Passwork is a corporate password manager built for organizations that take security seriously, available as a self-hosted platform or a secure cloud service. Designed and headquartered in Barcelona, Spain, Passwork meets GDPR, NIS2, ENS, and other European regulatory standards by default.
The self-hosted version keeps all credentials on your own server under the full control of your system administrators. The cloud option is hosted in secure German data centers. Both deployment models rely on client-side AES-256 encryption and zero-knowledge architecture, ensuring your data is never accessible to third parties.
Passwork holds ISO/IEC 27001 certification. Enterprises rely on it for secure password sharing, privileged access management, and centralized credential governance.
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Securden Password Vault is an enterprise-grade password management solution that allows you to securely store, organize, share, manage, and keep track of all human and machine identities. With a sleek access management system, Securden lets your IT teams share administrator credentials and effectively automate the management of privileged accounts in your organization. Securden seamlessly integrates with industry solutions like SIEM, SAML-based SSO, AD, and Azure AD among others to provide a smooth deployment in any organization. With Securden, organizations can rest easy as all their sensitive data is protected with strong encryption methods and supported by a robust high availability setup. Securden offers drilled-down granular access controls that allow users to grant access to accounts without revealing the underlying credentials in a just-in-time fashion. Securden Password Vault can be deployed both on-premise for self-hosting and on the cloud (SaaS).
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DeployStack
DeployStack is an enterprise-oriented management platform for Model Context Protocol (MCP) that aims to centralize, secure, and enhance the governance of MCP servers and AI tools within organizations. It features a unified dashboard that allows for the management of all MCP servers, incorporating centralized credential vaulting to eliminate the need for scattered API keys and manual configuration files, while also implementing role-based access control, OAuth2 authentication, and top-tier encryption to ensure secure enterprise operations. The platform provides detailed usage analytics and observability, delivering real-time insights into the utilization of MCP tools, including user access patterns and frequency, alongside comprehensive audit logs to support compliance and visibility into costs. Additionally, DeployStack optimizes token and context window management, enabling Large Language Model (LLM) clients to utilize significantly fewer tokens by employing a hierarchical routing system for accessing multiple MCP servers, thus maintaining model performance without compromise. This innovative approach not only streamlines operations but also empowers organizations to efficiently manage their AI resources while ensuring security and compliance.
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Peta
Peta serves as an advanced control plane for the Model Context Protocol (MCP), streamlining, securing, governing, and overseeing how AI clients and agents interact with external tools, data, and APIs. This platform integrates a zero-trust MCP gateway, a secure vault, a managed runtime environment, a policy engine, human-in-the-loop approvals, and comprehensive audit logging into a cohesive solution, enabling organizations to implement nuanced access controls, safeguard raw credentials, and monitor all tool interactions conducted by AI systems. At the heart of Peta is Peta Core, which functions as both a secure vault and gateway, encrypting credentials, generating short-lived service tokens, verifying identity and compliance with policies for each request, managing the MCP server lifecycle through lazy loading and auto-recovery, and injecting credentials during runtime without revealing them to agents. Additionally, the Peta Console empowers teams to specify which users or agents can access particular MCP tools within designated environments, establish approval protocols, manage tokens, and review usage statistics and associated costs. This multifaceted approach not only enhances security but also fosters efficient resource management and accountability within AI operations.
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