Alternatives to LLM Guard

Compare LLM Guard alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to LLM Guard in 2026. Compare features, ratings, user reviews, pricing, and more from LLM Guard competitors and alternatives in order to make an informed decision for your business.

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    cside

    cside

    cside

    cside is the leading client-side intelligence platform. Protecting organizations from advanced client-side threats such as script injection, data skimming, and browser-based attacks, risks often overlooked by traditional security measures. Leveraging client-side intelligence to provide evidence to fight chargeback fraud cases. It also addresses the growing challenge of web supply chain risk, ensuring real-time visibility and control over third-party scripts running in user environments. cside provides proactive protection that helps organizations meet compliance requirements like PCI DSS 4.0.1, safeguard sensitive data, and uphold user privacy, all without compromising performance.
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    SOCRadar Extended Threat Intelligence
    SOCRadar provides a unified, cloud-hosted platform designed to enrich your cyber threat intelligence by contextualizing it with data from your attack surface, digital footprint, dark web exposure, and supply chain. We help security teams see what attackers see by combining External Attack Surface Management, Cyber Threat Intelligence, and Digital Risk Protection into a single, easy-to-use solution. This enables your organization to discover hidden vulnerabilities, detect data leaks, and shut down threats like phishing and brand impersonation before they can harm your business. By combining these critical security functions, SOCRadar replaces the need for separate, disconnected tools. Our holistic approach offers a streamlined, modular experience, providing a complete, real-time view of your threat landscape to help you stay ahead of attackers.
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    Lakera

    Lakera

    Lakera

    Lakera Guard empowers organizations to build GenAI applications without worrying about prompt injections, data loss, harmful content, and other LLM risks. Powered by the world's most advanced AI threat intelligence. Lakera’s threat intelligence database contains tens of millions of attack data points and is growing by 100k+ entries every day. With Lakera guard, your defense continuously strengthens. Lakera guard embeds industry-leading security intelligence at the heart of your LLM applications so that you can build and deploy secure AI systems at scale. We observe tens of millions of attacks to detect and protect you from undesired behavior and data loss caused by prompt injection. Continuously assess, track, report, and responsibly manage your AI systems across the organization to ensure they are secure at all times.
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    Plurilock AI PromptGuard

    Plurilock AI PromptGuard

    Plurilock Security

    Plurilock AI PromptGuard is a new, patent-pending security tool designed to protect companies against data leaks while their employees use generative AI platforms like ChatGPT. Unlike other solutions to the generative AI data leakage problem, PromptGuard doesn't block AI use or individual AI prompts. Instead, PromptGuard relies on a mature DLP engine to detect sensitive data in prompts and anonymize it before it is sent to the AI platform. When the AI platform returns an answer, PromptGuard restores the original references before showing them to the user. This preserves the workflow and query flow of AI, enabling users to productively use it, while keeping sensitive data out of the AI platform's hands. PromptGuard also provides a complete, bi-directional audit log of queries and replies for each user, enabling companies to create a compliance-friendly record of what was sent to AI, and what AI sent back.
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    Wardstone

    Wardstone

    JRL Software LTD

    Wardstone is an LLM security API that sits between applications and language model providers, scanning inputs and outputs for threats across four categories in a single call: prompt attacks, content violations, data leakage, and unknown links. It detects jailbreaks, prompt injections, harmful content (hate, violence, self-harm), PII (SSNs, credit cards, emails, phone numbers), and suspicious URLs. Each response returns risk bands per category with sub-30ms latency. Works with any LLM provider. REST API with SDKs for TypeScript, Python, Go, Ruby, PHP, Java, and C#. Free tier at 10,000 calls/month, no credit card required. Includes a browser-based playground for testing.
    Starting Price: $0/month
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    ZenGuard AI

    ZenGuard AI

    ZenGuard AI

    ZenGuard AI is a security platform designed to protect AI-driven customer experience agents from potential threats, ensuring they operate safely and effectively. Developed by experts from leading tech companies like Google, Meta, and Amazon, ZenGuard provides low-latency security guardrails that mitigate risks associated with large language model-based AI agents. Safeguards AI agents against prompt injection attacks by detecting and neutralizing manipulation attempts, ensuring secure LLM operation. Identifies and manages sensitive information to prevent data leaks and ensure compliance with privacy regulations. Enforces content policies by restricting AI agents from discussing prohibited subjects, maintaining brand integrity and user safety. The platform also provides a user-friendly interface for policy configuration, enabling real-time updates to security settings.
    Starting Price: $20 per month
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    WebOrion Protector Plus
    WebOrion Protector Plus is a GPU-powered GenAI firewall engineered to provide mission-critical protection for generative AI applications. It offers real-time defenses against evolving threats such as prompt injection attacks, sensitive data leakage, and content hallucinations. Key features include prompt injection attack protection, safeguarding intellectual property and personally identifiable information (PII) from exposure, content moderation and validation to ensure accurate and on-topic LLM responses, and user input rate limiting to mitigate risks of security vulnerability exploitation and unbounded consumption. At the core of its capabilities is ShieldPrompt, a multi-layered defense system that utilizes context evaluation through LLM analysis of user prompts, canary checks by embedding fake prompts to detect potential data leaks, pand revention of jailbreaks using Byte Pair Encoding (BPE) tokenization with adaptive dropout.
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    ZeroTrusted.ai

