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What is Opal Zero?

Opal Zero acts as a governance platform designed for AI agents, offering just-in-time access management by systematically cataloging each agent, associating them with a responsible owner, assessing access requests, and executing decisions via the existing MCP gateway. This all-encompassing solution enables organizations to sustain a cohesive inventory across diverse identity providers and AI platforms such as Okta, Entra, Anthropic, OpenAI, Bedrock AgentCore, and Cursor, thereby clarifying the permissions assigned to each agent and their corresponding ownership. The Risk Center identifies access that could be misaligned with its intended application, unassigned, or excessively broad, directing these issues to the relevant owner while providing immediate options for corrective action. Paladin evaluates requests against predefined policies and contextual information, identifies the most limited access pathways, respects ownership boundaries, and explains the justification for each decision made. By scrutinizing actual user behavior, Policy Insights reveals cases of unnecessary access and recommends improvements to access policies, aiming for a proactive approach rather than reactive fixes. Gateway Enforcement guarantees that sanctioned access decisions are executed as precise, temporary policies within the current gateway framework, thereby cultivating a more secure and well-organized structure for managing AI agents. Additionally, this platform's robust analytics capabilities help organizations to adapt and refine their governance strategies continuously, ensuring that they remain aligned with evolving operational needs.

What is Mountain Theory?

Mountain Theory is AI security for companies running autonomous AI agents. Before an agent's action runs, Mountain Theory checks it against your rules and allows it, holds it for a person to approve, or blocks it. It stops an agent working around a block, catches an agent drifting off the task it was given, and stops new bad behavior on the day it first appears, with no new rule needed. It also keeps personal data from leaving and blocks instructions hidden in documents. Rules are written in plain English with no code. Every decision is logged for your auditor. It works with any AI you already use, in your environment or the cloud. We publish our recorded tests, misses included.

Media

Media

Integrations Supported

Amazon Bedrock AgentCore
Amazon S3
Anthropic
Cursor
Kubernetes
Microsoft Entra ID
Model Context Protocol (MCP)
Okta
Opal Security
OpenAI

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Paid plans use flat annual pricing. A 30-day proof of concept is available.

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Not specified

Company Facts

Organization Name

Opal Security

Date Founded

2020

Company Location

United States

Company Website

www.opal.dev/zero

Company Facts

Organization Name

Mountain Theory

Date Founded

2024

Company Location

United States

Company Website

mountaintheory.ai

Categories and Features

AI Agent Security

Not specified

Categories and Features

AI Agent Security

Not specified

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