About ReguLattice

Building the Governance Layer for the AI Era

ReguLattice is an AI-native governance platform helping organizations discover, assess, govern, monitor, and improve the AI systems and agents they deploy.

Explore the platform
AI systems & agents
  • AI models
  • AI agents
  • APIs
  • Cloud AI
  • Local AI
  • Developer tools
  • Shadow AI
ReguLattice
AI governance layer
  1. Discover
  2. Assess
  3. Govern
  4. Monitor
  5. Evidence
Your organization
  • Risk
  • Policies
  • Monitoring
  • Evidence
  • Compliance
  • Human oversight
Why ReguLattice exists

AI adoption is accelerating. Governance is struggling to keep up.

Organizations are deploying models, copilots, AI applications and autonomous agents faster than traditional governance processes can track them. Each new tool adds data flows and decisions that someone must be able to see, assess and answer for.

ReguLattice provides the governance layer between AI adoption and organizational accountability.

  1. AI adoption
  2. More models
  3. More AI tools
  4. More AI agents
  5. More data and decisions
  6. Greater governance risk
AI everywhere
  • Models
  • Agents
  • APIs
  • Copilots
  • Developer tools
  • Shadow AI
ReguLattice governance layer
Governed AI
  • Inventory
  • Risk assessment
  • Policies
  • Human oversight
  • Monitoring
  • Evidence

You can't govern AI you don't know exists.

ReguLattice starts with visibility. It discovers AI systems, tools and agents across the environment before organizations attempt to assess and govern them.

Unknown AI→Discovered AI→Governed AI
Your environment
AI inventory
ChatGPT Enterprise
Claude Code
Credit-scoring model
Support agent
Personal Gemini key
Local Llama 3
GitHub Copilot
Endpoint :11434
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Approved Known Unknown Shadow AI

Learn more about shadow AI discovery and governance.

Our mission

Make AI accountable, observable, and governable.

Visibility

Know what AI exists, where it operates, what it connects to, and who owns it.

Accountability

Keep people responsible for high-risk AI decisions and actions.

Evidence

Turn governance activity into continuously maintained, audit-ready evidence.

AI governance platform

What is ReguLattice?

ReguLattice is an AI-native governance platform for organizations deploying AI systems and AI agents. It provides visibility into AI usage, assesses AI risk, applies governance controls, monitors AI activity, and maintains evidence mapped to recognized AI governance frameworks.

See how it works, the frameworks it maps to and what an AI governance platform is.

A new layer

Why AI governance needs a new layer

Traditional governance was built for processes and documents. AI systems change, act and multiply continuously. ReguLattice adds the layer designed specifically for AI, and works alongside the governance you already have.

Business & enterprise
Strategy, customers, regulators, auditors
Traditional governance
GRC, policies, risk registers, audits
ReguLattice AI governance layer
Discover · Assess · Govern · Monitor · Improve
AI systems
Models · Agents · Copilots · APIs · Developer tools · Shadow AI
Traditional GRCReguLattice
  • ScopeIT and business processesAI systems, AI tools and AI agents
  • AI discoveryManual registers and questionnairesDiscovery across model APIs, local runtimes, code and developer tools
  • Shadow AIUsually not visibleDetected, given an owner and brought under policy
  • Risk assessmentPeriodic and document-basedPer AI system, including EU AI Act risk categories
  • Runtime monitoringNot designed for AI behaviorContinuous monitoring of AI activity
  • AI agentsNot designed for autonomous actionsPolicy checks on agent actions
  • EvidenceCollected before auditsVerified, continuously maintained, and aged over time
  • Human oversightApproval of documents and exceptionsHuman sign-off on high-risk AI actions
Our principles

What we believe about governing AI

Evidence over assumptions

Governance should be supported by verifiable evidence.

Humans remain accountable

High-risk AI decisions should retain appropriate human oversight.

Continuous over periodic

AI governance should evolve as AI systems and environments change.

Vendor-neutral

Governance should work across different AI models, vendors and technologies.

Local-first

Organizations should have the option to govern AI in customer-controlled environments.

Local-first architecture

Govern AI where your data lives

ReguLattice is designed with a local-first approach, allowing organizations to deploy governance capabilities on customer-controlled infrastructure while connecting to the AI technologies they use. Local deployment is an option, not a requirement: the same governance layer works across local models and cloud AI providers.

Customer-controlled environment
  • Local AI models
  • AI applications
  • AI agents
  • Data sources
  • Developer tools
ReguLattice
Governance layer
Optional cloud AI providers
  • OpenAI
  • Anthropic
  • Google Gemini
  • Other AI providers
Our vision

A future where every AI system is visible and accountable

AI is becoming embedded in applications, workflows and autonomous agents. Static documentation can't keep pace with systems that change every week. Organizations need continuous visibility and governance, so that trust in AI is earned through evidence.

  1. 1AI systems
  2. 2Governance
  3. 3Accountability
  4. 4Trust
FAQ

About ReguLattice, answered

What is ReguLattice?

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ReguLattice is an AI-native governance platform for organizations deploying AI systems and AI agents. It provides visibility into AI usage, assesses AI risk, applies governance controls, monitors AI activity, and maintains evidence mapped to recognized AI governance frameworks. It follows a continuous lifecycle: discover, assess, govern, monitor and improve.

What category of software is ReguLattice?

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ReguLattice is an AI governance platform. It is built specifically for governing AI systems and AI agents, rather than being a general-purpose GRC, cybersecurity or compliance tool.

Who uses ReguLattice?

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Organizations deploying AI systems and AI agents, and the teams accountable for them: compliance, risk, CISOs and security, internal audit, and AI and engineering leaders.

What is shadow AI?

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Shadow AI is AI used inside an organization without being registered, assessed or approved, such as personal AI accounts used with company data, unapproved model API keys or local models. ReguLattice flags it so it can be given an owner, assessed, and approved, replaced or restricted.

How does ReguLattice assess AI risk?

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Each AI system is assessed on its purpose, the data it uses and the decisions it influences, and classified by risk level, including EU AI Act risk categories. Risks are linked to controls and to an accountable owner.

Questions about frameworks, AI agents or deployment? See the platform FAQ.

See what AI governance looks like in practice

Explore how ReguLattice helps organizations discover, assess, govern, monitor, and improve their AI environment.

Explore the platform

ReguLattice — AI governance you can observe and prove.