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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Flint AI serves as a local-first and framework-agnostic AgentOps command-line interface designed to assist developers in assessing the reliability of AI agents prior to their deployment in production environments. By executing the command flintai scan, users can evaluate Python source code for various issues such as security flaws, misconfigurations, and inadequate safety measures, while also employing AI reasoning to filter out potential false positives. Additionally, the command flintai eval tests a running agent by sending both functional and adversarial prompts, grading its responses against over 35 established criteria, which encompass aspects like factual accuracy, adherence to instructions, and resilience against prompt injections and jailbreak attempts. Each evaluated agent is assigned a reliability score, with the results linked to the OWASP Agentic Security Initiative risk categories ASI01 through ASI10 and severity assessed via CVSS v4.0 metrics. Flint AI is compatible with several agent frameworks and SDKs, including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen, ensuring a broad range of applications in the development ecosystem. Furthermore, this versatile tool not only enhances the security and quality of AI agents but also streamlines the evaluation process, ultimately fostering greater confidence in AI deployment.

Description

Mountain Theory is an innovative AI security solution tailored for organizations that deploy autonomous AI agents. It evaluates the actions of these agents prior to execution, enabling it to permit, pause, or obstruct them based on established policies. Security teams have the flexibility to articulate controls in straightforward language, track agent compliance with designated tasks, and identify any attempts to circumvent established restrictions. The platform aims to minimize the risk of sensitive data exposure and prevent harmful instructions contained within documents. Additionally, it logs decisions for auditing and review processes. Mountain Theory caters to the needs of enterprise security, risk management, and IT departments, functioning seamlessly with various AI agents across both cloud and on-premises environments. Teams can leverage the platform to oversee agent tool interactions, assess policy-related decisions, and probe into any unusual behaviors that may arise within agent workflows, thereby enhancing overall organizational security.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Anthropic Yes 
AutoGen Yes 
Claude Agent SDK Yes 
CrewAI Yes 
LangChain Yes 
Make No 
Model Context Protocol (MCP) Yes 
OpenAI Yes 
Python Yes 
Zapier No 
n8n No 

Integrations

Anthropic No 
AutoGen No 
Claude Agent SDK No 
CrewAI No 
LangChain No 
Make Yes 
Model Context Protocol (MCP) No 
OpenAI No 
Python No 
Zapier Yes 
n8n Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Paid plans use flat annual pricing. A 30-day proof of concept is available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
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 Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

SandboxAQ

Country

United States

Website

www.flintai.dev/

Vendor Details

Company Name

Mountain Theory

Founded

2024

Country

United States

Website

mountaintheory.ai

Product Features

Product Features

Alternatives

Alternatives

No Alternatives