Top Harden Alternatives

Bitdefender AI Guardian is a specialized security application crafted for macOS users who engage with autonomous AI agents, making it particularly beneficial for developers and tech-savvy professionals. This application establishes a local background service paired with a command-line interface that keeps an eye on agent activities according to user-defined policies. It carefully evaluates prompts, tool calls, MCP servers, installed skills, and file access, enabling users to allow, flag, or block specific actions. Moreover, it offers capabilities to scrutinize skills and MCP servers, protect credential paths from agents, and maintain a secure, encrypted local audit log to record decisions for future reference. Users can also opt to receive discreet alerts through their preferred chat platforms. In its beta stage, AI Guardian supports platforms like Claude Code, OpenClaw, and Hermes Agent and is available for free on macOS, with intentions to extend support to other operating systems down the line. This tool is specifically intended to bolster control over agent actions rather than substitute existing AI models, agent frameworks, or conventional antivirus software, thereby ensuring a holistic approach to security management. Ultimately, Bitdefender AI Guardian aims to empower users with enhanced oversight while fostering a safer environment for AI interactions.

HOL Guard serves as a protective layer for AI agents, functioning primarily on a local basis to oversee the behavior of AI assistants and proactively avert potentially dangerous actions. Acting as a buffer between the AI agent and the computer, it evaluates tool usage and access to local resources, looking out for threats such as the leakage of secrets and credentials, harmful commands, actions influenced by prompt injections, and the utilization of tampered or suspicious packages, as well as unsafe configurations and unvalidated plugins, skills, hooks, and settings. Identified threats can be swiftly blocked, while uncertain activities are paused to obtain user approval, thus ensuring that users retain control over the process. The entire operation is confined to the developer's local environment, negating the need for an internet connection and ensuring that no files, prompts, or sensitive data are uploaded to external servers. Typically, local assessments are completed in under 50 milliseconds, and implementing Guard does not require any alterations to existing code or workflows. It is versatile and works seamlessly with several coding agents, including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, offering tailored integrations that scrutinize actions before they are carried out. Furthermore, this bolsters the overall safety and dependability of AI interactions, leading to enhanced confidence in automated systems. Overall, HOL Guard significantly contributes to a secure operational environment for AI assistants, making it an essential tool for developers focused on safeguarding their work.

AI Security Guard provides a robust solution for protecting autonomous AI systems, incorporating a protective SDK, adaptable product tools, informative resources, and innovative research aimed at the future of intelligent technology. The Protection SDK acts as an accessible API wrapper, crafted to shield AI agents from threats such as jailbreaks, prompt injections, and other harmful content before they can adversely affect your models. Utilizing this API, AgentGuard360 continuously monitors AI interactions in real-time, effectively blocking harmful content from reaching your agents; this tool features dual-layer content scanning, supply chain protection, and device reinforcement, all while emphasizing user privacy by maintaining data locally unless advanced analysis is requested. Additionally, the platform is dedicated to fostering understanding through original research that examines the repercussions of autonomous AI, tackling essential issues related to security, privacy, and safety, including noteworthy publications like "Shipping the Future." This comprehensive strategy not only strengthens the security of AI systems but also adds to the broader discourse on the challenges and prospects that autonomous technology presents for the future. Furthermore, by prioritizing user-centric designs and ongoing research, AI Security Guard ensures that the evolving landscape of AI remains safe and beneficial for all stakeholders involved.

Kastra acts as a vital authorization framework for AI systems, establishing the permissions of agents, models, and tools before they are executed. Situated along the execution path of numerous interactions, including prompts, tool calls, shell commands, database transactions, and API requests, it assesses each action through deterministic, attribute-based policies, making decisions to allow, deny, redact, or escalate in less than a millisecond. Unlike monitoring solutions that merely observe AI activities after they occur, Kastra takes a preemptive stance, blocking unauthorized actions before they can affect any tools, APIs, databases, or production systems. Its extensive control plane encompasses a policy engine, edge decision-making features, multiple integrations, and a tamper-proof evidence vault that securely records each decision for future auditing and replay. Additionally, with the introduction of Kastra Edge, local enforcement capabilities are broadened to developer environments, protecting coding agents like Claude Code, Cursor, and Codex CLI from malicious commands, unauthorized data access, unsafe file changes, and incorrect tool usage. This forward-thinking approach to authorization not only bolsters security but also guarantees compliance and accountability in AI-driven operations, fostering a more trustworthy environment for users. By ensuring that all actions are rigorously vetted, Kastra significantly mitigates potential risks associated with AI technologies.

