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Enterprise AI governance control plane

Every AI decision,
governed with authority.

The enterprise control plane that governs every AI request across apps, agents, and browser AI with runtime policy enforcement, evidence, and clear operational control.

Runtime check
Every request logged
Employee AI
Customer chat
Copilots
Agent flows
Model output
Tool calls
API calls
Data access
Audit ledger
Live monitor
Evidence
UMAI

AI under attack

IBM IBV report

Elusive threats, elastic defense: Securing AI at scale

Published 22 March 2026

61%

of organizations have seen their AI-related models, assets, services, or data attacked within the last 12 months.

25%

of AI initiatives have been cancelled, postponed, or failed to scale because of security concerns over the same period.

01

Eliminate AI compliance gaps

Replace ad hoc policy reviews with one inline enforcement platform across every AI surface.

See how regulated enterprises close compliance gaps

02

Enforce policy at the source

Stop data leakage and prompt injection before they reach the model, not after damage is done.

See how healthcare teams maintain AI governance

03

Be audit-ready for AI now

Give regulators, auditors, and compliance teams tamper-evident evidence in real time.

See how governance teams compress audit cycles

Industry solutions

AI security and governance tailored to your industry.

UMAI delivers customized AI security and governance based on the operational, regulatory, and data risks unique to each industry. Policies, evidence, and approval controls are adapted to the way your teams actually use AI.

Public Sector

Public Sector

Industry playbook

AI security for the public sector

Customized AI security and governance for government agencies, municipalities, and public institutions that need sovereign deployment, strict policy enforcement, and defensible operational oversight.

Security outcomes

  • Enforce approved AI usage policies across staff, contractors, and public-facing services
  • Keep sensitive citizen, case, and internal operational data within approved boundaries
  • Support audit, procurement, and regulatory review with clear evidence trails

Product surfaces

Govern AI where regulated work actually happens.

Replace flat point controls with one layered platform that governs apps, copilots, browser AI, agentic workflows, and evidence collection in one enterprise-safe system.

Apps and Copilots

Power resilient AI apps with inline policy enforcement

UMAI gives AI apps and copilots a runtime governance layer that can inspect requests, responses, and tool calls before they become production risk.

  • Intercept every prompt and response in the request path
  • Connect enterprise apps and AI models with pre-built integrations
  • Govern AI interactions so downstream systems receive trusted output
Apps and Copilots

Control mode

Policy in path

Enforcement

Active | blocking

BriefAudit ledger evidence

Audit, ledger, evidence in one clean chain.

UMAI turns governed AI activity into a hash-linked trail that moves cleanly from runtime decision to exportable proof.

Explore compliance controls

Audit

Every action is reviewable

Actor, policy, and outcome stay attached to each governed AI decision.

Ledger

Hash-linked event trail

Records chain together so evidence remains tamper-evident by design.

Evidence

Audit packs on demand

Export ready material for GRC, internal audit, and regulator review.

Runtime eventHash-linked entryEvidence pack

01Regulatory alignment

Regulations we map to.

Every control surface is traceable to the obligations your auditors and regulators review.

EU AI Act logo
EU

EU AI Act

Risk and control mapping

NIST AI RMF logo
US

NIST AI RMF

Govern, map, measure, manage

GDPR logo
EU

GDPR

Data and privacy enforcement

KVKK logo
TR

KVKK

Turkiye-aligned policy routing

02Applied frameworks

Security and governance frameworks we apply.

Industry-standard threat models and governance toolkits wired directly into the runtime control plane.

MAESTRO logo

MAESTRO

Threat modeling and control design for prompts, tools, memory, and agent action boundaries.

Microsoft AI Governance Toolkit (AGT) logo

Microsoft AI Governance Toolkit (AGT)

Governance workflows, reviews, and evidence handling organized for enterprise control owners.

OWASP Top 10 coverage logo

OWASP Top 10 coverage

Runtime checks aligned to prompt injection, sensitive data exposure, unsafe outputs, and excessive agency risks.

03Assurance model

From regulatory mapping to attack-surface control in one runtime layer.

UMAI translates policy intent into runtime evaluation, approval enforcement, and exportable evidence instead of relying on static documentation alone.

Runtime control plane
  • 01

    Map enterprise controls to EU AI Act, GDPR, KVKK, and NIST AI RMF obligations.
  • 02

    Enforce runtime guardrails across prompts, responses, tool calls, and approvals.
  • 03

    Produce tamper-evident evidence for internal governance review and external audit workflows.

04Further reading

Go deeper on how the frameworks connect.

Governance rollout

Align security, GRC, and platform teams around one operational control plane for apps, agents, and browser AI.

Discuss governance rollout

Why UMAI

Enterprise AI governance

Three capabilities that separate governed AI deployment from ad hoc controls — built for regulated enterprises where depth matters more than decoration.

Next step

Move from evaluation to governed deployment.

Evaluate your AI integrations

Evaluate your AI integrations

Assess existing AI integrations. UMAI maps apps, agents, and browser tools against policy and compliance expectations.

Start evaluation
Contact a specialist

Contact a specialist

Plan an AI governance rollout that aligns architecture, controls, and compliance requirements before production deployment.

Contact a specialist
Start your PoC

Start your PoC

Deploy UMAI with policies tuned to your environment and see runtime enforcement on your own AI traffic in days.

Start your PoC

FAQ

Frequently asked questions

Clear answers for security, compliance, deployment, and enterprise AI governance teams evaluating UMAI.