Alternatives to AgentShield

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.

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.

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.

Willow serves as a comprehensive enterprise platform designed to manage AI agents, tools, MCP servers, skills, and plugins. It facilitates the connection of various agents like Claude, ChatGPT, Cursor, Codex, Gemini, n8n, and customized agents to internal frameworks and SaaS applications such as Jira, GitHub, Slack, and databases via an MCP gateway. Each agent is assigned a human-linked identity, specific permissions, and an audit trail for accountability. Security teams are tasked with establishing policies while employees have the ability to self-service approved connectors, skills, and plugins as needed. Among its features are shadow AI discovery, PII redaction, prompt-injection inspection, app- and action-level permissions, as well as integrations for SSO, SCIM, and RBAC with platforms like Okta, Entra ID, and JumpCloud. Additionally, Willow offers capabilities for SIEM export, token and cost tracking, and operates background agents to enhance functionality. The platform is accessible in various deployment models, including SaaS, dedicated cloud, or on-premises within a customer’s VPC. With a SOC 2 Type II attestation and compliance with GDPR, Willow has gained traction and is currently utilized in production by notable companies such as Wix, Innovid, and Riskified, ensuring it meets high industry standards. This versatility and commitment to security make Willow a robust choice for organizations looking to harness the power of AI responsibly.

Expand your market reach by leveraging AI agents to promote your products and services. You can create a tailored pricing strategy and streamline your sales process through automation with Skyfire. By utilizing the Skyfire SDK, you can empower your agent to explore and facilitate payments for services, data, and necessary infrastructure. Additionally, you can automate payment processes in line with your unique business rules and requirements. Make your offerings accessible to the rapidly expanding segment of AI agents, enhancing your sales opportunities. Integration of Skyfire’s SDK can be accomplished in under 10 minutes, allowing for quick implementation. It's essential to establish a verified identity for your agent to manage authentication and payment processes effectively. Building a trustworthy identity contributes significantly to the integrity of Skyfire’s expanding network of agents, which is vital for fostering secure transactions. For developers, our portal offers comprehensive documentation for integration alongside a dashboard to oversee payment activities and manage API keys and other administrative functions. This seamless integration not only improves efficiency but also ensures a reliable experience for your customers.

The NVIDIA Open Agent Safety Platform serves as an open reference framework designed to monitor and manage the behavior of AI agents continuously, ensuring that organizations can maintain agents that are isolated, observable, auditable, and operate within set boundaries. This platform integrates real-time governance, ongoing threat detection, and the enforcement of policies through hardware isolation, providing robust protection for enterprise AI agents from the initial testing phases all the way to deployment. The NVIDIA OpenShell contributes to this by offering an open-source runtime that differentiates the execution of agents from their access to data, tools, and outside systems, utilizing sandboxed environments and a zero-trust policy approach to strictly regulate agents' visibility, actions, and interactions. Policies are enforced externally to the agent process, effectively mitigating the risks associated with unpredicted behavior. Furthermore, NVIDIA Sentry enhances security by adding an extra layer that meticulously monitors agent requests and responses, verifies agent identities, and continuously manages access to data, tools, APIs, and services while also having the capability to isolate agents when necessary. This comprehensive approach ensures that organizations can safeguard their AI agents while promoting a secure and controlled operational environment.

CloudEagle.ai is an AI-powered SaaS Management, AI Governance, and Identity Governance platform that helps organizations discover, govern, and optimize every SaaS and AI application across the enterprise, including applications outside traditional SSO or IT visibility.

Opal Zero serves as a governance platform for AI agents that provides just-in-time access management by cataloging every agent and linking it with a responsible owner, evaluating access requests, and implementing decisions through the existing MCP gateway. This comprehensive solution allows organizations to maintain a unified inventory across various identity providers and AI platforms, including Okta, Entra, Anthropic, OpenAI, Bedrock AgentCore, and Cursor, revealing the permissions each agent holds and their respective ownership. The Risk Center highlights access that may be misaligned with intended use, unassigned, or excessive, directing concerns to the relevant owner while offering immediate corrective measures. Paladin assesses requests against established policies and contextual information, pinpoints the least-privileged access routes, adheres to ownership boundaries, and elucidates the rationale behind each resolution. By analyzing real user behavior, Policy Insights uncovers instances of redundant access and suggests enhancements to access policies, moving beyond sporadic fixes. Furthermore, Gateway Enforcement ensures that approved access decisions are implemented as specific, temporary policies within the existing gateway infrastructure, thereby fostering a more secure and organized environment for managing AI agents.

