Alternatives to MudraID

Auth0 takes a modern approach to Identity and enables organizations to provide secure access to any application, for any user. Auth0 is highly customizable, and simple yet flexible. Safeguarding billions of login transactions each month, Auth0 delivers convenience, privacy, and security so customers can focus on innovation. With Auth0, you can rapidly integrate authentication and authorization for web, mobile, and legacy applications, with new Fine Grained Authorization (FGA) that goes beyond role-based access control.

Technology is essential for business. Without it, technology can't be trusted. Today's "work from anywhere" era means that managing and controlling access to every digital identity is crucial for the protection of your business as well as the data it runs on. Only SailPoint Identity security can help you empower your business and manage cyber risk from the explosion in technology access in the cloud enterprise. This will ensure that every worker has the right access to their job, no more, no lesser. Unmatched visibility and intelligence is achieved while automating and speeding the management of all user identities and entitlements. With AI-enhanced visibility, you can automate, manage, and govern access in real time. Allow business to operate in a cloud-critical and threat-intensive environment with speed, security, and scale.

Frontegg is a modern Customer Identity and Access Management (CIAM) platform purpose-built for SaaS applications. It gives developers a robust, low-code toolkit to implement advanced identity features like multi-factor authentication (MFA), single sign-on (SSO), passwordless login, and role-based access control (RBAC) without spending weeks wiring up custom flows. Designed with developers in mind, Frontegg supports rapid integration via SDKs and APIs for Node.js, React, Python, and more. It includes built-in support for OpenID Connect, SAML, OAuth2, and Webhooks, and ships with pre-configured components for login, signup, user management, and organization hierarchies. Whether you're building multi-tenant apps, complex subscription logic, or entitlement enforcement, Frontegg scales with you. Beyond the initial integration, Frontegg offloads identity maintenance from engineering by enabling non-technical teams to manage identity-related tasks through a secure admin portal. Product, Infosec, and Customer Success teams can enforce security policies, manage users, configure auth flows, and respond to customer needs without dev involvement. Security teams can monitor and enforce identity compliance standards through real-time dashboards and built-in audit trails. Frontegg also ensures continuous updates to identity protocols, so developers don't have to worry about chasing evolving standards. Frontegg reduces developer toil, shortens go-to-market timelines, and keeps engineering focused on high-impact product work. All while maintaining the security, scalability, and flexibility required by modern SaaS platforms.

SatGate functions as a governance and accountability layer for AI agents, regulating their access, expenditure, delegation, and execution capabilities prior to any interaction with APIs, models, MCP tools, or external paid services. Operating as an HTTP reverse proxy and MCP proxy, it implements scoped authority, individual agent budgets, routing policies, and next-request revocation directly within the request workflow. Agents initiate their access by authenticating through established systems like Kubernetes, AWS, or OIDC, after which SatGate Mint converts that identity into a cryptographically signed Macaroon that delineates limits regarding scope, budget, expiration, and delegation depth. The architecture ensures that permissions can only tighten as requests traverse through agent chains, effectively stopping sub-agents from exceeding their authorized capabilities. In addition, the Observe mode tracks requests and analyzes resource usage categorized by agent, team, tool, route, and cost center while preserving existing workflows, whereas the Control mode imposes strict budgetary limits to prevent unauthorized or costly actions from being executed. This dual functionality allows organizations to maintain oversight while granting necessary freedoms to their AI agents.

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.

Keycard is an advanced identity and access management platform tailored for the era of agent-driven technology, facilitating secure connections among AI agents, users, services, and APIs through real-time identity controls driven by policies. Instead of relying on static secrets, it generates dynamic, short-lived access tokens and accommodates federated identity systems to unify users, agents, and workloads within a decentralized authorization structure. Developers can leverage convenient SDKs compatible with popular frameworks, enabling them to create applications aware of agents without needing extensive IAM knowledge. The platform’s data architecture encompasses identity-validated agents, tasks, tools, and resources, which facilitate the establishment of logical zones equipped with permissions that are context-aware and subject to auditing. Additionally, security teams have the capability to formulate deterministic, task-oriented policies that clarify who (whether a user or agent) is permitted to perform certain tasks on specific resources under designated conditions, ensuring complete transparency in access control. This comprehensive approach not only enhances security but also improves operational efficiency across various systems.

NewCore serves as a cutting-edge identity provider designed for both humans and AI agents, centered around a unified identity core that ensures every identity is visible, secure, and monitored from the point of access through to auditing. It recognizes employees, contractors, partners, machines, delegated agents, and autonomous workloads as primary identities within a singular framework. The Identity Security component fortifies trust associated with access using features such as single sign-on, passkeys, phishing-resistant multi-factor authentication, secure token signing, strength scoring for authenticators, and policies that are aware of security measures. Utilizing a Secure Split Key mechanism, it divides the signing authority between NewCore’s cloud infrastructure and the customer's own environment, ensuring that neither entity can independently sign a valid token. Furthermore, the Identity Discovery feature creates a comprehensive live graph that encompasses humans, agents, accounts, applications, authenticators, sessions, and access pathways, thereby illuminating shadow accounts, orphaned credentials, and unmanaged agents, which can pose security risks. This holistic approach to identity management not only enhances security but also streamlines the process of tracking and managing diverse identities within an organization.