    ZeroTrusted.ai

    ZeroTrusted.ai

    Large Language Models (LLMs) learn from vast datasets, which might include your sensitive information. This presents risks of unintentional data exposure and exploitation by unethical LLM providers or malicious actors. ZeroTrusted.ai’s LLM Firewall is designed to protect you from these threats. Our sanitization model is intelligent enough to detect GDPR, PHI, PII, PCI data etc. It’s constantly trained with compliance requirements data for from NIST. That way you fulfill your compliance requirement while automating the process. There are plenty other features like for prompt optimization, reducing hallucinations and data injection using our LLM ensemble technique and lots of other feature. These features are only available on the business plan however.
    Starting Price: $19.99 per month
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    Simaril

    Simaril

    Simaril

    Silmaril is a self-healing prompt injection defense designed to protect AI systems from increasingly complex, multi-step attacks that traditional guardrails fail to stop. It operates by wrapping inference calls and evaluating whether an execution sequence is leading toward a harmful outcome, rather than simply filtering inputs. It uses a multihead classifier that analyzes user intent, application context, and execution states together, enabling it to detect indirect injection, multi-turn attack chains, context poisoning, and tool abuse before damage occurs. Silmaril continuously strengthens its defenses through autonomous threat hunting agents that probe systems, discover vulnerabilities, and generate synthetic training data from real attack scenarios. These insights are used to retrain the model automatically, deploying updated protections in under an hour and propagating anonymized defenses across all deployments.
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    ZeusLock

    ZeusLock

    ZeusLock

    AI tools like ChatGPT, Copilot, Claude, and DeepSeek are widely used at work - often without IT oversight. Up to 78% of employees admit using ChatGPT professionally, risking exposure of financial data, API keys, passwords, source code, and personal records. Legacy DLP and proxies weren't built for this threat. ZeusLock is the purpose-built DLP for the AI era. It automatically detects and blocks sensitive data before it reaches any AI service. Deployment takes 2 minutes via a browser extension and workstation agent, covering web apps, IDEs, terminals, and AI agents via MCP. When a risk is detected, ZeusLock either alerts the user or blocks the submission - based on your policy - and logs every incident for a full audit trail. It also guards against Prompt Injection, Jailbreak attacks, and unauthorized shadow AI tools like DeepSeek. Detection runs locally, with an ML API hosted in Europe for full data sovereignty. Zero latency, zero productivity impact.
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    ZeroLeaks

    ZeroLeaks

    ZeroLeaks

    ZeroLeaks is an AI prompt security platform that helps organizations identify and fix exposed system prompts, internal tools, and logic vulnerabilities that could allow prompt injection, prompt extraction, or other forms of leakage that expose internal instructions or intellectual property to unauthorized actors. It provides an interactive dashboard where users can scan system prompts manually or automate scanning via CI/CD integration to catch leaks and injection vectors before code is deployed, and it uses an AI-powered red-team-style analysis engine to assess prompt surfaces for logic flaws, extraction risks, and potential misuse with evidence, scoring, and remediation recommendations. ZeroLeaks targets enterprise-grade security for large-language-model-based products by offering vulnerability assessments that highlight prompt exposure depth, prioritized risks, proof, and access paths for issues found, and suggested fixes such as prompt restructuring, tool gating, etc.
    Starting Price: $499 per month
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    CrowdStrike Falcon AIDR
    CrowdStrike Falcon AI Detection and Response (AIDR) is an enterprise security platform designed to protect the rapidly expanding AI attack surface by delivering real-time visibility, detection, and response across AI systems, users, and interactions. It provides unified visibility into how employees and AI agents use generative AI by mapping relationships between users, prompts, models, agents, and supporting infrastructure, while capturing detailed runtime logs for monitoring, compliance, and investigation. It continuously monitors AI activity across endpoints, cloud environments, and applications, enabling organizations to understand how data flows through AI systems and how agents operate within defined boundaries. AIDR detects and blocks AI-specific threats such as prompt injection, jailbreak attempts, malicious entities, harmful outputs, and unauthorized interactions, using behavioral analysis and integrated threat intelligence.
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    AQtive Guard

