List of the Top Free AI Security Software in 2026

Anaconda is an AI-native development platform designed to help organizations build, govern, and scale AI using trusted open-source tools. The platform supports teams from the first experiment through production deployment with package management, governed environments, and orchestration capabilities. Anaconda helps solve common AI development challenges such as broken environments, dependency conflicts, security vulnerabilities, data science workflow friction, and stalled model deployments. Anaconda Core provides trusted Python package management with thousands of validated packages, automated security scanning, and intelligent conflict resolution. This gives developers and data science teams a more reliable foundation for building Python, machine learning, and AI applications. The Anaconda Platform is designed for organizations that need governance, control, and repeatability across AI initiatives. Its trusted distribution supports secure access to open-source packages while helping teams reduce risk in enterprise development environments. Anaconda also supports AI orchestration, helping teams move models and workflows closer to production-ready operation. The company offers resources such as learning courses, certifications, reports, guides, documentation, support, and professional services to help teams advance their AI and data science maturity. Anaconda is used by millions of global users, developers, contributors, organizations, and Fortune 500 companies. By combining trusted open source, Python package management, AI governance, secure environments, and production-focused orchestration, Anaconda gives enterprises a foundation for building AI systems with greater speed and confidence.

Criminal IP Threat Intelligence elevates AI-powered security measures by supplying top-notch, regularly refreshed threat intelligence that seamlessly integrates into security processes and analytical frameworks. This platform offers detailed insights on harmful IP addresses, phishing websites, malware networks, and new threat developments, allowing security teams to enhance automated detection capabilities, threat correlation, and risk evaluation. By infusing security strategies with practical intelligence, organizations can bolster their defenses against the swiftly changing landscape of cyber threats.

The detection system operates on an open-source large language model that functions exclusively within a self-managed setting.

iDox.ai Guardrail acts as an immediate protective layer for AI applications, aimed at preventing the exposure of sensitive data during generative AI activities. This cutting-edge solution operates at the endpoint level, intercepting user prompts, uploaded documents, and all forms of AI interactions before any data is sent from the user's device. Guardrail utilizes policy-based strategies to detect and block the unauthorized dissemination of sensitive information, such as personally identifiable information (PII), protected health information (PHI), payment card information (PCI), intellectual property, and various other confidential business details. Unlike traditional data loss prevention (DLP) systems, Guardrail is specifically designed for AI applications, constantly monitoring user interactions with platforms like ChatGPT, Microsoft Copilot, and Claude, while implementing protective measures in real-time to maintain security. Its notable features include continuous oversight of user prompts and file submissions, the capability to recognize sensitive data with AI awareness, immediate anonymization and sanitization of data, protection against risks posed by AI agents—such as unauthorized access incidents (like OpenClaw)—and the enforcement of website whitelisting along with strict policy implementation. Moreover, Guardrail not only bolsters user trust in AI technologies but also aligns with data privacy regulations, ensuring that users can engage with AI tools without concerns about compromising their sensitive information. This proactive approach positions Guardrail as an essential component in the evolving landscape of AI security.

Trusys.ai functions as an all-encompassing AI assurance platform aimed at helping organizations evaluate, secure, monitor, and manage artificial intelligence systems throughout their entire lifecycle, encompassing everything from initial testing to extensive production deployment. The platform features a suite of tools, including TRU SCOUT, which automates security and compliance assessments in accordance with global standards while pinpointing possible adversarial vulnerabilities; TRU EVAL, which performs in-depth evaluations of various AI applications—spanning text, voice, image, and agent capabilities—with an emphasis on metrics such as accuracy, bias, and safety; and TRU PULSE, which provides real-time monitoring of production and issues alerts for concerns like drift, performance degradation, policy violations, and anomalies. By delivering thorough visibility and performance tracking, Trusys empowers teams to detect unreliable outputs, compliance gaps, and operational issues early on. Furthermore, Trusys supports model-agnostic evaluations through a user-friendly, no-code interface, integrating human-in-the-loop assessments alongside customizable scoring metrics, which harmoniously combines expert insights with automated evaluations. This fusion ultimately guarantees that organizations can uphold rigorous standards of performance and compliance for their AI systems, ensuring robust governance and risk mitigation throughout the process. With Trusys.ai, users can navigate the complexities of AI assurance with confidence and accuracy, fostering a proactive approach to AI management.