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.

Permiso is a cloud identity security platform designed to secure every human, non-human, and AI identity across enterprise environments. At the core of the platform is the Universal Identity Graph, which continuously maps identities to credentials, machines, workloads, AI agents, permissions, and runtime activity. This allows security teams to maintain visibility across cloud infrastructure, SaaS applications, CI/CD systems, AI agents, and on-premises environments even when identities move across authentication boundaries. Permiso provides identity discovery, identity security posture management, runtime identity monitoring, threat detection, exposure analysis, and incident response from a single platform. The platform continuously evaluates identity usage patterns, entitlements, stale access, overprivileged accounts, inherited permissions, and runtime behavior to prioritize identities that present the greatest security risk. Its runtime attribution capabilities extend visibility beyond authentication events into agent executions, tool calls, MCP invocations, serverless functions, and machine identities. Permiso also detects lateral movement, credential compromise, anomalous behavior, insider threats, and identity-driven attacks using real-time runtime and control plane telemetry. Organizations can use the platform to secure human users, service accounts, vendors, workloads, APIs, non-human identities, and AI agents across complex enterprise environments. Permiso helps security teams reduce identity-related risk while improving detection, investigation, and response capabilities throughout the identity lifecycle.

Defakto Security offers a robust platform that authenticates every automated interaction by providing temporary, verifiable identities to non-human entities like services, pipelines, AI agents, and machines, thereby removing the need for static credentials, API keys, and enduring privileges. Their comprehensive non-human identity and access management solution facilitates the identification of unmanaged identities across diverse environments such as cloud, on-premises, and hybrid settings, the issuance of dynamic identities in real time based on policy specifications, the enforcement of least-privilege access principles, and the generation of complete audit-ready logs. The solution comprises several modules: Ledger, which ensures ongoing discovery and governance of non-human identities; Mint, which automates the creation of purpose-specific, temporary identities; Ship, which enables secretless CI/CD workflows by eliminating hard-coded credentials; Trim, which optimizes access rights and eliminates excessive privileges for service accounts; and Mind, which safeguards AI agents and large language models using the same identity framework employed for workloads. Each module plays a critical role in enhancing security and streamlining identity management across various operational contexts.

Idira serves as the advanced identity security platform from Palo Alto Networks, tailored for the AI-driven enterprise and aimed at safeguarding every type of identity—human, machine, and agentic—through a singular control plane. It revolutionizes privileged access management by broadening privilege oversight to encompass all identities that can interact with sensitive systems, encompassing data, applications, cloud services, workloads, endpoints, secrets, certificates, SSH keys, and AI agents. By identifying identity risks, it dynamically adjusts privileges and manages the entire lifecycle from initial access to the conclusion of a session. Idira shifts from a static, always-available access approach to one that emphasizes dynamic privilege, just-in-time access, and zero standing privilege, while ensuring continuous verification and policy-driven controls with real-time enforcement based on identity, device, and contextual factors. Moreover, for human identities, it consolidates privileged access, workforce access, endpoint privilege management, and identity governance, providing organizations with the tools needed to mitigate privilege sprawl effectively. This comprehensive approach not only enhances security but also streamlines operational efficiency across the organization.

KYDE serves as a behavioral firewall designed specifically for AI agents, ensuring they can be entrusted with significant responsibilities. By delineating prohibited actions, documenting completed tasks, and safeguarding your proprietary knowledge, KYDE enhances the reliability of AI agents. Positioned externally, KYDE operates in the request pathway between your agents and all LLM providers, systematically intercepting, scoping, and signing each action prior to execution. This external placement ensures it cannot be overridden by the agent itself, maintaining strict control. With no need for code alterations and only one environment variable required, KYDE is both provider-agnostic and ready for multi-cloud platforms, targeting a latency of under 100 milliseconds. It encompasses three essential functions within a single layer. The first is PROVE, which creates an audit trail that remains independent of any LLM provider; actions are signed using Ed25519, hash-linked, and recorded at the boundary, making them irretrievable by the agent. In this scenario, the perpetrator cannot fabricate their own account. The second function is RATE, which evaluates agent behavior across different providers on a unified scale known as the KYDE Trust Score™. While vendors assess their own performance, KYDE focuses on objectively grading agent behavior, creating a more transparent evaluation system. Finally, this comprehensive framework not only enhances accountability but also fosters an environment of trust in AI interactions.

