AI GOVERNANCE & TRUST LAYER

AI accelerates everything — including organizational entropy.

The governance layer between your AI tools and your codebase. Every interaction policy-checked, logged, and aligned.

AI Entropy (Ungoverned)14 violations
CRITICALAWS_SECRET_KEY="AKIA3E..." hardcoded in auth.ts
DRIFTNew service created with a non-standard auth middleware
SECURITYCORS set to * on /api/admin endpoint
DRIFTIntroduced Redux in a repo standardized on Zustand
DEBTThree different pagination patterns added across one module
CRITICALSQL query built with string concat — injection vector
DRIFTCreated REST endpoints while org is migrating to GraphQL
DEBTNo error handling on 4 async calls
SECURITYJWT stored in localStorage with no expiry validation
DRIFTDeprecated lodash@3.10.1 with known CVE-2021-23337
DEBTGod classes with no test scaffolding
After UnyformAligned
Policies enforced at generation time — before code is written
Architecture conventions applied across copilots + agents
Secrets detected & blocked before commit
SQL injection replaced with parameterized queries
Approved dependencies only; drift prevented automatically
Stable patterns: one auth approach, one pagination approach
Full audit trail across all AI tools — exportable for compliance
Velocity increases without sacrificing coherence

Designed for teams building in regulated environments

Financial ServicesHealthcareCloud InfrastructureEnterprise SaaSGovernment

AI makes teams faster. It also makes organizations fragmented.

Every AI tool your organization uses makes independent decisions about patterns, architecture, and conventions. The output compounds—and the inconsistency compounds faster. Velocity without alignment becomes long-term drag.

1

Every AI writes differently

Copilot suggests one pattern. ChatGPT suggests another. Your agents introduce a third. Same team, same repo—three architectures quietly diverging until the review.

2

Standards decay silently

Architecture decisions that took weeks to make get overridden in seconds by an AI that doesn’t know they exist. Deprecated dependencies, wrong patterns, broken conventions—shipping faster than before.

3

AI entropy compounds

More output. Less coherence. Every AI-assisted PR adds surface area no one fully reviews. Six months in, your codebase reflects the decisions of a dozen models—not your engineering org.

Copilots optimize for speed. Enterprises need alignment.

Most tools are reactive: scan after the fact, catch issues in review, and clean up later. Unyform enforces organizational standards at generation time—before output reaches your teams.

A single layer governing every AI interaction.

Unyform centralizes policy across copilots, agents, and internal AI apps—so AI behavior stays consistent with how your organization builds.

CONTROL

Governance Control Plane

One policy layer across every AI surface—IDE copilots, agents, and internal LLM apps. Centralize permissions, routing, and enforcement without changing how teams work.

ALIGNMENT

Organizational Alignment Engine

Define standards once—architecture constraints, approved dependencies, security rules, and team conventions. Enforced automatically at generation time. YAML-based, version-controlled, auditable.

VISIBILITY

Audit & Traceability

Every AI interaction is attributable, reviewable, and exportable. When audit asks, “show me how AI was used,” you have the trail—across every tool and team.

SECURITY

Enterprise-Grade Deployment

BYOK encryption, SSO/MFA, RBAC, and configurable retention. Built for real enterprise requirements—without asking security to “trust the black box.”

One line changed. Every AI governed.

Point your AI tools at Unyform. Policies apply everywhere. No SDK required for basic coverage.

Deploy managed cloud or VPC. Optional redaction and retention controls for sensitive fields.

01

Swap your endpoint

Replace your AI provider base URL with Unyform’s control plane. Works with OpenAI, Anthropic, and OpenAI-compatible providers.

02

Commit policies like code

Define governance in YAML—approved dependencies, security rules, and architecture constraints. Version it. Review it. Roll it back.

03

Enforce by default

Every AI suggestion is checked and aligned before it reaches teams. Audit trails build themselves across copilots, agents, and internal apps.

.env
# Before
OPENAI_BASE_URL=https://api.openai.com/v1

# After
OPENAI_BASE_URL=https://control.unyform.dev/v1

# Every AI interaction now inherits governance.

Not another AI assistant. Not another scanner.

Copilots generate in isolation. Security tools react after the fact. Unyform governs AI behavior across the enterprise—before output ships.

FeatureCopilotsAI SecurityUnyform
One policy layer across copilots + agents + internal AI appsSome
Policy enforced at generation time (not just after)Partial
Prevents organizational drift (patterns, architecture, dependencies)
Audit-ready traceability across all AI interactionsPartial
Model/provider agnosticLimitedSome

Today, copilots. Tomorrow, autonomous agents.

As agents move beyond code—touching data, infrastructure, and operations—governance must be universal. The same layer that aligns copilots today will govern autonomous systems tomorrow. The companies that scale AI successfully won’t be the ones who adopted it fastest. They’ll be the ones who adopted it most coherently.

The future of AI is governed.

Bring order to AI sprawl—without slowing teams down.