Alternatives to SPLX

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

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    Pentera

    Pentera

    Pentera

    Pentera (formerly Pcysys) is an automated security validation platform that helps you improve security so you can know where you stand at any given moment. It tests all cybersecurity layers by safely emulating attacks, arming you with a risk-based remediation roadmap. Pentera identifies true risk and security exposure so you can focus on the 5% of weaknesses that constitute 95% of the actual risk. Pentera is an agentless, low-touch, fully automated platform that requires no prior knowledge of the environment. The solution can see what no one else does, providing immediate discovery and exposure validation across a distributed network infrastructure. With Pentera, security teams can think and act as your adversary does, giving you the insights required for anticipating and preventing an attack before it happens. Hundreds of organizations trust Pentera‘s do-no-harm policy with no locked users, zero network downtime, and no data manipulation.
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    ZeroPath

    ZeroPath

    ZeroPath

    ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with advanced program analysis to find and automatically fix vulnerabilities. ZeroPath provides complete security coverage: 1. AI-powered SAST for business logic flaws & broken authentication 2. SCA with reachability analysis 3. Secrets detection and validation 4. Infrastructure as Code 5. Automated patch generation. any more... ZeroPath delivers 2x more real vulnerabilities with 75% fewer false positives. Our research team has been successful in finding vulns like critical account takeover in better-auth (CVE-2025-61928, 300k+ weekly downloads), identifying 170+ verified bugs in curl, and discovering 0-days in production systems at Netflix, Hulu, and Salesforce. Trusted by 750+ companies and performing 200k+ code scans monthly.
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    Kiuwan Code Security
    Kiuwan is an end-to-end application security platform that integrates seamlessly into your development process. Our toolset includes Static Application Security Testing (SAST), Software Composition Analysis (SCA), Software Governance and Code Quality, empowering your team to quickly identify and remediate vulnerabilities. Integrating into your CI/CD pipeline, Kiuwan enables early detection and remediation of security issues. Kiuwan supports strict compliance with industry standards including OWASP, CWE, MISRA, NIST, PCI DSS, and CERT, among others. ✅ Large language support: 30+ programming languages. ✅ Detailed action plans: Prioritize remediation with tailored action plans. ✅ Code Security: Seamless Static Application Security Testing (SAST) integration. ✅ Insights: On-demand or continuous scanning Software Composition Analysis (SCA) to help reduce third-party threats. ✅ One-click Software Bill of Materials (SBOM) generation Code Smarter. Secure Faster. Ship Sooner.
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    Invicti Web + API

    Invicti Web + API

    Invicti Security

    Invicti Web + API, formerly Acunetix, is a dynamic application security testing (DAST) platform for identifying and validating vulnerabilities across web applications, APIs, and other runtime assets. The platform automatically discovers applications, APIs, shadow assets, unlinked pages, and undocumented endpoints while supporting modern JavaScript applications and authenticated workflows. Its scanning engine detects more than 7,000 types of security issues, including vulnerabilities covered by the OWASP Top 10 and OWASP API Top 10 as well as business logic flaws. Invicti combines AI-driven risk scoring with runtime reachability, exploitability, and business context to help security teams prioritize vulnerabilities that represent demonstrable risk.
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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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    Google AI Threat Defense
    Google AI Threat Defense is an AI-powered cybersecurity platform designed to help organizations proactively predict, prioritize, and remediate threats at machine speed. Combining the reasoning capabilities of Gemini, contextual risk analysis from Wiz, automated code remediation through Gemini and CodeMender, and frontline threat intelligence from Mandiant, the platform enables security teams to continuously identify exposures, validate risks, accelerate remediation, and monitor environments for emerging threats. Built around a four-step framework of Prepare, Scan, Remediate, and Monitor, Google AI Threat Defense helps organizations strengthen security across multicloud, AI, SaaS, code, and hybrid environments while reducing response times and improving operational resilience against modern AI-driven attacks.
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    TrojAI