Identity serves as the primary channel for lateral movement and data breaches, making it essential to address this vulnerability effectively. SlashID provides a robust solution for establishing a secure, compliant, and scalable identity infrastructure. You can oversee the creation, rotation, and deletion of identities and secrets from one centralized platform, offering a complete inventory across various cloud environments. The system enables you to identify initial access attempts, privilege escalation, and lateral movements within your identity providers and cloud platforms. Enhance your services with features like authentication, authorization, conditional access, and tokenization. It also allows for real-time detection of compromised key materials, which helps to thwart data breaches by facilitating timely rotation. In response to any detected threats, you can automatically block, suspend, rotate credentials, or enforce multi-factor authentication (MFA) to mitigate the effects of an attack. Additionally, you can incorporate MFA and conditional access protocols into your applications, ensuring a higher level of security. Furthermore, you can extend these authentication and authorization capabilities, along with credential tokenization and conditional access, to your APIs and workloads, thereby fortifying your entire infrastructure.

Attestly operates as an advanced AI governance and compliance platform that automates the transformation of operational execution traces into documentation that meets the standards of the EU AI Act. Tailored for companies, AI developers, and compliance professionals, the platform actively collects real-time execution logs from AI agents and produces verifiable documentation to ensure adherence to Article 12 requirements. Notable Features Include: - Automated Article 12 Compliance: Real-time capture of AI agent trace data is conducted continuously. - Zero-Trust Cryptographic Ledger: This feature utilizes append-only ledgers, cryptographic hash chaining, and Merkle tree proofs to ensure the immutability of the evidence collected. - Regulator-Ready Auditing: The platform offers independent WASM verifiers that facilitate transparent validation by third parties while safeguarding sensitive payload data. - Continuous Runtime Visibility: Attestly eliminates the need for periodic manual audits by implementing automated logging of decisions and ongoing risk monitoring, enhancing overall operational transparency. The result is a comprehensive solution that not only streamlines compliance but also bolsters trust in AI operations.

Emergence Orchestrator functions as an independent meta-agent that manages and synchronizes the interactions of AI agents within enterprise systems. This innovative tool allows various autonomous agents to collaborate effortlessly, handling complex workflows that involve both contemporary and legacy software systems. By utilizing the Orchestrator, businesses can efficiently oversee and coordinate numerous autonomous agents in real-time across a multitude of sectors, enabling applications such as supply chain optimization, quality assurance testing, research analysis, and travel logistics. It effectively manages essential tasks including workflow organization, compliance adherence, data protection, and system integration, allowing teams to concentrate on higher-level strategic objectives. Among its notable features are dynamic workflow orchestration, efficient task assignment, direct agent-to-agent communication, an extensive agent registry that maintains a catalog of agents, a specialized skills library that enhances task performance, and flexible compliance frameworks tailored to specific needs. Additionally, this tool significantly reduces operational overhead, enhancing overall productivity within enterprises.

Vulnify serves as a runtime authorization platform tailored for developers and security teams creating AI agents that interact with tools or APIs. Prior to executing a tool, the agent transmits action metadata—which encompasses details about the agent, the action being taken, the resource involved, the destination, and the count of records—and subsequently receives a decision categorized as ALLOW, REVIEW, or BLOCK, accompanied by a risk score ranging from 0 to 100 along with justifications. Teams have the flexibility to define and test YAML policies via a command-line interface, while also incorporating checks through Node.js or Python SDKs, a REST API, or various adapters compatible with agent frameworks. Additionally, the monitor mode enables the logging of decisions without hindering actions, and in the event that Vulnify becomes unavailable, a fail-closed protocol will prevent actions unless a fail-open setting is established. An audit log that utilizes hash chaining maintains a record of decisions made, with paid subscriptions offering the inclusion of human review processes. Typical applications of Vulnify include overseeing data exports, managing external communications, processing payments, and other actions initiated by agents. It is important to note that Vulnify focuses on evaluating action metadata instead of the actual contents of the records affected, ensuring a streamlined approach to authorization. Overall, this unique system helps enhance security and compliance for AI-driven operations.

Scalekit is an authentication and integration platform designed specifically for AI agents that need to securely connect with SaaS applications, APIs, MCP servers, databases, and internal systems. The platform enables agents to act on behalf of individual users instead of using shared service accounts, ensuring every action follows the user's identity, permissions, and approved access scopes. Scalekit manages delegated OAuth authentication, secure credential vaulting, token lifecycle management, authorization checks, and API communication without requiring developers to build that infrastructure themselves. Developers can connect to more than 100 prebuilt integrations or create custom connectors for proprietary services and internal APIs. Built-in handling for pagination, retries, rate limiting, and error management simplifies tool execution while improving application reliability. Every request is logged with a complete delegation chain that records the user, agent, connector, permissions, and resulting actions for auditing and compliance. The platform supports encrypted credential storage, regional deployments, private cloud options, SIEM integrations, and enterprise-grade security controls. Scalekit also extends beyond AI agents by providing SaaS authentication capabilities such as SSO, SCIM provisioning, RBAC, passwordless authentication, and user management. By combining delegated identity, secure authentication, and production-ready connector infrastructure, Scalekit enables organizations to build trustworthy AI agents without the complexity of managing authentication themselves.

