Alternatives to Gate22

Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.

agentgateway is an AI-native gateway built to manage, secure, and observe modern AI and agentic systems. It acts as a centralized control plane for LLMs, AI agents, and tool servers using protocols like MCP and A2A. Designed specifically for AI workloads, agentgateway supports connectivity patterns that legacy gateways cannot. The platform provides secure LLM access, preventing data leaks, malicious prompts, and uncontrolled usage. Enterprises gain full visibility into how models, agents, and tools interact across the ecosystem. agentgateway simplifies governance with centralized policy enforcement and access control. It also enables consistent observability using standards like OpenTelemetry. As an open-source project hosted by the Linux Foundation, it promotes vendor-neutral interoperability. agentgateway helps organizations scale AI responsibly and securely. It delivers a future-ready foundation for agentic connectivity.

Over 15,000 businesses worldwide trust Access Server from OpenVPN for a self-hosted VPN to securely extend their private network to their remote workforce over the internet. That means your remote and hybrid workforce will have access to their business resources with top network security, without adding hundreds of hours of setup and maintenance time to your to-do list. OpenVPN Access Server is a full-featured SSL self-hosted VPN software solution that integrates OpenVPN server capabilities, enterprise management capabilities, simplified OpenVPN Connect UI, and OpenVPN Client software packages that accommodate Windows, MAC, and Linux, mobile OS (Android and iOS) environments. OpenVPN Access Server supports a wide range of configurations, including secure and granular remote access to internal network and/ or private cloud network resources and applications with fine-grained access control.

Obot functions as an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway, providing organizations with a centralized control system to discover, onboard, manage, secure, and scale MCP servers, which facilitate the connection of large language models and AI agents to various enterprise systems, tools, and data sources. It incorporates an MCP gateway, a catalog, an administrative console, and an optional integrated chat interface, all within a modern design that works seamlessly with identity providers like Okta, Google, and GitHub to implement access control, authentication, and governance policies across MCP endpoints, thus ensuring that AI interactions remain secure and compliant. Moreover, Obot empowers IT teams to host both local and remote MCP servers, manage access through a secure gateway, establish detailed user permissions, log and audit usage effectively, and create connection URLs for LLM clients, including tools like Claude Desktop, Cursor, VS Code, or custom agents, enhancing operational flexibility and security. Additionally, this platform streamlines the integration of AI services, making it easier for organizations to leverage advanced technologies while maintaining robust governance and compliance standards.

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

Lunar.dev serves as a comprehensive AI gateway and API consumption management platform designed to empower engineering teams with a singular, integrated control interface for overseeing, regulating, safeguarding, and enhancing all outbound API and AI agent interactions. This includes tracking communications with large language models, utilizing Model Context Protocol tools, and interfacing with external services across various distributed applications and workflows. It offers instantaneous insights into usage patterns, latency issues, errors, and associated costs, enabling teams to monitor every interaction involving models, APIs, and agents in real time. Furthermore, it allows for the enforcement of policies such as role-based access control, rate limiting, quotas, and cost management measures to ensure security and compliance while avoiding excessive usage or surprise expenses. By centralizing the management of outbound API traffic through features like identity-aware routing, traffic inspection, data redaction, and governance, Lunar.dev enhances operational efficiency. Its MCPX gateway further streamlines the management of multiple Model Context Protocol servers by integrating them into a single secure endpoint, providing robust observability and permission oversight for AI tools. Thus, the platform not only simplifies the complexity of API management but also significantly boosts the ability of teams to harness AI technologies effectively.

MintMCP serves as a robust Model Context Protocol (MCP) gateway and governance solution designed for enterprises, offering a centralized approach to security, observability, authentication, and compliance for AI tools and agents that interface with internal data, systems, and services. This platform empowers organizations to deploy, oversee, and manage their MCP infrastructure on a large scale, providing real-time insights into each MCP tool interaction while implementing role-based access control and enterprise-level authentication, all while ensuring comprehensive audit trails that adhere to regulatory standards. Functioning as a proxy gateway, MintMCP effectively aggregates connections from various AI assistants, including ChatGPT, Claude, and Cursor, streamlining monitoring processes, mitigating risky behaviors, managing credentials securely, and enforcing detailed policy measures without necessitating individual security implementations for each tool. By centralizing these functions, MintMCP not only enhances operational efficiency but also fortifies the security posture of organizations leveraging AI technologies.

