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Ping Identity Ping ID Integration with PointGuard AI

PointGuard ASPM consolidates data from the Ping Identity IAM tool, along with many other sources, providing risk-based prioritization and remediation

Extends Ping Identity to autonomous AI agents

Ingests data from Ping Identity Ping ID

Establishes trusted cryptographic identities for agents

Consolidates and deduplicates findings

Secures delegated OAuth and OBO authorization

Normalizes scoring and correlates events

Governs MCP tool access with centralized policies

Prioritizes critical threats based on business context

Automates notification, ticketing, and remediation

See It In Action

The PointGuard platform ingests IAM data from Ping Identity Ping ID and aggregates it with security data from hundreds of other vendors. The solution automatically consolidates and deduplicates findings to reduce noise. Risk scoring is normalized across tools, and threats are correlated across attack surfaces.

PointGuard’s advanced contextual risk scoring prioritizes all results factoring in your business context. This includes, but goes far beyond traditional CVSS scoring, prioritizing the most critical vulnerabilities based on severity, exploitability, asset criticality, data classification, and network exposure. The results can eliminate more than 95% of noisy, redundant, and non-critical issues, so you can focus on what matters most.

PointGuard’s intuitive dashboard provides both executive summaries and technical views allowing you to drill-down and see the details or roll-up views across applications, business units or organizations.

Using data from Ping Identity and other third-party products, PointGuard also maps software dependencies across the entire application hierarchy including libraries, microservices, applications, and hosts.

For more information about our integration with Ping Identity Ping ID please contact our product experts or schedule a live demo.

PointGuard AI integrates with Ping Identity to provide identity-driven security for autonomous AI agents and agentic applications. As organizations deploy AI agents that interact with enterprise systems, business applications, APIs, and data sources, those agents require the same trusted authentication, authorization, and policy enforcement used to secure human users.

Together, PointGuard AI and Ping Identity establish a unified identity framework for AI. PointGuard AI's Agent Mission Control and MCP Gateway leverage Ping Identity's authentication and authorization capabilities while extending them with agent-specific identities, delegated authorization management, runtime governance, and fine-grained control over AI tool access. The result is a Zero Trust architecture that enables organizations to safely deploy AI agents without expanding their attack surface.

By combining PointGuard AI with Ping Identity, customers can:

  • Extend Ping Identity authentication and authorization policies to AI agents, agentic workflows, and Model Context Protocol (MCP) environments
  • Use PointGuard AI's MCP Gateway and Agent Mission Control to enforce enterprise identity policies whenever AI agents access applications, APIs, databases, and connected tools
  • Generate unique cryptographic identities for every AI agent and synchronize those identities with Ping Identity to simplify lifecycle management, trust establishment, and policy enforcement
  • Apply granular authorization policies for individual MCP tools and services through the PointGuard AI MCP Gateway, while integrating with Ping Identity groups, roles, and adaptive access controls
  • Secure OAuth tokens, delegated credentials, and On-Behalf-Of (OBO) authorization by allowing Agent Mission Control or Ping Identity to manage token issuance, validation, refresh, and revocation
  • Ensure AI agents inherit only the permissions of the requesting user, preventing privilege escalation during autonomous task execution
  • Continuously validate identity context, delegated permissions, and runtime behavior before allowing sensitive actions to execute
  • Capture comprehensive audit records of agent authentication, delegated authorization, tool usage, and policy decisions to support governance, compliance, and forensic investigations
  • Detect excessive privileges, unauthorized tool access, identity misuse, and credential abuse before enterprise resources are exposed
  • Unify identity governance for users, AI agents, applications, and connected services under a common security architecture that supports Zero Trust principles

PointGuard AI and Ping Identity provide organizations with a comprehensive identity foundation for enterprise AI. By combining trusted authentication, cryptographic agent identities, adaptive authorization, secure delegated access, and granular MCP governance, organizations can confidently scale autonomous AI while maintaining strict control over identities, permissions, and business-critical resources.

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