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What is Vulnify?

Vulnify functions as a specialized runtime authorization platform designed for developers and security teams who are building AI agents that engage with various tools or APIs. Before a tool is executed, the agent sends over action metadata, which includes information about the agent, the specific action, the resource involved, the target destination, and the number of records affected, after which it receives a decision labeled as ALLOW, REVIEW, or BLOCK, along with a risk score between 0 and 100, complete with explanations. Users can create and test YAML policies via a command-line interface, and they also have the option to integrate checks through Node.js or Python SDKs, a REST API, or numerous adapters compatible with their agent frameworks. Furthermore, the monitor mode allows for the logging of decisions without disrupting ongoing actions, and should Vulnify become unavailable, a fail-closed mechanism will halt actions unless a fail-open configuration is activated. An audit log that employs hash chaining keeps a detailed record of decisions made, and paid subscription plans can include human review processes to enhance oversight. Common applications for Vulnify involve monitoring data exports, controlling external communications, processing financial transactions, and other agent-initiated activities. It's essential to highlight that Vulnify prioritizes the assessment of action metadata rather than the actual content of the impacted records, ensuring an efficient and focused approach to authorization. By implementing this innovative system, organizations can significantly bolster their security and compliance in AI-driven operations, ultimately fostering a safer digital environment for their applications.

What is Crewship?

Crewship serves as a tailored platform for developers aiming to streamline the deployment of AI agent workflows. With a single command, users can launch their CrewAI, LangGraph, and LangGraph.js agents while monitoring their live execution. Key functionalities include one-command deployment, real-time execution streaming, artifact management, auto-scaling features, version control, and secure secrets handling. By managing the underlying infrastructure, Crewship allows developers to focus on crafting outstanding AI agents. Furthermore, it plans to introduce multi-framework support soon, incorporating tools like AutoGen, Pydantic AI, smolagents, OpenAI Agents, Mastra, and Agno, which will significantly broaden its functionality and user base. This all-encompassing approach guarantees that developers are equipped with all necessary resources for productive and effective AI development right at their disposal. Ultimately, Crewship positions itself as an indispensable ally for developers in the evolving landscape of AI technology.

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Integrations Supported

CrewAI
LangGraph
GitHub
Jira
LangChain
Model Context Protocol (MCP)
OpenAI Agents SDK
Slack
Vercel AI SDK

Integrations Supported

CrewAI
LangGraph

API Availability

Has API

API Availability

Pricing Information

Free plan available
Developer: $0/month for 2 agents, 10,000 evaluated events/month, and 7-day event history; no review queue. Team: $99/month for 10 agents and 250,000 events/month. Business: $499/month for 50 agents and 2,000,000 events/month. Prices are in USD, excluding taxes. No annual plan or overage charge. Enterprise pricing and limits are by contract.
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Vulnify

Company Location

Brazil

Company Website

www.vulnify.io

Company Facts

Organization Name

Crewship

Date Founded

2026

Company Location

Switzerland

Company Website

crewship.dev

Categories and Features

AI Agent Security

Not specified

Categories and Features

Agentic AI

Not specified

Agentic Orchestration

Not specified

ML Model Deployment

Not specified

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