    TrojAI

    TrojAI

    TrojAI is an AI security platform that helps organizations deploy and manage AI agents and applications with greater confidence and protection. The platform focuses on identifying vulnerabilities, preventing prompt injection attacks, safeguarding sensitive data, and securing AI behavior across enterprise environments. TrojAI provides both build-time and runtime security solutions that help organizations assess AI models and protect applications from emerging threats. Its technology continuously monitors AI interactions to detect unsafe actions, unauthorized access attempts, and malicious manipulations. The platform supports compliance with leading security frameworks and standards while integrating across different models, cloud providers, and enterprise infrastructures. Designed for enterprise-scale deployments, TrojAI enables organizations to innovate with AI while maintaining strong governance and security controls.
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    Mindgard

    Mindgard

    Mindgard

    Mindgard is an automated AI red teaming and offensive security platform purpose-built for AI systems and agents. Built for security and engineering teams accountable for AI in development and production, it continuously red teams models, agents, and applications to find the vulnerabilities most likely to cause a breach, validate whether guardrails and controls hold, and show teams how to close each gap. AI red teaming tests emulate real attacker behavior across prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, and map findings to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Unlike traditional AppSec tools or manual penetration testing, Mindgard cuts AI risk assessment from weeks to hours, pinpoints and validates defensive gaps, and supports continuous policy compliance as AI systems change. Capabilities: AI Discovery & Recon, AI Red Teaming, AI Assessment, AI Runtime Protection, Model Scanning, AI Governance & Compliance. SOC 2 Type
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    Tenable One AI Exposure
    Tenable One 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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    Enkrypt AI

    Enkrypt AI

    Anaconda

    Enkrypt AI is an agentic AI security and compliance platform designed to protect AI applications, models, agents, and their interactions throughout deployment. The platform combines continuous red teaming, real-time guardrails, monitoring, and policy enforcement to help organizations identify and mitigate AI security, safety, compliance, and brand risks. Enkrypt AI dynamically tests AI systems with use-case-specific attacks to uncover issues such as prompt injection, jailbreaking, data leakage, hallucinations, bias, harmful content, model drift, and unsafe agent actions. Real-time guardrails analyze AI interactions and block threats as they occur while adapting to changing prompts and emerging risks. Its compliance capabilities translate internal policies and external regulations into automated controls while producing evidence that organizations can use for audits and governance.
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    OpenAI Daybreak
    OpenAI Daybreak is frontier AI for cyber defenders and OpenAI’s vision for changing the way software is built and defended. Daybreak means seeing risk earlier, acting sooner, and helping make software resilient by design, starting from the premise that the next era of cyber defense should be built into software from the beginning. It is not only about finding and patching vulnerabilities, but about helping systems become resilient to them by design. Daybreak brings AI into modern cyber defense by helping defenders reason across codebases, identify subtle vulnerabilities, validate fixes, analyze unfamiliar systems, and move from discovery to remediation faster. Because those same capabilities can be misused, Daybreak pairs expanded defensive capability with trust, verification, proportional safeguards, and accountability. It combines the intelligence of OpenAI models, the extensibility of Codex as an agentic harness, and security partners across the security flywheel.
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    F5 AI Guardrails
    F5 AI Guardrails is a runtime AI security solution designed to protect AI models, applications, agents, and connected data throughout deployment and operation. The platform helps organizations defend against adversarial threats such as prompt injection, jailbreak attacks, harmful outputs, and unauthorized AI behavior. It provides real-time monitoring and enforcement of security policies to prevent data leakage, compliance violations, and misuse of AI systems. Organizations can implement predefined guardrails or create customized policies tailored to specific business requirements and AI use cases. The platform also delivers observability, auditing, and governance capabilities that help organizations maintain visibility into AI interactions and regulatory compliance. By combining threat protection, data security, and AI governance, F5 AI Guardrails helps enterprises operate AI systems more safely and responsibly.
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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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    Gray Swan