Prefect Horizon serves as a managed AI infrastructure platform within the extensive Prefect product ecosystem, enabling teams to deploy, govern, and manage Model Context Protocol (MCP) servers and AI agents on an enterprise level with essential production-ready capabilities like managed hosting, authentication, access control, observability, and governance of tools. By leveraging the FastMCP framework, it transforms MCP from merely a protocol into a comprehensive platform featuring four integrated core components: Deploy, which facilitates the rapid hosting and scaling of MCP servers through CI/CD and monitoring; Registry, which acts as a centralized repository for first-party, third-party, and curated MCP endpoints; Gateway, which provides role-based access control, authentication, and audit logs to ensure secure and governed access to tools; and Agents, which offer user-friendly interfaces that can be deployed in Horizon, Slack, or accessible via MCP, allowing business users to engage with context-aware AI without requiring technical expertise in MCP. This multifaceted approach ensures that organizations can effectively harness AI capabilities while maintaining robust governance and security protocols.

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.

The Microsoft MCP Gateway serves as an open-source reverse proxy and management interface for Model Context Protocol (MCP) servers, facilitating scalable and session-aware routing along with lifecycle management and centralized oversight of MCP services, particularly within Kubernetes setups. Acting as a control plane, it adeptly directs requests from AI agents (MCP clients) to the corresponding backend MCP servers while maintaining session affinity, effectively managing multiple tools and endpoints through a singular gateway that prioritizes authorization and observability. Additionally, it empowers teams to deploy, update, and remove MCP servers and tools through RESTful APIs, enabling the registration of tool definitions and the management of these resources with security measures such as bearer tokens and role-based access control (RBAC). The architecture distinctly separates the management of the control plane, which includes CRUD operations on adapters, tools, and metadata, from the data plane's routing capabilities, which support streamable HTTP connections and dynamic tool routing, thus providing advanced features like session-aware stateful routing. This design not only enhances operational efficiency but also fosters a more secure environment for managing AI services.

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.

The Docker MCP Gateway is a fundamental open source element of the Docker MCP Catalog and Toolkit, designed to run Model Context Protocol (MCP) servers within isolated Docker containers that have limited privileges, restricted network access, and defined resource constraints, thereby providing secure and consistent environments for AI applications. This component oversees the complete lifecycle of MCP servers by launching containers as needed when an AI application requires a specific tool, injecting necessary credentials, enforcing security measures, and directing requests so that servers can effectively process them and deliver outcomes through a single, cohesive gateway interface. By positioning all operational MCP containers behind one unified access point, the Gateway enhances the ease with which AI clients can discover and utilize various MCP services, minimizing redundancy, boosting performance, and centralizing aspects of configuration and authentication. In essence, it streamlines the interaction between AI applications and multiple services, fostering a more efficient development process and elevating overall system security.

Storm MCP serves as an advanced gateway centered on the Model Context Protocol (MCP), facilitating seamless connections between AI applications and multiple verified MCP servers through a straightforward one-click deployment process. It ensures robust enterprise-level security, enhanced observability, and easy integration of tools without the need for extensive custom development. By standardizing AI connections and only exposing specific tools from each MCP server, it helps minimize token consumption and optimizes the selection of model tools. With its Lightning deployment feature, users can access over 30 secure MCP servers, while Storm efficiently manages OAuth-based access, comprehensive usage logs, rate limitations, and monitoring. This innovative solution is crafted to connect AI agents to external context sources securely, allowing developers to sidestep the complexities of building and maintaining their own MCP servers. Tailored for AI agent developers, workflow creators, and independent innovators, Storm MCP stands out as a flexible and configurable API gateway, simplifying infrastructure challenges while delivering dependable context for diverse applications. Its unique capabilities make it an essential tool for those looking to enhance their AI integration experience.

MCPTotal is a robust, enterprise-level solution that facilitates the management, hosting, and governance of MCP (Model Context Protocol) servers and AI-tool integrations within a secure, audit-friendly framework, rather than allowing them to operate haphazardly on developers' local machines. The platform features a “Hub,” which serves as a centralized, sandboxed runtime space where MCP servers are securely containerized, fortified, and thoroughly vetted for potential vulnerabilities. Additionally, it includes an integrated “MCP Gateway” that functions as an AI-focused firewall, capable of real-time inspection of MCP traffic, enforcing security policies, tracking all tool interactions and data movements, and mitigating typical threats like data breaches, prompt-injection attempts, and improper credential use. Security measures are further enhanced through the secure storage of all API keys, environment variables, and credentials in an encrypted vault, effectively preventing credential sprawl and the risks associated with storing sensitive information in plaintext on personal devices. Furthermore, MCPTotal empowers organizations with discovery and governance capabilities, allowing security teams to conduct scans on both desktop and cloud environments to identify the active use of MCP servers, thus ensuring comprehensive oversight and control. Overall, this platform represents a significant advancement in the management of AI resources, promoting both security and efficiency within enterprises.

