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Enterprise Compliance for AI Systems

Enterprise compliance was built around periodic control testing and documentation review. AI breaks that model: systems that generate novel outputs, act autonomously, and change behavior with every vendor model update can't be governed by quarterly assessments. Trussed AI makes AI compliance continuous, policies enforced in the live path of every LLM application, copilot, and agent, with evidence captured automatically at the moment of each interaction.

What is enterprise AI compliance?

Enterprise AI compliance is the ongoing assurance that AI systems operate within regulatory and internal requirements, spanning data protection, usage policy, output controls, agent permissions, and documentation. For production AI, compliance must be enforced at runtime and evidenced continuously, because risk materializes at inference time, not at audit time.

Why traditional compliance approaches fail for AI

Point-in-time vs. continuous: annual assessments can't cover systems making thousands of decisions daily
Documentation vs. enforcement: a written policy doesn't stop a non-compliant prompt
Behavioral drift: vendor model updates change behavior between control tests
Evidence gaps: without per-interaction records, auditors get assertions instead of proof

How Trussed AI delivers continuous AI compliance

Control Plane, a runtime layer enforcing policies across models, agents, and applications, generating audit-ready logs, traces, and reporting for compliance teams.
Agent Governance, execution-layer authorization of tool calls, data access, and workflow triggers before actions occur.
Audit Assurance, continuous evidence: policy results, model versions, timestamps, and lineage for every interaction.
AI Governance Advisory, usage policies, approval workflows, and operating models embedded into production systems rather than managed manually afterward.
Cost Governance, spend monitoring, attribution, and budget enforcement so the compliance program is financially controlled too.
LLM Integrations, APIs, SDKs, and managed or self-managed deployment that fit existing enterprise security architectures.

Which frameworks does Trussed AI support?

Policy templates and controls align to NIST AI RMF, EU AI Act, ISO 42001, HIPAA, GDPR, CCPA, FERPA, SR 11-7, and emerging state AI laws, with one enforcement layer serving multiple frameworks, so each new regulation is a policy update rather than a new program.

Why enterprises choose Trussed AI

Compliance teams spend most of their AI effort manually reviewing usage and assembling evidence. Trussed automates both: enforcement happens in-line (sub-20ms, no code changes) and evidence is a byproduct of operation. Customers report roughly 50% reductions in manual governance workload with violation rates under 1%.

Frequently Asked Questions

Does one platform really cover multiple regulations? Yes, most frameworks demand the same primitives: data controls, usage policy, auditability, monitoring. Trussed implements the primitives once and maps them to each framework's requirements.

How quickly can controls be deployed? Proxy-based deployment typically brings first applications under governance in days; advisory engagements stand up full operating workflows in about four weeks.

What do auditors actually receive? Structured, per-interaction evidence: the policy evaluated, the result, the model and version, timestamps, and data lineage, exportable for internal and external review.

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