Atako serves as a collaborative platform where human users and AI agents seamlessly interact and work together. This innovative workspace provides you with a team of AI agents, each equipped with their own computer, designated roles, and specific tasks to manage, allowing them to navigate the web, manipulate files, utilize various software applications, and complete missions over time. - Inter-agent collaboration: Agents can assign tasks to one another, solicit feedback, and transfer responsibilities as needed. - Human notifications: When an agent requires a decision, permission, or encounters an obstacle, it signals for assistance, and you can respond with just a single click. - Joint projects: Both humans and agents collaborate on a unified board, while a wiki maintains a comprehensive record of the project's evolution. - Centralized dashboard: Monitor the current activities of each agent, review their accomplishments, and identify areas where your input is required. - Tailored permissions for integrations: Connect to various tools such as Slack, Notion, GitHub, and HubSpot, among 190+ others, and specify the access rights for each agent on a per-tool basis. You can choose from any model, including OpenAI, Anthropic, or Mistral, using Atako credits or your own API key, and enjoy a 14-day free trial without the need for a credit card. Additionally, this platform ensures that both human oversight and AI efficiency work in harmony to enhance productivity.

Transform your approach to managing non-human identities by replacing manual and vulnerable access methods with our automated and transparent Workload IAM platform. Streamline your workload-to-workload access management just as you do for users, utilizing automated, policy-driven, and identity-centric controls to proactively mitigate the risks associated with non-human identities. Aembit enhances security by cryptographically validating workload identities in real time, ensuring that only authorized workloads can access your sensitive information. By integrating short-lived credentials into requests exactly when needed, Aembit eliminates the need for storing or safeguarding secrets. Access rights are dynamically enforced based on real-time assessments of workload security posture, location, and other essential behavioral metrics. Aembit provides robust security for workloads across cloud environments, on-premises systems, and SaaS applications. This comprehensive solution not only improves security but also simplifies the management of identity access across various platforms.

AgentShield is an innovative identity platform designed to authenticate both human users and AI agents representing them. It allows organizations to verify an agent's identity, confirm the authorization from the individual behind the agent, and assess the agent's reliability, all through user-friendly APIs and JavaScript integrations. This platform also features capabilities for identifying agent interactions on websites and implements identity and permission validations for both agent-to-agent and agent-to-service communications, adhering to the open Model Context Protocol Identity (MCP-I) standards. Additionally, with the KYA feature, companies can effectively oversee agent identities and their permissions, establish audit trails, automate workflows, and apply precise access controls for autonomous systems. This comprehensive approach not only safeguards against the misuse of digital identities but also promotes clarity when AI systems operate on behalf of users, ultimately enhancing trust in digital interactions. As technology evolves, maintaining such robust security measures becomes increasingly crucial for organizations navigating the complexities of digital identity management.

AgentWorks is an all-encompassing platform designed for the seamless operation of autonomous AI agents across various enterprise boundaries, facilitating secure interactions and independent transaction capabilities. It integrates essential elements such as Agent ID, which offers identity verification, authentication, and authorization for AI agents; AgentRegistry, a feature that aids in the registration, discovery, and Know-Your-Agent (KYA) verification processes; AgentTalk, a patented protocol that ensures secure communication and transactions between agents; AgentConnect, which allows agents to link up with websites, metaverses, and digital ecosystems; AgentWallet, a wallet infrastructure where agents can keep their Agent ID, digital assets, and currencies, available in both a mobile format for human users and an embedded version managed autonomously by the agents; and AgentWizard, a tool designed for the assignment of unique Agent IDs, registration of agents, and provisioning of wallets. This innovative suite empowers agents to conduct transactions autonomously in practical, real-world scenarios, thereby enhancing operational efficiency and security across various sectors. Ultimately, AgentWorks represents a pivotal advancement in the realm of AI agent functionality and interactivity.

Having permanent elevated privileges makes your organization vulnerable to potential data breaches and account damage from both insider threats and hackers around the clock. By utilizing Britive's Just In Time Privileges, which are granted temporarily and automatically expire, you can effectively reduce the risk associated with your privileged identities—both human and machine. This approach allows you to uphold a zero standing privilege (ZSP) model across your cloud environments without the complexity of creating your own cloud privileged access management (PAM) system. Additionally, hardcoded API keys and credentials, which often come with elevated privileges, are prime targets for attacks, and there are significantly more machine IDs utilizing them compared to human users. Implementing Britive's Just-in-Time (JIT) secrets management can greatly minimize your exposure to credential-related threats. By eliminating static secrets and enforcing zero standing privileges for machine IDs, you can keep your cloud accounts secure. Furthermore, it's common for cloud accounts to become excessively privileged over time, especially as contractors and former employees tend to retain access even after their departure. Regularly reviewing and revoking unnecessary privileges is essential to maintaining a secure and efficient cloud environment.

Takibi serves as a collaborative repository for AI agents where a human administrator categorizes documents into various projects and folders while managing access permissions through Profiles. Agents can access specific quoted excerpts along with a score indicating the strength of the evidence, using either the command line interface or application programming interface; however, Takibi itself does not provide generated responses. Additionally, the platform features agent Notes, which are considered untrusted and are limited to a 30-day lifespan, requiring human oversight for classification as Keep, Add to draft, or Remove, with options for draft export; these sources are not deemed reliable and are not shared between Profiles, and they are never automatically upgraded to trusted status. Furthermore, the workspace allows for agent-to-agent interactions through Conversations, includes task management with review options, and supports export in the Open Knowledge Format, facilitating comprehensive collaboration among users. This rich array of features is designed to enhance the efficiency and effectiveness of AI agents within the Takibi environment.