Klavis AI delivers open source infrastructure designed to streamline the utilization, development, and expansion of Model Context Protocols (MCPs) for artificial intelligence applications. With MCPs, tools can be integrated dynamically at runtime in a uniform manner, which removes the requirement for preconfigured setups during the design phase. Klavis AI supplies secure and hosted MCP servers, which alleviates the burden of authentication management and client-side code. This platform facilitates integration with a diverse range of tools and MCP servers, ensuring flexibility and adaptability. Klavis AI's MCP servers are not only stable and trustworthy but are also hosted on dedicated cloud infrastructure, with support for OAuth and user-based authentication to ensure secure access and effective management of user resources. Furthermore, the platform features MCP clients available on Slack, Discord, and web interfaces, allowing users to access MCPs directly from these popular communication platforms. In addition, Klavis AI offers a standardized RESTful API for seamless interaction with MCP servers, empowering developers to incorporate MCP capabilities into their applications with ease. This comprehensive approach ensures that developers have the tools they need to efficiently harness the power of MCPs in their AI projects.

FastMCP is a Python-based open-source framework designed to facilitate the development of Model Context Protocol (MCP) applications, simplifying the creation, management, and interaction with MCP servers while managing the complexities of the protocol so that developers can concentrate on their core business logic. The Model Context Protocol (MCP) serves as a standardized method for enabling large language models to connect securely with tools, data, and services, and FastMCP offers a streamlined API that allows for easy implementation of this protocol with minimal boilerplate code by utilizing Python decorators for registering tools, resources, and prompts. To set up a typical FastMCP server, one would instantiate a FastMCP object, use decorators to mark Python functions as tools (which can be invoked by the LLM), and then launch the server with various built-in transport options such as stdio or HTTP; this setup enables AI clients to interact with your code seamlessly as if it were integrated into the model’s context. Additionally, FastMCP’s design promotes efficient development practices, allowing teams to quickly iterate on their applications while maintaining high standards of code quality and performance.

ContextForge MCP Gateway serves as an open-source platform that functions as a Model Context Protocol (MCP) gateway, registry, and proxy, offering a consolidated endpoint for artificial intelligence clients to find and utilize tools, resources, prompts, as well as REST or MCP services within intricate AI ecosystems. This solution operates in front of various MCP servers and REST APIs, facilitating federated and unified processes for discovery, authentication, rate-limiting, observability, and traffic management across numerous back-end systems, while accommodating multiple transport methods like HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP; it also has the capability to transform legacy APIs into MCP-compliant tools. Additionally, the platform features an optional Admin UI that enables users to configure, monitor, and access logs in real time, and it is architected to scale efficiently, from single-instance deployments to expansive multi-cluster Kubernetes setups, utilizing Redis for federation and caching to enhance both performance and resilience. In this way, the ContextForge MCP Gateway not only simplifies the interaction within complex AI architectures but also ensures robust functionality and adaptability across various operational environments.

BeyondTrust Pathfinder provides a robust identity-focused security solution aimed at safeguarding organizations from attacks that exploit privileges by offering enhanced visibility, management, and governance over both human and non-human identities, their credentials, and access routes. Central to this offering is the Pathfinder Platform, which adeptly charts privilege pathways across various environments, including endpoints, servers, cloud services, identity providers, SaaS applications, and databases, revealing hidden over-privileged accounts, orphaned identities, and potential attack routes. Additional essential elements of the platform include Identity Security Insights, which enables unified detection and prioritization of identity-related risks, and Password Safe, which allows users to discover, store, manage, and audit privileged credentials and session activities. Moreover, the Privileged Remote Access feature ensures secure, rules-based access with comprehensive session oversight, while the Entitle component streamlines the automation of cloud permissions and just-in-time access. Additionally, Endpoint Privilege Management enforces a least-privilege model on endpoints through application control and file integrity monitoring, contributing to a more secure organizational environment. Ultimately, these features work in concert to enhance overall identity security and reduce the risk of privilege-based threats.

