which federal, state, industry, and organizational requirements are relevant to each AI system.
What controls address those requirements?
Connect applicable obligations to specific security, governance, data, identity, and operational policies.
Are those controls actually enforced?
Move beyond written policy by applying guardrails where AI is built and operated.
Can we prove it?
Maintain documented evidence demonstrating how mapped requirements are being addressed.
From U.S. AI Requirements to Operational Controls
UnifAI provides a continuous operating model for translating changing AI requirements into governance:
Regulatory Requirement → Policy Mapping → AI Control → Enforcement or Notification→ Documented Evidence
This helps organizations move from:
Unknown AI Assets → AI Visibility
Establish an inventory of AI operating across the organization.
Regulatory Complexity → Requirement-Level Mapping
Evaluate applicable requirements individually rather than relying on broad compliance claims.
Written Policies → Operational Controls
Connect governance requirements to enforceable or notification-based policies.
Point-in-Time Reviews → Continuous Assessment
Continuously evaluate AI systems as environments, policies, and requirements change.
Broad Compliance Claims → Documented Evidence
Maintain verified evidence against the applicable clauses, articles, or sections addressed by Lineaje policies.
One Control Model. Multiple U.S. AI Requirements.
As federal and state AI requirements evolve, organizations need a compliance model that can adapt without creating a new governance silo for every regulation.
UnifAI provides a common policy and control layer that helps security, engineering, and GRC teams manage requirements across AI environments. Instead of treating every U.S. requirement as a separate compliance exercise, organizations can map federal and state obligations to a common set of policies and controls—and see where one control supports multiple requirements.
DISCOVER — Know What AI You Need to Govern
Discover AI assets across teams and environments to establish visibility into AI systems that may introduce security, governance, and compliance requirements.
DERIVE — Map Requirements to Policies and Controls
Assess applicable AI requirements requirement by requirement and map covered obligations to policies with documented, verified evidence.
DEFEND — Apply Guardrails Across AI Systems
Operationalize governance through enforceable and notification-based policies supporting areas such as cybersecurity, privacy, transparency, monitoring, identity, and automated decision-making.
UnifAI’s operating model is built around continuously discovering AI inventory, deriving appropriate policies, and defending AI applications with built-in guardrails.
U.S. AI compliance is not a one-time exercise. As requirements evolve across federal and state jurisdictions, organizations need a way to understand what applies, translate those requirements into controls, and continuously determine whether those controls are working.
Discover your AI. Map the requirements. Enforce the controls. Maintain the evidence.
UnifAI gives organizations a continuous operating model for turning evolving U.S. AI requirements into policies, controls, enforcement, and documented evidence.
*Coverage reflects Lineaje’s internal AI Policy Compliance Coverage assessment. “Covered” means at least one policy has documented, verified evidence against the applicable clause, article, or section. Coverage is limited to controls assessed by Lineaje and does not constitute a general assertion of regulatory compliance.
See how UnifAI helps you manage evolving federal and state AI requirements through one continuous model for AI discovery, requirement mapping, controls, enforcement, and evidence.