Eyrane represents a cutting-edge AI security platform currently under development, tailored for teams engaged in security and engineering, particularly those overseeing agents and automated processes. Its core purpose is to aid organizations in pinpointing an array of elements such as agents, models, tools, MCP servers, identities, credentials, permissions, and interconnected systems, while also charting the access routes between these various components. The platform is designed to implement runtime policies that determine whether actions by agents are authorized, need further scrutiny, or are outright forbidden, based on criteria such as identity, permissions, tools, and the sensitivity of the data at play. Furthermore, Eyrane assesses the performance of agents in the context of potential threats, including prompt injection, tool misuse, privilege abuse, data exfiltration, and issues related to MCP. Its potential uses include managing agent inventories, conducting access audits, real-time monitoring, bolstering MCP security, and supporting AI red teaming efforts. Eyrane ultimately strives to empower security and engineering teams in deploying AI agents across business applications and workflows, ensuring thorough oversight and control throughout the process. With its emphasis on balancing security and operational efficiency, Eyrane emerges as an essential asset in the dynamic realm of AI governance, poised to adapt to future challenges as they arise.

Palo Alto Networks Cortex Agentic Endpoint Security (AES) is an AI-native endpoint security platform developed to protect organizations from threats introduced by autonomous AI agents, developer tools, and dynamically executed software. The solution extends traditional endpoint protection by providing visibility into non-binary software components and AI systems operating with access to enterprise devices and resources. Its discovery capabilities identify AI coding agents, local language models, browser extensions, IDE plugins, Model Context Protocol servers, and open-source software packages. The platform detects unauthorized or unmanaged AI applications and maintains an inventory of software components that may create security exposures. Its AI Context Graph analyzes relationships between agents, tools, permissions, software dependencies, and sensitive resources to provide contextual risk assessments. Continuous risk evaluation helps security teams identify vulnerable packages, excessive permissions, malicious extensions, and potential software supply chain threats. Governance capabilities include configurable security policies, automated guardrails, application controls, and removal of insecure software components. Runtime protection monitors agent actions and can intercept unauthorized tool execution, malicious downloads, and potentially destructive operations before they reach the host system. Integration with Prisma AIRS provides additional protection against prompt injection, unsafe AI interactions, malicious URLs, and potential data exfiltration. Cortex AES can operate as a standalone solution, integrate directly with Cortex XDR, or extend protection alongside compatible third-party endpoint detection and response platforms.

AgentKey provides a smooth integration of your AI agents with various external data sources through a single access key, allowing them to carry out actual tasks with efficiency. Although your agent may be knowledgeable enough to perform certain actions, it still needs the right APIs and services to carry them out effectively. With AgentKey, this entire procedure is simplified, enabling the agent to perform thorough searches, retrieve information from web pages, collect social insights, and integrate context from diverse fields such as finance, ecommerce, business, cryptocurrency, and on-chain data in one unified operation. This tool is specifically designed to function with platforms like Claude Code, Codex, Cursor, Windsurf, Gemini CLI, OpenClaw, Hermes, Antigravity, and Warp, along with any system compatible with MCP or Skills files, thus providing agents with the ability to tap into a vast pool of information without needing to juggle multiple provider dashboards. The search functionalities include services like Brave Search, Tavily, Serper, Perplexity, Parallel, and Exa, while the scraping capabilities utilize tools such as Firecrawl, Jina, and Bright Data to transform web content into actionable insights. By employing this cutting-edge solution, not only is operational efficiency significantly improved, but agents are also empowered to produce results that are more informed and enriched with context. Consequently, AgentKey represents a transformative leap in how AI agents can interact with and utilize data from diverse sources.

Willow is an all-encompassing enterprise platform crafted for the management of AI agents, tools, MCP servers, skills, and plugins. It enables seamless integration of a multitude of agents, including Claude, ChatGPT, Cursor, Codex, Gemini, n8n, and tailored agents into both internal systems and SaaS solutions like Jira, GitHub, Slack, and various databases through an MCP gateway. Each agent is equipped with a unique human-linked identity, designated permissions, and a detailed audit trail to ensure accountability. Security teams are responsible for developing policies, while employees can independently access approved connectors, skills, and plugins as required. Among its many features are shadow AI discovery, redaction of PII, prompt-injection inspection, permissions at both app and action levels, alongside integrations for SSO, SCIM, and RBAC with platforms such as Okta, Entra ID, and JumpCloud. Furthermore, Willow provides functionalities for SIEM export, tracking of tokens and costs, and operates background agents to boost overall performance. The platform is offered in various deployment options, including SaaS, dedicated cloud, or on-premises deployment within a customer’s VPC. With a SOC 2 Type II attestation and adherence to GDPR regulations, Willow has achieved significant adoption and is currently in active use by leading companies like Wix, Innovid, and Riskified, ensuring it aligns with stringent industry benchmarks. This combination of versatility and a strong focus on security positions Willow as an excellent option for organizations aiming to responsibly leverage AI technologies. Ultimately, its comprehensive features and commitment to compliance empower businesses to navigate the complexities of AI integration with confidence.

