Secure connectivity hub that enforces employee permissions on AI agents, ensuring least-privilege access across tools and data.
AI agents lack unified permission enforcement, risking unauthorized access beyond employee privileges; existing human-centric identity systems fail to provide per-user auditability and least-privilege controls across tools.
AI agents lack unified permission enforcement, risking unauthorized access beyond employee privileges; existing human-centric identity systems fail to provide per-user auditability and least-privilege controls across tools.
Centralized platform for registering tools and agents, enforcing employee-specific permissions, secure integrations, and audit trails to enable safe, scalable AI usage.
Centralized platform for registering tools and agents, enforcing employee-specific permissions, secure integrations, and audit trails to enable safe, scalable AI usage.
Appears active as of 2025 based on Y Combinator listing and company website.
Appears active as of 2025 based on Y Combinator listing and company website.
Agentic Fabriq provides a secure infrastructure layer for AI agents, acting as a connectivity hub that controls access and actions based on user permissions. Described as 'Okta for Agents,' it addresses the emerging need for identity and access management in agentic AI systems.[1][2][4]
As organizations deploy AI agents to automate workflows, a key gap exists in enforcing permissions. Traditional identity systems designed for humans fail to constrain agents to the exact permissions of the employees using them. Without a unified layer, companies risk unauthorized data access or actions, lacking auditability across tools and agents.
Agentic Fabriq provides a secure infrastructure layer for AI agents, acting as a connectivity hub that controls access and actions based on user permissions. Described as 'Okta for Agents,' it addresses the emerging need for identity and access management in agentic AI systems.[1][2][4]
As organizations deploy AI agents to automate workflows, a key gap exists in enforcing permissions. Traditional identity systems designed for humans fail to constrain agents to the exact permissions of the employees using them. Without a unified layer, companies risk unauthorized data access or actions, lacking auditability across tools and agents.
Organizations deploying AI agents, IT admins, enterprises needing secure AI infrastructure.
Organizations deploying AI agents, IT admins, enterprises needing secure AI infrastructure.
Y Combinator listing and active website as of 2025.
Hiring: unknown
Y Combinator listing and active website as of 2025.
Hiring: unknown
Agentic Fabriq simplifies management by allowing IT admins to register tool connections, AI agents, and organizational permissions in a centralized platform. It ensures agents operate only within the scope of the requesting user's privileges, providing per-user personalization, secure integrations, and full audit trails. This enables safe scaling of AI usage with employee-specific data access.[1][2]
Agentic Fabriq simplifies management by allowing IT admins to register tool connections, AI agents, and organizational permissions in a centralized platform. It ensures agents operate only within the scope of the requesting user's privileges, providing per-user personalization, secure integrations, and full audit trails. This enables safe scaling of AI usage with employee-specific data access.[1][2]
The platform offers straightforward onboarding: connect tools, register agents, and manage permissions. It handles authentication and integrations, making it possible to deploy agents that respect least-privilege principles. Built-in controls prevent overreach, supporting auditable and scalable AI deployments across enterprises.[1][4]
The platform offers straightforward onboarding: connect tools, register agents, and manage permissions. It handles authentication and integrations, making it possible to deploy agents that respect least-privilege principles. Built-in controls prevent overreach, supporting auditable and scalable AI deployments across enterprises.[1][4]
Founded by MIT dropouts Paulina Xu and Matthew Xu, the company brings expertise from AI, physics, math, and computational research labs. Their background informs a focus on secure, composable agent ecosystems tailored for the agent-first era.[1]
Founded by MIT dropouts Paulina Xu and Matthew Xu, the company brings expertise from AI, physics, math, and computational research labs. Their background informs a focus on secure, composable agent ecosystems tailored for the agent-first era.[1]
In the rapidly evolving agentic AI landscape, Agentic Fabriq positions itself as essential infrastructure. It aligns with broader discussions on agentic fabrics that integrate AI agents, data, and human workflows to streamline business operations while maintaining governance.[5]
In the rapidly evolving agentic AI landscape, Agentic Fabriq positions itself as essential infrastructure. It aligns with broader discussions on agentic fabrics that integrate AI agents, data, and human workflows to streamline business operations while maintaining governance.[5]
(Note: This description draws from available public sources as of 2025. Detailed metrics or customer lists are not specified in sources.)
(Note: This description draws from available public sources as of 2025. Detailed metrics or customer lists are not specified in sources.)