    AQtive Guard

    SandboxAQ

    AQtive Guard is a cybersecurity platform that helps organizations secure and manage cryptographic assets and non-human identities (NHIs) such as AI agents, keys, certificates, algorithms, and machine identities across their entire IT environment. It delivers continuous discovery and real-time visibility into NHIs and cryptography, integrating with existing security tools, cloud providers, and repositories to provide a unified view of security posture. Using advanced AI and large quantitative models, the platform analyzes vulnerabilities, prioritizes risks, and offers actionable insights with automated remediation workflows to fix issues and enforce policies such as credential rotation or certificate renewal. AQtive Guard supports compliance with evolving standards, including new NIST cryptographic protocols, and enables lifecycle management of cryptographic assets to reduce risk from current and future threats.
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    Zenity

    Zenity

    Zenity

    Enterprise copilots and low-code/no-code development platforms make it easier and faster than ever to create powerful business AI applications and bots. Generative AI makes it easier and faster for users of all technical backgrounds to spur innovation, automate mundane processes, and craft efficient business processes. Similar to the public cloud, AI and low-code platforms secure the underlying infrastructure, but not the resources or data built on top. As thousands of apps, automation, and copilots are built, prompt injection, RAG poisoning, and data leakage risks dramatically increase. Unlike traditional application development, copilots and low-code do not incorporate dedicated time for testing, analyzing, and measuring security. Unlock professional and citizen developers to safely create the things they need while meeting security and compliance standards. We’d love to chat with you about how your team can unleash copilots and low-code development.
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    LangProtect

    LangProtect

    LangProtect

    LangProtect is an AI-native security and governance platform that protects LLM and Generative AI applications from prompt injection, jailbreaks, sensitive data leakage, and unsafe or non-compliant outputs. Built for production GenAI, it enforces real-time runtime controls at the AI execution layer by inspecting prompts, model responses, and tool/function calls as they happen. This allows teams to block high-risk behavior before it reaches end users, triggers downstream actions, or exposes confidential data. LangProtect integrates into existing LLM stacks via an API-first approach with minimal latency and supports cloud, hybrid, and on-prem deployments for enterprise security and data residency needs. It also secures modern architectures such as RAG pipelines and agentic workflows with policy-driven enforcement, continuous visibility, and audit-ready governance.
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    Proofpoint AI Security
    Proofpoint AI Security is a unified platform designed to help enterprises govern, monitor, and protect the use of AI systems, large language models, and autonomous agents across the organization. It provides visibility into both sanctioned and unsanctioned AI usage, enabling security teams to discover shadow AI tools, observe prompts and responses, and understand how AI interacts with sensitive data in real time. It applies intent-based detection and behavioral analysis to identify anomalies, prompt injection attempts, and risky interactions, while enforcing policies directly during runtime to prevent data leakage and misuse. It reconstructs full AI transactions, from user input to agent actions and outcomes, giving organizations complete traceability and audit readiness. With controls that extend across endpoints, browsers, and AI agent connections, it enables granular access governance and ensures that AI systems only access and share appropriate information.
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    TrendAI Vision One
    TrendAI Vision One™ is an enterprise cybersecurity platform developed by Trend Micro to secure organizations in the AI era. It provides comprehensive visibility across an organization’s entire digital environment, helping eliminate security blind spots. The platform uses AI-driven analytics to prioritize risks based on business impact and urgency. It enables real-time threat detection, response, and mitigation to protect against evolving cyber threats. TrendAI Vision One™ integrates multiple security functions, including endpoint, cloud, network, and data protection, into a unified platform. It also supports secure AI adoption by safeguarding AI applications and systems from risks like data leakage and prompt injection. Overall, the platform transforms security from reactive defense into proactive risk management for modern enterprises.
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    Alice

    Alice

    Alice

    Alice (formerly ActiveFence) is a security, safety, and trust platform built to protect AI systems and online platforms in the GenAI era. Powered by the world’s largest adversarial intelligence dataset, Alice safeguards over 3 billion users across more than 120 languages. Its Rabbit Hole intelligence engine continuously analyzes billions of toxic and manipulative data samples to detect emerging threats in real time. The WonderSuite platform includes tools like WonderBuild for pre-launch stress testing, WonderFence for runtime guardrails, and WonderCheck for automated red-teaming. By defending against prompt injection, jailbreaks, governance gaps, and harmful AI behavior, Alice enables enterprises and foundation model labs to innovate with confidence.
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    FortiNDR