Webrix MCP Gateway serves as a comprehensive infrastructure for enterprises aiming to integrate AI solutions securely, allowing for seamless connections between various AI agents (such as Claude, ChatGPT, Cursor, and n8n) and internal systems on a large scale. Utilizing the Model Context Protocol standard, Webrix presents a unified secure gateway that tackles the primary hurdle hindering AI adoption: security apprehensions related to tool accessibility. Key features include: - Centralized Single Sign-On (SSO) and Role-Based Access Control (RBAC) – This allows employees to connect to authorized tools immediately, bypassing the need for IT ticket requests. - Universal agent compatibility – The platform supports any AI agent that complies with the MCP standard. - Robust enterprise security – Encompasses audit logs, credential management, and strict policy enforcement. - Self-service functionality – Employees can effortlessly access internal resources (like Jira, GitHub, databases, and APIs) through their chosen AI agents without requiring manual setups. By addressing the essential challenge of AI integration, Webrix empowers your workforce with the necessary AI capabilities while ensuring robust security, oversight, and compliance. Whether you choose to deploy it on-premise, within your cloud infrastructure, or utilize our managed services, Webrix adapts to fit your organization's needs.

Solo Enterprise offers a comprehensive cloud-native application networking and connectivity solution that enables businesses to securely connect, scale, manage, and monitor APIs, microservices, and advanced AI workloads within distributed infrastructures, particularly in Kubernetes-based and multi-cluster environments. The platform's foundational features leverage open-source technologies such as Envoy and Istio, including Gloo Gateway, which facilitates omnidirectional API management by effectively handling external, internal, and third-party traffic while ensuring security, authentication, traffic routing, observability, and analytics. Additionally, Gloo Mesh provides a centralized control mechanism for multi-cluster service mesh, streamlining service-to-service connectivity and security across different clusters. Moreover, the Agentgateway and Gloo AI Gateway enable secure and governed traffic for LLM/AI agents, incorporating essential guardrails and integration capabilities to enhance functionality and security. This multifaceted approach ensures that enterprises can operate efficiently in a rapidly evolving technological landscape.

Entrusting privileged users with enhanced access to vital systems, data, and functionalities is essential, but it is equally important to thoroughly vet, monitor, and analyze their advanced entitlements to safeguard your resources from potential cybersecurity threats and credential misuse. Studies indicate that nearly 40% of insider cyberattacks involve these privileged users, emphasizing the need for vigilance. The IBM Verify Privilege solutions, in collaboration with Delinea, facilitate zero trust frameworks aimed at reducing risks for the organization. These tools help to discover, control, manage, and secure privileged accounts across various endpoints and hybrid multi-cloud environments. Additionally, they can identify previously unknown accounts, automatically reset passwords, and monitor unusual activities. By managing, safeguarding, and auditing privileged accounts throughout their entire lifecycles, organizations can pinpoint devices, servers, and other endpoints with administrative privileges, thus ensuring the enforcement of least-privilege security, regulating application rights, and minimizing the burden on support teams, ultimately enhancing overall security posture. This comprehensive approach not only protects sensitive information but also reinforces the integrity of the entire system.

TrueFoundry is an Enterprise Platform as a service that enables companies to build, ship and govern Agentic AI applications securely, at scale and with reliability through its AI Gateway and Agentic Deployment platform. Its AI Gateway encompasses a combination of - LLM Gateway, MCP Gateway and Agent Gateway - enabling enterprises to manage, observe, and govern access to all components of a Gen AI Application from a single control plane while ensuring proper FinOps controls. Its Agentic Deployment platform enables organizations to deploy models on GPUs using best practices, run and scale AI agents, and host MCP servers - all within the same Kubernetes-native platform. It supports on-premise, multi-cloud or Hybrid installation for both the AI Gateway and deployment environments, offers data residency and ensures enterprise-grade compliance with SOC 2, HIPAA, EU AI Act and ITAR standards. Leading Fortune 1000 companies like Resmed, Siemens Healthineers, Automation Anywhere, Zscaler, Nvidia and others trust TrueFoundry to accelerate innovation and deliver AI at scale, with 10Bn + requests per month processed via its AI Gateway and more than 1000+ clusters managed by its Agentic deployment platform. TrueFoundry’s vision is to become the Central control plane for running Agentic AI at scale within enterprises and empowering it with intelligence so that the multi-agent systems become a self-sustaining ecosystem driving unparalleled speed and innovation for businesses. To learn more about TrueFoundry, visit truefoundry.com.