Astrix provides a robust solution for ensuring that your essential systems maintain secure connections to third-party cloud services by enhancing access management and threat mitigation for various elements such as API keys, OAuth tokens, and service accounts. Our agentless and straightforward deployment process allows you to identify and address risky app-to-app interactions that could lead to supply chain compromises, data leaks, and regulatory breaches. You will receive a comprehensive overview of all connections to your vital systems, including both internal and external applications, access keys, secrets, and operational workflows. Additionally, you can identify and eliminate over-privileged, unnecessary, and untrusted connections, and receive alerts if any application exhibits suspicious behavior. This proactive approach not only safeguards your infrastructure but also promotes a culture of security awareness within your organization.

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.

Mindra serves as a proactive orchestrator for flexible AI workflows, centered on teams of agents that you can genuinely assign tasks to. When you outline your requirements, Mindra assembles a dedicated team of agents that operate around the clock, communicate effectively, and take actionable steps within your entire system. Each team comprises specialists, each focused on a particular channel, tool, or area of expertise, collaboratively sharing information, delegating tasks, and completing projects through structured workflows and real-time coordination. Every decision and attempt is meticulously documented, ensuring that if a tool encounters an issue or an API hits its limit, the agent can navigate the situation while maintaining a complete record that is easy to audit, replay, and troubleshoot. Beyond simple communication, Mindra agents are capable of pausing campaigns, optimizing spending, reallocating budgets, and posting updates to platforms like Slack and email, all while logging each action with the option to reverse changes. Teams can articulate their objectives, and Mindra designs a tailored orchestrator that outlines the necessary sub-agents and tools it will employ, ensuring a personalized and effective approach to workflow management. This dynamic system empowers organizations to maintain agility in their operations while fostering seamless collaboration among specialized agents.

Linx Security is an innovative identity security and governance platform that leverages AI to provide organizations with comprehensive visibility and control over the complete identity lifecycle. This platform empowers teams to effectively map, monitor, and manage both human and non-human identities across various applications, cloud setups, and on-premises systems, significantly minimizing blind spots and reducing the potential for identity-related attacks. By offering an integrated solution that merges identity, security, and IT operations, Linx allows organizations to efficiently manage access, implement policies, and ensure compliance from a centralized point of operation. Through the use of AI-driven analytics, Linx continuously evaluates identity relationships, entitlements, and access behaviors to identify risks, irregularities, and vulnerabilities, such as inactive accounts, excessive permissions, insufficient authentication measures, or absent security protocols. Additionally, it features capabilities like identity security posture management, just-in-time access, and lifecycle automation, enabling businesses to eliminate standing privileges and enhance their security posture. Ultimately, Linx Security provides a holistic approach to identity management that adapts to the evolving challenges faced by organizations today.

Supervise over a million cold-chain parcel shipments each year to guarantee timely delivery and enhanced efficiency. Your supply chain team is overwhelmed with data and caught up in routine tasks. Achieve operational consistency and retain your supply chain workforce by implementing our Visibility OS. This system focuses on two fundamental ideas—digital twins and digital agents—which establish a robust framework for dependable, transparent, and scalable supply chain automation. Merge your supply chain information into high-fidelity digital twins to gain deeper insights. Assign process management and analytics to smart digital agents designed to integrate seamlessly into your supply chain activities. Access comprehensive details about every aspect of your supply chain processes from existing systems, APIs, and devices, enabling full automation. Entrust intricate analyses and repetitive tasks to digital agents, tailored to fit smoothly within your supply chain operations. With the Visibility OS, digital twins are meticulously detailed, tracking everything from individual shipments to pallets, crates, containers, and order lines, ensuring accuracy at every level. This innovative approach not only streamlines operations but also enhances decision-making capabilities throughout the supply chain.

Kosmoy helps enterprise teams answer practical questions about production AI: which systems are running, who owns them, what they cost and which controls apply. Its inventory records AI systems, models, agents and MCP servers with ownership and risk assessments. Monitoring tracks usage, costs and behaviour across applications. The AI Gateway applies access controls, guardrails, routing and logging to LLM, MCP and agent-to-agent traffic. Action Capsule provides runtime isolation and a kill switch for autonomous agent actions. Kosmoy runs in the customer Kubernetes environment, in the cloud or on premises. AI platform, security, risk and compliance teams can use the same inventory and operational evidence when reviewing AI use cases.

