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Cybersecurity 2026 Rank: #3184

C1 ✓

AI-powered access management with intelligent policy-driven controls.

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AI Access Management Policy-Driven Control Enterprise Identity Governance
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AI Tool Provisioning Policy-Based Auto-Approval Identity-Aware MCP Gateway Cybersecurity
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Verdict

A quick read before you dig into the full page.

Best if
AI-powered access management with intelligent policy-driven controls
Skip if
Limited to enterprise-level usage
Pick this when
Policy-driven control

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Overview

The C1 AI Access Management tool, formerly known as ConductorOne, extends enterprise identity governance to AI tools, personal assistants, and enterprise agents, providing policy-driven control over who and what can access MCP-connected tools, data, and actions.

It engages in self-service AI tool provisioning where end users can request access to AI tools and get provisioned rapidly. Policy-based auto-approval or routed human approval is used, eliminating the need for tickets, wait times, or workarounds.

The tool also employs an identity-aware MCP gateway that acts as a policy-aware proxy. This checks permissions, filters sensitive inputs and outputs, and emits full audits while ensuring data protection at the tool-call level.

The C1 tool features agent identity management where AI agents are treated as first-class identities with their own credentials, lifecycle states, and ownership.

Credentials are managed centrally, doing away with potential credential sprawl across devices and AI clients. Fine-grained policy enforcement allows for defining which tools an agent can call, what parameters are allowed, output redaction rules, and approval requirements for privileged operations.

Real-time audit and compliance ensure all tool calls are logged with full identity context. The C1 AI Access Management tool adapts policies to role, department and context, aligning with various identity use cases.

C1 website

Access & connections

Where you can use C1, and what it plugs into.

Platforms

Web

Integrations

MCP

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular

Output

  • API

Supported features

  • Cybersecurity

Pros & cons

Pros

  • Policy-driven control
  • Rapid provisioning of access
  • Identity-aware MCP gateway
  • Agent identity management
  • Fine-grained policy enforcement
  • Real-time audit and compliance
  • Adapts policies to role
  • Data protection at tool-call level
Show 27 more
  • Central credential management
  • Limits credential sprawl
  • Defines allowable agent operations
  • Output redaction rules
  • Approval for privileged operations
  • Contextual policies
  • Role-based policies
  • Department-based policies
  • Integrates with enterprise agents
  • Sensitive input/output filter
  • Provisioning without tickets or waits
  • Automated access decisions
  • Enforces least privilege
  • Covers all tool calls
  • Policies adapt to context
  • Personal assistants as identities
  • Managed secret credentials
  • Instant credential revocation
  • Automated evidence generation
  • Contextual, policy-driven provisioning
  • Reduced standing privileges
  • Custom identity workflow automations
  • Identity at scale management
  • Single platform for identity use-cases
  • Evidence for GDPR, HIPAA compliance
  • Shared agents governance
  • Automatic credential rotation

Cons

  • No local deployment option
  • Potential latency in provisioning
  • Limited fine-grained policy options
  • No direct user management
  • Restricted to MCP environment
  • Rigid context-based policies
  • Lack of integrated single sign-on
  • Limited to enterprise-level usage
Show 1 more
  • Requires prior identity governance

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Releases 1

Initial release March 19, 2026 Current
Initial release of C1.

FAQ 12

What is the C1 AI Access Management tool?
The C1 AI Access Management tool is a system that extends enterprise identity governance to AI tools, personal assistants, and enterprise agents. It allows for policy-driven control over who and what can access MCP-connected tools, data, and actions. It features self-service provisioning, policy-based auto-approval, an identity-aware MCP gateway, agent identity management, comprehensive policy enforcement, and real-time audit and compliance.
How does C1 extend enterprise identity governance to AI tools, personal assistants, and enterprise agents?
C1 extends enterprise identity governance to AI tools, personal assistants, and enterprise agents by providing policy-driven control over access. This control governs access to MCP-connected tools, data, and actions. The tool allows end users to request access to AI tools and have this access provisioned quickly, with policy-based auto-approval or human approval eliminating traditional bottlenecks.
How does the policy-driven control in C1 work?
In the C1 tool, policy-driven control is implemented through functions like policy-based auto-approval and an identity-aware MCP gateway. The MCP gateway acts as a policy-aware proxy, checking permissions and filtering sensitive inputs and outputs. This offers protection at the tool-call level. Policy-based auto-approval allows for swift provisioning of AI tools to end users.
What is self-service AI tool provisioning in C1?
Self-service AI tool provisioning in C1 allows end users to request access to AI tools and become provisioned quickly. This mechanism aims at reducing wait times and workarounds usually associated with traditional ticket-based systems.
How does policy-based auto-approval or routed human approval in C1 eliminate the need for tickets, wait times, or workarounds?
Policy-based auto-approval or routed human approval in C1 eliminates the need for tickets, wait times, or workarounds by providing a fast and efficient process. Once a user requests access to an AI tool, their request is either automatically approved based on the predefined policy or sent to the relevant human operator for authorization. This cuts out the traditional, time-consuming approval processes.
What does the identity-aware MCP gateway in C1 do?
The identity-aware MCP gateway in C1 acts as a policy-aware proxy, managing every AI tool call. It's responsible for authenticating agents, checking permissions, filtering sensitive inputs and outputs, emitting full audit events, and ensuring data protection.
How does C1 treat AI agents as first-class identities?
C1 treats AI agents as stand-alone identities by giving them their own credentials, lifecycle states, and ownership. This elevates AI agents, treating them with the same rigorous governance as human users.
How are credentials managed in C1?
In C1, credentials are managed centrally, preventing potential credential sprawl across devices and AI clients. This central management of credentials offers improved control to organizations.
What is the purpose of fine-grained policy enforcement in C1?
Fine-grained policy enforcement in C1 serves to regulate AI tool usage. It allows defining which tools an agent can call, what parameters are allowed, output redaction rules, and approval requirements for privileged operations.
How does the C1 AI Access Management tool ensure real-time audit and compliance?
C1 ensures real-time audit and compliance by logging every AI tool call with full identity context. This allows all tool usage to be monitored and reviewed, making audit and compliance procedures more effective and enforceable.
How does the C1 AI Access Management tool adapt policies to role, department and context?
C1 adapts policies to role, department, and context, allowing for a tailored approach to identity management. This intelligent adaptation aligns with various identity use cases, providing relevant and effective governance.
How does the C1 AI Access Management tool protect identity?
C1 protects identity by employing several measures, including a policy-driven MCP gateway that authenticates agents and checks permissions, a central credential management system, and comprehensive real-time auditing that logs every AI tool call.
C1
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