Tragentics serves as a robust security platform for AI agents, ensuring that every agent is authenticated, securely retrieves keys from an encrypted Credential Vault—eliminating the need for agents to possess them directly—routes all communications through a content-blind relay, and maintains a metadata-only audit trail that spans various platforms and protocols. This platform does not perform any inference or execute agent logic, nor does it access or store the contents of agent communications. Each agent is assigned a unique permanent ID and an Ed25519 identity, with keys safeguarded at rest using AES-256-GCM encryption, while every interaction is authenticated, subjected to rate limiting, and logged solely as metadata, avoiding any capture of payload data. Moreover, Tragentics is protocol-agnostic, effectively managing traffic for existing agents, including MCP, A2A, ACP, OpenAI, ANP, and DID, providing a comprehensive solution for AI agent security. In this way, it enables organizations to enhance their security measures without compromising the functionality or privacy of their 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.

MudraID is a cloud-based platform designed for identity and trust management, specifically tailored for teams engaged in developing AI agents, APIs, and services that leverage agent capabilities. The platform provides agents with unique cryptographic identities, facilitates scoped and temporary delegation, and assesses requests based on policy, trust, and revocation status at the moment of action. Teams have the ability to issue, rotate, suspend, and revoke credentials for agents, enforce permissions on a per-action basis, and track delegation pathways efficiently. It is compatible with OAuth 2.0, OIDC, JWT/JWKS, MCP authorization, and signed A2A Agent Cards, ensuring a robust framework for secure interactions. For developers, it offers a Python agent SDK and middleware options for FastAPI/Starlette, while a hash-chained audit trail meticulously logs decisions and associated events. MudraID serves as an essential tool for product, platform, security, and IAM teams that require effective management of interactions between agents and services, thereby enhancing overall operational integrity and security. This comprehensive approach ensures that all interactions remain traceable and governed under established policies.

AI Security Guard is a comprehensive solution for safeguarding autonomous AI systems, featuring a protective SDK, versatile product tools, educational resources, and pioneering research focused on the future of agentic technology. The Protection SDK serves as a user-friendly API wrapper, designed to defend AI agents against vulnerabilities such as jailbreaks, prompt injection, and other potentially damaging content before it can impact your models. Powered by this API, AgentGuard360 actively monitors AI interactions in real time, ensuring that harmful content is intercepted before it can reach your agents; this tool offers dual-layer content scanning, supply chain security, and device fortification, all while prioritizing user privacy by keeping data local unless premium analysis is requested. Moreover, the platform is committed to advancing knowledge through original research that explores the implications of autonomous AI, addressing critical topics related to security, privacy, and safety, including insightful reports such as "Shipping the Future." This holistic approach not only enhances the protection of AI but also contributes to a broader understanding of the challenges and opportunities that lie ahead in the realm of autonomous technology.

PayOS is a cutting-edge payment infrastructure platform tailored for the agentic economy, where AI agents and automated workflows handle various commerce tasks. This innovative system operates as a card-first solution, allowing developers and businesses to seamlessly integrate checkout, billing, and financial transactions into agentic workflows, while accommodating all major card networks and offering flexibility with different processors. Users benefit from a straightforward linking of a card, which can then be utilized across diverse agent-driven scenarios, all while maintaining essential human oversight, robust security compliant with PCI standards, and comprehensive access to a global network. The platform supports both push and pull payment methods, recurring billing, and independent money flows, eliminating the requirement for merchants to undergo re-integration processes. Additionally, PayOS enhances its offerings through tokenization and partnerships with networks such as Mastercard and Visa Intelligent Commerce, facilitating the expansion of agentic payment applications on a large scale. With its commitment to innovation and user-friendly features, PayOS is set to redefine the landscape of payment solutions in the evolving economy.