    Gray Swan

    Gray Swan

    Gray Swan is an enterprise AI security and evaluation platform that helps organizations deploy AI with confidence by protecting LLM applications, agents, and model deployments from emerging threats, policy violations, and harmful content. It integrates with any LLM provider to add security without disrupting existing workflows, combining automated adversarial testing, continuous red teaming, runtime monitoring, and adaptive protections. Gray Swan tests beyond known attacks by using threat intelligence from 15,000+ adversarial researchers and more than three million attack attempts generated through its Arena, helping teams discover vulnerabilities before they appear in public databases. Its core products include Shade, an advanced AI vulnerability assessment platform that continuously probes LLMs like a security researcher working 24/7, and Cygnal, a runtime monitoring and protection layer for AI interactions.
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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.
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    IBM QRadar SIEM
    Market-leading SIEM built to outpace the adversary with speed, scale and accuracy As digital threats loom large and cyber adversaries grow increasingly sophisticated, the roles of SOC analysts are more critical than ever. Going beyond threat detection and response, QRadar SIEM enables security teams face today’s threats proactively with advanced AI, powerful threat intelligence, and access to cutting-edge content to maximize analyst potential. Whether you need cloud-native architecture built for hybrid scale and speed or a solution to complement your on-premises infrastructure, IBM can provide you with a SIEM to meet your needs. Experience the power of IBM enterprise-grade AI designed to amplify the efficiency and expertise of every security team. With QRadar SIEM, analysts can reduce repetitive manual tasks like case creation and risk prioritization to focus on critical investigation and remediation efforts.
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    NeuralTrust

    NeuralTrust

    NeuralTrust

    NeuralTrust is the leading platform for securing and scaling LLM applications and agents. It provides the fastest open-source AI gateway in the market for zero-trust security and seamless tool connectivity, along with automated red teaming to detect vulnerabilities and hallucinations before they become a risk. Key Features: - TrustGate: The fastest open-source AI gateway, enabling enterprises to scale LLMs and agents with zero-trust security, advanced traffic management, and seamless app integration. - TrustTest: A comprehensive adversarial and functional testing framework that detects vulnerabilities, jailbreaks, and hallucinations, ensuring LLM security and reliability. - TrustLens: A real-time AI observability and monitoring tool that provides deep insights and analytics into LLM behavior.
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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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    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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    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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    GuardionAI

    GuardionAI

    GuardionAI

    GuardionAI is an Agent and MCP Security Gateway that provides unified security for AI agents and Model Context Protocol tools operating on enterprise data. It sits in the execution path to discover, redact sensitive data, enforce protection, and give teams visibility into actions that traditional SIEM, DLP, and identity layers cannot see. Every agent action is inspected, enforced, and logged at the protocol level across AI agents, LLM apps, RAG systems, chatbots, coding agents, MCP servers, internal tools, databases, operating systems, and cloud environments. GuardionAI protects against critical AI threats such as prompt injection, system override, web attacks, MCP tool poisoning, malicious code execution, NSFW content, PII and credential exposure, confidential data leakage, off-topic drift, and unauthorized access, mapped to OWASP LLM Top 10 and agentic AI threat frameworks. Its gateway provides four layers of protection.
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    Tenable One Web App Scanning
    Tenable One Web App Scanning is a dynamic application security testing solution designed to help organizations secure modern web applications and APIs. The platform provides automated DAST and API scanning to identify issues such as OWASP Top 10 risks, vulnerable web app components, misconfigurations, certificate problems, and other application exposures. It helps teams scan quickly, simplify setup, unify visibility, and deploy scanning in different environments. As part of Tenable One, the solution connects web app and API risk into a broader exposure management platform. Security teams can use it to manage infrastructure and web application findings in one interface for a clearer view of risk. Tenable One Web App Scanning helps organizations find and fix critical weaknesses faster while improving application security at scale.
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    Lasso Security