Preloop is an open-source control plane tailored for AI agents that can execute real-world tasks, featuring a robust multi-layered security system. This includes an MCP firewall for tool access management, an AI model gateway that promotes cost efficiency, safety, and accountability, along with policy-as-code that emphasizes human oversight, all while ensuring runtime session visibility and maintaining audit trails in a self-hosted environment. As AI agents rapidly gain the ability to deploy code, alter infrastructure, manage financial transactions, access production data, and generate model costs nearly instantaneously, Preloop equips teams with the tools to oversee agent activities, track spending, and identify which actions require human approval. It supports an array of tools such as OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any agents compliant with MCP standards. Moreover, access rules can assess not just tool names but also their arguments and context, utilizing CEL expressions to set specific conditions. Teams are also given the option to start with observability features and gradually implement approval and denial processes without needing SDKs or significant changes to current applications, facilitating a more efficient rollout. This comprehensive strategy not only ensures that organizations retain control over the functionalities of their AI agents but also allows them to adapt to evolving needs and challenges in the AI landscape. Such flexibility is crucial in a rapidly changing technological environment where the implications of AI actions can be profound.

Snapper functions as an all-encompassing security framework designed specifically for AI agents, focusing on the governance and safeguarding of organizations that deploy AI across a multitude of applications, networks, and systems. It enforces runtime regulations by meticulously examining each action performed by an agent, including interactions with tools, API requests, and data access demands, before they are executed, employing a sophisticated, multi-layered, policy-driven rule engine. Furthermore, Snapper offers a comprehensive overview of AI activities by scrutinizing network traffic, browser activity, DNS queries, and active processes to detect unauthorized tools and concealed AI applications. In addition, it takes proactive steps to intercept outgoing requests to large language models through SDK wrappers and a network proxy, enabling real-time assessment, redaction, and documentation of sensitive data. To bolster its protective capabilities, Snapper incorporates advanced threat detection systems capable of identifying prompt injection strategies, exploit chains, abnormal behaviors, and intricate attack patterns, using behavioral baselines, kill chain analysis, and an integrated trust scoring framework for enhanced security. This combination of features makes Snapper an invaluable resource for organizations striving to manage the inherent risks linked to AI implementation while ensuring the integrity of their operations. Ultimately, the platform not only mitigates potential threats but also empowers organizations to confidently leverage AI technology.

Bitdefender VPN for AI Agents is a macOS application specifically designed to route network requests from select AI agents through Bitdefender’s VPN infrastructure. This software enables connectivity for programs such as Claude Desktop, Cursor, Codex, and OpenCode by utilizing Bitdefender's MCP tools. Each prompt is given a dedicated encrypted connection along with an isolated environment that automatically closes once the prompt has been processed, allowing users to select an exit location for testing purposes across various regions. Targeted mainly at individual developers and freelancers, this application is especially beneficial for activities related to web research, quality assurance, and comparisons. It's crucial to understand, however, that this tool does not serve as a full VPN solution for the entire device, as it fails to secure traffic outside of the designated agent tools and does not mask prompts from the AI service provider. Currently, the beta version of the installer is only compatible with macOS 13 or later on Apple silicon, with no existing support for Intel Macs, although there are intentions to expand compatibility to Windows in the future. This groundbreaking application provides a focused solution for developers aiming to improve their workflow by incorporating enhanced privacy and security while utilizing AI-powered applications, ultimately allowing for a more efficient and secure development experience.

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 is AI security for companies running autonomous AI agents. Before an agent's action runs, Mountain Theory checks it against your rules and allows it, holds it for a person to approve, or blocks it. It stops an agent working around a block, catches an agent drifting off the task it was given, and stops new bad behavior on the day it first appears, with no new rule needed. It also keeps personal data from leaving and blocks instructions hidden in documents. Rules are written in plain English with no code. Every decision is logged for your auditor. It works with any AI you already use, in your environment or the cloud. We publish our recorded tests, misses included.

