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What is Noma?

Shifting from development to production, as well as from conventional data engineering to artificial intelligence, necessitates the safeguarding of various environments, pipelines, tools, and open-source components that form the backbone of your data and AI supply chain. It is crucial to consistently identify, avert, and correct security and compliance weaknesses in AI prior to their deployment in production. Furthermore, real-time monitoring of AI applications facilitates the identification and counteraction of adversarial AI attacks while ensuring that specific application guardrails are maintained. Noma seamlessly integrates throughout your data and AI supply chain and applications, delivering a comprehensive overview of all data pipelines, notebooks, MLOps tools, open-source AI components, and both first- and third-party models alongside their datasets, which in turn allows for the automatic generation of a detailed AI/ML bill of materials (BOM). Additionally, Noma continuously detects and provides actionable insights for security challenges, including misconfigurations, AI-related vulnerabilities, and the improper use of non-compliant training data across your data and AI supply chain. This proactive strategy empowers organizations to significantly improve their AI security framework, ensuring that potential risks are mitigated before they have a chance to affect production. In the end, implementing such strategies not only strengthens security but also enhances overall trust in AI systems, fostering a safer environment for innovation.

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

.NET
Amazon Bedrock
Amazon Bedrock AgentCore
Amazon Web Services (AWS)
Bitbucket
Claude
Gemini Enterprise Agent Platform
Go
Google Cloud Platform
Jira
Meta AI
Ministral 3B
Ministral 8B
Mistral 7B
Mistral AI
Mistral Small
Mixtral 8x7B
Python
Visual Studio Code

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

Subscription license

Pricing Information

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

Supported Platforms

SaaS
On-Prem

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

Noma Security

Date Founded

2023

Company Location

New York City

Company Website

noma.security/

Company Facts

Organization Name

Mountain Theory

Date Founded

2024

Company Location

United States

Company Website

mountaintheory.ai

Categories and Features

Categories and Features

AI Agent Security

Not specified

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