Prismor

Security and policy enforcement for AI coding agents

Prismor helps you control what coding agents can do before commands run. It combines a CLI, GitHub App, CI/build scanning, and MCP support for scanning dependencies, code, secrets, and agent actions.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

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Enterprise

Open Source

Chrome Extension

Integrations

B2B

CLI

MCP Support

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About

What It Is

Prismor is a security and compliance platform for AI coding agents and agentic development workflows. It sits around tools like Claude Code, Cursor, LangChain, CrewAI, and related agent frameworks to inspect tool calls, enforce policy, and reduce risky actions before they execute.

What to Know

Prismor looks strongest as a guardrail and enforcement layer rather than a general-purpose agent. The docs describe policy checks, secret cloaking, runtime monitoring, build scanning, network isolation, and AI-generated fixes, but it does not appear...

Key Features

Intercepts AI agent tool calls before execution

Blocks dangerous tool calls based on policy

Scans repositories locally or in CI with the CLI

Scans pull requests through a GitHub App

Finds vulnerabilities and secrets from an editor over MCP

Use Cases

Securing Claude Code, Cursor, or other coding agents in day-to-day development

Scanning pull requests for vulnerabilities before merge

Running repository scans in local development or CI pipelines

Agenticness: Adaptive Collaborator

Proposes and executes multi-step plans with your approval.

High evidence

Last evaluated: Aug 3, 2026

Dimension Breakdown

Action Capability

Autonomy

Planning

Adaptation

State & Memory

Reliability

Interoperability

Safety

Operator Sovereignty

How agenticness works →

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Agenticness5/36·Reactive Tool

Agent Infrastructure

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Enterprise

API

B2B

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