Zeptap is a macOS application designed to manage AI agents on a physical iPhone linked to a Mac, providing a seamless way for these intelligent agents to interact with various apps, interpret screen content, and conduct multi-app workflows directly on the device. By eliminating the need for an Apple Developer account, Xcode, or device provisioning, and without installing any software on the iPhone, Zeptap ensures a user-friendly experience. Organizations utilize Zeptap for testing iOS applications on actual devices, automating routine tasks within native iPhone applications even when APIs are unavailable, and empowering AI coding agents to verify their outputs directly on the device. Zeptap connects through a local MCP server to multiple clients such as Claude Code, Claude Desktop, Codex, Cursor, Hermes, and OpenClaw. Operating solely on the Mac, it leverages the user’s existing AI account or provider, which adds a layer of convenience and adaptability to its functionality. Offering both monthly subscriptions and one-time licensing, the Lifetime Plus plan accommodates up to five iPhones at once, making it suitable for a diverse range of team sizes and requirements. This adaptability highlights Zeptap’s role as an essential resource for developers and teams dedicated to mobile application development and testing, ultimately enhancing workflow efficiency and productivity.

AgentSky is an all-encompassing platform that provides agent-as-a-service solutions for the deployment of persistent and always-active AI agents in the cloud, thereby removing the necessity for Mac minis, complex setups, or any form of infrastructure management. Users can choose from a variety of agent harnesses like Claude Code, Codex, Hermes, or OpenClaw, pair them with suitable models, enhance their functionalities, and launch them effortlessly with a single click. These agents are available across multiple platforms, including WhatsApp, iMessage, Telegram, Slack, Discord, web chat, the A2A protocol, and the CLI, which ensures a seamless experience with consistent history, tools, and state management across various communication channels. Furthermore, local configurations of Claude Code, Codex, or OpenClaw can be easily migrated to the cloud, preserving all instructions, model settings, and MCP servers, while safeguarding sensitive information such as secrets, API keys, or session histories from being transferred. Every agent functions as a managed worker equipped with a durable state, ongoing history tracking, snapshots, backups, and restoration capabilities, all within a secure sandbox environment that initializes with only the essential tools attached, thereby enhancing both security and efficiency. This cutting-edge methodology not only provides significant flexibility but also allows for scalable deployment of AI solutions customized to meet diverse user requirements. In a rapidly evolving tech landscape, AgentSky stands out as a vital resource for businesses seeking to leverage AI technology seamlessly.

Onyx operates as a comprehensive AI management platform focused on discovering, safeguarding, governing, optimizing, and assessing AI agents and models utilized within a company. It offers vital insights for security, governance, and AI teams regarding both sanctioned and unsanctioned AI operations across diverse environments such as SaaS applications, cloud services, endpoints, and coding practices, covering elements like prompts, responses, and agent conduct. The inclusion of the AI Security feature strengthens the organization’s defense by identifying vulnerabilities and enforcing proactive protections against possible threats and misuse. In parallel, AI Governance guarantees adherence to security protocols and regulatory requirements by providing opt-in coverage and enabling policy regulations to be expressed in natural language. Additionally, AI Orchestration simplifies the deployment of agents and Multi-Cloud Platforms (MCPs), focusing on enhancing cost-effectiveness, precision, and speed. The AI ROI feature aids in quantifying usage, setting targets, and monitoring outcomes across various organizational sectors. Moreover, the Onyx Guardian Agent acts as a supervising AI, consistently detecting risks and addressing challenges throughout the platform, which allows organizations to manage a vast array of agents efficiently. Ultimately, Onyx equips businesses to leverage AI’s full capabilities while ensuring control and diligent oversight, fostering a secure and compliant AI ecosystem. This not only enhances operational efficiency but also encourages innovation within the organization.

Constellation Gate AI acts as a supplementary defense layer for AI agents, strategically placed between the agent and the model to scrutinize all requests for possible risks and data breaches. This innovative solution operates as an inline gateway for coding agents and model APIs, safeguarding workflows without requiring extensive code alterations. Users can seamlessly direct their existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode to engage with Gate, thereby securing defenses against prompt injection, secret exposure, PII redaction, token optimization, and maintaining a trustworthy audit trail. The platform effectively tackles three significant vulnerabilities: prompt injection attacks, unauthorized access to credentials and PII, and illicit tool activations. Instead of relying solely on the model's built-in defenses, Gate proactively intercepts potential attacks before they reach the model, eliminates sensitive data from responses before they are returned, and blocks outputs from compromised tools before agents can utilize them. Gate remains compatible with the standard calls made by agents, forwarding them to the model while thoroughly analyzing each request and response in both directions, thereby providing robust protection against evolving threats. This forward-thinking strategy not only bolsters security but also cultivates user confidence in the reliability and safety of their AI operations, ultimately fostering a more secure environment for innovation.

