distributedapps.ai

What It Is

DistributedApps.ai is a project/service site focused on Agentic AI security, positioning Agentic AI Threat Intelligence as a way to power the future of AI security. According to the main content, its offering mainly consists of three parts: Agentic AI Red Teaming, Agentic AI Threat Modeling, and Zero Trust for Agentic AI. The goal is to help teams proactively identify vulnerabilities in Agentic AI systems, assess threats, and build more robust security architectures.

Core Capabilities and Evaluation

In terms of protection scope, it covers three layers: red teaming, threat modeling, and zero-trust architecture. Its red-team capabilities emphasize proactive testing and vulnerability discovery for Agentic AI Systems. Its threat modeling uses the MAESTRO framework and maps to OWASP AIVSS core risks, MITRE Atlas, Zenity attack techniques, and Agentic AI Top 10, which is valuable for teams looking to bring AI Agent risks into a structured governance process. In terms of deployment, the page clearly states that Zero Trust for Agentic AI provides an open-source SDK and is available on GitHub, but it does not specify the delivery model for the red-teaming or threat-modeling tools. Compliance certifications, management console, alerts, reporting, and audit capabilities are not disclosed.

Pricing and Commercial Information

The page does not provide information on pricing, plans, trials, enterprise editions, or payment methods; it only offers a “Get In Touch” entry point. As a result, its cost structure and procurement threshold cannot be assessed. For enterprise users, whether it supports contract-based purchasing, SLAs, private deployment, or security reviews will require further communication.

Pros and Cons

Its strengths are a clear focus and close alignment with the fast-growing, high-risk area of Agentic AI. Its threat modeling aligns with multiple industry frameworks, helping security teams establish a shared risk vocabulary. The open-source SDK is also useful for developer review and integration. The main drawback is the limited public information: there are no customer cases, compliance credentials, operational alerting details, or service support descriptions, so its maturity still needs to be validated.

Who It’s For and Access from China

It is better suited for R&D and security teams that are building AI Agents and need pre-launch security assessments, threat modeling, or exploration of a zero-trust Agent architecture. The page does not provide information about access from China, so this remains unknown; payment methods are also undisclosed. If access or procurement is restricted, teams can refer to open-source frameworks such as OWASP AIVSS and MITRE ATLAS, or consider domestic application security and AI security red-team service providers as alternatives.