    Lasso Security

    Lasso Security

    Lasso is an AI security platform designed to help enterprises securely adopt, govern, and protect AI agents and applications throughout their lifecycle. The platform provides capabilities for AI discovery, risk assessment, automated red teaming, runtime protection, and AI detection and response within a unified solution. Organizations can inventory AI assets, map models and system prompts, monitor policy compliance, and gain visibility into AI usage across the enterprise. Lasso focuses on intent-based security, analyzing the behavior and objectives of AI systems rather than relying solely on traditional rule-based approaches. Its platform helps organizations address risks such as prompt injection, model vulnerabilities, unauthorized AI usage, and evolving threats targeting agentic systems. By combining governance, security monitoring, and proactive protection, Lasso enables enterprises to scale AI adoption while maintaining strong security and compliance standards.
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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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    Cortex Agentic Endpoint Security
    Palo Alto Networks Cortex Agentic Endpoint Security (AES) is an AI-native endpoint security platform designed to protect enterprise devices from risks associated with autonomous AI agents and modern software applications. The platform continuously discovers AI agents, local models, browser extensions, IDE plugins, Model Context Protocol (MCP) servers, and other software components operating on endpoints. Its context-aware risk analysis evaluates software dependencies, permissions, behaviors, and potential security exposures to help organizations prioritize threats. Cortex AES provides automated governance policies and security guardrails that control agent interactions and restrict potentially unsafe software. Its real-time prevention capabilities block malicious agent actions, prompt injection attacks, unauthorized data access, and risky software execution before they cause damage.
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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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    Panoptic Scans

    Panoptic Scans

    Panoptic Scans

    Panoptic Scans is a vulnerability scanning software offering automated security assessments for applications and networks. Leveraging OpenVAS, ZAP, Nuclei, and Nmap, it identifies security issues and scans for OWASP Top 10 vulnerabilities, delivering detailed reports for easy remediation. The Attack Narratives feature illustrates how weaknesses can be exploited in combination by attackers. Scheduled scanning ensures consistent monitoring without manual effort, while OpenVAS and ZAP provide thorough network and application security testing. The platform includes a user-friendly interface, email notifications, and fully managed scanners, removing server maintenance concerns. It supports white-label reporting and ensures reliable performance through its managed infrastructure.
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    Tenable One Vulnerability Management
    Tenable One Vulnerability Management is a risk-based vulnerability management solution that helps organizations discover, prioritize, and remediate critical exposures across modern attack surfaces. The platform unifies vulnerability insights with broader security data inside the Tenable One exposure management platform. It helps teams see assets, contextualize vulnerabilities, prioritize risks, optimize response, automate remediation, and use Hexa AI for exposure management support. Tenable One Vulnerability Management is designed to help security teams focus on the weaknesses that create the greatest business risk instead of treating every vulnerability the same. The platform supports related needs such as patch management, PCI compliance, web app scanning, attack surface management, cloud vulnerability management, and on-premises vulnerability management through Tenable Security Center.
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    DeepKeep

    DeepKeep

    DeepKeep

    DeepKeep is an AI security platform that helps organizations securely build, deploy, and use AI applications, agents, models, and employee AI tools. It addresses risks traditional security controls were not designed for, including prompt injection, sensitive data leakage, hallucinations, unsafe outputs, agent misuse, malicious models, and shadow AI. DeepKeep secures the full AI lifecycle through automated and Vibe AI Red Teaming, real-time AI Firewall and guardrails, AI Usage Control, AI Agent Scanner, and Model Scanning. It enables security teams to identify vulnerabilities before deployment, map agent attack surfaces, inspect models, control employee AI usage, and protect AI interactions in production. DeepKeep is model-agnostic, multimodal, and natively multilingual. It supports SaaS, private cloud, on-premises, and air-gapped deployments, helping enterprises secure AI while meeting privacy, sovereignty, and regulatory requirements.
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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.
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    CyberRiskAI

    CyberRiskAI

    CyberRiskAI

    Conduct cybersecurity risk audit with CyberRiskAI. We offer a fast, accurate, and affordable service for businesses that want to identify and mitigate their cybersecurity risks. Our AI-powered assessments provide businesses with valuable insights into potential vulnerabilities, enabling you to prioritize their security efforts and protect your company’s sensitive data. Comprehensive cybersecurity audit & risk assessment. All-in-one risk assessment tool and template. Uses the NIST cybersecurity audit framework. Quick and easy to set up and run, we offer a hands-off service. Automate your quarterly cybersecurity risk audit. Data gathered is confidential and stored securely. By the end of the audit, you’ll have all the information you need to mitigate your organization’s cybersecurity risks. With the valuable insights gained in potential vulnerabilities, you can prioritize your team’s security efforts to protect and mitigate cybersecurity risks.
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    VibeSecurity

