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What is Snapper?

Snapper functions as an all-encompassing security framework designed specifically for AI agents, focusing on the governance and safeguarding of organizations that deploy AI across a multitude of applications, networks, and systems. It enforces runtime regulations by meticulously examining each action performed by an agent, including interactions with tools, API requests, and data access demands, before they are executed, employing a sophisticated, multi-layered, policy-driven rule engine. Furthermore, Snapper offers a comprehensive overview of AI activities by scrutinizing network traffic, browser activity, DNS queries, and active processes to detect unauthorized tools and concealed AI applications. In addition, it takes proactive steps to intercept outgoing requests to large language models through SDK wrappers and a network proxy, enabling real-time assessment, redaction, and documentation of sensitive data. To bolster its protective capabilities, Snapper incorporates advanced threat detection systems capable of identifying prompt injection strategies, exploit chains, abnormal behaviors, and intricate attack patterns, using behavioral baselines, kill chain analysis, and an integrated trust scoring framework for enhanced security. This combination of features makes Snapper an invaluable resource for organizations striving to manage the inherent risks linked to AI implementation while ensuring the integrity of their operations. Ultimately, the platform not only mitigates potential threats but also empowers organizations to confidently leverage AI technology.

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

Cortex XSOAR
Docker
GitHub
Helm
Kubernetes
Microsoft Sentinel
Model Context Protocol (MCP)
OpenAI
OpenClaw
PostgreSQL
ServiceNow
Splunk SOAR

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
Online Training

Training Options

Not specified

Company Facts

Organization Name

Snapper

Company Location

United States

Company Website

snapperprotect.com

Company Facts

Organization Name

Mountain Theory

Date Founded

2024

Company Location

United States

Company Website

mountaintheory.ai

Categories and Features

Agentic Cybersecurity

Not specified

AI Agent Security

Not specified

AI Security

Not specified

Categories and Features

AI Agent Security

Not specified

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