Through collaboration, we can robustly address cyber threats at every point within an organization, regardless of where the threats arise. Cybereason provides unmatched visibility and accurate detection of both known and unknown dangers, enabling security teams to leverage true preventive measures. The platform delivers extensive context and insights from the entire network, allowing defenders to evolve into proficient threat hunters capable of uncovering hidden attacks. With just a single click, Cybereason significantly reduces the time required for defenders to investigate and remedy incidents, utilizing both automation and guided assistance. By analyzing an impressive 80 million events every second, Cybereason functions at a scale that is 100 times larger than many of its competitors, which leads to a remarkable decrease in investigation duration by up to 93%. This swift capability empowers defenders to tackle new threats in just minutes rather than days, transforming how organizations respond to cyber challenges. Ultimately, Cybereason sets a new benchmark for threat detection and response, fostering a more secure digital environment for everyone involved. Moreover, this innovative approach not only enhances the efficiency of security operations but also promotes a proactive stance in the ever-evolving landscape of cyber threats.

ZeroPath is the AI-native SAST that finds vulnerabilities traditional tools miss. We built it because security shouldn't overwhelm developers with noise. Unlike pattern-matching tools that flood you with false positives, ZeroPath understands your code's intent and business logic. We find authentication bypasses, IDORs, broken auth, race conditions, and business logic flaws that actually get exploited and missed by traditional SAST tools. We auto-generate patches and pull requests that match your project's style. 75% fewer false positives, 200k+ scans run per month, and ~120 hours saved per team per week. Over 750 organizations use ZeroPath as their new AI-native SAST. Our research has uncovered critical vulnerabilities in widely-used projects like curl, sudo, OpenSSL, and Better Auth (CVE-2025-61928). These are the kinds of issues off-the-shelf scanners and manual reviews miss, especially in third-party dependencies. ZeroPath is an all-in-solution for your AppSec teams: 1. AI-powered SAST 2. Software Composition Analysis with reachability analysis 3. Secrets detection and validation 4. Infrastructure as Code scanning 5. Automated PR reviews 6. Automated patch generation and more...

Tines is a secure automation and AI platform that helps organizations give employees the ability to build workflows, applications, and agents without sacrificing enterprise governance. It provides a centralized environment where IT and security teams can see what users are creating, which services they connect to, and how AI is being used throughout the organization. The platform is intended to address the growing challenge of employees independently creating AI-powered tools with services that may otherwise fall outside corporate oversight. Teams can build automated processes and front-end applications for IT, cybersecurity, finance, HR, operations, and other departments. Security organizations can use Tines for AI-assisted SOC workflows that automate alert intake, investigation, triage, remediation, and analyst escalation. IT departments can govern MCP services, AI clients, system access, and deployments through managed workflows and gateway capabilities. Finance and operations teams can create dashboards and applications that combine information from email, business systems, and other connected tools. Tines provides monitoring, guardrails, governance, and administrative controls to help organizations safely manage these automations and AI-powered applications at scale. Its platform can identify potential workflow problems and suggest improvements while leaving decisions about production changes under administrator control. Because Tines is vendor-agnostic, organizations can integrate it across their existing infrastructure and select or change LLM providers based on their own requirements. Tines is positioned as a single secure environment for enterprise AI-native agents, applications, and automations that supports rapid building while maintaining strong operational and security oversight.