    VibeSecurity

    VibeSecurity

    VibeSecurity is an AI-powered vulnerability scanning platform designed to protect AI-generated code by continuously analyzing, detecting, and remediating security flaws throughout the development lifecycle. It focuses on modern “vibe coding” workflows, where developers rely on AI tools to generate code quickly, but often introduce hidden vulnerabilities such as insecure authentication, exposed tokens, or injection risks. It uses intelligent agents to perform real-time code analysis, identifying security issues before they reach production and providing automated fix suggestions with implementation guidance. It integrates directly into developer environments through IDE plugins, GitHub applications, and CI/CD pipelines, enabling continuous monitoring of repositories, pull requests, and deployments without disrupting workflows.
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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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    depthfirst

    depthfirst

    depthfirst

    depthfirst is an AI-native application security platform designed to help organizations detect, prioritize, and fix software vulnerabilities by deeply understanding their code, infrastructure, and business logic as a unified system. depthfirst, built around its core “General Security Intelligence,” analyzes entire repositories and environments to map how systems actually function, enabling it to uncover complex, real-world vulnerabilities that traditional scanners often miss. It evaluates full attack paths, permissions, and data flows to determine whether an issue is truly exploitable, significantly reducing false positives and allowing teams to focus only on meaningful risks. depthfirst operates across multiple layers of the stack, including source code, dependencies, secrets, containers, and running applications, providing continuous security coverage from development through production.
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    Hacker Target

    Hacker Target

    Hacker Target

    Simplify the security assessment process with hosted vulnerability scanners. From attack surface discovery to vulnerability identification, actionable network intelligence for IT & security operations. Proactively hunt for security weakness. Pivot from attack surface discovery to vulnerability identification. Find security holes with trusted open source tools. Get access to tools used by penetration testers and security professionals around the world. Hunt vulnerabilities from the attackers perspective. Simulating real world security events, testing vulnerabilities and incident response. Discover the attack surface with tools and open source intelligence. Protect your network with improved visibility. Over 1 million scans performed last year. Our vulnerability scanners have been launching packets since 2007. Fixing security issues requires you find them. Identify the issue, re-mediate the risk and test again to be sure.
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    CyCraft XecGuard
    XecGuard is CyCraft’s LLM Firewall for trustworthy, agentic AI, designed to protect enterprise AI systems from prompt injection, jailbreak, prompt extraction, data leakage, unsafe outputs, and agentic workflow risks. Built on CyCraft’s red teaming and blue teaming experience across government, finance, and high-tech manufacturing, XecGuard goes beyond model-level defenses by combining AI guardrails, cybersecurity controls, compliance protection, and risk response strategies for real-world enterprise AI adoption. It is positioned as a plug-and-play LoRA security module that can strengthen LLM defenses without requiring changes to the underlying model architecture, helping teams add protection quickly while preserving performance. XecGuard is built on proprietary security datasets and multi-stage fine-tuning techniques, enabling LLMs to better resist adversarial prompts, malicious manipulation, and attempts to extract protected instructions or sensitive information.
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    Flint AI

    Flint AI

    SandboxAQ

    Flint AI is a local-first, framework-agnostic AgentOps CLI that helps developers determine whether an AI agent is reliable before it reaches production. One command, flintai scan, analyzes Python source code for security vulnerabilities, misconfigurations, risky tool access, missing guardrails, and quality issues, then uses AI reasoning to triage likely false positives. A second command, flintai eval, sends functional and adversarial prompts to a running agent and scores its responses across more than 35 built-in evaluations, including factual accuracy, instruction adherence, prompt injection resistance, jailbreak resilience, and other runtime behaviors. Each agent receives a reliability score, with findings mapped to OWASP Agentic Security Initiative risks ASI01 through ASI10 and severity scored using CVSS v4.0. Flint AI works with agent frameworks and SDKs including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen.
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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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    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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    Indusface WAS