Palo Alto Networks Cortex Agentic Endpoint Security (AES) is an endpoint protection and AI security governance platform designed to secure autonomous agents, developer tools, and software components across enterprise devices. The software provides continuous discovery of AI applications, local language models, MCP servers, browser extensions, IDE plugins, and open-source packages that may introduce security risks. Its AI-native visibility capabilities help security teams identify unauthorized software and previously unmanaged AI tools operating within their environments. Context-aware risk analysis evaluates application behavior, permissions, software supply chain relationships, and access to sensitive resources. The platform maintains an AI Context Graph that connects discovered assets with relevant security information to support risk assessment and investigation. Governance tools allow administrators to establish security policies, restrict unsafe interactions, and remove insecure packages or extensions. Runtime protection monitors autonomous agent activity and blocks prohibited actions, malicious downloads, prompt injection attempts, and potential data exfiltration. Cortex AES integrates with Cortex XDR and Prisma AIRS to combine endpoint monitoring with AI application security and threat prevention capabilities. Organizations can deploy the solution as a standalone security product or alongside existing endpoint security infrastructure, with optional managed protection and investigation services from Palo Alto Networks Unit 42.

Onyx serves as a robust AI control platform designed for the discovery, protection, governance, optimization, and evaluation of AI agents and models within an organization. It provides crucial visibility for security, governance, and AI teams into both authorized and unauthorized AI activities across various environments, including SaaS applications, cloud services, endpoints, and code, encompassing aspects such as prompts, responses, and agent behaviors. The AI Security feature enhances the organization's security posture by pinpointing vulnerabilities and implementing real-time safeguards against potential threats and misuse. Meanwhile, AI Governance ensures compliance with security standards and regulatory mandates by offering opt-in coverage and allowing policy controls to be articulated in natural language. Additionally, AI Orchestration streamlines the process of deploying agents and Multi-Cloud Platforms (MCPs), while optimizing for cost, accuracy, and latency. The AI ROI component facilitates the measurement of adoption, the establishment of objectives, and the tracking of results across various departments within the organization. Furthermore, the Onyx Guardian Agent functions as an overseeing AI, perpetually identifying risks and resolving issues throughout the platform, thereby enabling organizations to effectively manage a large number of agents seamlessly. Ultimately, Onyx empowers businesses to harness the full potential of AI while maintaining control and oversight.

The MCP Census serves as a web-based platform for validating evidence for developers and teams leveraging Model Context Protocol (MCP) servers. It assesses server listings by cross-referencing them with various public indicators, including repository identification, package availability, endpoint health, registry information, and vulnerability announcements. Users have the option to either search for a specific server or submit an MCP configuration, receiving results categorized as PASS, REVIEW, BLOCK, or UNKNOWN, along with justifications and supporting evidence based on a versioned policy. This service is readily available through a dedicated website, REST API, and remote MCP server, making it suitable for integration into agent workflows and continuous integration processes for monitoring configuration changes. Comprehensive setup guides facilitate its connection to development tools and coding agents. Importantly, the MCP Census functions as a preliminary public-evidence filter rather than a malware detection system, penetration testing solution, or a definitive assurance of a server's safety for use. As such, it is crucial for developers to understand its intended purpose and limitations.

Harden AIF serves as a security platform specifically designed for AI coding agents, ensuring agent endpoint security by assessing tool calls prior to execution based on the developer's intent, session context, organizational policy, and the potential impact of the action proposed. This platform effectively safeguards against threats such as harmful commands, unauthorized access, accidental data transfers, exposure of sensitive information, misuse of privileges, and other risky actions undertaken by agents. By allowing legitimate operations to proceed without disruption, it can also safely redact sensitive information during supported workflows while preventing actions that deviate from the developer's intent or exceed their authority from executing. Harden AIF is compatible with a variety of widely used coding agents and development tools, including Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes, and OpenClaw, thus offering a uniform security framework throughout the agent ecosystem. This comprehensive approach not only enhances security but also fosters a safer environment for developers working with AI technologies.

General Analysis serves as a cutting-edge AI security platform designed to aid security teams in adversarially testing, monitoring, and safeguarding AI agents and systems that are actively deployed. Its primary objective is to enable organizations to grasp AI-related risks, avert potential incidents, and secure various real-world AI applications, which include employee copilots, coding agents, customer support tools, healthcare assistants, legal aids, financial copilots, and creative workflows. By mapping out AI applications and agents through an extensive range of parameters such as prompts, retrieval methods, tools, MCP servers, browser activities, permissions, repositories, cloud accounts, SaaS workflows, and business processes, it effectively identifies context-aware attacks that highlight vulnerabilities within the system. The platform's automated red teaming employs adaptable attacker models that respond to target behaviors and generate complex multi-step exploit chains, providing security teams with the ability to discover vulnerabilities that traditional static prompt sets or endpoint-only testing might overlook. Ultimately, General Analysis empowers organizations to enhance their AI security posture while ensuring that their deployments remain resilient against evolving threats.