    FortiNDR

    Fortinet

    FortiNDR identifies cybersecurity incidents in-progress based on anomalous network activity, speeding incident investigation and response. FortiNDR enables full-lifecycle network protection, detection, and response. It leverages AI, ML, behavioral, and human analysis to analyze network traffic so security teams can spot attacker behavior and remediate the threat. FortiNDR provides network-traffic and file-based analysis, root-cause identification, scope of incidents, and the tools to remediate incidents quickly. FortiNDR includes our Virtual Security Analyst that can identify malicious network activity and files, resulting in real-time identification of advanced threats, including zero-day attacks. FortiNDR Cloud combines ML/AI with human analysis and expertise to improve your security posture and reduce false positives. Seasoned, advanced threat researchers from FortiGuard Labs monitor cybercriminal activity, perform reverse engineering, and continuously update detection rules.
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    Prompt Security

    Prompt Security

    SentinelOne

    Prompt Security enables enterprises to benefit from the adoption of Generative AI while protecting from the full range of risks to their applications, employees and customers. At every touchpoint of Generative AI in an organization — from AI tools used by employees to GenAI integrations in customer-facing products — Prompt inspects each prompt and model response to prevent the exposure of sensitive data, block harmful content, and secure against GenAI-specific attacks. The solution also provides leadership of enterprises with complete visibility and governance over the AI tools used within their organization.
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    middleBrick

    middleBrick

    middleBrick

    middleBrick is a zero-friction security scanner for APIs and AI models designed for high-performance engineering teams. Unlike traditional scanners that require complex agents or credentials, middleBrick delivers a comprehensive security audit in under 60 seconds by simply analyzing an endpoint URL. Coverage includes 14 critical security categories: Full OWASP API Top 10 (BOLA/IDOR, BFLA, Mass Assignment, SSRF). AI/LLM Security: 18 adversarial probes testing for prompt injection, jailbreaks, and leakage. Web3 & DeFi: Specialized scanning for JSON-RPC nodes (Ethereum, Solana, Cosmos) and price oracle integrity. Integrated for modern workflows with a GitHub Action, CLI, and an MCP server for Claude and Cursor. middleBrick provides prioritized findings with production-ready remediation steps to help you ship secure code today. It is the "smoke alarm" for your API infrastructure, always on, only alerting you when there is a fire.
    Starting Price: $99/month
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    Raven

    Raven

    Raven

    Raven is a runtime application security platform designed to protect cloud-native applications by operating directly inside the application during execution, rather than relying on external defenses. It provides real-time visibility into how code actually runs, allowing it to understand execution flows, libraries, and function-level behavior in order to detect and stop malicious activity before it occurs. Unlike traditional tools such as WAF or EDR that monitor from the outside, Raven embeds itself within the application, enabling it to prevent exploits, supply chain attacks, and zero-day threats even when no known vulnerability or CVE exists. It continuously monitors runtime behavior, identifies abnormal patterns or misuse of legitimate logic, and responds immediately to block harmful execution. It also helps teams prioritize security efforts by filtering out the majority of irrelevant vulnerabilities and focusing only on those that are truly exploitable.
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    ARTEMIS by Repello
    ARTEMIS by Repello AI hunts for vulnerabilities in your AI applications by simulating attacks that malicious actors would use. ARTEMIS tests, identifies, and helps remediate security risks before they can be exploited in production environments. This is powered by world's largest AI-specific threat intelligence repositories. Key Features: 1. Simulates real-world attacks against your AI systems 2. Maps vulnerabilities across your AI infrastructure 3. Provides actionable mitigation recommendations 4. Adapts to evolving threats as your AI applications grow Built by security engineers to protect AI from attackers. Secure your AI early in development and throughout deployment.
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    iDox.ai Guardrail
    iDox.ai Guardrail is a real-time AI security layer that prevents sensitive data exposure in generative AI workflows. It operates at the endpoint to intercept prompts, file uploads, and AI interactions before data leaves the user’s device. Guardrail applies policy-based controls to detect and block sensitive data such as PII, PHI, PCI, intellectual property, and confidential business information. Unlike traditional data loss prevention (DLP) tools, Guardrail is built specifically for AI usage. It monitors how users interact with AI tools like ChatGPT, Microsoft Copilot, and Claude, and enforces protection in real time. Key capabilities include: - Real-time prompt and file monitoring - AI-aware sensitive data detection - On-the-fly anonymization and sanitization - Protection against AI agent risks (e.g., unauthorized file access like OpenClaw) - Website whitelisting and policy enforcement
    Starting Price: $9/device/month
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    EarlyCore

