Agent Privilege

Runtime controls that keep AI coding actions governed, attributable, and auditable.

PLATFORM ALIGNMENT

Manage

Protect

Govern

Access

Orchestrate

Meet Agent Privilege

AI agents are changing how software gets built. More and more, tools like Claude, GitHub Copilot, and Cursor are generating and committing code directly into repositories on behalf of builders. At the same time, MCP has emerged as the open standard for connecting AI agents to backend tools, prompts, and resources. Unfortunately, this turns Git servers into a high-value, under-governed attack surface.

Agent Privilege acts as an in-line security gateway for MCP and Git environments, delivering just-in-time, least-privilege access with full visibility across the AI development workflow. No standing access. No exposed secrets. No unaudited AI commits. Every action is controlled, attributable, and automatically revoked when the work is done.

How It Works

Agent Privilege extends Ping’s proven in-line privilege enforcement model to MCP and Git environments. Already trusted for SSH, RDP, Kubernetes, and databases, this gives builders runtime privilege for their AI development stack. Instead of handing secrets to AI agents or builders:

Credentials are injected only during active sessions
Access is granted just in time
Permissions are scoped to the task
Everything is continuously audited

For Git workflows, agents authenticate using short-lived SSH CA-signed certificates tied directly to a real human identity. Every AI-generated commit is cryptographically attributable to a real person, and you get the visibility you need for audit, compliance, and threat detection. Because “AI wrote it” isn’t an audit trail.

With Agent Privilege, You Can:

Enforce just-in-time privileged access across MCP servers, GitHub, GitLab, and other repositories through a unified in-line gateway.

Inject credentials at runtime so API keys, PATs, SSH keys, and secrets are never accessible in the developer environment or touched by AI agents.

Use SSH CA-signed certificates to make AI-generated commits traceable to real human identities.

Apply fine-grained access controls at MCP tools, prompts, resources, repositories, and Git operations.

Dynamically manage policies for which MCP servers builders and agents can access based on persona, task, or session context.

Audit every MCP interaction and Git action through centralized session and activity logs to know who did what, via which agent, and against which resource.

Part of the Ping Identity Platform

Securing privileged access for your humans, machines, and AI agents shouldn't require stitching together a dozen different tools. Agent Privilege extends Ping's trusted in-line gateway model to MCP and Git, unifying privileged access across your entire stack. We provide the industry's most comprehensive identity platform, combining identity verification, authentication, authorization, identity governance, privileged access, and agent-aware controls in one place. Here’s what sets us apart:

All-in-one identity platform with unmatched reliability
Trusted globally, built for enterprise scale
Easy to use, easier to integrate, evolves with your needs

Scale Agentic Development Without Scaling Risk

Code at AI speed without losing control. Agent Privilege helps enterprise development teams confidently adopt AI coding tools while giving security teams the governance they need.

Front MCP servers, Git repos, SSH, RDP, Kubernetes, and databases through one consistent privilege layer.
Replace standing credentials and long-lived secrets with runtime credential injection and time-bound entitlements.
Preserve the integrity of source code by cryptographically binding every AI-assisted commit to a real human identity for compliance and insider-risk investigations.

Business Value

Bring every MCP server under centralized control so security teams always know which agents and builders can access which backends.

With runtime credential injection, secrets, API keys, SSH keys, and PATs are never handed to LLMs, AI agents, or developer environments..

Close the attribution gap that breaks SDLC controls and compliance. Use short-lived, cryptographically signed certificates so every AI-generated commit is traceable to a human.

Eliminate risky standing access with just-in-time entitlements that are scoped per persona, task, or session, across all MCP tools, prompts, resources, repos, and operations.

Audit all MCP and Git activity logs, and revoke AI agent access to sensitive resources and repositories immediately if something looks risky.

Govern AI-generated code as it enters the repo so security and engineering leaders can investigate, attest, and demonstrate control, without slowing builders down.

Real Agentic Development.  

Real Control.

Give builders the AI tools they want, and give security a unified control plane for MCP and Git with runtime privilege enforcement and full auditability.