Every AI connection to your enterprise, governed.

The enterprise registry and control plane for AI tool calls. Authenticate, authorize, enforce policies, and audit every interaction between AI agents and your infrastructure.

88%
of organizations reported confirmed or suspected AI agent security incidents in the past year1
72%
cannot trace AI agent actions back to a human sponsor across all environments2
$4.9M
average cost of a data breach — with AI-related incidents trending higher year over year3
NIST
launched the AI Agent Standards Initiative in Feb 2026 — signaling governance is now a regulatory priority4

1 Gravitee, "State of AI Agent Security 2026"  •  2 CSA & Strata Identity, "AI Agent Identity Crisis Survey 2026"  •  3 IBM, "Cost of a Data Breach Report 2024"  •  4 NIST, "AI Agent Standards Initiative 2026"

Trusted by enterprises worldwide

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PeriMind was born when Cinchy realized their Data Collaboration Platform gave AI agents powerful access to enterprise data — but no governance layer to control it. That missing layer became PeriMind: a fully independent product that works with any agent, LLM, or tool ecosystem. Learn more ↓

AI is opening more points of risk in your infrastructure.

It's not theoretical. The adoption pace is accelerating. Copilots, agents, developer tools and more are likely already making tool calls into your databases, APIs, mission critical systems and your cloud infrastructure. PeriMind enables AI adoption safely, gives you a way to see it, control it and ultimately realize its benefits with dramatically reduced risk.

AI Assistants & Copilots

Connected to your enterprise data through MCP servers, skills, CLI tools, and custom integrations.

A sales copilot auto-populating proposals pulls full client pricing history from your CRM — including competitor-sensitive contract terms an employee wouldn't normally access.

Autonomous Agents

AI agents that chain multiple tool calls, make decisions, and take actions across systems with delegated authority.

A fintech reconciliation agent flags a discrepancy and autonomously initiates a wire reversal — without human approval on a transaction that exceeds policy thresholds.

Developer & IDE Tools

AI coding tools with filesystem access, terminal execution, and API integrations.

A developer's AI assistant indexes the entire repo to answer a question — inadvertently caching API keys, database credentials, and internal service endpoints in its context window.

The common thread: they all make tool calls. Every tool call to an MCP server, skill, CLI, or API is a potential unaudited, ungoverned connection between AI and your systems.

Traditional security wasn't built for this.

Your existing security stack handles network threats, identity, and data loss. But AI tool calls represent an entirely new attack surface that falls through the cracks.

Firewall / WAF

Operates at network layer. Cannot inspect tool call semantics, intent, or AI reasoning chains.

IAM / SSO

Authenticates the human, not the AI agent. Cannot enforce per-tool, per-action permissions for AI.

CASB

Governs cloud app access but is blind to tool-level interactions happening within approved apps.

DLP

Pattern-matches data in transit but cannot understand contextual appropriateness of AI data access.

SIEM

Aggregates events after the fact. No prevention, no real-time policy enforcement on tool calls.

Which AI agents are connecting to which systems?

What tool calls are they making — and why?

Are tool calls authorized by policy — or just by default?

Can you audit every AI interaction with your data?

Who is accountable when an AI agent causes a breach?

If you can't answer these questions confidently, you have a governance gap.

Regulatory pressure is building. From the EU AI Act to SEC cyber disclosure rules and SOC 2, organizations need demonstrable controls over AI-system interactions. In February 2026, NIST launched the AI Agent Standards Initiative — establishing security, identity, and interoperability as formal requirements for autonomous AI. PeriMind provides the audit trail, policy enforcement, and governance framework that compliance and regulatory programs demand.

PeriMind closes the governance gap.

A purpose-built control plane for AI tool calls — covering policy enforcement, federated governance, threat mitigation, and compliance-ready audit trails.

One destination. Multiple starting points.

Every stage is a valid entry point — PeriMind meets you where you are.

1

Exploring

AI tools in use — no visibility into what connects or what it accesses.

2

Aware

Some awareness of AI connections. Tool calls are opaque. Can't answer a compliance question.

3

Blocked

Broader rollout blocked by security or compliance. No governance layer to approve through.

4

Exposed

AI running in production without supply chain checks, kill switches, or content inspection.

5

Scaling

Agents in production, audit coming. Need evidence governance is working across teams.

Wherever you are, PeriMind gets you to governed AI in days — not months.

Most customers start with one application. PeriMind immediately surfaces which agents and LLMs are making calls, what they're accessing, and enforces policies that catch errant behavior before it causes damage. Give us one application and a day — we'll show you what your agents are really doing.

Three steps to governed AI.

PeriMind deploys alongside your existing infrastructure. No rip-and-replace. Start governing in days, not months.

1

Discover & Register

Connect PeriMind to your infrastructure. It discovers existing AI tool endpoints, catalogs their tools, and maps the connections AI agents are already making.

2

Define & Enforce Policies

Set up your governance hierarchy. Start with enterprise-wide rules, then let domain owners add their layer. Policies enforce automatically at runtime.

3

Monitor & Scale

Full visibility into every AI interaction. Audit trails for compliance. Scale from pilot to enterprise-wide deployment with federated governance.

Ready to govern your AI connections?

Get a demo of the PeriMind control plane and see how enterprise AI governance works in practice.

Born from a real problem. Built as an independent product.

PeriMind was created by Cinchy after a clear realization: their Data Collaboration Platform gave AI agents powerful, real-time access to enterprise data — but there was no governance layer controlling what those agents could do with it. That missing layer became PeriMind.

PeriMind is a fully independent product. It works with Cinchy DCP, but it works equally well with any enterprise agent, LLM, or tool ecosystem. If your AI makes tool calls, PeriMind governs them — regardless of the underlying platform.

PeriMind

The governance and control plane for AI tool calls. Works with any AI agent, copilot, or LLM that connects to your systems — no dependency on any specific data platform.

  • Tool Endpoint Registry & Policy Engine
  • Runtime Enforcement & Audit Trail
  • Agent Identity & Reasoning Capture
  • Works with MCP, Skills, CLI, APIs

Cinchy DCP

The Data Collaboration Platform that gives AI agents governed access to enterprise data. Pairs naturally with PeriMind, but each product stands on its own.

  • MCP Server for Enterprise Data
  • Row & Column Level Security
  • Zero-Copy Data Virtualization
  • 8 Years of Data Governance

No lock-in. PeriMind governs tool calls from ChatGPT, Claude, Gemini, custom agents, IDE copilots, or any LLM — whether or not Cinchy DCP is in your stack.