Keycard

Categories: Cybersecurity, Automation / Agents, Coding & Developer Tools | Pricing: Freemium | Official Website ↗

Keycard provides a control plane for autonomous AI agents, managing access to tools, APIs, and data with identity, policy, and audit trails.

Keycard acts as a control plane for autonomous AI agents, enabling organizations to manage and secure agent interactions with various resources. It ensures that agents only access the tools, APIs, and data they are authorized to use, preventing unauthorized access to sensitive information like PII. The platform provides a comprehensive audit trail of every agent action, tool call, and policy decision, enhancing visibility and compliance. The system works by resolving a composite identity for each agent action, enforcing policies at runtime, and issuing short-lived, task-scoped credentials. This approach eliminates the need for long-lived API keys and ensures that credentials are bound to specific tasks and identities. Keycard integrates with existing identity infrastructure and streams real-time event data to SIEM systems for continuous monitoring and compliance.

Key Features

Control agent access to tools, APIs, and data
Real-time audit trail of agent actions
Composite identity resolution (user + device + agent + task)
Runtime policy enforcement at the access gate
Task-scoped, short-lived credentials
Real-time event streaming to SIEM (Splunk, Datadog)
SDK for integrating with agents and MCP clients
CLI for governing coding agents (shell, scripts, MCP tools)

Pros

Provides granular control over AI agent access to resources
Generates a tamper-resistant audit trail for compliance
Eliminates long-lived, over-permissioned API keys
Prevents PII exposure by blocking unauthorized data access
Offers flexible policy evaluation and instant rollback

Cons

Requires integration into existing agent workflows
Pricing scales with transaction volume, potentially costly for high usage
Enterprise features like private networking and BYO KMS are not available on lower tiers
Early access program suggests ongoing development
Complexity of policy definition might require expertise

Use Cases

Securing coding agents accessing production systems
Governing agent access to customer PII in databases
Auditing every tool call and data access by AI agents
Enforcing least-privilege access for AI-driven automation
Integrating secure authentication into multi-agent applications

Best For

Organizations building and deploying autonomous AI agents
Security teams needing visibility and control over agent actions
Developers integrating agents with sensitive APIs and data
Companies requiring compliance for AI agent operations
Enterprises adopting agentic tools across departments

Integrations: Okta SSO, Datadog, Linear, GitHub, Splunk, Google Calendar, Salesforce, Notion, AWS S3, Active Directory

Platforms: Web, CLI

Watch demo on YouTube ↗

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