Traditional GRC
Focuses on compliance and controls.
Enigma
AI Governance for the Autonomous Enterprise
AI is moving beyond applications and copilots toward autonomous systems that can access data, invoke tools, make decisions, and execute work. Enigma gives regulated organizations the intelligence to understand, assess, govern, and continuously control those systems.
The shift
AI Changed the Operating Model. Governance Hasn't.
Traditional governance was designed around a relatively simple relationship:
Traditional model
Applications → Users → Data → Controls
The autonomous enterprise is different.
AI increasingly operates across models, agents, tools, data, applications, workflows, decisions, and actions. That creates a fundamentally different governance challenge.
Autonomous model
Models → Agents → Tools → Data → Applications → Workflows → Decisions → Actions
Organizations need to know
- What AI exists?
- What can it access?
- What can it do?
- What systems can it influence?
- What decisions can it make?
- What controls govern it?
- Where are the gaps?
- What evidence exists?
- Who is accountable?
Enigma was built to answer those questions.
Platform
A Governance Intelligence Platform
Enigma creates an intelligence layer that helps organizations understand the relationship between AI, enterprise systems, data, workflows, controls, and business operations.
Security Platforms
Focus on threats, vulnerabilities, and access.
AI Management Platforms
Focus on models and AI assets.
Enigma
Focuses on the meaning and governance of the entire AI operating environment.
Signals
Six Signals. One Governed View.
Enigma turns technical and organizational facts into business-level governance signals.
Addressable Work
Where AI and automation can meaningfully affect enterprise work.
Operating Path
How work actually moves through systems, processes, automations, and people.
Grounded Answers
What organizational knowledge and evidence exists to support AI decisions.
Automation Collision
Where existing automation, AI, and business rules intersect or conflict.
Access Surface
What systems, data, objects, and permissions AI can reach.
Write-Back Control
What AI or automation can actually change, create, or execute.
Lifecycle
From Discovery to Governance
Discover
Understand the environment.
Interpret
Turn technical facts into business signals.
Assess
Identify governance posture, risk, gaps, and opportunities.
Decide
Determine what should be deployed, controlled, changed, or stopped.
Evidence
Create the evidence required for governance, compliance, and accountability.
Continuous Intelligence
Keep the governance picture current as the environment changes.
Differentiation
Governance Requires More Than Visibility
Visibility tells you what exists. Governance requires understanding what it means.
GRC asks
Are we compliant?
Security asks
Is the environment secure?
Observability asks
What is happening?
AI management asks
What models are deployed?
Control planes ask
How do we manage execution?
Enigma asks
What does the entire environment mean from a governance perspective?
Industries
Built for Environments Where AI Has Consequences
Healthcare & life sciences
Govern AI touching clinical workflows, regulated data, operational systems, and high-consequence processes.
Financial Services
Govern AI influencing customers, financial processes, transactions, risk, and regulated decisions.
Regulated Enterprises
Extend governance across complex environments where accountability, auditability, and control matter.
Partnership
Technology Backed by Expertise
Foundry360
- Strategy
- Governance
- Architecture
- Industry expertise
- Operating models
Enigma
- Governance intelligence
- Assessment
- Continuous understanding
- Evidence
- Operational control
Foundry360 brings the expertise. Enigma operationalizes it. Together, they help organizations move from AI experimentation to governed execution.
Perspective
The Foundry360 Perspective
The future of enterprise AI will not be defined only by increasingly capable models. It will be defined by how organizations govern systems that can reason, act, and operate across the enterprise.
The AI Operating System is Here
When agents can operate software, enterprises need a new orchestration layer. The AI Operating System coordinates models, tools, data, and people—and it is already arriving.
By Foundry360
Read perspective →Why Enterprises Do not Need More AI Models. They Need an AI Orchestration Layer.
The model you choose today may not be the one you want tomorrow. Enterprises need architecture that selects the right intelligence for each task—not dependency on a single provider.
By Foundry360
Read perspective →AI Automation vs. AI Transformation: Why Most Organizations Are Solving the Wrong Problem
Automating existing processes without questioning whether they are still the right ones limits AI's potential. The real opportunity is redesigning how organizations operate.
By Foundry360
Read perspective →
Know What Your AI Can Do Before You Let It.
Enigma helps regulated organizations understand their AI environment before deploying the next generation of autonomous systems.