Pillar Security serves as a comprehensive AI security platform designed to safeguard the agentic workforce throughout the entire AI lifecycle, encompassing stages from development to deployment and ongoing runtime protection. By integrating business context during phases of discovery, testing, and protection, it ensures that security intelligence accumulates across various AI applications, including agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, and both SaaS and cloud environments. The platform enables organizations to identify and manage AI assets effectively, even those that are unapproved or fall under shadow AI, while also evaluating risks related to supply chain and overall security posture. Additionally, it maps out the attack surfaces associated with agentic systems and verifies critical vulnerabilities that need addressing. With its AI Security Posture Management features, Pillar scrutinizes interconnected agents, tools, permissions, data sources, prompts, models, and supply chain elements to reveal high-risk pathways, policy breaches, misconfigurations, and potential threats posed by coding agents, all of which enhance the understanding of the impact when a single component encounters a breach. Ultimately, Pillar Security empowers organizations to maintain a robust security framework while navigating the complexities of AI technology.

StackOne is an enterprise AI agent integration infrastructure platform designed to connect AI assistants and autonomous agents with software applications and business systems. The platform offers more than 570 prebuilt connectors and 35,000 executable actions across HRIS, CRM, applicant tracking, learning management, finance, customer support, identity management, and collaboration applications. Developers can integrate agents through Model Context Protocol, Agent-to-Agent communication, REST APIs, or Python and TypeScript SDKs. Managed authentication simplifies OAuth authorization, SAML authentication, API key management, token refresh, and credential handling across connected applications. Its AI Connector Builder enables developers to create custom integrations and actions for external APIs, including systems that do not have existing prebuilt connectors. StackOne's Falcon execution engine manages API requests, retries, error handling, data transformations, and other execution requirements for agent-driven workflows. Security and governance capabilities include granular permissions, prompt injection protection, user-level access controls, audit trails, and monitoring of agent activities. Dynamic tool discovery and managed data synchronization help agents retrieve relevant information and execute actions without loading unnecessary tool definitions or large datasets into their context windows. The platform supports cloud and self-hosted deployments, enabling organizations to build AI workflows for employee onboarding, sales operations, recruiting, financial processes, and customer support.

AIM Intelligence is a comprehensive AI security platform designed to maintain control over AI systems as they make decisions, invoke APIs, and perform actions within actual business environments. It proactively defends against potential threats to AI before malicious actors can exploit vulnerabilities, implementing real-time guardrails to ensure that every agent adheres to corporate policies. The platform offers an array of integrated solutions, including automated AI red teaming, immediate guardrail enforcement, and consulting on security frameworks, which assist organizations in navigating intricate AI risks throughout both development and production phases. Stinger enhances the process of AI vulnerability detection by simulating countless attack scenarios, facilitating extensive agentic red teaming beyond mere prompt-level threats, and conducting tests across a variety of modalities such as text, image, audio, video, and physical AI, while also allowing for tailored vulnerability assessments based on business logic. Meanwhile, Starfort provides real-time enforcement of AI guardrails by identifying and safeguarding sensitive information, including personally identifiable information (PII) and trade secrets, while also regulating unusual API requests made by autonomous agents. By combining these elements, AIM Intelligence equips organizations with the tools necessary to maintain a secure and compliant AI environment.

Bitdefender AI Guardian is a security application designed for macOS users who work with autonomous AI agents, particularly appealing to developers and technical professionals. The application sets up a local background service along with a command-line interface to monitor agent activities based on policies defined by the user. It meticulously reviews prompts, tool calls, MCP servers, installed skills, and file access, providing the ability to permit, flag, or prevent actions. Additionally, it can analyze skills and MCP servers, safeguard credential paths from agents, and maintain a secure, encrypted local audit log to document decisions for future examination. Users also have the option to receive private alerts through a preferred chat platform. In its beta phase, AI Guardian is compatible with Claude Code, OpenClaw, and Hermes Agent, and is available for free on macOS, with plans for support on additional operating systems in the future. This tool is designed to enhance control over agent actions rather than serve as a replacement for existing AI models, agent frameworks, or traditional antivirus solutions, ensuring a comprehensive approach to security management.