    EarlyCore

    EarlyCore

    EarlyCore is a security platform built for AI agents. It automates pre-production attack testing, real-time monitoring, and compliance reporting across the full agent lifecycle. Scans agents against thousands of attack scenarios covering prompt injection, jailbreaking, data exfiltration, tool misuse, and supply chain threats. In production, tracks every agent action, establishes behavioral baselines, and flags anomalies in real time. Alerts push to Slack, email, or webhooks. Compliance docs generate automatically, mapped to ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR. Always audit-ready. Deploys in 15 minutes with zero code changes. Integrates with AWS Bedrock, Gemini Enterprise Agent Platform, LangChain, and more. Multi-tenant support for agencies and MSSPs. Built for security teams, agencies, and MSSPs securing AI agents at scale.
    Starting Price: $100/month
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    Straiker

    Straiker

    Straiker

    Straiker is an AI-native security platform built specifically to protect enterprise AI applications and autonomous agents, focusing on the emerging risks of “agentic AI” systems that interact with tools, APIs, and sensitive data. It provides full visibility and control across the entire AI stack by analyzing behavioral signals from models, prompts, tools, identities, and infrastructure, enabling real-time detection and prevention of AI-specific threats such as prompt injection, privilege escalation, data exfiltration, and malicious tool usage. It combines continuous discovery, adversarial testing, and runtime protection through core components like Discover AI, Ascend AI, and Defend AI, which together identify all active agents, simulate attacks to uncover vulnerabilities, and enforce real-time safeguards during execution. Its multi-layered architecture captures deep contextual signals across user interactions, networks, and agent workflows.
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    Operant

    Operant

    Operant AI

    Operant AI shields every layer of modern applications, from Infra to APIs. Within minutes of a single-step deployment, Operant provides full-stack security visibility and runtime controls, blocking a wide range of common and critical attacks including data exfiltration, data poisoning, zero day vulns, lateral movement, cryptomining, prompt injection, and more. All with zero instrumentation, zero drift, and zero friction between Dev, Sec, and Ops. Operant's in-line runtime protection of all data-in-use, across every interaction from infra to APIs, brings a new level of defense to your cloud-native apps with zero instrumentation, zero application code changes and zero integrations.
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    TROJAI

    TROJAI

    TROJAI

    Even the best AI models can have hidden risks. Identify and address potential problems before they impact your business, ensuring smooth AI adoption and compliance. AI applications are vulnerable to new and sophisticated attacks. Stay ahead of the curve by protecting your models and applications from data poisoning, prompt injection, and other emerging threats. Leverage cutting-edge public AI services with confidence. We help you ensure responsible use and prevent data leaks, so you can focus on innovation without worry. The TROJAI security platform enables organizations to comply with benchmarks such as the OWASP AI framework as well as privacy regulations by testing models prior to deployment and protecting applications from things such as sensitive data loss once deployed.
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    Snapper

    Snapper

    Snapper

    Snapper is an AI agent security platform designed to provide end-to-end governance and protection for organizations deploying AI agents across applications, networks, and systems. It delivers runtime enforcement by evaluating every agent action, including tool calls, API requests, and data access, before execution through a policy-driven rule engine with multiple enforcement layers. It offers unified visibility into AI usage by monitoring network traffic, browser activity, DNS, and processes to detect unauthorized tools and “shadow AI,” while also intercepting outbound LLM requests through SDK wrappers and a network proxy to evaluate, redact, and log sensitive data in real time. Snapper includes advanced threat detection capabilities that identify prompt injection, exploit chains, anomalous behavior, and multi-step attack patterns using behavioral baselines, kill chain tracking, and composite trust scoring.
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    Reclaim Security

    Reclaim Security

    Reclaim Security

    Reclaim Security is an AI-driven cybersecurity platform designed to automatically identify and fix security exposures across an organization’s existing security tools and infrastructure. Instead of simply detecting vulnerabilities or generating alerts, it focuses on automated remediation, helping security teams resolve misconfigurations, enforce security policies, and reduce risk without requiring extensive manual intervention. It scans the organization’s security stack, including cloud environments, identity platforms, endpoint protection tools, and other defenses, to identify gaps, weak configurations, or ineffective controls that could be exploited by attackers. Once risks are detected, it analyzes them in the context of real-world attack techniques and prioritizes the issues that pose the greatest threat. It then proposes remediation actions and can automatically deploy those changes once approved, ensuring security configurations remain optimized.
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    MCP Defender

