Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Mountain Theory controls what autonomous AI agents can do. Every action an agent is about to take is checked against your rules before it runs, and comes back ALLOW, HOLD or BLOCK.
An agent that works around a block is stopped on the workaround. An agent that drifts off its task is caught. New bad behavior is stopped the day it appears, with no new rule written. Personal data is kept from leaving your environment, and instructions hidden in emails and documents are blocked.
Rules are plain English, so changing one takes no code. Every decision is logged for your auditor. It works with any AI you already use, in your environment or the cloud. Our recorded tests are published with the misses included.
Description
Transitioning from development to production, as well as from traditional data engineering to artificial intelligence, requires securing the various environments, pipelines, tools, and open-source components integral to your data and AI supply chain. It is essential to continuously identify, prevent, and rectify security and compliance vulnerabilities in AI before they reach production. In addition, monitoring AI applications in real-time allows for the detection and mitigation of adversarial AI attacks while enforcing specific application guardrails. Noma integrates smoothly across your data and AI supply chain and applications, providing a detailed map of all data pipelines, notebooks, MLOps tools, open-source AI elements, and both first- and third-party models along with datasets, thereby automatically generating a thorough AI/ML bill of materials (BOM). Additionally, Noma constantly identifies and offers actionable solutions for security issues, including misconfigurations, AI-related vulnerabilities, and non-compliant training data usage throughout your data and AI supply chain. This proactive approach enables organizations to enhance their AI security posture effectively, ensuring that potential threats are addressed before they can impact production. Ultimately, adopting such measures not only fortifies security but also boosts overall confidence in AI systems.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AI21 Studio
No
Amazon Web Services (AWS)
No
Bitbucket
No
Claude
No
Databricks
No
Gemini Enterprise Agent Platform
No
GitLab
No
Hugging Face
No
Jira
No
Meta AI
No
Integrations
AI21 Studio
Yes
Amazon Web Services (AWS)
Yes
Bitbucket
Yes
Claude
Yes
Databricks
Yes
Gemini Enterprise Agent Platform
Yes
GitLab
Yes
Hugging Face
Yes
Jira
Yes
Meta AI
Yes
Pricing Details
Paid plans use flat annual pricing. A 30-day proof of concept is available.
Free Trial
No
Free Version
No
Pricing Details
Subscription license
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Mountain Theory
Founded
2024
Country
United States
Website
mountaintheory.ai
Vendor Details
Company Name
Noma Security
Founded
2023
Country
New York City
Website
noma.security/
Product Features
Product Features
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No