Agent Identity & Access Security
Secure AI agents with verifiable identities, least-privilege access, and real-time authorization for tools, MCP servers, and enterprise resources
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Secure AI agents with verifiable identities, least-privilege access, and real-time authorization for tools, MCP servers, and enterprise resources
AI agents are rapidly becoming a new class of enterprise identity. Unlike traditional applications or service accounts, autonomous agents make decisions, invoke tools, access sensitive information, and act on behalf of users, services, and other agents.
Legacy IAM platforms authenticate users and applications, but were not designed to establish trust across dynamic agent workflows. Organizations need to know which agent is acting, who owns it, what authority it has, and whether its requested access aligns with its assigned purpose.
PointGuard AI Agent Identity & Access combines cryptographic agent identity, behavioral trust, intent-based authorization, MCP tool controls, and enterprise identity federation in a unified platform purpose-built for autonomous AI.
Market leaders from Gartner have included PointGuard AI in multiple reports on the emerging AI security space.
IDENTITY
Assign every AI agent a decentralized cryptographic identity bound to its owner, purpose, permissions, and operating scope. Ed25519 signatures establish verifiable authenticity while keeping agent credentials distinct from human identities and shared service accounts throughout the complete agent lifecycle.
Issue decentralized identifiers for every agent
Use Ed25519 cryptographic signatures
Bind identity to owner, purpose, and scope
TRUST
Continuously evaluate agent behavior using adaptive trust scores that respond to anomalies and automatically decay when risk increases. Secure, authenticated agent-to-agent communications establish trusted relationships across multi-agent workflows without assuming that every previously approved agent remains trustworthy.
Apply dynamic behavioral trust scoring
Automatically reduce trust when anomalies occur
Authenticate encrypted agent-to-agent communicatio
AUTHORIZATION
Go beyond identity verification by evaluating an agent's assigned purpose, requested action, target resource, user context, and enterprise policy before granting access. Intent-Based Access Control ensures permissions remain aligned with the agent's mission and prevents valid credentials from enabling unauthorized actions.
Validate identity, intent, and context
Enforce least-privilege authorization
Prevent out-of-scope agent access
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ACCESS
Apply granular authorization to MCP tools, APIs, applications, data, and sensitive operations. Policies can distinguish read, write, update, and administrative actions so each agent receives only the capabilities required for its approved task.
Control individual MCP tools and functions
Separate read, write, and update permission
Govern access to enterprise resources
federation
Integrate agent identity with Okta, Microsoft Entra ID, Ping Identity, and other enterprise IAM platforms. Preserve existing users, groups, roles, OAuth policies, and on-behalf-of delegation while extending established identity governance to autonomous AI.
DIntegrate enterprise IAM platforms
Propagate OAuth and delegated identity
Preserve existing users, roles, and policies
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integration
Apply identity and trust controls through lightweight, framework-native hooks that require minimal configuration and no changes to agent logic. Supported integrations include LangChain, CrewAI, OpenAI SDK, Microsoft Agent Framework, Google ADK, LlamaIndex, Haystack, and other popular agent development environments.
Use lightweight framework-native hooks
Avoid changes to agent business logic
Support leading agent frameworks and SDKs
AI agents are rapidly becoming a new class of enterprise identity. Unlike traditional applications or service accounts, autonomous agents make decisions, invoke tools, access sensitive information, and act on behalf of users, services, and other agents.
Legacy IAM platforms authenticate users and applications, but were not designed to establish trust across dynamic agent workflows. Organizations need to know which agent is acting, who owns it, what authority it has, and whether its requested access aligns with its assigned purpose.
PointGuard AI Agent Identity & Access combines cryptographic agent identity, behavioral trust, intent-based authorization, MCP tool controls, and enterprise identity federation in a unified platform purpose-built for autonomous AI.
Clients Words
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