Genians is a cybersecurity platform that provides full network surveillance for all connected devices. It also provides dynamic access control to ensure compliance with IT security policies. It then uses automation to orchestrate the entire security portfolio of an organization, in concert with Device Platform Intelligence (NAC), Endpoint Detection and Response(EDR), and Network Access Control (NAC) to create a highly-secure network edge. Genians ZNetwork Access Control can protect every connecting point in a variety of networking environments, such as VPN, xDSL and 5G. It also ensures least-privilege, multifactor authentication (MFA), micro-segmentation, and least-privilege. It can also be used to enhance any enterprise's Secure Access Service Edge architecture (SASE). Genians provides millions of endpoints for organizations of all sizes and industries. This includes global Fortune 500 companies, government, military, energy, finance and education.

Koog is a Kotlin-based framework designed for developing and executing AI agents using idiomatic Kotlin, catering to both simple agents that handle individual inputs and more intricate workflow agents with tailored strategies and configurations. Its architecture is built entirely in Kotlin, ensuring a smooth integration of the Model Control Protocol (MCP) for improved management of models. The framework also utilizes vector embeddings to facilitate semantic search and offers a versatile system for creating and enhancing tools that can interact with external systems and APIs. Components that are ready for immediate use tackle prevalent challenges in AI engineering, while intelligent history compression techniques are employed to optimize token consumption and maintain context. Additionally, a robust streaming API supports real-time response processing and allows for simultaneous tool invocations. Agents benefit from persistent memory, which enables them to retain knowledge across different sessions and among various agents, and detailed tracing facilities enhance the debugging and monitoring process, ensuring developers have the insights needed for effective optimization. This combination of features positions Koog as a comprehensive solution for developers looking to harness the power of AI in their applications.

JetStream Security serves as a governance platform focused on security, enabling enterprises to gain comprehensive visibility, control, and responsibility over their AI systems by transforming them from unclear, disjointed applications into managed and traceable infrastructures. Functioning as a unified control center, it integrates identity management, operational governance, monitoring, and financial management into one cohesive system, empowering organizations to “monitor every AI action, associate actions with accountable individuals, and ensure workflows stay within authorized limits” while applying policies during runtime. Furthermore, it incorporates agentic identity, linking human, agentic, and non-human identities to specific actions and access rights, thereby ensuring that each invocation, tool usage, or workflow can be tracked and governed according to least-privilege access standards. By maintaining ongoing runtime governance, JetStream continuously evaluates actual AI behavior against pre-approved frameworks, utilizing immutable logging and real-time monitoring to identify deviations, thereby reinforcing security and compliance. This robust approach not only enhances accountability but also supports organizations in navigating the complexities of AI governance effectively.

The ARCON | Privileged Access Management (PAM) solution offers comprehensive oversight of your entire IT ecosystem, enabling you to create contextual security tailored to your most valuable resource: data. With its detailed access management, you have the flexibility to design your security framework according to your preferences, allowing you to grant or revoke access at your discretion, whenever necessary. Achieve rule- and role-based access control across all target systems while adhering to the principle of 'least privilege', which ensures that access to data is granted solely on a 'need-to-know' basis. This capability empowers your administrators to effectively manage, monitor, and regulate privileged accounts down to each individual user. Establish a cohesive access control and governance structure to keep track of privileged identities, whether they reside on-premises, in the cloud, within a distributed data center, or in a hybrid setting. Additionally, the system automates the randomization and updating of passwords, helping to mitigate risks associated with shared credentials while enhancing overall security. Such features collectively bolster your organization’s resilience against potential security threats.

Implement a least-privilege access model for business resources to minimize unnecessary exposure to your corporate network and prevent applications from being accessible via the Internet. Steer clear of installing agents on BYOD or third-party devices to avoid complications and user resistance. Facilitate access to web applications, SSH, RDP, and Git seamlessly without requiring a client installation. Monitor user interactions with business applications to identify anomalies, highlight potential security concerns, and keep the networking team informed of any shifts in security measures. Leverage essential technology integrations to automatically check and adjust access rights in response to contextual changes, ensuring that data remains secure and least-privilege access is consistently maintained. Additionally, make private applications inaccessible from the Internet, restrict user network access, and provide a more secure connection to SaaS applications for enhanced protection. This proactive approach not only safeguards resources but also streamlines user experiences in accessing applications.

LynxSecure® functions as a programmable processor partitioning system that leverages hardware virtualization to effectively isolate computing resources. Its distinctive design, which focuses on least-privilege principles coupled with a fine-grained distributed resource control model, underpins the Lynx MOSA.ic™ Modular Development Framework. This framework aims to foster trust among customers, partners, and stakeholders by facilitating the development of innovative software platforms that significantly reduce costs, risks, and time in the creation and deployment of safe, secure, and connected mission-critical systems utilized in both manned and autonomous military, aerospace, and federal applications. Unlike traditional methods that rely on issuing commands to platform APIs as dictated by a programming manual, LynxSecure empowers developers to directly influence system behavior through a unique system architecture specification that they create, with enforcement carried out exclusively by the processor. This direct control enhances the precision and adaptability of software development in high-stakes environments.

LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!

Kelltron’s IAM Suite is a comprehensive AI-powered platform that unifies Identity & Access Management, Privileged Access Management, and Data Governance for enhanced security and compliance. The suite enables secure user onboarding, Single Sign-On to thousands of apps, adaptive Multi-Factor Authentication, and granular role-based access controls to strengthen identity security. Privileged Access Management features just-in-time access provisioning, continuous session monitoring, and secure credential vaulting to mitigate risks associated with privileged accounts. The Data Governance module automates data discovery, classification, and access policy enforcement to help organizations comply with GDPR, ISO 27001, and other regulations. Suitable for hybrid IT setups, Kelltron supports flexible deployment models including cloud, on-premises, and multi-tenant environments. Its AI-driven automation capabilities reduce administrative burden by flagging unusual behaviors, suggesting least-privilege access configurations, and delivering real-time risk analytics. The platform offers 24/7 support and a six-month free trial to help businesses and managed service providers (MSPs) scale securely with confidence. Kelltron empowers organizations with full visibility and control over identity and data security.

Workato is the operating platform for today's fast-moving businesses. It is the only AI-based middleware platform that allows both IT and business to integrate their apps and automate complex business workflows. Our mission is to help companies automate and integrate their apps and business processes at least 10x faster than traditional tools, and at a tenth the cost of traditional tools. Integration is a mission critical, neutral technology that can be used in heterogeneous IT environments. We are the only technology vendor that is supported by all three of the leading SaaS vendors: Salesforce. Workday. And ServiceNow. We are trusted by the world's most recognizable brands and the fastest-growing innovators. Customers consider us to be one of the best companies to do business.

The NeoPulse Product Suite offers a comprehensive solution for businesses aiming to develop tailored AI applications utilizing their own selected data. It features a robust server application equipped with a powerful AI known as “the oracle,” which streamlines the creation of advanced AI models through automation. This suite not only oversees your AI infrastructure but also coordinates workflows to facilitate AI generation tasks seamlessly. Moreover, it comes with a licensing program that empowers any enterprise application to interact with the AI model via a web-based (REST) API. NeoPulse stands as a fully automated AI platform that supports organizations in training, deploying, and managing AI solutions across diverse environments and at scale. In essence, NeoPulse can efficiently manage each stage of the AI engineering process, including design, training, deployment, management, and eventual retirement, ensuring a holistic approach to AI development. Consequently, this platform significantly enhances the productivity and effectiveness of AI initiatives within an organization.

Ivanti Neurons for Zero Trust Access enables businesses to implement a security framework that relies on ongoing verification and minimal access privileges. It achieves this by continuously evaluating user identities, the status of devices, and the permissions for applications, which allows it to apply precise access restrictions and provide approved users with access solely to the resources essential for their tasks. Embrace the future of security with Zero Trust principles, which not only enhances protection but also empowers employees to thrive in an ever-expanding digital environment. This innovative approach fosters a more secure and efficient operational landscape for organizations.

The ARCON | Endpoint Privilege Management solution (EPM) provides endpoint privileges in a ‘just-in-time’ or ‘on-demand’ manner while overseeing all end users on your behalf. This tool is adept at identifying insider threats, compromised identities, and various malicious attempts to infiltrate endpoints. Equipped with a robust User Behavior Analytics component, it monitors typical behaviors of end users, thereby recognizing unusual behavior patterns and other entities within the network. A unified governance framework allows you to blacklist harmful applications, restrict data transfers from devices to removable storage, and offers meticulous control over application access with the capability for ‘just-in-time’ privilege elevation and demotion. Regardless of the number of endpoints resulting from remote work and access, you can secure them all with this singular endpoint management solution. Enjoy the flexibility of elevating privileges at your discretion, whenever it suits you. Plus, the ease of managing all these features through one platform enhances the overall security experience significantly.

Remote Desktop Manager (RDM) consolidates over 50 remote connection types—like RDP (Remote Desktop Protocol), SSH (Secure Shell), and VPNs (Virtual Private Network)—into a single, secure interface. Teams can manage credentials, launch sessions, and monitor access with built-in role-based access control (RBAC) and logging. Add the Remote Connection & IT Management package to pair RDM with Gateway, Hub (SaaS) or Server (on-prem) for just-in-time access, centralized vaulting, and full session oversight.

