GovernorAIby SentinelLayer Request a briefing
Find and qualify
Discovery & Shadow AIInventory the AI activity nobody registeredAssuranceEvaluate an agent snapshot before production
Decide and enforce
Policy & GovernanceOne policy, from intent to evidenceRuntime EnforcementDecide at the action boundaryInference & Model GovernanceGovern the model call itselfGovern EverywhereOne policy across your AI stack
Prove and observe
Evidence & ComplianceHash-chained audit record, mapped to controlsDecision ObservabilitySee the decision behind the action
Risk and security
RiskScore the action, and act on the scoreContainmentAgent-scoped kill switchesSecurity architectureHow the control plane itself is built
By persona
SecurityPer-call authorization and stop controlsGRCEvidence chains and control mappingPlatform & AI EngineeringGovern without touching the agent
By risk
Shadow AIUnmanaged agents and connectionsData leakageIn prompts, completions and tool callsDestructive actionsChanges to systems of record
By platform
AWS BedrockInbound path, guardrail syncServiceNowWorkflow check, before-write ruleSalesforceNative action gate, governed API routeMCPRegistry, proxy, argument-aware inspection
By cloud and runtime
AzureConnect, discover, govern at the gatewayGoogle CloudValidated connect mode, bootstrap sessionDatabricksModel Serving, egress, agent SDKKubernetes & sidecarIn your cluster, on the agent host

Company / The company behind GovernorAI

Built for the peopleaccountablefor AI.

GovernorAI connects assurance, policy and runtime control—so enterprises can put AI agents to work without giving up authority over what happens next.

Talk with the founders Meet the team
  • Santa Clara, California
  • NVIDIA Inception member
  • Patent pending — 2 U.S. provisional applications, 66 claims

Mynul’s prior leadership experience

Viasat

Highly regulated satellite communications

Government and commercial customers

IBM Public Cloud

Highly regulated public-cloud platform

Fintech · Healthcare · Government · Aviation

Mercado Bitcoin / 2TM

Regulated fintech and digital assets

Global CTO & EVP of Engineering

Cisco

Cloud, networking and security

Engineering and architecture leadership

Why we exist

AI moved from answers to actions. Governance must move with it.

A written policy is only the beginning. When an agent can access a model, invoke a tool, move data or change a production system, that policy needs to become an operating control.

Our team pairs experience in highly regulated enterprises with hands-on systems engineering. We built GovernorAI to connect the review before release, the decision at runtime and the evidence afterward.

More useful autonomy. Clear human authority.

The founders

Two generations of systems engineering.

The people accountable for what we build. Enterprise leadership and architecture, paired with the engineering that makes governance work in real systems.

Mynul Hoda

Mynul Hoda

Founder, CEO & CTO

Enterprise leadership & architecture

Mynul brings 25+ years building and leading software, cloud, security and AI platforms. At Viasat, he was President of Software & Platform Engineering, leading a global organization of 850+ engineers and serving as Executive Sponsor for AI Governance.

His operating experience includes Viasat’s highly regulated satellite communications business, including government customers, and IBM Public Cloud—a highly regulated platform serving fintech, healthcare, government and aviation customers.

He was also Global CTO & EVP of Engineering at Mercado Bitcoin / 2TM, with earlier engineering and architecture leadership at Cisco. At GovernorAI, he combines company leadership with hands-on platform architecture.

850+Engineers led at Viasat
25+Years in enterprise technology
Security engineering, in practice

Mynul earned CCIE certifications in Routing/Switching and Security, and CISSP. His Cisco Press work reflects a background in security architecture, troubleshooting and operational resilience.

Author of Cisco Network Security Troubleshooting Handbook (opens in a new tab), published by Cisco Press.

Mynul on LinkedIn (opens in a new tab)Cisco Press author (opens in a new tab)
Rayaadh Hoda

Rayaadh Hoda

Co-Founder & VP of Engineering

Runtime systems & developer experience

Rayaadh leads GovernorAI’s platform engineering, runtime systems and SDKs. He builds the services and developer integrations that connect policy decisions to agent execution.

His work includes Go-based execution and control-plane services, audit-ledger and kill-switch components, and automated deployment tooling. His earlier engineering spans bare-metal C/C++ firmware and hardware-test automation.

That systems background shapes his approach to agent governance: predictable behavior, reliable controls and integrations developers can use in the code they already run.

GoExecution & control-plane services
SDKsGovernance inside existing code
From low-level systems to AI platforms

At Array Technologies, Rayaadh worked on automated hardware-test reporting and deployment pipelines. At San Jose State University, his work included agentic applications, ingestion services and evaluation pipelines.

He holds a B.S. in Computer Science from Arizona State University. His engineering background spans embedded firmware, backend services and developer tooling.

Rayaadh on LinkedIn (opens in a new tab)Explore the engineering

Our design conviction

Independence is the product.

Your organization sets the policy. Your agents and platforms keep doing the work. GovernorAI brings a separate governance layer to the decisions that matter.

Control should follow your business—not the boundary of a vendor’s stack.

01 /

Keep authority independent.

A model can propose an action. It should not grant itself permission. Put policy and authorized human oversight in control of consequential execution.

02 /

Make control explicit.

Define what can run, what needs approval and what must stop. Make the enforcement point and its behavior clear enough to test before relying on them.

03 /

Produce evidence as you govern.

Connect governed actions to their decisions, the policy that matched and the human responses. Give reviewers a record to examine—not a story reconstructed later.

The conviction becomes a platform

From discovery to governed production.

One connected governance lifecycle for models, MCP tools and agent actions.

01

Discover

Find AI activity across connected sources.

02

Assure

Assess quality, economics and controls.

03

Govern

Turn business intent into reviewable policy.

04

Enforce

Apply policy at the action boundary.

05

Prove

Preserve the decision and its evidence.

Stronger control on the platform you use today. Consistent governance as your stack grows.

Bring action limits, approval rules and reviewable evidence alongside your existing native controls. Expand the same governance approach across clouds and platforms as you grow.

Explore integration capabilities

Inspect the work

A company story is a starting point. Look under the hood.

Read the engineering, review the controls and bring your questions to the founders.

For security teams

Security posture, in writing.

Deployment options, data handling, access controls and configuration requirements.

Trust & security

For reviewers

Evidence tied to decisions.

The governance record, policy lineage and verification model behind a review.

Evidence & compliance

For platform teams

Control where you operate.

See the enforcement paths and control outcomes available for your integration.

Integration capabilities

Build with us · Design partner program

One real workflow. A direct line to the builders.

Bring a consequential agent workflow to a 30-minute founder briefing. Discuss scope, integration fit and success criteria—then decide together whether a scoped six-week evaluation is the right next step.

Request a founder briefing How the program works →

Mynul + RayaadhIn the working sessions, not behind a handoff.

  1. 01

    Choose one workflow.

    Agree on scope and written success criteria.

  2. 02

    Begin read-only.

    Evaluate before enabling enforcement with your approval.

  3. 03

    Decide on the evidence.

    Review the result together and choose the next step.

Continue

DevelopersSDKs, integration paths and the benchmark method Trust & securityDeployment, data handling and access controls Evidence & ComplianceHash-chained audit record, mapped to controls IntegrationsPlatforms and enforcement points Platform overviewFive stages, seven product surfaces, one policy object Design partnersOne workflow, a scoped evaluation