Singapore – Ping Identity announced new integrations with Amazon Web Services (AWS), Google Cloud, and Cloudflare that extend its Runtime Identity capabilities into cloud and edge environments where artificial intelligence (AI) agents are developed, deployed, and operated.
The company said the integrations are designed to provide continuous authorisation and policy enforcement for AI agents as organisations expand AI-driven operations across distributed environments.
According to Ping Identity, security teams increasingly require visibility into what AI agents can access, the actions they perform, and how those actions are governed in real time. The company’s Runtime Identity approach extends identity and access controls beyond initial authentication to include continuous authorisation and enforcement.
“Organisations want to move faster with AI, but they can’t afford to lose visibility or control as AI agents begin operating autonomously across cloud and edge environments,” said Andre Durand, CEO and Founder of Ping Identity. “These integrations help bring continuous authorisation and real-time policy enforcement into the environments where AI agents are being built and deployed.”
Ping Identity noted that AI agents often operate across multiple platforms, cloud environments, and identity boundaries. These agents may invoke tools, access APIs, interact with agent gateways and Model Context Protocol (MCP) servers, and connect to data and services located at the edge.
The company said it is extending Runtime Identity into these execution environments to help enterprises authorise agent actions, enforce policies, and monitor activity where AI agents operate. The initiative is part of Ping Identity’s broader Identity for AI strategy, which focuses on establishing trusted identities and governance controls for AI agents across distributed systems.
On AWS, Ping Identity said it works as a Security Competent Independent Software Vendor (ISV) partner to help secure AI agents built on services such as Amazon Bedrock AgentCore and other intelligent automation workloads.
The company said the integration enables organisations to establish trusted identities for AI agents, enforce delegated least-privilege access when agents interact with APIs and tools, and align agent activities with enterprise policies governing sensitive data and regulated workloads.
“Production AI workloads require identity and authorisation controls that can adapt dynamically as agents interact across cloud environments,” said Hart Rossman, VP of Security and Infrastructure at AWS. “Together, AWS and Ping Identity help customers apply delegated access and real-time governance controls across AI-driven workloads operating at enterprise scale.”
Ping Identity also announced support for Google Cloud Agent Gateway. Through the integration of PingOne Authorize into Agent Gateway workflows, enterprises can authenticate agents using delegated identities linked to users or systems, apply granular authorisation policies to agent and tool interactions, and centralise authorisation management.
The company said the integration also provides visibility into the users, agents, tools, and policies involved in runtime authorisation decisions.
For Cloudflare, Ping Identity said it is extending identity enforcement capabilities to edge environments where AI agents interact with public and private data, services, and distributed infrastructure.
The partnership builds on the companies’ existing Zero Trust initiatives for application access security. According to Ping Identity, the expanded capabilities focus on securing agent and MCP traffic with enterprise-backed credentials, applying Zero Trust policies to AI agent traffic accessing models and enterprise data, and monitoring agent activity across distributed edge environments.
“Cloudflare is a critical infrastructure layer for AI agent deployments, where enterprises run and secure agentic AI workloads,” said Tom Evans, Chief Partner Officer at Cloudflare. “Identity and Zero Trust are key to maintaining visibility and control as organisations deploy AI agents across distributed environments. Expanding our work with Ping Identity will further enable organisations to secure AI agent traffic and MCP servers at the edge.”
Ping Identity said the expanded integrations are intended to help enterprises scale AI deployments while maintaining governance, visibility, and control over AI-driven operations.