XecGuard, developed by CyCraft, serves as a firewall for trustworthy and agentic AI, specifically engineered to safeguard enterprise AI systems against various threats such as prompt injection, data leakage, and unsafe outputs. Leveraging CyCraft's extensive experience in red and blue teaming within sectors like government, finance, and high-tech manufacturing, XecGuard enhances security measures by integrating AI guardrails with cybersecurity protocols, compliance safeguards, and risk management tactics, ultimately facilitating the safe adoption of enterprise AI. This innovative solution functions as a plug-and-play LoRA security module, allowing organizations to bolster their LLM defenses seamlessly without necessitating modifications to the underlying model architecture, thus ensuring rapid implementation while maintaining optimal performance. By utilizing proprietary security datasets and advanced multi-stage fine-tuning methods, XecGuard significantly improves the resilience of LLMs against adversarial attacks, malicious interventions, and unauthorized extraction of sensitive information, making it an essential component for any enterprise aiming to fortify its AI systems effectively. Furthermore, its ability to adapt quickly to emerging threats underscores its value in today’s fast-evolving technological landscape.

Protect your customers and company from any type of identity risk Technology changes, regulations change, and customers expect better service. You need an identity verification provider that is flexible and adaptable to your needs. GlobalGateway makes it easy for you to access the services that best suit your business's needs now and in the future. Our expertise can be used to support cross-border compliance for Anti-Money Laundering and Counter Terrorism Financing regulations.

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.

Integrate and contextualize identity data from various systems or applications to uncover and mitigate hidden threats. The landscape of identity security is often disjointed, with different teams managing separate stages of the identity lifecycle and relying on various tools and uncoordinated processes. Instead of discarding your current tools, Hydden creates a unified data layer throughout your identity framework. This system autonomously identifies, normalizes, correlates, and models intricate identity-related information, enabling any platform to reveal and act on valuable insights. By fostering collaboration among teams and technologies, Hydden accelerates the advancement of your identity security efforts, ensuring a more cohesive approach to threat detection and response. Ultimately, this integration not only enhances security but also streamlines operations across the board.

OpenWeave serves as a governance mechanism for AI agents and autonomous systems, functioning as a server-enforced state machine that regulates the actions of AI agents and the timing of those actions. Users can outline workflows comprising states, transitions, and authorized triggers; the backend consistently enforces transitions with a strict 403 error, while pivotal states require human approval, effectively preventing bots from acting until a human intervenes. The monitoring feature provides insights into agent activities, ensuring that OpenWeave stops inappropriate actions before they occur. Instead of hardcoding transitions, agents learn about permissible transitions through the API, ensuring that every bot possesses a verifiable identity, and all modifications are logged in an immutable audit trail. The system offers integration through a REST API and a remote MCP server, making it a vital resource for AI-agent developers, AgentOps/MLOps, and platform teams. This comprehensive framework not only enhances security but also streamlines the management of AI workflows, ultimately contributing to safer and more efficient autonomous systems.

Snapper serves as a comprehensive security platform for AI agents, aimed at ensuring thorough governance and protection for organizations that utilize AI across various applications, networks, and systems. It implements runtime enforcement by scrutinizing every action an agent takes, such as tool interactions, API calls, and data access requests, prior to execution, utilizing a multi-layered policy-driven rule engine. Additionally, Snapper provides a holistic view of AI activity by analyzing network traffic, browser usage, DNS queries, and running processes to uncover unauthorized tools and hidden AI applications. It also proactively intercepts outgoing large language model requests via SDK wrappers and a network proxy, allowing it to assess, redact, and document sensitive information in real time. Enhancing its security features, Snapper possesses sophisticated threat detection mechanisms that can recognize prompt injection tactics, exploit chains, unusual behaviors, and complex attack patterns, leveraging behavioral baselines, kill chain analysis, and a composite trust scoring system for robust protection. Ultimately, Snapper represents a critical asset for organizations seeking to navigate the risks associated with AI deployment while maintaining operational integrity.