    MCP Defender

    MCP Defender

    MCP Defender is an open source desktop application that functions as an AI firewall, designed to monitor and protect Model Context Protocol (MCP) communications. It acts as a secure proxy between AI applications and MCP servers, analyzing all communications for potential threats in real-time. It automatically scans and protects all MCP tool calls, providing advanced LLM-powered detection of malicious activity. Users can manage the signatures used during scanning, allowing for customizable security measures. MCP Defender identifies and blocks common AI security threats, including prompt injection, credential theft, arbitrary code execution, and remote command injection. It supports integration with various AI applications such as Cursor, Claude, Visual Studio Code, and Windsurf, with more applications to be supported in the future. It offers intelligent threat detection, alerting users as soon as it identifies any malicious activity being performed by AI apps.
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    Verax

    Verax

    Verax AI

    Verax offers a comprehensive platform to gain full visibility and control over large language models (LLMs) in production, addressing critical risks like hallucinations, data leakage, and biased outputs. Their Control Center provides real-time detection and automatic remediation to ensure AI models behave responsibly and safely. Verax Explore delivers deep insights into LLM behavior, enabling organizations to analyze user interactions and optimize model quality continuously. Verax Protect, coming soon, focuses on preventing data leakage and maintaining regulatory compliance by controlling access to sensitive information. The platform targets enterprise IT, data science, and innovation leaders who need reliable LLM monitoring to reduce risks and improve deployment success. Verax also educates users through its blog and actively supports AI trust and safety.
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    XBOW

    XBOW

    XBOW

    XBOW is an AI-powered offensive security platform that autonomously discovers, verifies, and exploits vulnerabilities in web applications without human intervention. By executing high-level commands against benchmark descriptions and reviewing outputs it solves a wide array of challenges, from CBC padding oracle and IDOR attacks to remote code execution, blind SQL injection, SSTI bypasses, and cryptographic exploits, achieving success rates up to 75 percent on standard web security benchmarks. Given only general instructions, XBOW orchestrates reconnaissance, exploit development, debugging, and server-side analysis, drawing on public exploits and source code to craft custom proofs-of-concept, validate attack vectors, and generate detailed exploit traces with full audit trails. Its ability to adapt to novel and modified benchmarks demonstrates robust scalability and continuous learning, dramatically accelerating penetration-testing workflows.
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    Codex Security
    Codex Security is an AI-powered application security agent developed by OpenAI to help teams detect and fix vulnerabilities in software systems. The tool analyzes code repositories to understand the structure, architecture, and potential risk areas within a project. Using this context, it identifies complex security issues that traditional scanning tools might overlook. Codex Security prioritizes vulnerabilities based on their real-world impact, helping security teams focus on the most critical threats. The system also validates findings through sandboxed testing environments to reduce false positives and improve accuracy. Once vulnerabilities are confirmed, it proposes patches and remediation steps that align with the system’s existing behavior. By combining AI reasoning with automated validation, Codex Security helps development teams ship more secure code faster.
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    Tumeryk

    Tumeryk

    Tumeryk

    Tumeryk Inc. specializes in advanced generative AI security solutions, offering tools like the AI trust score for real-time monitoring, risk management, and compliance. Our platform empowers organizations to secure AI systems, ensuring reliable, trustworthy, and policy-aligned deployments. The AI Trust Score quantifies the risk of using generative AI systems, enabling compliance with regulations like the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates and scores the trustworthiness of generated prompt responses, accounting for risks including bias, jailbreak propensity, off-topic responses, toxicity, Personally Identifiable Information (PII) data leakage, and hallucinations. It can be integrated into business processes to help determine whether content should be accepted, flagged, or blocked, thus allowing organizations to mitigate risks associated with AI-generated content.
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    Cisco AI Defense
    Cisco AI Defense is a comprehensive security solution designed to enable enterprises to safely develop, deploy, and utilize AI applications. It addresses critical security challenges such as shadow AI—unauthorized use of third-party generative AI apps—and application security by providing full visibility into AI assets and enforcing controls to prevent data leakage and mitigate threats. Key components include AI Access, which offers control over third-party AI applications; AI Model and Application Validation, which conducts automated vulnerability assessments; AI Runtime Protection, which implements real-time guardrails against adversarial attacks; and AI Cloud Visibility, which inventories AI models and data sources across distributed environments. Leveraging Cisco's network-layer visibility and continuous threat intelligence updates, AI Defense ensures robust protection against evolving AI-related risks.
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    Tenable AI Exposure
    Tenable AI Exposure is an agentless, enterprise-grade solution embedded within the Tenable One exposure management platform that provides visibility, context, and control over how teams use generative AI tools like ChatGPT Enterprise and Microsoft Copilot. It enables organizations to monitor user interactions with AI platforms, including who is using them, what data is involved, and how workflows are executed, while detecting and remediating risks such as misconfigurations, unsafe integrations, and exposure of sensitive information (like PII, PCI, or proprietary enterprise data). It also defends against prompt injections, jailbreak attempts, policy violations, and other advanced threats by enforcing security guardrails without disrupting operations. Supported across major AI platforms and deployed in minutes with no downtime, Tenable AI Exposure helps organizations govern AI usage as a core part of their cyber risk strategy.
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    ProGuard

