Copilots, agents, and developer tools are already making tool calls into your databases, APIs, and cloud infrastructure. PeriMind lets you see it, control it, and adopt AI safely.
Connected to your enterprise data through MCP servers, skills, CLI tools, and custom integrations.
AI agents that chain multiple tool calls, make decisions, and take actions across systems with delegated authority.
AI coding tools with filesystem access, terminal execution, and API integrations.
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.
of organizations reported confirmed or suspected AI agent security incidents in the past year1
cannot trace AI agent actions back to a human sponsor across all environments2
average cost of a data breach - with AI-related incidents trending higher year over year3
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"
Your existing security stack handles network threats, identity, and data loss. But AI tool calls are an entirely new attack surface that falls through the cracks.
Cannot inspect tool call semantics, intent, or AI reasoning chains.
Authenticates the human, not the AI agent. No per-tool permissions for AI.
Blind to tool-level interactions happening within approved apps.
Cannot understand contextual appropriateness of AI data access.
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 confidently, you may have a governance gap.
Regulatory pressure is building. From the EU AI Act to SOC 2, organizations need demonstrable controls over AI-system interactions. NIST launched the AI Agent Standards Initiative in Feb 2026 - governance is now a regulatory priority.
A purpose-built control plane for AI tool calls - covering policy enforcement, federated governance, threat mitigation, and compliance-ready audit trails.
Every AI tool call - authenticated, authorized, policy-checked, and audited.
Three-tier policy hierarchy that balances central control with domain autonomy.
A published threat matrix with honest gap assessment - 92% of in-scope threats addressed.
PeriMind was born when we realized our 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 ↓
Every stage is a valid entry point - PeriMind meets you where you are.
AI tools in use - no visibility into what connects or what it accesses.
Some awareness of AI connections. Tool calls are opaque. Can't answer a compliance question.
Broader rollout blocked by security or compliance. No governance layer to approve through.
AI running in production without supply chain checks, kill switches, or content inspection.
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 surfaces which agents 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.
PeriMind deploys alongside your existing infrastructure. No rip-and-replace. Start governing in days, not months.
Connect PeriMind to your infrastructure. It discovers AI tool endpoints, catalogs their tools, and maps the connections agents are already making.
Set up your governance hierarchy. Start with enterprise-wide rules, then let domain owners add their layer. Policies enforce automatically at runtime.
Full visibility into every AI interaction. Audit trails for compliance. Scale from pilot to enterprise-wide with federated governance.
Get a demo of the PeriMind control plane and see how enterprise AI governance works in practice.
We created PeriMind after a clear realization: our 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.
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.
The Data Collaboration Platform that gives AI agents governed access to enterprise data. Pairs naturally with PeriMind, but each product stands on its own.
No lock-in. PeriMind governs tool calls from ChatGPT, Claude, Gemini, custom agents, IDE copilots, or any LLM.