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.

Enkrypt AI is an AI security and compliance platform built to protect generative AI applications, autonomous agents, models, data, and AI infrastructure. It provides security agents and controls for detecting vulnerabilities, preventing threats, continuously monitoring AI systems, and automating compliance processes. Enkrypt AI's red teaming capabilities dynamically generate use-case-specific attacks that adapt during testing to uncover security, safety, and brand risks that static evaluations may miss. The platform addresses threats including prompt injection, jailbreaking, data leakage, model inversion, adversarial attacks, policy violations, hallucinations, model drift, bias, toxic content, deceptive behavior, and unmonitored agent actions. Real-time guardrails inspect AI interactions and can stop threats as they occur while continuously adapting based on prompts and observed activity. Monitoring capabilities provide ongoing visibility into AI risk and compliance so organizations can identify issues, track protection effectiveness, and maintain evidence for audits. Enkrypt AI can translate internal organizational policies and external regulatory requirements into automated guardrails to reduce manual compliance work. Its product portfolio includes Agent Red Teaming, Agent Guardrails, an Agent Policy Engine, AI Data Risk Audit, MCP Scanner, and MCP Gateway, with solutions for customer-facing agents, frontier models, third-party AI risk, AI compliance, MCP security, and secure AI development. The company also maintains an LLM Safety Leaderboard that continuously red teams and benchmarks more than 200 AI models to help organizations evaluate model security and safety.

Flint AI serves as a local-first and framework-agnostic AgentOps command-line interface designed to assist developers in assessing the reliability of AI agents prior to their deployment in production environments. By executing the command flintai scan, users can evaluate Python source code for various issues such as security flaws, misconfigurations, and inadequate safety measures, while also employing AI reasoning to filter out potential false positives. Additionally, the command flintai eval tests a running agent by sending both functional and adversarial prompts, grading its responses against over 35 established criteria, which encompass aspects like factual accuracy, adherence to instructions, and resilience against prompt injections and jailbreak attempts. Each evaluated agent is assigned a reliability score, with the results linked to the OWASP Agentic Security Initiative risk categories ASI01 through ASI10 and severity assessed via CVSS v4.0 metrics. Flint AI is compatible with several agent frameworks and SDKs, including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen, ensuring a broad range of applications in the development ecosystem. Furthermore, this versatile tool not only enhances the security and quality of AI agents but also streamlines the evaluation process, ultimately fostering greater confidence in AI deployment.

F5 AI Guardrails is an enterprise AI security platform that provides runtime protection for deployed AI models, agents, and applications across diverse environments. The solution is designed to address emerging AI risks by monitoring interactions, enforcing policies, and preventing malicious attempts to manipulate AI behavior. Organizations can use the platform to defend against prompt injection attacks, jailbreak techniques, data leakage incidents, and other adversarial threats targeting AI systems. Distributed data protection capabilities inspect AI interactions in real time and help enforce data loss prevention policies across applications and models. The platform includes automated compliance features that support frameworks and regulations such as GDPR, HIPAA, and the European Union AI Act. Advanced observability and auditing tools provide detailed records of AI activity, enabling stronger governance and accountability. F5 AI Guardrails also supports dynamic model routing and low-latency security controls to maintain operational performance while enforcing protections. Model-agnostic functionality allows organizations to secure both proprietary and open-source AI models using a unified approach. By integrating security, compliance, observability, and runtime protection, F5 AI Guardrails helps organizations confidently scale their AI initiatives.

Microblink delivers next-generation identity verification and fraud prevention through a fully adaptive AI architecture built for speed, scalability, and resilience. Its end-to-end platform spans ID document and biometric verification, AML watchlist screening, payment card capture, liveness detection, and address or age verification—all powered by proprietary AI. Unlike static verification systems, Microblink’s models evolve continuously to detect deepfakes, synthetic identities, and behavioral anomalies in real time. Organizations can choose between cloud-based, regional, or on-device processing, ensuring full data sovereignty and privacy compliance. With 20+ client-side ML models and 6x smaller SDKs than leading alternatives, it delivers faster onboarding and seamless user experiences. Trusted by global brands such as KLM, Allianz, Hard Rock, and UNHCR, Microblink verifies over 65 million identities monthly across 160+ countries. The platform’s adaptive UX dynamically adjusts capture guidance for optimal success rates and accessibility. Combining precision, privacy, and speed, Microblink empowers enterprises to balance frictionless user journeys with robust fraud defense.