    ProGuard

    Guardsquare

    ProGuard: Open Source Optimizer for Java and Kotlin. ProGuard is the most popular optimizer for Java bytecode. ProGuard also provides minimal protection against reverse engineering by obfuscating the names of classes, fields and methods. ProGuard reduces the download and startup time of Android applications and improves their performance on mobile devices. ProGuard obfuscates Java applications and pre-verifies the processed code for Java Micro Edition and for Java 6 and higher. ProGuard optimizes and obfuscates Java applications for cell phones, Blu-ray players, set-top boxes and other constrained devices. ProGuard fully supports Java and Kotlin applications, enabling developers to take full advantage of these languages’ features without sacrificing performance or security. ProGuard is a command-line tool with an optional graphical user interface. ProGuard is fast: It processes small Android applications and entire runtime libraries in seconds.
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    SAGE

    SAGE

    HolistiCyber

    SAGE, an AI-driven, cyber defense platform, supports the CISOs mission to build and operate an effective and efficient cyber defense plan. It keeps the defense plan relevant and dynamic, automatically ingesting all reports and assessments by various vendors, and its AI connects and analyzes the variables in the defense plan. SAGE is purpose-built for CISOs. It considers the needs of the organization: business impact analysis, risk tolerance, cyber posture, attack surface, etc., then considers attack vectors and analyzes everything with HolistiCyber’s unique methods in seeing the attack surface the way an attacker would. SAGE includes a context map of everything that matters – risks, vulnerabilities, assets, cyber threats, and how they impact the business. The platform provides simple presentation options for management, translating cyber risks into business risks, and includes “what-if” analysis to optimize budget usage for cyber security.
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    Cloudbot

    Cloudbot

    Streamlabs

    Streamlabs Cloudbot is a cloud-based chatbot designed to enhance live streaming experiences on platforms like Twitch and YouTube. It offers 26 unique features that engage audiences and support simultaneous integration with multiple platforms. Cloudbot automates tasks such as announcing new followers and subscribers, sending appreciation messages, and guarding streams against harmful content. It provides customizable commands, allowing streamers to tailor interactions to their community's needs. Features include media share, enabling viewers to request videos without tipping, and safe mode, which protects against harmful content. Cloudbot also supports running polls, giveaways, and loyalty systems to increase viewer engagement. Its user-friendly interface and comprehensive support make it accessible for streamers aiming to enhance their channel's interactivity and moderation.
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    Hunters

    Hunters

    Hunters

    Hunters, the first autonomous AI-powered next-gen SIEM & threat hunting solution, scales expert threat hunting techniques and finds cyberattacks that bypass existing security solutions. Hunters autonomously cross-correlates events, logs, and static data from every organizational data source and security control telemetry, revealing hidden cyber threats in the modern enterprise, at last. Leverage your existing data to find threats that bypass security controls, on all: cloud, network, endpoints. Hunters synthesizes terabytes of raw organizational data, cohesively analyzing and detecting attacks. Hunt threats at scale. Hunters extracts TTP-based threat signals and cross-correlates them using an AI correlation graph. Hunters’ threat research team continuously streams attack intelligence, enabling Hunters to constantly turn your data into attack knowledge. Respond to findings, not alerts. Hunters provides high fidelity attack detection stories, significantly reducing SOC response times.
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    WhyLabs

    WhyLabs

    WhyLabs

    Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks.
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    SandboxAQ

    SandboxAQ

    SandboxAQ

    The emergence of large, fault-tolerant quantum computers poses a significant threat to current public-key cryptography, leaving sensitive data and systems vulnerable to attacks. SandboxAQ was selected by the NIST's National Cybersecurity Center of Excellence for its Migration to Post-Quantum Cryptography project, which partners with industry to help the government develop best practices to transition from current public-key cryptography to post-quantum cryptography algorithms. Easily adhere to new cryptographic requirements and switch between them without requiring additional development or maintenance. Application Analyzer detects and records all calls to cryptographic libraries made by an application at run time, identifying vulnerabilities and policy breaches.
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    HiddenLayer

