Secure AI access
in seconds
Self-service access to every AI tool, agent, and MCP for your team. Full governance for security.
Faster access. Full audit.
Seconds
from request to tool call
100%
audit coverage on every MCP tool call
Zero
standing privileges for AI agents
Govern at AI speed
Self-service MCP access in Slack, Cursor, or CLI
Your team gets the tools they need without filing a ticket. Request access from inside Claude Code, Cursor, or Slack — policy auto-approves in seconds. Works with any MCP server, any auth model.
Real-time policy on every MCP tool call
Stop risk before it runs, not after. An identity-aware gateway enforces tool allowlists, parameter restrictions, and output redaction inline — and steps up for sensitive actions. Hardens against tool poisoning, confused-deputy attacks, and supply-chain MCP risk.
Audit-ready by default
Every MCP tool call logged with full identity context. Stream to S3, SIEM, or SOAR. Audit trails fit for every compliance framework your team runs.
Agents governed as first-class identities
Personal AI assistants act under the human's identity. Enterprise agents run as C1 Service Principals — with owners, role assignments, and access reviews — so you govern AI the same way you govern humans.
Every tool. One control plane.
AWS · Azure · GCP · Google Workspace · GitHub · Okta · Salesforce · Stripe · Slack · Jira · Zendesk · PagerDuty · Datadog · Snowflake · Atlassian · Box · Zoom · ServiceNow · Workday · Notion
Plus every other SaaS your team uses — or any MCP server your team built.
Built different, by design.
Pre-classified tools, out of the box.
Every tool in every integration ships with a risk class. Auto-approve reads. Require approval for writes. Deny destructive. No manual configuration required.
Identity and access mutations stay governed.
If a tool would grant permissions or modify roles, it routes through C1's governance engine — your approval workflows intact, your audit trail unified.
A gateway stops the call.
C1 governs it.
Standalone MCP gateways can block a tool call. They can't tell you who made it, what they're entitled to, or how it fits your broader security posture.
C1 is identity infrastructure. Humans, machines, and agents on one graph with one policy engine and one audit trail.
What separates C1 from MCP gateways?
Real workflows. Real results.
No ticket. No detour. No delay.
A developer needs Snowflake access while debugging in Cursor. They request it in Slack. Their manager approves in one tap. The agent connects in seconds.
Five analysts. One seat. Full audit.
Scope one vaulted credential to specific tools and share it across five users. Every call audited individually. Thousands saved per role per year on licensing alone.
Shadow AI under one policy.
78% of employees use AI tools you didn't approve. Route their MCP access through C1 instead of around it — one policy engine for every tool call, no matter the client.
Simple set up.
Built to scale.
Register your MCP servers.
Pick from the C1 catalog, paste a URL for any native MCP, or bring your own — running in your cloud or on-prem.
Group tools into access profiles.
"Salesforce Read-Only for Sales." "Snowflake Production Queries." These become the units your team requests — and your policies govern.
Set policy per profile.
Auto-approve reads. Self-approval in Slack for writes. Manager approval for sensitive actions. Deny destructive. Per role, department, or agent.
Ship.
Users request from Claude Code, Cursor, Slack, or CLI. Access provisions in seconds. Every call logged. Every entitlement surfaces in standard access reviews.
Your data stays where it is.
Custom MCP servers and on-prem APIs, connected to C1 through a single outbound tunnel. No inbound firewall changes. No VPN. No certificate management.
Trust verified continuously. Revocation in real time.
No VPC to deploy. No on-prem control plane to maintain. No upgrade windows. Just your data, on your network, reachable from C1.
FAQs
Ship AI without shipping risk.
Latest on the platform
Blog
Audit Proofing Your AI Implementation
Brad Thies (BARR Advisory) and Will Bengtson (C1 CISO) on how to govern AI adoption without slowing it down: access, risk, documentation, and the frameworks that actually matter.