Devolutions Privileged Access Manager (PAM) identifies privileged accounts, automates the process of password changes, manages check-out approvals, enforces just-in-time (JIT) privilege escalation, and meticulously records every session, thereby offering small and midsize businesses (SMBs) the level of control typical of larger enterprises without the associated complications. When PAM is combined with the Privileged Access Management package, it seamlessly integrates into Devolutions Hub, available as either a Software-as-a-Service (SaaS) option or as a self-hosted solution on Devolutions Server. Additionally, Remote Desktop Manager facilitates one-click access, while Gateway ensures secure tunnel connections. This cohesive stack transitions users from standing privileges to a comprehensive zero-standing-privilege model, all managed through a single interface that features detailed Role-Based Access Control (RBAC) and tamper-proof audit logs, giving organizations peace of mind regarding their security posture. Furthermore, this integration simplifies the management of critical access controls, allowing SMBs to focus on their core operations.

Enhance the protection of your ICS and OT resources by utilizing our zero-trust network access solution, specifically designed for industrial environments and challenging conditions, to facilitate secure remote access and effectively implement cybersecurity measures across a broad spectrum. With this approach, achieving secure remote access to operational technology has become more straightforward and scalable than ever before. Experience increased operational efficiency and enjoy peace of mind with Cisco Secure Equipment Access, which enables your operations team, contractors, and OEMs to remotely manage and troubleshoot ICS and OT assets through a user-friendly industrial remote access tool. You can easily set up least-privilege access based on identity and contextual policies, while also enforcing security protocols such as scheduling, device posture verification, single sign-on, and multifactor authentication. Eliminate the hassle of complicated firewalls and DMZ configurations. Cisco Secure Equipment Access seamlessly integrates ZTNA into your industrial switches and routers, allowing you to connect to more assets, minimize the attack surface, and scale your deployments effectively. This means that your organization can focus on innovation and growth while maintaining robust security measures.

Manage APIs seamlessly across both cloud environments and on-premises systems: Alongside Azure, implement API gateways in conjunction with APIs hosted in various cloud platforms and local servers to enhance the flow of API traffic. Ensure that you meet security and compliance standards while benefiting from a cohesive management experience and comprehensive visibility over all internal and external APIs. Accelerate your operations with integrated API management: Modern enterprises are increasingly leveraging API architectures to foster growth. Simplify your processes within hybrid and multi-cloud settings by utilizing a centralized platform for overseeing all your APIs. Safeguard your resources effectively: Choose to selectively share data and services with employees, partners, and clients by enforcing authentication, authorization, and usage restrictions to maintain control over access. By doing so, you can ensure that your systems remain secure while still allowing for collaboration and efficient interaction.

Model Edge supports the comprehensive lifecycle of models by simplifying the management, development, validation, and governance of your entire portfolio, including AI, all from a single platform. By streamlining operations, Model Edge enhances your confidence in the program through essential tools that demonstrate model effectiveness and explainability to both internal and external stakeholders. The platform features robust model recording and documentation capabilities within a unified environment. Additionally, it offers a complete inventory of models along with an audit trail that monitors historical and real-time modifications and updates. Utilize a centralized cloud-based environment to oversee every phase of a model’s lifecycle, from its initial conception to full implementation. You can effectively manage your workflows for model development and validation while also monitoring progress across various programs, ensuring that each step is tracked and optimized. This comprehensive approach not only fosters better collaboration but also enhances accountability throughout the model management process.

Token Security presents an innovative strategy tailored for the booming era of Non-Human Identities (NHI), emphasizing a machine-first approach to identity security. In today's digital landscape, identities are omnipresent and often unmanaged; they manifest as machines, applications, services, and workloads, continuously generated by various sources throughout the day. The intricate and sluggish nature of managing these identities has resulted in an attack surface that organizations find difficult to navigate. Rather than concentrating solely on human identities, Token prioritizes the resources being accessed, swiftly revealing who accesses which resources, identifying vulnerabilities, and ensuring security without disrupting operations. Furthermore, Token adeptly identifies all identities across cloud environments, seamlessly integrating intricate components such as Kubernetes, databases, servers, and containers, thereby consolidating relevant identity data into a cohesive perspective. This comprehensive approach not only enhances security but also simplifies the management of identities within increasingly complex infrastructures.