Spawn is an advanced utility within OpenRouter that simplifies the deployment of AI coding agents on your infrastructure with just one command. Users can easily choose their preferred agent and select a cloud provider, after which Spawn manages the entire process by provisioning a virtual machine, installing the chosen agent along with its dependencies, and authenticating to both OpenRouter and the cloud through a CLI OAuth procedure. It also configures all necessary endpoints and model routing, and initiates an SSH session to allow immediate task execution. Each unique combination of agent and cloud is packaged in its own script, removing the need for Terraform or YAML files, which ensures that deployments are portable and straightforward. The range of supported agents includes Claude Code, OpenClaw, Codex CLI, OpenCode, Kilo Code, Hermes Agent, Junie, Pi, Cursor CLI, and T3 Code, enabling users to easily explore different coding agent workflows or switch between agents effortlessly. Furthermore, in addition to well-known cloud platforms such as DigitalOcean, Sprite, Hetzner Cloud, AWS Lightsail, GCP Compute Engine, and Daytona, Spawn also supports local installations and temporary local Docker environments. This wide-ranging flexibility guarantees that developers can select the most suitable environment for their specific requirements while optimizing their workflow efficiency. Consequently, Spawn emerges as a vital resource for developers looking to streamline their coding and deployment processes.

Agent Teams offers a collaborative environment specifically designed for solo entrepreneurs and budding startups, enabling them to deploy a main lead agent alongside niche agents that specialize in various critical functions such as product development, strategic growth, and operational management. This setup enhances teamwork through shared tasks, documents, and messaging capabilities, ensuring seamless coordination among team members. Each hosted agent comes equipped with the ability to utilize persistent files and memory, browse the internet, access various tools, and manage scheduling, which allows them to oversee projects that require more than one browser session. The integrated workspace empowers users to track interactions and activities of the agents, thereby promoting collaboration with invited team participants. Moreover, Agent Teams supports compatibility with Hermes and OpenClaw workers, providing users the flexibility to choose their preferred models and tools, as well as facilitating integration with messaging platforms such as WhatsApp, Telegram, and Slack. Users can also link compatible AI clients like Codex, Cursor, and Claude Code through the available reporting or MCP tools, which significantly enhances their operational workflow. This service delivers substantial advantages for startup teams aiming to optimize their AI-driven projects across product, growth, and operational dimensions, ensuring more effective management and collaboration. The emphasis on integration and ease of use truly distinguishes Agent Teams within the competitive landscape of AI-assisted workspace solutions, making it a vital resource for innovative entrepreneurs. By fostering an interactive and adaptable environment, Agent Teams not only streamlines processes but also inspires creativity and strategic thinking among its users.

Enkrypt AI is an agentic AI security and compliance platform that helps enterprises identify, mitigate, monitor, and govern risks associated with AI models, applications, agents, and supporting infrastructure. The platform is designed to cover AI security threats and compliance requirements across different models and modalities while allowing organizations to continuously evaluate AI systems as they evolve. Its dynamic red teaming capabilities generate use-case-specific attacks that adapt in real time to uncover security, safety, compliance, and brand risks beyond those identified through static testing. Enkrypt AI can test for threats including prompt injection, jailbreaking, data leakage, model inversion, adversarial attacks, drip attacks, unsafe actuation, policy violations, and misuse by end users. It also evaluates AI quality and safety risks such as hallucinations, model drift, bias and discrimination, toxic content, deceptive behavior, misleading outputs, lack of explainability, and brand misalignment. Real-time guardrails detect and stop risky interactions as they occur while adapting to new prompts, behaviors, and emerging threats. Continuous monitoring gives security and compliance teams visibility into AI risks, protection effectiveness, and areas requiring action as models and applications change. Enkrypt AI's compliance functionality converts internal policies and external regulatory requirements into automated guardrails and generates evidence that can support audits and compliance programs. The product portfolio includes Agent Red Teaming, Agent Guardrails, an Agent Policy Engine, AI Data Risk Audit, MCP Scanner, and MCP Gateway for protecting AI agents, their data, and their connections to tools and infrastructure. Enkrypt AI supports use cases including customer-facing AI agents, frontier models, AI compliance and auditing, third-party AI risk, secure AI development, data risk assessment, and MCP security.