    Indusface WAS

    Indusface

    Get the most comprehensive application security audit done today. Indusface WAS with its automated scans & manual pen-testing ensures none of the OWASP Top10, business logic vulnerabilities and malware go unnoticed. With zero false positive guarantee and comprehensive report with remediation guidance, Indusface web app scanning ensures developers quickly fixes vulnerabilities. The proprietary scanner built ground up, keeping js framework driven, single page applications in mind to provide complete & intelligent crawling. With latest threat intelligence, get extensive web app scanning for vulnerabilities, and malware. Support on a functional understanding of logical flaws for an in-depth security audit.
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    PHP Secure

    PHP Secure

    PHP Secure

    PHP Secure is a FREE code scanner that analyzes your PHP code for critical security vulnerabilities. Free online scanner: - Quickly and qualitatively finds web app vulnerabilities - Gives explicit reports and recommendations to fix vulnerabilities - Easy to use and requires no specialized knowledge - Reduces risk, saves budget, and boosts productivity PHP Secure Scanner is suitable for analyzing sites on Php, framework Laravel, and CMS Wordpress, Drupal and Joomla. PHP Secure detects the most common and dangerous types: -SQL injection vulnerabilities -Command Injection -Cross-Site Scripting (XSS) Vulnerabilities -PHP Serialize Injections -Remote Code Executions -Double Escaping -Directory Traversal -Regular Expression Denial of Service (ReDos)
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    Hakware Archangel
    Hakware Archangel is an Artificial Intelligence based vulnerability scanner and pentesting tool. Archangel scanner enables organizations to monitor their networks, systems, and applications for security vulnerabilities with advanced Artificial intelligence continuously testing your environment. Why use Archangel? -Identify vulnerabilities before cyber criminals do -Our vulnerability scanning mitigates the risks of a data breach, which will come with a range of costs, including remediation, the loss of customers as a result of reputational damage and fines -Vulnerability scanning is not explicitly required by the GDPR (General Data Protection Regulation) or POPI (Protection Of Personal Information Act), but the -Regulation does require organisations that process personal data to ensure that they have implemented appropriate technical and organisational security measures – which includes identifying vulnerabilities -The international standard for information security, ISO 27001
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    AgileBlue

    AgileBlue

    AgileBlue

    AgileBlue is an AI-native Security Operations platform that continuously detects, investigates, and automatically responds to cyber threats across an organization’s entire digital infrastructure, endpoint, cloud, and network—by combining decision-making AI with 24/7 expert support to reduce noise, accelerate investigations, and stop attacks before they disrupt operations. Its unified platform includes multiple critical modules such as intelligent SIEM for correlated, contextual threat visibility, automated vulnerability scanning to uncover risks before they’re exploited, cloud security for multi-cloud visibility and proactive misconfiguration detection, and real-time threat prioritization powered by Sapphire AI that learns and adapts from every signal to reduce false positives and alert fatigue. AgileBlue’s lightweight Cerulean agent delivers real-time endpoint visibility without performance drag.
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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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    PenScan

    PenScan

    PenScan

    PenScan is a Security Intelligence Platform designed to help organizations discover, assess, prioritize, and manage vulnerabilities across their web applications and digital assets. It combines automated security scanning with vulnerability management and actionable security workflows to help teams identify weaknesses before they can be exploited. PenScan supports multiple security scanners and provides features including vulnerability discovery, risk prioritization, vulnerability triage and assignment, asset and subdomain discovery, scheduled and recurring scans, scan comparison, multi-domain management, remediation tracking, and detailed security reporting. Security teams can generate dedicated Executive, Technical, and Compliance reports, as well as combined multi-target reports for a broader view of their security posture. PenScan helps teams move from simply discovering vulnerabilities to understanding, prioritizing, assigning, and tracking them through remediation.
    Starting Price: ₹2900 per scan
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    ZeusLock

