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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.

What is Enkrypt AI?

Enkrypt AI is an agentic AI security and compliance platform that helps enterprises identify, mitigate, monitor, and govern risks associated with AI models, applications, agents, and supporting infrastructure. The platform is designed to cover AI security threats and compliance requirements across different models and modalities while allowing organizations to continuously evaluate AI systems as they evolve. Its dynamic red teaming capabilities generate use-case-specific attacks that adapt in real time to uncover security, safety, compliance, and brand risks beyond those identified through static testing. Enkrypt AI can test for threats including prompt injection, jailbreaking, data leakage, model inversion, adversarial attacks, drip attacks, unsafe actuation, policy violations, and misuse by end users. It also evaluates AI quality and safety risks such as hallucinations, model drift, bias and discrimination, toxic content, deceptive behavior, misleading outputs, lack of explainability, and brand misalignment. Real-time guardrails detect and stop risky interactions as they occur while adapting to new prompts, behaviors, and emerging threats. Continuous monitoring gives security and compliance teams visibility into AI risks, protection effectiveness, and areas requiring action as models and applications change. Enkrypt AI's compliance functionality converts internal policies and external regulatory requirements into automated guardrails and generates evidence that can support audits and compliance programs. The product portfolio includes Agent Red Teaming, Agent Guardrails, an Agent Policy Engine, AI Data Risk Audit, MCP Scanner, and MCP Gateway for protecting AI agents, their data, and their connections to tools and infrastructure. Enkrypt AI supports use cases including customer-facing AI agents, frontier models, AI compliance and auditing, third-party AI risk, secure AI development, data risk assessment, and MCP security.

Media

Media

No images available

Integrations Supported

Integrations Supported

Anaconda
Claude Code
CrewAI
Cursor
Kilo Code
Kiro
LangGraph
Model Context Protocol (MCP)
OpenAI Agents SDK
Vercel AI SDK

API Availability

Has API

API Availability

Pricing Information

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

Pricing Information

Contact us for pricing
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mountain Theory

Date Founded

2024

Company Location

United States

Company Website

mountaintheory.ai

Company Facts

Organization Name

Anaconda

Date Founded

2022

Company Location

United States

Company Website

www.enkryptai.com

Categories and Features

AI Agent Security

Not specified

Categories and Features

AI Agent Security

Not specified

AI Governance

Not specified

AI Guardrails

Not specified

AI Security

Not specified

MCP Gateways

Not specified

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