Bitdefender VPN for AI Agents is a macOS application designed to direct network requests from compatible AI agents through Bitdefender’s VPN servers. This utility facilitates connections for applications like Claude Desktop, Cursor, Codex, and OpenCode via Bitdefender's MCP tools. Each individual prompt is assigned a unique encrypted connection along with an isolated container that terminates once the prompt is completed, allowing users to choose an exit location for testing in different regions. Aimed primarily at individual developers and freelancers, this tool is particularly useful for tasks involving web research, quality assurance, and comparisons. However, it is important to note that this is not a comprehensive VPN for the entire device, as it does not protect traffic outside the specified agent tools nor does it obscure prompts from the AI service provider. The beta version of the installer is compatible with macOS 13 or newer on Apple silicon, with no support for Intel Macs at this time, although there are plans for Windows compatibility in the future. This innovative tool offers a streamlined solution for developers looking to enhance their workflow with enhanced privacy and security when using AI-driven applications.

Secure Traces is an AI-first technology and cybersecurity provider that helps enterprises modernize operations while maintaining strong security and compliance controls. Its primary focus areas include agentic AI, healthcare and pharmaceutical technology, cyber defense, cloud modernization, Oracle platforms, and enterprise applications. The company develops autonomous AI agents, LLM pipelines, intelligent automation, and model governance capabilities that can move enterprise workflows from analysis into action. Healthcare and life sciences services include clinical, pharmacy, payer, and modernization solutions designed for HIPAA and GxP-aligned environments. Cybersecurity offerings include 24/7 SOC operations, threat research, threat hunting, defense engineering, risk management, and operational technology monitoring across SCADA, ICS, and field systems. Secure Traces also provides ERP and enterprise application services, including Oracle Fusion Cloud implementations and custom business applications. Its engagement model typically moves through assessment and discovery, strategic planning, implementation and monitoring, and ongoing response and optimization. The company holds certifications including ISO 9001 and ISO/IEC 20000-1:2018 and positions provable security as a core part of its delivery approach. Secure Traces is intended for enterprises that need to adopt AI, modernize regulated technology environments, and improve cyber resilience without separating innovation from security.

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.

Mountain Theory is the antivirus for AI: every action an AI agent is about to take is checked against your rules before it runs. Mountain Theory controls what autonomous AI agents can do. Every action an agent is about to take is checked against your rules before it runs, and comes back ALLOW, HOLD or BLOCK. An agent that works around a block is stopped on the workaround. An agent that drifts off its task is caught. New bad behavior is stopped the day it appears, with no new rule written. Personal data is kept from leaving your environment, and instructions hidden in emails and documents are blocked. Rules are plain English, so changing one takes no code. Every decision is logged for your auditor. It works with any AI you already use, in your environment or the cloud. Our recorded tests are published with the misses included.

Visa Intelligent Commerce represents an AI-based commercial framework that allows intelligent agents to find, suggest, and finalize purchases securely on behalf of users within the Visa ecosystem. This system offers comprehensive functionalities that enhance tailored shopping experiences by incorporating secure payment features directly into AI-driven platforms. It also supplies specific payment tokens and management tools for agents, allowing authorized AI systems to conduct transactions safely in accordance with user-defined permissions and guidelines. Designed to expedite AI-driven commerce, it merges Visa's extensive payment capabilities with inherent safeguards against fraud, disputes, and unauthorized transactions, thus enabling merchants to provide smooth and reliable transactions. Furthermore, through a combination of integrated APIs and a secure infrastructure, developers are empowered to incorporate Visa payment information into AI applications, allowing for autonomous agents to explore, shop, and complete payments while ensuring clarity and transparency throughout the process. This innovation not only enhances the shopping experience but also builds trust between consumers and merchants in the digital marketplace.