    ZeusLock

    ZeusLock

    ZeusLock is an AI-focused Data Loss Prevention (DLP) solution that protects organizations from sensitive data exposure when using generative AI. It analyzes prompts, files and images in real time to detect, anonymize or block API keys, passwords, tokens, card numbers, IBANs and personal data before they leave the company. ZeusLock secures ChatGPT, Claude, Gemini, Copilot, Perplexity, Mistral, Cursor and more, while defending against prompt injection and jailbreak attacks. Each data type is set to Off, Alert or Block per policy, with format-preserving anonymization, incident monitoring, compliance reporting and Shadow AI discovery with risk scoring. Available as an EU-hosted SaaS or as the on-premise Sovereign Edition with no US cloud dependency, ZeusLock protects browsers, desktop apps, IDEs, CLIs, MCP and AI agents on Windows, macOS and Linux, supporting GDPR, EU AI Act, NIS2 and DORA compliance.
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    Heeler

    Heeler

    Heeler

    Heeler is an application security platform that helps development and security teams automate the detection, prioritization, and remediation of open source and application risks by unifying contextual data from code, runtime, deployment, dependencies, and business logic into a single actionable model. It combines static and runtime analysis, software composition analysis, threat modeling, and secrets scanning with a context engine that maps how code runs in production, enabling real-time threat prioritization based on exploitability and business impact rather than raw vulnerability counts. Heeler automatically generates validated remediation guidance and can even produce merge-ready pull requests to upgrade libraries or fix issues, reducing manual research and accelerating fixes. It provides end-to-end visibility across the software development lifecycle, tracking vulnerabilities from identification through resolution and monitoring fixes across deployments.
    Starting Price: $250 per developer
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    IBM Guardium Vulnerability Assessment
    IBM Guardium Vulnerability Assessment scans data infrastructures (databases, data warehouses and big data environments) to detect vulnerabilities and suggest remedial actions. The solution identifies exposures such as missing patches, weak passwords, unauthorized changes and misconfigured privileges. Full reports are provided as well as suggestions to address all vulnerabilities. Guardium Vulnerability Assessment detects behavioral vulnerabilities such as account sharing, excessive administrative logins and unusual after-hours activity. It identifies threats and security gaps in databases that could be exploited by hackers. Discover and classify sensitive data in heterogeneous environments. View detailed reporting on entitlements and risky configurations. Automate compliance audits and exception management.
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    CardinalOps

    CardinalOps

    CardinalOps

    The CardinalOps platform is an AI-powered threat exposure management solution designed to provide organizations with an integrated view of prevention and detection controls across endpoint, cloud, identity, network, and more. It aggregates findings from misconfigurations, unsecured internet-facing workloads, missing hardening controls, and gaps in detection or prevention to give full visibility of exposures and prioritize actions based on business context and adversary tactics. The system continuously maps detections and controls to the MITRE ATT&CK framework to assess coverage depth and identify broken, noisy, or missing detection rules, while also generating deployment-ready detection content customized to each environment via native API integration with major SIEM/XDR tools such as Splunk, Microsoft Sentinel, IBM QRadar, and others. Through its automation and threat intelligence operationalization features, it helps security teams remediate exposure faster.
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    Troy

    Troy

    BigBear.ai

    Troy is an AI-powered, machine-assisted binary analysis platform developed by BigBear.ai to enhance cybersecurity vulnerability assessment and testing. It automates the process of binary reverse engineering, providing better visibility into the code running on sensors and devices. By intelligently automating common tools and techniques, Troy extracts significant data and produces unique insights, accelerating the identification of software vulnerabilities. A key feature of Troy is its ability to generate a reverse Software Bill of Materials (SBOM) for binaries lacking available source code, reducing manual labor and increasing analysis speed. The platform's modular and customizable design allows for the integration of new tools, techniques, and AI-backed analysis into expanding workflows, offering a scalable and flexible framework for cybersecurity professionals.