Securing Agentic AI with MCP: How Britive Brings Zero Standing Privileges to AI Workflows

Read full article here: https://www.britive.com/resource/blog/secure-mcp-workflows-agentic-ai-access-control/?source=nhimg

The rise of AI agents and the emergence of Model Context Protocol (MCP) are transforming how businesses build intelligent, automated workflows. But while MCP offers an open, flexible way for LLMs to access tools and services, its first-generation spec lacks critical security features—especially around identity, access control, and credential hygiene.

That’s where Britive steps in.

MCP clients often rely on hardcoded static credentials, a major risk as AI agents begin interacting with sensitive enterprise systems. With Britive’s dynamic access platform and native MCP server, organizations can eliminate these static secrets and enforce just-in-time (JIT), least-privileged access—even for non-deterministic agentic AI workflows.

Unlike other vendors that bolt on generic PAM policies or offer limited MCP toolsets, Britive was designed for Non-Human Identity (NHI) security from day one. It lets agents:

• Dynamically fetch time-bound credentials

• Reason about what level of access is needed

• Elevate only when necessary, and check access back in afterward

• Operate with zero standing privileges (ZSP)

Even advanced agents like Claude 4.0 can autonomously evaluate context and request the correct access profile (e.g. read-only for Snowflake), escalate when needed, and revoke access once the task is complete—without being told to.

MCP may be the USB-C of AI integration, but it doesn’t secure itself. With Britive’s platform, you get:

• Dynamic secrets management for MCP workflows

• Granular access enforcement per task and tool

• JIT + ZSP policies tailored for AI agents

• Agent-friendly APIs and native MCP tooling

In short: MCP enables innovation—Britive secures it. If you're using AI agents in production, don't just plug and pray. Secure your workflows the smart way.