QCecuring's SSL Certificate Lifecycle Management is an enterprise solution aimed at automating the processes of discovering, issuing, renewing, rotating, and monitoring SSL and TLS certificates across both hybrid and cloud settings. By centralizing the visibility of certificates and machine identities, it eliminates disjointed manual workflows, creating a comprehensive inventory that includes expiry notifications, ownership tracking, and adherence to policies. The platform efficiently identifies certificates via network scans, API integrations, and lightweight agents across various environments, including public and private Certificate Authorities, servers, load balancers, appliances, and cloud services. With automated workflows for renewal and rotation, it effectively mitigates the risk of service disruptions due to expired or unmonitored certificates. QCecuring also offers seamless integration with ITSM, SIEM, orchestration tools, and DevSecOps pipelines, thereby enhancing operational efficiency while reinforcing cryptographic governance. Additionally, it implements role-based access controls to ensure secure processes for issuance, renewal, and revocation. This comprehensive approach not only improves security but also streamlines the management of digital certificates across the organization.

Khorus serves as a versatile platform designed to create a universal communication framework for intelligent systems, empowering developers, startups, and businesses to construct, launch, and profit from networks of AI agents and robotic workflows. At the heart of the platform lies an innovative Agent-to-Agent (A2A) architecture, which facilitates the coordination of tasks, contextual sharing, and collaboration among AI agents, moving beyond simple data exchange. The platform accommodates scalable modules across various sectors including IoT, gaming, robotics, and Web3, while also integrating an on-chain agent economy that leverages standards like ERC-8004 and X402, allowing for the publication, licensing, and monetization of agents and workflows within a marketplace. Users are able to delineate agent roles, skills, and workspaces, connect APIs and integrations, initiate workflows, and track task progression. Furthermore, they can offer their agents or automation blueprints for others to utilize, thereby generating a stream of recurring revenue through their contributions to the ecosystem. As a result, Khorus not only enhances collaboration among AI agents but also fosters a sustainable model for innovation and income generation.

Buzz serves as a self-hosted workspace that facilitates collaboration between humans and AI agents within shared environments, all managed by a team-owned relay. This platform unifies discussions, automated agents, workflows, repositories, documents, searches, and other digital assets into one cohesive workspace that operates under a single identity model and comprehensive event log. Each interaction—whether it be a message, reaction, workflow progression, approval, canvas modification, huddle occurrence, or Git action—is meticulously documented as a cryptographically signed Nostr event, ensuring that both individuals and processes have access to a consistent audit trail. Unlike traditional bots, agents in Buzz are treated as team members; they can be integrated into channels just like any colleague, equipped with individual keys and specific memberships, enabling them to perform tasks such as opening repositories, sending patches, reviewing code, executing workflows, modifying canvases, coordinating with other agents, creating channels, joining voice huddles, and connecting the appropriate individuals to the task at hand. In addition to these features, Buzz offers the ability to search through project history, providing users with relevant answers accompanied by supporting threads, patches, runs, and approvals, ultimately enhancing the collaborative experience. By fostering an integrated environment, Buzz empowers teams to leverage the strengths of both human and AI collaboration effectively.

Fleece AI serves as a collaborative AI workspace designed to facilitate effortless workflow automation without requiring any coding skills. It leverages autonomous AI agents to streamline tasks by integrating over 3,000 applications. By simply describing tasks in straightforward terms, these AI agents can link different applications, create workflow maps, and carry out complete automation processes from start to finish. Users can construct hierarchical teams of agents that reflect the structure of real organizations: a lead agent can delegate tasks to specialized sub-agents, gather their outputs, and provide final results—all without the need for supervision. This powerful tool can be utilized for various applications, such as managing email, updating customer relationship management systems, generating reports, processing invoices, and synchronizing data across different applications. In essence, Fleece AI transforms complex automation into a simple, efficient process that enhances productivity across numerous tasks.

Kagent is a versatile, open-source framework specifically designed for cloud-native AI agents, allowing teams to construct, deploy, and operate autonomous agents within Kubernetes clusters to streamline complex operational processes, troubleshoot cloud-native infrastructures, and oversee workloads with minimal human oversight. This framework empowers DevOps and platform engineers to develop intelligent agents capable of comprehending natural language, planning strategically, reasoning effectively, and executing a series of actions across Kubernetes environments by utilizing integrated tools and Model Context Protocol (MCP)-compatible integrations for various functions, including metric queries, pod log displays, resource management, and service mesh interactions. Additionally, Kagent facilitates communication between agents to orchestrate intricate workflows and includes observability features that enable teams to track and assess agent performance and behavior. Furthermore, its compatibility with multiple model providers, such as OpenAI and Anthropic, enhances its versatility and adaptability within diverse operational contexts.

Every app, build pipeline and AI agent that calls Stripe, OpenAI or any other third-party API needs that API key. So copies of live keys pile up in .env files, CI settings, laptops and agent environments, and each copy is one more place a key can leak from: a poisoned package, a prompt-injected agent, a compromised build or a config file pushed by mistake. A stolen key keeps working until someone notices, then has to be replaced everywhere it was copied. KnoxCall keeps the real key in one place and adds it to each call on its way out. Your apps, pipelines and agents hold only a KnoxCall token. If a token leaks, one click revokes it everywhere, without rotating the provider key. Every call is logged with the name of the app or agent that made it. Because every call already passes through KnoxCall, it's also the natural place to put guardrails on AI agents. Each agent can be given its own spending limit, every prompt is checked before it reaches the model, and the personal data KnoxCall detects is swapped out before the model sees it, then put back in the reply. Security teams stay in control of the foundations. CI jobs can authenticate with workload identity instead of a stored secret, and on the Enterprise plan you can lock your keys with a master key held in your own cloud account and manage access through your existing single sign-on and SCIM provisioning. KnoxCall fits the stack you already use, with SDKs for Node, Python, Go, PHP, Ruby, React and the browser. Start on the free plan with no card required, or move to a paid plan from $19 a month.