We are creators driven by a clear purpose. Our passion lies in developing products that enhance global security. Throughout our professional journeys, we've crafted numerous enterprise solutions at both emerging startups and established firms such as Splunk, Cisco, Symantec, and McAfee, where we frequently had to develop security functionalities from the ground up. Pangea introduces the pioneering Security Platform as a Service (SPaaS), which consolidates the disjointed landscape of security into a streamlined collection of APIs, allowing developers to seamlessly integrate security into their applications. This innovative approach not only simplifies security implementation but also ensures that developers can focus more on building their core products.

SOCRadar Extended Threat Intelligence is an all-encompassing platform built to proactively identify and evaluate cyber threats, offering actionable insights that are contextually relevant. As organizations strive for improved visibility into their publicly available assets and the vulnerabilities linked to them, relying only on External Attack Surface Management (EASM) solutions proves insufficient for effectively managing cyber risks; these technologies should be integrated within a broader enterprise vulnerability management strategy. Businesses are increasingly focused on safeguarding their digital assets from every conceivable risk factor. The traditional emphasis on monitoring social media and the dark web is no longer adequate, as threat actors continually adapt and innovate their attack strategies. Thus, comprehensive monitoring across various environments, including cloud storage and the dark web, is vital for empowering security teams to respond effectively. Furthermore, a robust approach to Digital Risk Protection necessitates the inclusion of services such as site takedown and automated remediation processes. By adopting this multifaceted approach, organizations can significantly enhance their resilience in the face of an ever-evolving cyber threat landscape, ensuring they can respond proactively to emerging risks. This continuous adaptation is crucial for maintaining a strong security posture in today's digital environment.

Akto is a rapid, open-source API security platform that enables users to set up in just one minute. Security teams utilize Akto to keep an ongoing inventory of APIs, assess them for vulnerabilities, and identify issues during runtime. The platform includes tests for all categories from the OWASP Top 10 and HackerOne Top 10, such as Broken Object Level Authorization (BOLA), authentication flaws, Server-Side Request Forgery (SSRF), Cross-Site Scripting (XSS), and various security configurations. With its robust testing engine, Akto conducts a range of business logic tests by analyzing traffic data to discern API usage patterns, effectively minimizing false positives. Additionally, Akto supports integration with a variety of traffic sources, including Burpsuite, AWS, Postman, GCP, and various gateways, enhancing its usability across different environments. This adaptability makes Akto a valuable tool for ensuring the security of APIs in diverse operational settings.

LLM Guard provides a comprehensive array of safety measures, such as sanitization, detection of harmful language, prevention of data leaks, and protection against prompt injection attacks, to guarantee that your interactions with large language models remain secure and protected. Designed for easy integration and deployment in practical settings, it operates effectively from the outset. While it is immediately operational, it's worth noting that our team is committed to ongoing improvements and updates to the repository. The core functionalities depend on only a few essential libraries, and as you explore more advanced features, any additional libraries required will be installed automatically without hassle. We prioritize a transparent development process and warmly invite contributions to our project. Whether you're interested in fixing bugs, proposing new features, enhancing documentation, or supporting our cause, we encourage you to join our dynamic community and contribute to our growth. By participating, you can play a crucial role in influencing the future trajectory of LLM Guard, making it even more robust and user-friendly. Your engagement not only benefits the project but also enriches the overall experience for all users involved.

The Threatrix autonomous platform guarantees the security of your open source supply chain and ensures compliance with licensing, allowing your team to focus on delivering outstanding software. Embrace a new standard in open source management with Threatrix's groundbreaking solutions. This platform adeptly reduces security threats while enabling teams to swiftly manage license compliance through a cohesive and efficient interface. With rapid scans that complete within seconds, your build process experiences no interruptions. Immediate proof of origin provides actionable insights, and the system is capable of processing billions of source files each day, offering exceptional scalability for even the largest enterprises. Boost your vulnerability detection prowess with enhanced control and visibility into risks, facilitated by our state-of-the-art TrueMatch technology. Furthermore, a comprehensive knowledge base compiles all known open source vulnerabilities, along with proactive zero-day intelligence gathered from the dark web. By incorporating these sophisticated features, Threatrix empowers teams to confidently and efficiently navigate the intricacies of open source technology, ensuring they remain ahead in a rapidly evolving landscape. Additionally, this platform not only enhances security but also fosters innovation by allowing development teams to explore new solutions without fear.

