Data governance best practices are changing.
Every time an AI agent queries a database, accesses sensitive information, executes a workflow, invokes an API, modifies a system, or makes a decision on behalf of a user, a new governance challenge is created.
Organizations are quickly discovering that traditional security and governance tools were not designed for this reality.
They can govern people.
They can govern applications.
They can govern data.
But they struggle to govern the actions AI systems take across enterprise environments.
This is the governance gap. And it's growing every day.
Why Enterprises Need a Control Plane for AI
As AI adoption scales, enterprises face a growing number of challenges:
Visibility
Teams often don't know which AI agents are connected to which systems.
Control
AI actions are frequently governed by default permissions rather than explicit policies.
Accountability
Organizations struggle to determine who is responsible for AI-driven actions and outcomes.
Compliance
Emerging regulations increasingly require demonstrable governance and auditability of AI interactions.
Trust
Business leaders want to move faster with AI, but security and compliance teams need assurance that risks are being managed.
PeriMind addresses these challenges through a unified AI connectivity and control plane that governs every AI action across the enterprise.
Connections are multiplying, but controls aren't keeping up.
AI Connections
Governance Controls
AI adoption is accelerating, and governance capabilities are falling behind.
From AI Governance to AI Action Governance
The first generation of AI governance focused on governing models. The next generation must focus on governing actions.
Models
Prompts
Policies
Documentation
Stops Here ↓
What systems can AI access?
What actions is AI taking?
Who approved those actions?
Can they be audited?
Who is accountable?
Connections
Permissions
Actions
Auditability
Accountability
Covers every interaction:
Governance should follow every action AI takes.
Built by the team that understands governance.
The future of AI governance won't be built by organizations that simply understand AI. It will be built by organizations that understand governance.
For years, Cinchy has helped enterprises manage access, security, compliance, and control across complex data environments. That experience shaped how we think about AI.
We believe organizations should not have to choose between innovation and governance. They should be able to move quickly while maintaining visibility, accountability, and control.
And it's why we're bringing that same governance-first approach to AI.
~10 yrs
Enterprise governance experience
44
AI threat techniques mapped
The Insight That Changed Everything
For nearly a decade, Cinchy has helped some of the world's largest organizations govern and control access to enterprise data. Financial institutions, insurers, and regulated enterprises trusted Cinchy to help manage their most critical information assets.
Data Governance
Cinchy pioneered enterprise data collaboration, helping organizations govern access to critical data assets.
AI Adoption Accelerates
Organizations began spending enormous effort governing data access - but had little visibility into how AI systems were using that access once granted.
New Governance Gap Emerges
AI agents could connect, access, invoke, and act - yet there was no consistent governance layer sitting between AI and the enterprise. The missing layer was control.
PeriMind Created
We realized enterprises needed a governance and control plane for AI itself. That realization became PeriMind.
The Future of Enterprise AI
AI adoption will continue to accelerate. The organizations that succeed won't be the ones that deploy AI the fastest. They'll be the ones that scale AI responsibly.
AI Tools
Copilots, assistants, and developer tools connecting to enterprise systems.
AI Agents
Autonomous agents making decisions, chaining actions, and operating across systems.
Autonomous Enterprises
AI-driven operations at scale, requiring governance that's as sophisticated as the systems it protects.
PeriMind governance layer spans all stages
The ones that build trust. The ones that establish governance before risk becomes exposure. The ones that can answer not only what their AI is capable of - but what it is actually doing.
PeriMind helps organizations govern every AI action so they can adopt, scale, and trust AI across the enterprise.