Showly is an innovative platform tailored for hosting websites that are crafted by AI agents, offering users an elegant space to preview, publish, share, and oversee their digital creations. Users can specify their desired project type to their coding agent, which can range from reports and research pages to presentations, documentation sites, portfolios, landing pages, prototypes, or product specifications, while Showly manages the hosting and publication seamlessly. The platform is designed to work harmoniously with a variety of agents, such as Claude Code, Codex, Cursor, OpenClaw, and Hermes Agent, allowing users to publish their projects without interrupting their established workflows. Before going live, changes are presented as private previews, providing an opportunity for users to evaluate the page, request adjustments, and select the optimal time for publication. Once a project is live, it generates a stable and shareable web link, and users can rely on the version history feature to easily restore any earlier iterations if needed. Moreover, Showly can convert existing outputs into functional web pages simply by accepting the supplied content, further enhancing its utility. This flexibility and ease of use make Showly an essential tool for anyone eager to simplify their digital publishing endeavors while maintaining control over their creations.

AIM Intelligence is an all-encompassing AI security platform that ensures oversight of AI systems as they make decisions, utilize APIs, and execute tasks in real-world business settings. It takes a proactive stance against potential threats to AI, preventing malicious actors from exploiting weaknesses by implementing real-time guardrails to ensure compliance with corporate policies. This platform features a diverse range of integrated solutions such as automated AI red teaming, prompt guardrail enforcement, and expert consulting on security frameworks, which aid organizations in managing complex AI risks during both development and operational stages. Stinger plays a crucial role in enhancing AI vulnerability detection by replicating numerous attack scenarios, enabling extensive agentic red teaming that goes beyond simple prompt-level threats, and performing assessments across various modalities including text, image, audio, video, and even physical AI, while offering customized vulnerability evaluations based on specific business logic. In parallel, Starfort ensures real-time enforcement of AI guardrails by detecting and protecting sensitive information like personally identifiable information (PII) and trade secrets while monitoring for irregular API requests made by autonomous agents. By integrating these critical components, AIM Intelligence empowers organizations with essential tools to foster a secure and compliant AI landscape, ultimately promoting trust in AI technologies. As businesses increasingly rely on AI, the importance of robust security measures becomes paramount.

TrojAI is an enterprise AI security platform designed to help organizations safely develop, deploy, and scale AI applications, large language models, and autonomous AI agents. As AI systems become increasingly integrated into business processes, the platform provides specialized security capabilities that address risks unique to AI-driven environments. TrojAI helps organizations identify vulnerabilities during development through advanced testing, validation, and risk assessment processes that uncover weaknesses before deployment. The platform is designed to detect threats such as prompt injection attacks, jailbreak attempts, data leakage, sensitive information exposure, and malicious agent manipulation. Runtime protection capabilities continuously monitor AI interactions, agent actions, and system behavior to identify and prevent security incidents in real time. TrojAI Defend protects operational AI applications by enforcing security policies and detecting anomalous activity across enterprise environments. TrojAI Detect focuses on securing AI models during the build phase, helping organizations strengthen defenses before applications reach production. Compliance and governance features assist organizations in aligning AI deployments with industry-recognized standards and security frameworks. The platform supports deployment across multiple cloud providers, AI models, enterprise systems, and self-hosted environments, providing flexibility for diverse infrastructure requirements. Built for large-scale enterprise operations, TrojAI delivers scalability, customization, and performance while maintaining strong security oversight. By combining AI-specific threat detection, proactive risk assessment, compliance support, and continuous protection, TrojAI helps organizations confidently adopt and expand their AI initiatives.

Flint AI is a command-line interface that prioritizes local-first and framework-agnostic approaches in AgentOps, aimed at helping developers evaluate the reliability of AI agents before they are released in production environments. By utilizing the command flintai scan, users can analyze Python source code for a range of potential problems, including security vulnerabilities, misconfigurations, and insufficient safety protocols, while also leveraging AI reasoning to minimize the chances of false positives. The flintai eval command further tests an active agent by delivering both functional and adversarial prompts, scoring its replies based on more than 35 established criteria that include factual accuracy, compliance with instructions, and robustness against prompt injections and attempts to jailbreak. Each agent that undergoes evaluation receives a reliability score, with findings categorized according to the OWASP Agentic Security Initiative risk classifications ASI01 to ASI10, and severity levels determined using CVSS v4.0 metrics. Flint AI's compatibility spans multiple agent frameworks and SDKs, such as Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen, which broadens its utility within the development landscape. This adaptable tool not only improves the security and quality of AI agents but also simplifies the evaluation process, ultimately enhancing trust in AI deployment while contributing to the overall advancement of AI technology. Overall, Flint AI represents a significant step forward in ensuring the reliability and safety of AI systems across various applications.