SydeLabs empowers you to take proactive measures against vulnerabilities and provides immediate protection against threats and misuse, all while ensuring adherence to compliance standards. The lack of a systematic approach to identify and rectify vulnerabilities within AI systems poses a significant barrier to their secure implementation. In addition, the absence of real-time defense mechanisms leaves AI applications exposed to the ever-shifting landscape of emerging threats. As regulations governing AI use continue to evolve, the risk of non-compliance becomes a pressing concern that could threaten business stability. Effectively counter every attack, reduce the risk of misuse, and uphold compliance effortlessly. At SydeLabs, we deliver a comprehensive array of solutions designed specifically for your AI security and risk management requirements. Through ongoing automated red teaming and customized evaluations, you can gain profound insights into the vulnerabilities affecting your AI systems. Additionally, by utilizing real-time threat scores, you can proactively counteract attacks and abuses across multiple sectors, thereby establishing a robust defense for your AI systems in response to the latest security challenges. Our dedication to innovation guarantees that you remain ahead of the curve in the rapidly changing realm of AI security, enabling you to navigate future obstacles with confidence.

MCP Defender is a cutting-edge open-source desktop application that acts as an AI firewall, meticulously designed to monitor and protect communications related to the Model Context Protocol (MCP). Operating as a secure intermediary between AI applications and MCP servers, it rigorously examines all communications in real-time to identify potential threats. With its automatic scanning and securing of all MCP tool calls, the application harnesses sophisticated LLM capabilities to effectively pinpoint malicious activities. Users have the option to customize the signatures used during the scanning process, allowing for personalized security measures tailored to their unique requirements. MCP Defender stands out in its ability to detect and thwart various AI security threats, including prompt injection, credential theft, arbitrary code execution, and remote command injection. It effortlessly integrates with a wide array of AI applications, such as Cursor, Claude, Visual Studio Code, and Windsurf, with aspirations for broader compatibility in the near future. The application boasts intelligent threat detection and promptly notifies users upon detecting any harmful actions from AI applications, ensuring a formidable defense against ever-evolving threats. Additionally, MCP Defender not only enhances security but also instills confidence in users as they engage with AI technologies, fostering an environment of safety and reliability. Ultimately, this innovative tool empowers users to navigate their AI interactions with enhanced security and peace of mind.

GolfMCP is an open-source framework designed to streamline the creation and deployment of production-ready Model Context Protocol (MCP) servers, enabling organizations to build a secure and scalable environment for AI agents without the burden of boilerplate code. By allowing developers to easily define tools, prompts, and resources with simple Python files, GolfMCP handles vital operations such as routing, authentication, telemetry, and observability, which allows users to focus on the essential logic instead of the underlying infrastructure. The platform supports advanced authentication methods like JWT, OAuth Server, and API keys, along with automated telemetry and a file-based structure that eliminates the need for decorators or manual schema setups. It also provides built-in tools for interacting with large language models (LLMs), comprehensive error logging, OpenTelemetry integration, and deployment utilities, including a command-line interface that offers commands for initializing, building, and running projects. Additionally, GolfMCP features the Golf Firewall, a sturdy security layer specifically designed for MCP servers that implements strict token validation to bolster the security framework. This extensive array of features guarantees that developers have all the necessary tools at their disposal to create effective AI-driven applications, paving the way for innovation and efficiency in their projects. With GolfMCP, organizations can confidently advance their AI initiatives with a robust and user-friendly development environment.