Mistral AI’s Forge is a powerful enterprise AI platform designed to help organizations build highly specialized models using their own proprietary data and knowledge systems. It offers a comprehensive pipeline that spans pre-training, synthetic data generation, reinforcement learning, evaluation, and deployment. Businesses can customize models by incorporating internal datasets, ontologies, and workflows, ensuring outputs are aligned with real operational needs. Forge supports advanced techniques such as RLHF, LoRA, and supervised fine-tuning to refine model behavior and performance efficiently. The platform includes robust evaluation frameworks that focus on enterprise KPIs, enabling organizations to measure real-world impact rather than relying on standard benchmarks. With flexible infrastructure options, companies can deploy models across private cloud, on-premises environments, or Mistral’s compute layer without vendor lock-in. Forge also provides lifecycle management tools to track model versions, datasets, and training configurations with full traceability. Its synthetic data generation capabilities allow teams to create high-quality training examples, including rare edge cases and compliance-specific scenarios. Security and governance are built into every stage, with strict data isolation and auditable workflows. Overall, Forge empowers enterprises to turn their internal knowledge into scalable, production-grade AI systems.

Nova serves as a unified suite of services designed for managing Microsoft 365 environments. Whether you're overseeing a single tenant or a multitude, Nova provides enhanced operational oversight and control, alleviating significant burdens from IT teams through advanced automation, user delegation, and policy management—all within a single interface. It offers actionable insights at every operational tier, ensuring comprehensive control and stability of the platform. By consolidating essential management functions into one streamlined platform, Nova allows users to turn insights into decisive actions with just a click. Its intelligent Office 365 license management feature offers clear visibility into unused licenses, enabling organizations to promote usage, reallocate resources effectively, and minimize expenses. Furthermore, Nova incorporates a sophisticated role-based access control system that ensures secure and limited access for end-users to perform designated tasks, adhering to a least-privilege approach. This not only enhances security but also broadens the platform's value across vital business operations, extending its benefits well beyond just IT administration and support functions. Ultimately, Nova equips organizations with the tools needed to optimize their Microsoft 365 experience and drive overall efficiency.

Effortlessly integrate various and intricate identities for Linux and Unix systems into Microsoft Active Directory, which helps in mitigating breach risks and limiting lateral movement through a dynamic, just-in-time privilege elevation approach. Enhanced features such as session recording, auditing, and compliance reports support thorough forensic investigations into privilege misuse. By centralizing the discovery, management, and user administration of Linux and UNIX environments, organizations can achieve swift identity consolidation within Active Directory. With the Server Suite, adhering to Privileged Access Management best practices becomes straightforward, leading to improved identity assurance and a considerably diminished attack surface, characterized by fewer identity silos, redundant identities, and local accounts. The management of privileged user and service accounts can be seamlessly handled from both Windows and Linux within Active Directory, employing just-in-time, finely-tuned access control through RBAC and our innovative Zones technology. Additionally, a comprehensive audit trail facilitates security evaluations, corrective measures, and compliance reporting, ensuring robust oversight of access and activities. This holistic approach not only streamlines identity management but also fortifies overall security posture.

Sagify enhances AWS Sagemaker by abstracting its intricate details, allowing you to devote your full attention to Machine Learning. While Sagemaker serves as the core ML engine, Sagify provides a user-friendly interface tailored for data scientists. By simply implementing two functions—train and predict—you can efficiently train, fine-tune, and deploy numerous ML models. This streamlined approach enables you to manage all your ML models from a single platform, eliminating the hassle of low-level engineering tasks. With Sagify, you can say goodbye to unreliable ML pipelines, as it guarantees consistent training and deployment on AWS. Thus, by focusing on just two functions, you gain the ability to handle hundreds of ML models effortlessly.

Amazon DataZone serves as a comprehensive data management solution that empowers users to catalog, explore, share, and regulate data from various sources, including AWS, on-premises systems, and third-party platforms. It provides administrators and data stewards with the ability to manage and oversee data access with precision, guaranteeing that users possess the correct level of permissions and contextual understanding. This service streamlines data access for a diverse range of professionals, such as engineers, data scientists, product managers, analysts, and business users, thereby promoting insights driven by data through enhanced collaboration. Among its notable features are a business data catalog that enables searching and requesting access to published datasets, tools for project collaboration to oversee and manage data assets, a user-friendly web portal offering tailored views for data analysis, and regulated data sharing workflows that ensure proper access. Furthermore, Amazon DataZone leverages machine learning to automate the processes of data discovery and cataloging, making it an invaluable resource for organizations striving to maximize their data utility. As a result, it significantly enhances the efficiency of data governance and utilization across various business functions.