Vulnify functions as a specialized runtime authorization platform designed for developers and security teams who are building AI agents that engage with various tools or APIs. Before a tool is executed, the agent sends over action metadata, which includes information about the agent, the specific action, the resource involved, the target destination, and the number of records affected, after which it receives a decision labeled as ALLOW, REVIEW, or BLOCK, along with a risk score between 0 and 100, complete with explanations. Users can create and test YAML policies via a command-line interface, and they also have the option to integrate checks through Node.js or Python SDKs, a REST API, or numerous adapters compatible with their agent frameworks. Furthermore, the monitor mode allows for the logging of decisions without disrupting ongoing actions, and should Vulnify become unavailable, a fail-closed mechanism will halt actions unless a fail-open configuration is activated. An audit log that employs hash chaining keeps a detailed record of decisions made, and paid subscription plans can include human review processes to enhance oversight. Common applications for Vulnify involve monitoring data exports, controlling external communications, processing financial transactions, and other agent-initiated activities. It's essential to highlight that Vulnify prioritizes the assessment of action metadata rather than the actual content of the impacted records, ensuring an efficient and focused approach to authorization. By implementing this innovative system, organizations can significantly bolster their security and compliance in AI-driven operations, ultimately fostering a safer digital environment for their applications.

AgentShield is a cutting-edge identity platform that is crafted to authenticate both human users and the AI agents that represent them. It empowers organizations to validate the identity of an agent, ensure that the individual behind the agent has granted authorization, and evaluate the reliability of the agent, all via intuitive APIs and JavaScript integrations. The platform is equipped with features that enable the identification of agent interactions on websites, as well as the implementation of identity and permission validations for communications between agents and services, in accordance with the open Model Context Protocol Identity (MCP-I) standards. Furthermore, with the KYA functionality, businesses can efficiently manage agent identities and their permissions, create comprehensive audit trails, automate workflows, and enforce strict access controls for autonomous systems. This holistic strategy not only protects against potential exploitation of digital identities but also fosters transparency in the operations of AI systems on behalf of users. As the landscape of technology continues to advance, the importance of such stringent security protocols grows, presenting organizations with the challenge of effectively navigating the intricacies of digital identity management while ensuring user confidence. In this evolving environment, the role of platforms like AgentShield becomes indispensable for maintaining the integrity and trustworthiness of digital interactions.

EverOS is a persistent memory platform for AI agents that combines long-term context, multimodal ingestion, self-evolving skills, and cross-platform compatibility. The system is designed to sit inside an existing agent loop and retrieve relevant context before each large language model call. Rather than sending an entire conversation or knowledge history into the model every time, EverOS selects the most relevant stored memories for the current task. Its memory architecture is built to support low-latency retrieval while reducing token usage and maintaining continuity across sessions. EverOS also introduces self-evolving skills, which turn successful task executions into cases that can later be consolidated into reusable procedural knowledge. Repeated successful patterns can be promoted into shared skills that are available to multiple agents without requiring manual curation or brittle workflow logic. The platform accepts multimodal sources including PDFs, images, spreadsheets, documents, slides, URLs, and Markdown and automatically parses, chunks, and indexes them for retrieval. EverOS works with agent environments and interfaces such as Claude Code, Codex, OpenClaw, Hermes, MCP, and OpenAI- and Anthropic-compatible SDKs. Its Markdown-first portability model allows organizations to export memories in a readable, version-controllable format and move between hosted and self-managed deployments. Teams can start with EverOS Cloud or deploy the Apache 2.0 open source version on their own infrastructure using the same API and memory format. EverOS is designed for developers, AI infrastructure teams, and enterprises that want agents to retain context, learn reusable procedures, and operate more efficiently across tools and environments. EverOS achieves 93.05% on the LoCoMo long-term memory benchmark (research: arXiv:2601.02163).