Heeler functions as a sophisticated application security platform aimed at helping both development and security teams automate the detection, prioritization, and remediation of risks linked to open source and applications, by merging contextual insights from multiple sources such as code, runtime environments, deployments, dependencies, and business logic into a unified actionable framework. By combining static and dynamic analysis, software composition analysis, threat modeling, and secrets scanning with an advanced context engine that depicts the operational behavior of code in a live environment, Heeler enables real-time threat prioritization based on their exploitability and potential impact on the business, moving beyond merely counting vulnerabilities. This platform not only automates the generation of validated remediation suggestions but also creates merge-ready pull requests to update libraries or address identified problems, significantly minimizing the need for manual investigation and accelerating the implementation of solutions. In addition, Heeler provides extensive visibility across the software development lifecycle, diligently monitoring vulnerabilities from the moment of detection until resolution, and ensuring that fixes are thoroughly tracked across different deployments, thereby significantly bolstering the organization's overall security posture. Moreover, by streamlining these processes, Heeler empowers teams to focus more on strategic initiatives rather than getting bogged down by repetitive manual tasks.

ZeroLeaks is an advanced security platform powered by AI, tailored to help organizations identify and rectify vulnerabilities associated with exposed system prompts, internal tools, and logical errors that could facilitate prompt injection, data extraction, or other data leakage risks that endanger sensitive instructions and intellectual property. This platform includes an engaging dashboard that enables users to manually scan system prompts or automate the scanning process via CI/CD integrations, which helps in detecting leaks and injection vectors before code is deployed. Furthermore, it integrates an AI-driven red-team analysis engine that scrutinizes prompt areas for logical inconsistencies, extraction risks, and possible misuse, offering users evidence, scoring metrics, and practical remediation plans. Designed specifically for enterprise-level security concerning products that utilize large language models, ZeroLeaks provides comprehensive vulnerability assessments that detail the severity of prompt exposure, underscore critical risks, furnish proof of identified issues, and delineate access routes along with recommended solutions, such as reconfiguring prompts and restricting tool access. By utilizing ZeroLeaks, organizations can significantly enhance their security protocols and effectively protect their valuable intellectual assets from potential threats. Importantly, the platform not only aids in risk management but also fosters a culture of security awareness within the organization.

OpenBox is a powerful AI governance solution designed specifically for enterprises, with the goal of maintaining the transparency, auditability, and secure deployment of AI systems at scale through the real-time monitoring of all agent actions and interactions within the platform. By offering a unified governance framework, it consolidates identity management, policy enforcement, risk management, and compliance into a single operational environment, effectively addressing the prevalent challenge of fragmentation that often arises from relying on multiple disparate tools, and enabling organizations to uphold consistent oversight over their AI operations. With its seamless integration into existing AI workflows through an easy-to-use SDK, it requires no alterations to current infrastructures while providing instant visibility into the operational behaviors, decision-making mechanisms, and communications among AI agents. Additionally, OpenBox takes a proactive approach by supervising and evaluating each action before it is executed, ensuring that policy enforcement and compliance assessments happen in real-time to prevent any risky or non-compliant actions, thus prioritizing a preventative strategy over responding to issues after they occur. This forward-thinking approach not only bolsters compliance but also cultivates a culture of responsibility and accountability within AI operations, ultimately promoting a safer and more trustworthy AI ecosystem. As organizations increasingly rely on AI technology, tools like OpenBox become essential for navigating the complexities of governance in an evolving digital landscape.

GPT-5.4-Cyber is a specialized version of GPT-5.4 designed to bolster defensive cybersecurity efforts, allowing security professionals to more effectively analyze, discover, and rectify vulnerabilities. This model has been optimized to lessen limitations on legitimate security activities, encouraging deeper engagement in critical areas like vulnerability research, exploit analysis, and secure code evaluations that are typically constrained in conventional models. A key feature of this variant is its capability for binary reverse engineering, which allows for the inspection of compiled software without requiring access to the original source code, aiding in the detection of potential malware, vulnerabilities, and assessing system strength. Additionally, it functions within OpenAI’s Trusted Access for Cyber (TAC) framework, which provides its advanced capabilities through an organized access system that necessitates identity verification and levels of trust, ensuring that only vetted defenders, researchers, and organizations can utilize its most advanced features. This strategic approach not only strengthens overall security protocols but also promotes collaboration among cybersecurity experts, enhancing the collective defense against cyber threats. Ultimately, such innovations are essential in keeping pace with the evolving landscape of cybersecurity.