    HiddenLayer

    HiddenLayer

    Your AI algorithms represent a unique competitive advantage for your company and come at a considerable expense. A successful adversarial attack against them could cost you that advantage and you would never know it happened. HiddenLayer is the first productized solution for the next security frontier – your AI. HiddenLayer offers a drop-in software approach that provides a lightweight, real-time awareness of your model’s health and attack surface — without ever needing insight into it or the training set used to create it. Most adversarial AI security firms need to engage panels of expensive experts to take your algorithm apart and harden it from the inside, adding complexity and cost. HiddenLayer was founded by ML professionals and security specialists with first-hand experience of how insidious adversarial ML attacks can be to detect and defend against.
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    MockK

    MockK

    MockK

    Mocking is a technique to make testing code readable and maintainable. In three consequent articles, I would like to show the basics, features, and quirks of the MockK library. It is a new open-source library (github repository) focused on making mocking in Kotlin great. Injection first tries to match properties by name, then by class or superclass. Check the lookupType parameter for customization. Properties are injected even if private is applied. Constructors for injection are selected from the biggest number of arguments to lowest.
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    WatchGuard Firebox Cloud
    It’s a fact – businesses are migrating services from on-premises servers into the cloud. Email servers, web servers, customer relationship management systems (CRM), and file storage are migrating to public cloud services. With so much sensitive data moving to the cloud, security is essential. WatchGuard’s Firebox Cloud allows network administrators to extend their security perimeter to the cloud and protect servers running within a public cloud environment. WatchGuard Firebox Cloud brings the protection of WatchGuard’s leading Firebox Unified Threat Management (UTM) appliances to public cloud environments. Firebox Cloud can quickly and easily be deployed to protect a Virtual Private Cloud (VPC) from attacks such as botnets, cross-site scripting, SQL injection attempts, and other intrusion vectors.
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    SplxAI

    SplxAI

    SplxAI

    SplxAI offers an automated platform specifically designed for conversational AI applications. Their flagship product, Probe, proactively identifies and mitigates vulnerabilities in AI systems by simulating domain-specific attack scenarios. Key features of Probe include detailed risk analysis, framework and compliance checks, domain-specific penetration testing, continuous and automated testing, and multi-language precision, supporting over 20 languages. The platform integrates seamlessly into development cycles, ensuring AI applications remain secure throughout their lifecycle. SplxAI's mission is to secure and safeguard generative AI-powered conversational apps by providing advanced security and penetration testing solutions, enabling organizations to unlock AI's full potential without compromising security. Evaluate and refine your app’s boundaries for optimal security and user experience without being overly restrictive.
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    UPX

    UPX

    UPX Cybersecurity

    UPX (Ultimate Packer for eXecutables) is a high-performance executable compression tool designed to reduce the size of programs and libraries without affecting their functionality or performance. It works by compressing executable files such as EXE, DLL, and other formats across multiple operating systems, including Windows, Linux, and macOS, typically reducing file sizes by 50% to 70%, which helps decrease disk usage, download times, and network load. The compressed executables remain fully self-contained and run exactly as before, as it automatically decompress at runtime without requiring additional dependencies or noticeable memory overhead. UPX uses efficient lossless compression algorithms and supports in-place decompression, allowing programs to execute directly from memory while preserving speed and behavior. It is designed to be secure and transparent, as its open-source nature allows antivirus and security tools to inspect compressed files without obstruction.
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    Acuvity

    Acuvity

    Acuvity

    Acuvity is the most comprehensive AI security and governance platform for your employees and applications. DevSecOps implements AI security without code changes and devs can focus on AI Innovation. Pluggable AI security results in completeness of coverage, without old libraries or insufficient coverage. Optimize costs by efficiently using GPUs only for LLM models. Full visibility into all GenAI models, apps, plugins, and services that your teams are using and exploring. Granular observability into all GenAI interactions with comprehensive logging and an audit trail of inputs and outputs. AI usage in enterprises requires a specialized security framework that is able to address new AI risk vectors and comply with emerging AI regulations. Employees can use AI confidently, without risking exposing confidential data. Legal would like to ensure there are no copyright, or regulatory issues while using AI-generated content.
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    Syspeace

    Syspeace

    Treetop Innovation

    Syspeace protects Windows Servers from potentially harmful incidents, like hacking and brute force attacks. Making it a essential complement to firewalls and anti-virus solutions. Syspeace is free to download and try for 30 days. When you ready; our per-computer licenses are affordable and flexible – you only pay for what you need. And also: All updates are included. Imagine this. Your company has a physical facility. If someone repeatedly tries to gain access with a fake key or invalid key card, you would expect that your security guards would provide protection and not let the intruder through. For your servers, you might think antivirus and firewall protection would be enough? Unfortunately, antivirus and firewall software only help against attacks at some gates of your facility, but does not take action against intruders.
    Starting Price: $4.20/month/server