Pillar Security operates as a holistic AI security platform aimed at protecting the agentic workforce throughout the complete AI lifecycle, from initial development through deployment and into continuous runtime safeguarding. By embedding business context in its processes of discovery, testing, and protection, the platform guarantees that security intelligence builds up across a variety of AI applications, which include agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, and environments such as SaaS and cloud. This capability allows organizations to effectively pinpoint and manage their AI assets, even those that are unauthorized or categorized as shadow AI, while assessing risks tied to the supply chain and their overall security framework. Furthermore, it outlines the attack surfaces linked to agentic systems and assesses critical vulnerabilities that require attention. Through its AI Security Posture Management functionalities, Pillar meticulously analyzes interconnected agents, tools, permissions, data sources, prompts, models, and supply chain components to uncover high-risk pathways, policy violations, misconfigurations, and potential threats from coding agents, thereby deepening the understanding of the ramifications when any single element is compromised. Ultimately, Pillar Security not only enables organizations to uphold a strong security framework but also equips them to adeptly navigate the multifaceted landscape of AI technology, fostering a culture of proactive security management that evolves alongside emerging threats.

Opal Zero acts as a governance platform designed for AI agents, offering just-in-time access management by systematically cataloging each agent, associating them with a responsible owner, assessing access requests, and executing decisions via the existing MCP gateway. This all-encompassing solution enables organizations to sustain a cohesive inventory across diverse identity providers and AI platforms such as Okta, Entra, Anthropic, OpenAI, Bedrock AgentCore, and Cursor, thereby clarifying the permissions assigned to each agent and their corresponding ownership. The Risk Center identifies access that could be misaligned with its intended application, unassigned, or excessively broad, directing these issues to the relevant owner while providing immediate options for corrective action. Paladin evaluates requests against predefined policies and contextual information, identifies the most limited access pathways, respects ownership boundaries, and explains the justification for each decision made. By scrutinizing actual user behavior, Policy Insights reveals cases of unnecessary access and recommends improvements to access policies, aiming for a proactive approach rather than reactive fixes. Gateway Enforcement guarantees that sanctioned access decisions are executed as precise, temporary policies within the current gateway framework, thereby cultivating a more secure and well-organized structure for managing AI agents. Additionally, this platform's robust analytics capabilities help organizations to adapt and refine their governance strategies continuously, ensuring that they remain aligned with evolving operational needs.

Agent Control is an innovative open-source framework that revolutionizes the management of AI agent behavior on a grand scale, establishing a new standard for governance in the field. It tackles the challenges posed by fragmented and hardcoded checks by equipping teams with a cohesive governance layer that applies regulations at every stage, all managed from a single control interface that can be dynamically updated without needing modifications to the agent's core code. Developers can easily identify any function for governance by using the control() decorator, turning critical decision points within an agent into separately regulated control points, each with tailored governance policies. When a function marked with this decorator is executed, Agent Control evaluates the input or output based on the relevant policy, generating responses that can include denying, steering, warning, logging, or allowing the action. Should a denial occur, the SDK raises a ControlViolationError, effectively blocking any potentially harmful actions from being carried out. This clear demarcation of policies from the actual code empowers developers to strategically position control hooks, while governance teams can focus on the specifics of enforcement, promoting a collaborative governance model. The adaptability and strength of Agent Control render it an essential resource for organizations aiming for effective standardization in AI agent governance, and its user-friendly interface further enhances accessibility for developers across various levels of expertise.

General Analysis is an advanced AI security platform meticulously crafted to assist security teams in testing, monitoring, and protecting AI agents and systems that are currently in operation. Its main goal is to help organizations understand AI-related vulnerabilities, prevent incidents, and ensure the safety of a variety of real-world AI applications including employee assistants, coding tools, customer service solutions, healthcare support, legal aids, financial advisors, and creative processes. By thoroughly mapping AI applications and agents across a wide array of parameters such as prompts, retrieval techniques, tools, MCP servers, browser interactions, permissions, repositories, cloud accounts, SaaS workflows, and business operations, it effectively detects context-sensitive attacks that expose weaknesses in the system. The platform’s automated red teaming utilizes dynamic attacker models that adapt to the behaviors of their targets, crafting intricate multi-step exploit chains that equip security teams with the capability to identify vulnerabilities that conventional static testing methods might miss. In essence, General Analysis not only strengthens an organization's AI security framework but also assures that their AI implementations remain robust and agile against continuously evolving threats. By fostering a proactive security approach, it enables firms to stay ahead of potential adversarial challenges in the rapidly changing technological landscape.