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Average Ratings 0 Ratings
Description
Agent Control represents a groundbreaking open-source framework designed to manage the behavior of AI agents on a large scale, setting a new benchmark for governance in this domain. It addresses the issue of disjointed and hardcoded checks by providing teams with a unified governance layer that enforces regulations at each step, all managed from a single control interface that can be updated dynamically without altering the agent's underlying code. Developers can easily designate any function as governable by applying the control() decorator, thereby transforming key decision points within an agent into independently regulated control points, each equipped with its own governance policies. When a decorated function runs, Agent Control assesses the input or output against the prevailing policy and generates a response that could be to deny, steer, warn, log, or allow the action. If a denial occurs, the SDK triggers a ControlViolationError, preventing any unsafe actions from being executed. This separation of policies from the actual code empowers developers to strategically position control hooks, while policy teams determine the enforcement specifics of those hooks, ensuring a collaborative approach to governance. The flexibility and robustness of Agent Control make it an invaluable tool for organizations looking to standardize AI agent governance effectively.
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
No images available
Integrations
Agent Development Kit (ADK)
Yes
Amazon Bedrock
Yes
AutoGen
Yes
Cisco AI Defense
Yes
CrewAI
Yes
LangChain
Yes
LangGraph
Yes
Make
No
Mistral NeMo
Yes
Model Context Protocol (MCP)
Yes
Integrations
Agent Development Kit (ADK)
No
Amazon Bedrock
No
AutoGen
No
Cisco AI Defense
No
CrewAI
No
LangChain
No
LangGraph
No
Make
Yes
Mistral NeMo
No
Model Context Protocol (MCP)
No
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
Agent Control
Country
United States
Website
agentcontrol.dev/
Vendor Details
Company Name
Mountain Theory
Founded
2024
Country
United States
Website
mountaintheory.ai
Product Features
Product Features
Alternatives
Alternatives
No Alternatives