Amazon Bedrock AgentCore allows for the secure deployment and management of advanced AI agents at scale, featuring infrastructure specifically designed for dynamic agent workloads, robust tools for agent enhancement, and vital controls for real-world applications. It is compatible with any framework and foundation model, whether within or outside of Amazon Bedrock, thus eliminating the burdensome need for specialized infrastructure. AgentCore ensures complete session isolation and offers industry-leading support for prolonged workloads lasting up to eight hours, with seamless integration into existing identity providers for smooth authentication and permission management. Additionally, a gateway is utilized to convert APIs into tools that are ready for agents with minimal coding required, while built-in memory preserves context throughout interactions. Furthermore, agents benefit from a secure browser environment that facilitates complex web-based tasks and a sandboxed code interpreter, which is ideal for functions such as creating visualizations, enhancing their overall capability. This combination of features significantly streamlines the development process, making it easier for organizations to leverage AI technology effectively.

asqav is a cutting-edge platform focused on AI governance and security, aimed at ensuring that AI agents are always prepared for audits by offering real-time oversight, enforcement, and a reliable record of each action performed by the agents. It features a streamlined SDK that empowers developers to embed governance functionalities directly into their AI agents with minimal code, facilitating comprehensive monitoring throughout the entire lifecycle of AI activities. Additionally, the platform incorporates behavioral analysis to identify potential problems like drift, rate limits, and scope breaches, as well as sophisticated threat detection mechanisms that can recognize issues such as prompt injections, leaks of sensitive information, harmful outputs, and other dangers. Policy enforcement is achieved through customizable “policy gates,” which implement specific rules for each agent, conduct preflight assessments, and provide dynamic approvals before any actions are taken, thereby guaranteeing that agents function within established parameters. Furthermore, asqav enhances security with automated incident response features, allowing for the suspension, isolation, or escalation of agents deemed risky, all of which contribute to a robust framework for maintaining AI accountability and safety. In this way, asqav not only safeguards AI operations but also promotes trust in their deployment across various sectors.

kgateway is a widely deployed Kubernetes gateway designed to power modern microservices and AI-driven workloads. It serves as a control plane for advanced ingress, API management, and AI gateway use cases. Built on Envoy and open-source foundations, kgateway implements the Kubernetes Gateway API for consistent, cloud-native connectivity. The platform aggregates APIs and applies authentication, authorization, and rate limiting in one centralized layer. Kgateway also protects AI models, tools, and agents by securing LLM consumption and data access. Intelligent routing capabilities support AI inference workloads directly inside Kubernetes clusters. The platform scales from lightweight microgateways to massively parallel centralized gateways. Kgateway supports agent-to-agent and MCP-based communication through a single secure endpoint. It enables omni-directional API connectivity across hybrid and multi-cloud environments. Kgateway helps organizations innovate faster while maintaining security and governance.

The OpenAI Agents SDK allows developers to create agent-based AI applications in a streamlined and user-friendly manner, minimizing unnecessary complexities. This SDK serves as a polished enhancement of our earlier agent experimentation project, Swarm. It features a concise set of core components: agents, which are large language models (LLMs) with specific instructions and tools; handoffs, which facilitate task delegation among agents; and guardrails, which ensure that agent inputs are properly validated. By leveraging Python alongside these components, users can craft intricate interactions between tools and agents, making it feasible to develop practical applications without encountering a steep learning curve. Furthermore, the SDK includes integrated tracing capabilities that enable users to visualize, debug, and assess their agent workflows, as well as refine models tailored to their specific needs. This combination of features makes the Agents SDK an invaluable resource for developers aiming to harness the power of AI effectively.

Flowra is a cloud-based platform that facilitates the development and execution of AI agents and automated workflows using natural language commands. Users can articulate a task, integrate various business applications via OAuth, and construct an agent capable of selecting tools during execution, following a predetermined workflow, or functioning as a coordinator that assigns tasks to subordinate agents. Executions can be initiated manually, scheduled, triggered by application events, through messaging platforms, a website widget, or via an API. Certain steps can include approval gates that allow for pauses, giving individuals the chance to review, modify, approve, or reject actions before they move forward. A comprehensive run ledger captures both inputs and outputs for later analysis. Additionally, users have the flexibility to create custom tools from API endpoints or concise scripts and can register MCP servers to enhance functionality. Flowra caters to a range of applications, including customer support, lead routing, generating email summaries, sending notifications, and managing issue triage. Delivered as a hosted service, it offers a user-friendly web dashboard, developer SDKs, and a command-line interface, making it accessible for various technical levels. This versatility ensures that businesses can streamline their processes effectively while leveraging AI capabilities to improve efficiency and productivity.