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.

Alice is a leading AI safety and adversarial intelligence platform built to secure the rapidly evolving landscape of generative AI, agents, and emerging technologies. Rebranded from ActiveFence, Alice combines a decade of real-world adversarial research with the industry’s most comprehensive toxic and abuse dataset to protect platforms, applications, and foundation models at scale. Its proprietary Rabbit Hole intelligence engine continuously ingests and analyzes billions of manipulative, harmful, and abusive data samples, enabling proactive threat detection before incidents become public crises. Today, Alice safeguards more than 3 billion users worldwide and monitors over 1 billion daily AI-human interactions across 120+ languages. The company’s WonderSuite platform delivers end-to-end AI security, including WonderBuild for pre-deployment stress testing, WonderFence for dynamic runtime guardrails, and WonderCheck for ongoing automated red-teaming. These capabilities address emerging risks such as prompt injection, jailbreaks, application-level exploits, compliance failures, and unintended GenAI behavior. Alice allows organizations to customize policy alignment based on regulatory obligations and risk tolerance, ensuring trusted interactions across text, image, and multimodal systems. By strengthening governance frameworks and reducing reputational exposure, Alice helps enterprises and frontier model labs deploy AI responsibly and confidently. Trusted by leading global technology companies, Alice serves as a foundational layer of safety for more than half of the world’s online experiences.

Corgea empowers security teams to safeguard vulnerable code, enabling engineering departments to focus on revenue-generating activities. This forward-thinking strategy not only bolsters code security but also optimizes the efficiency of engineering workflows, leading to improved overall productivity.

Large Language Models (LLMs) are developed using vast collections of data, which may unintentionally include personal information, posing risks of unauthorized access and exploitation by unethical entities. To mitigate these challenges, ZeroTrusted.ai has introduced its LLM Firewall, designed to shield against these vulnerabilities effectively. This sophisticated sanitization model can recognize various sensitive data categories, such as GDPR, PHI, PII, and PCI information. Furthermore, it is regularly updated with compliance data from NIST to guarantee adherence to regulations while streamlining the compliance workflow. In addition to these features, our platform provides a range of tools for prompt optimization, reducing hallucinations, and preventing data injection via our innovative LLM ensemble technique, all aimed at improving user interaction. It is essential to highlight that these robust functionalities are only available through our business plan, ensuring your organization benefits from optimal protection and enhanced capabilities. Ultimately, ZeroTrusted.ai's commitment to security and compliance empowers users to navigate the complexities of data management with confidence.

Wardstone serves as a protective security API designed for language models, functioning as a barrier between applications and different language model suppliers by assessing both inputs and outputs for possible threats across four specific categories within a single request: prompt attacks, content violations, data leaks, and suspicious links. It excels at detecting jailbreaks and prompt injections, as well as harmful content that includes hate speech, violence, and self-harm, while also identifying personally identifiable information such as Social Security numbers, credit card information, email addresses, and phone numbers, in addition to spotting questionable URLs. Each response it generates comes with a comprehensive risk evaluation for every category, all accomplished in a rapid response time of less than 30 milliseconds. Compatible with any language model provider, it is available through a REST API and supports SDKs in a variety of programming languages including TypeScript, Python, Go, Ruby, PHP, Java, and C#. There is a free tier that allows for up to 10,000 calls per month without requiring a credit card, and it also includes a web-based playground for users to try out and test its functionalities. This tool can be seamlessly integrated into existing systems, significantly improving the security measures of language model interactions, thereby ensuring a safer environment for users and applications alike.