Bevel serves as a vendor-neutral, Git-integrated control plane tailored for enterprise AI agents, allowing organizations to define their agents, context, skills, tools, permissions, and identities as owned files within their infrastructure, which can then be accessed by any agent runtime through MCP. The context is organized as typed knowledge nodes, each with documented provenance detailing its source, the last modification, and verification timestamps, and this information is compiled into a navigable graph that can be updated and utilized for creating dashboards. Skills are articulated as straightforward Markdown procedures, enabling process owners to easily read, review changes, and transfer them across different runtimes. Additionally, tool manifests outline the capabilities available, while sensitive information is stored securely in a vault, governed by access rules that dictate which agents can read certain files or invoke specific endpoints. Each agent is assigned a unique identity and credentials, ensuring that all actions can be traced back to their source. This comprehensive framework not only enhances security and organization but also promotes transparency and accountability in AI operations.

Transitioning from development to production, as well as from traditional data engineering to artificial intelligence, requires securing the various environments, pipelines, tools, and open-source components integral to your data and AI supply chain. It is essential to continuously identify, prevent, and rectify security and compliance vulnerabilities in AI before they reach production. In addition, monitoring AI applications in real-time allows for the detection and mitigation of adversarial AI attacks while enforcing specific application guardrails. Noma integrates smoothly across your data and AI supply chain and applications, providing a detailed map of all data pipelines, notebooks, MLOps tools, open-source AI elements, and both first- and third-party models along with datasets, thereby automatically generating a thorough AI/ML bill of materials (BOM). Additionally, Noma constantly identifies and offers actionable solutions for security issues, including misconfigurations, AI-related vulnerabilities, and non-compliant training data usage throughout your data and AI supply chain. This proactive approach enables organizations to enhance their AI security posture effectively, ensuring that potential threats are addressed before they can impact production. Ultimately, adopting such measures not only fortifies security but also boosts overall confidence in AI systems.

Amplify Console is a security orchestration platform built as an agentic security harness for security engineering teams. The platform helps teams move from idea to production by creating, testing, deploying, tracking, and reporting on custom agentic security detections. Unlike general-purpose coding agents, Amplify Console is designed around security-native workflows, deep codebase context, and cloud-to-production execution. Its custom detection agents can be tailored to a company’s specific risks, priorities, and environment. Security-native context gives teams visibility across codebases and maps relationships that generic agents may miss. The platform also supports custom triage, reachability analysis, automated remediation, live integrations, and narrative-based reporting. The Reachability Engine helps teams focus on vulnerabilities that are actually reachable or exploitable. Automated remediation supports one-click fixes that can be customized, reviewed, and coordinated with developers. By combining custom detection agents, security workflow context, pipeline execution, triage automation, reachability analysis, remediation, integrations, and reporting, Amplify Console helps security teams move faster and reduce low-value vulnerability work.

Quest Identity Defense, previously known as Security Guardian, is a hybrid identity security platform for protecting Active Directory and Microsoft Entra ID from identity-based threats. The platform continuously observes human and non-human identities to identify Tier 0 exposures, privileged attack paths, risky configurations, anomalous behavior, and other identity vulnerabilities. Identity posture management compares AD and Entra ID configurations with security best practices and provides guidance for remediating identified weaknesses. Proactive object protection helps prevent critical Tier 0 assets from being improperly changed or compromised rather than relying exclusively on rollback after an incident. Quest's Shields Up functionality and agentic AI defense capabilities can automatically freeze at-risk users or critical objects, contain active threats, and limit attacker lateral movement. Continuous anomaly monitoring and detailed auditing show who changed what, when and where the activity occurred, and the workstation from which a change originated. AI-driven analysis converts identity telemetry into security insights and remediation guidance intended to help teams investigate threats and respond more quickly. A flexible API enables organizations to integrate Identity Defense information with existing security tools and custom workflows, while the platform is also designed to support audit and compliance requirements. Quest Identity Defense covers identity security functions across the Identify, Protect, Detect, Respond, Recover, and Govern pillars of the NIST Cybersecurity Framework and is FedRAMP High authorized.

Mindgard is an automated AI red teaming and offensive security platform purpose-built for AI systems and agents. It continuously red teams models, agents, and applications to find the vulnerabilities most likely to cause a breach, validates whether guardrails and controls hold, and shows security and engineering teams how to close each gap. Tests emulate real attacker behavior across prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, with findings mapped to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Mindgard cuts AI risk assessment from weeks to hours and supports continuous compliance as AI systems change. Modules: AI Discovery & Recon, AI Red Teaming, AI Assessment, AI Runtime Protection, Model Scanning, AI Governance & Compliance.

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.

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.