As data undergoes reconstruction for cloud environments, the concept of identity has evolved, now encompassing not just individuals but also service accounts and principals. In this context, authorization emerges as the most genuine representation of identity. The complexities of a multi-cloud landscape necessitate an innovative and adaptable strategy to safeguard enterprise data effectively. Veza stands out by providing a holistic perspective on authorization throughout the entire identity-to-data spectrum. It operates as a cloud-native, agentless solution, ensuring that your data remains safe and accessible without introducing any additional risks. With Veza, managing authorization within your comprehensive cloud ecosystem becomes a streamlined process, empowering users to share data securely. Additionally, Veza is designed to support essential systems from the outset, including unstructured and structured data systems, data lakes, cloud IAM, and applications, while also allowing the integration of custom applications through its Open Authorization API. This flexibility not only enhances security but also fosters a collaborative environment where data can be shared efficiently across different platforms.

Vestra operates as an AI Agent Office, providing a dedicated space to oversee AI agents that efficiently handle real tasks, everyday routines, and entire responsibilities, returning completed work. Unlike traditional chat assistants, Vestra's agents actively perform jobs by utilizing their own dedicated cloud environments where they can browse the internet, manage files, execute software, and integrate with your regular tools via secure OAuth permissions. You can communicate tasks in straightforward language while retaining oversight, observe their progress in real-time, adjust their actions mid-task, and approve any flagged items before they proceed. These agents are designed to be persistent, meaning they remember your preferences and context, becoming increasingly capable with each completed task. You can assign them tasks like managing recurring routines, sorting your inbox, conducting lead research, and generating scheduled reports, all while running multiple tasks simultaneously. Access your agents through the web platform, desktop application, or messaging apps like WhatsApp, Telegram, or iMessage; they continue their work in the cloud even when you're not connected. Simply delegate a responsibility to them and return to find it completed efficiently. With Vestra, the process of managing tasks becomes seamless and productive, allowing you to focus on more strategic aspects of your work.

AQtive Guard serves as a comprehensive cybersecurity solution designed to assist organizations in safeguarding and overseeing their cryptographic assets alongside non-human identities (NHIs) like AI agents, keys, certificates, algorithms, and machine identities throughout their IT infrastructure. The platform provides ongoing discovery and immediate visibility into both NHIs and cryptographic elements, seamlessly integrating with current security tools, cloud services, and repositories to deliver a cohesive understanding of security status. By leveraging cutting-edge AI and extensive quantitative models, AQtive Guard evaluates vulnerabilities, ranks risks, and presents actionable insights with automated remediation workflows that address issues and uphold policies such as credential rotation and certificate renewal. Furthermore, the platform ensures compliance with the latest standards, including emerging NIST cryptographic protocols, while facilitating the lifecycle management of cryptographic assets to mitigate risks associated with both present and future threats. In this way, AQtive Guard not only fortifies security but also enhances organizational resilience against evolving cyber challenges.

Caterfli serves as a hosted platform for AI agents, facilitating connections to PostgreSQL or MySQL databases, REST APIs, OpenAPI services, and MCP servers. It identifies existing tables, endpoints, and tools, subsequently creating draft agents for user review and customization. Teams can interact using natural language via web chat, with additional access through Telegram, Slack, and WhatsApp available on certain plans. These agents possess the capability to read data, create or modify records, generate reports, and delegate tasks to other agents as needed. Workspace roles and permissions are established to restrict actions based on user authority, while policy checks ensure that each tool call and its parameters are validated. Actions deemed destructive or high-risk are designed to require human intervention before execution. Comprehensive execution traces and change logs facilitate thorough review processes. Caterfli caters to teams desiring a conversational interface for their existing business systems without the need to transfer their data elsewhere. The free plan offers one connection alongside one agent, while premium options provide enhanced limits and additional functionalities for users. Ultimately, Caterfli empowers teams to leverage AI in a seamless manner, enhancing their operational efficiency.

Phinite offers a comprehensive shared infrastructure designed for the efficient construction, deployment, and governance of AI agents, encompassing orchestration, security, observability, lifecycle management, and environment promotion, which allows engineering teams to avoid the repetitive task of rebuilding these foundational layers for each new agent application. Key features include orchestration capabilities for multi-agent systems that facilitate agent-to-agent interactions and nested calls, in-depth session-level observability that tracks execution timelines, decision variables, tool usages, and associated latency and cost metrics. Additionally, Phinite boasts a Private Agent Registry to enhance skill discoverability, an evaluation suite for assessing accuracy and safety benchmarks, and a streamlined Dev-to-Production workflow that supports seamless environment promotion. Moreover, it enables Kubernetes-native deployments and VPC-internal deployability while ensuring adherence to SOC 2 Type 2 compliance standards, ultimately providing a robust environment for developing AI agents efficiently. This combination of features not only enhances productivity but also fosters innovation within engineering teams.