Josys is an AI-native identity security and governance platform built for the age of enterprise AI. As AI adoption accelerates, identity has become the fastest-growing attack surface and the hardest to govern. Josys discovers, governs, and secures every identity in the enterprise, human, machine, and AI agent, across every application. Its policy-led model lets security and IT teams set access policies once and enforce them autonomously: risk gets surfaced, access gets controlled, and identity threats get remediated in real time, with no manual oversight required. Over 1,000 organizations and MSPs worldwide trust Josys to turn identity from a liability into an autonomously governed advantage. Learn more at josys.com.
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BAND creates robust interaction frameworks designed for enterprise-level applications of distributed AI agents. The platform facilitates immediate, collaborative interactions among both agents and humans, incorporating a runtime control plane that upholds policies, defines authority limits, and ensures transparency across diverse systems.
Additionally, BAND empowers developers, engineering teams, and leaders of enterprise platforms who are managing multi-agent ecosystems spanning internal infrastructures, SaaS solutions, and environments shared with partners. This support enhances operational efficiency and fosters innovation within complex organizational structures.
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MuleSoft Anypoint Platform
MuleSoft provides a unified platform for enterprises that need to connect, manage, govern, and orchestrate AI agents, APIs, models, applications, and data at scale. It serves as an agentic control plane that helps organizations bring structure and visibility to fast-growing AI environments. Through MuleSoft Agent Fabric, companies can govern and coordinate agents regardless of where they were built, helping improve performance, compliance, and return on investment. MuleSoft Omni Gateway extends control across APIs, agents, and models, allowing teams to manage development, deployment, security, and policy enforcement from a single place. The platform also includes tools such as Agent Registry and Agent Scanners to identify, catalog, and monitor agents across major AI platforms. With Agent Broker and A2A support, MuleSoft helps agents collaborate across systems while giving businesses more control over how tasks are routed and completed. Organizations can also use MuleSoft MCP Support and Anypoint Connectors to transform existing applications, APIs, and systems into resources that AI agents can use. For developers, MuleSoft offers options ranging from natural language building with MuleSoft Vibes to pro-code development with Anypoint Code Builder. MuleSoft is designed for enterprises that want to scale agentic AI securely while maintaining governance, integration, observability, and operational consistency.
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Trase
Trase is a regulated AI platform designed for sectors like healthcare, government, and enterprise, where trust, security, sovereignty, and predictability are paramount. It offers a robust infrastructure for the deployment of AI agents within actual workflows, featuring a multitude of specialized agents that are ready for immediate production use, along with the necessary systems to maintain oversight on every workflow, decision, and escalation. The operational backbone for these agents is Trase Origin, an operating system specifically engineered to manage, secure, and govern agents across various environments including cloud, on-premises, VPC, and edge, all while ensuring data remains in its original location. Within a unified control plane, Trase and third-party agents benefit from shared policy enforcement, comprehensive monitoring, cost management, defined escalation procedures, and a complete, immutable audit trail. Additionally, it enables deployments that comply with HIPAA and SOC2 standards, while ensuring data residency, privacy, model adaptability, and freedom from vendor lock-in. This multifaceted approach allows organizations to effectively leverage AI while adhering to stringent regulatory requirements.
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