Alternatives to ZeroLeaks
Compare ZeroLeaks alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to ZeroLeaks in 2026. Compare features, ratings, user reviews, pricing, and more from ZeroLeaks competitors and alternatives in order to make an informed decision for your business.
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Wiz
Wiz
Wiz is a new approach to cloud security that finds the most critical risks and infiltration vectors with complete coverage across the full stack of multi-cloud environments. Find all lateral movement risks such as private keys used to access both development and production environments. Scan for vulnerable and unpatched operating systems, installed software, and code libraries in your workloads prioritized by risk. Get a complete and up-to-date inventory of all services and software in your cloud environments including the version and package. Identify all keys located on your workloads cross referenced with the privileges they have in your cloud environment. See which resources are publicly exposed to the internet based on a full analysis of your cloud network, even those behind multiple hops. Assess the configuration of cloud infrastructure, Kubernetes, and VM operating systems against your baselines and industry best practices. -
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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.Starting Price: Free -
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Skybox Security
Skybox Security
The Skybox approach to risk-based vulnerability management starts with fresh vulnerability data from your entire network — physical IT, multi–cloud and operational technology (OT). Skybox uses a wide range of sources, including asset and patch management systems and network devices, to assess vulnerabilities without a scan. We also collect, centralize and merge data from multiple scanners to give you the most accurate vulnerability assessments on demand. Centralize and enhance vulnerability management processes from discovery to prioritization and remediation. Harness the power vulnerability and asset data, as well as network topology and security controls. Use network modeling and attack simulation to find exposed vulnerabilities. Augment vulnerability data with intelligence on the current threat landscape. Know your best remediation option, including patching, IPS signatures and network–based changes. -
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WebOrion Protector Plus
cloudsineAI
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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Constellation Gate AI
Constellation Gate AI
Constellation Gate AI is a drop-in defense layer for AI agents, built to sit between the agent and the model while screening every request for attacks and leaks. Gate acts as an inline gateway for coding agents and model APIs, protecting workflows without requiring major code changes. Users can point existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode at Gate and inherit prompt-injection defense, secret scanning, PII redaction, token optimization, and a verifiable audit trail. The platform is designed around three real risks: prompt injection, credential and PII leakage, and hijacked tool calls. Instead of relying on the model to defend itself, Gate blocks attacks before they reach the model, redacts secrets before responses return, and stops attacker-controlled tool outputs before an agent acts on them. Gate accepts the same calls an agent already makes, forwards them to the model, scans every call and response in both directions. -
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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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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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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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White Circle
White Circle
White Circle is a unified AI control platform designed to provide end-to-end visibility, safety, and performance optimization for AI systems by combining testing, protection, monitoring, and improvement into a single integrated layer. It acts as a centralized control system that sits between AI models and users, analyzing every input and output in real time to ensure compliance with safety, security, and quality standards. It includes automated stress-testing capabilities that simulate risky prompts and real-world attack scenarios, allowing teams to detect vulnerabilities such as hallucinations, prompt injections, data leaks, and policy violations before deployment. It also features a protection layer that enforces custom rules through low-latency guardrails, blocking, rewriting, or flagging unsafe outputs instantly while preventing misuse of tools, unauthorized actions, or exposure of sensitive information.Starting Price: Free -
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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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Proofpoint AI Security
Proofpoint
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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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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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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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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NVADR
RedHunt Labs
Discover, track and secure your exposed assets. You provide us the seed information, such as your company domain(s). Using 'NVADR', we discover your perimeter attack surface and monitor for sensitive data leakage. A comprehensive vulnerability assessment is performed on the discovered assets and security issues with an actual impact are identified. Continuously monitor the Internet for code / secret information leakage notify you as any such information about your organization is leaked. A detailed report is provided with analytics, stats and visualizations for your organization's Attack Surface. Comprehensively discover your Internet Facing Assets using our Asset Discover Platform, NVADR. Identify verified and correlated shadow IT hosts along with their detailed profile. Easily track your assets in a Centrally Managed Inventory complimented with auto-tagging and Assets classification. Get notification of newly discovered assets as well as attack vectors affecting your assets. -
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Rafter
Rafter
Rafter is a developer-friendly security scanning platform that lets you detect and address vulnerabilities in your GitHub repositories with a single click or command. It integrates seamlessly via a browser-based dashboard, CLI, or REST API to scan JavaScript, TypeScript, and Python code for a range of issues, including exposed API keys, SQL injection, XSS flaws, insecure dependencies, hardcoded credentials, and authentication weaknesses. Results are clearly categorized into “Errors,” “Warnings,” and “Improvements,” each offering detailed explanations, code locations, remediation steps, and formatted prompts ready to paste into AI coding assistants. You can view findings in JSON or Markdown, automate scans within CI/CD pipelines, and pull scan results directly into your workflows. Whether you prefer no-code, low-code, or full-code environments, Rafter adapts flexibly to your setup, making proactive security early in development effortless and scalable.Starting Price: $39 -
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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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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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General Analysis
General Analysis
General Analysis is an AI security platform that helps security teams adversarially test, monitor, and protect AI agents and systems in production. It is built to help organizations understand AI risk, prevent incidents, and secure real AI deployments across employee copilots, coding agents, customer support agents, healthcare assistants, legal assistants, financial copilots, creative pipelines, and other agentic workflows. It maps AI applications and agents across prompts, retrieval, tools, MCP servers, browser actions, permissions, repositories, cloud accounts, SaaS workflows, and business processes, then generates context-aware attacks that expose system-level risks. Its automated red teaming uses attacker models that adapt to target responses and produce multi-step exploit chains, helping teams uncover vulnerabilities that static prompt sets or endpoint-only tests may miss. -
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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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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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SecVibe
SecVibe
SecVibe is an AI-powered security copilot designed for vibe coding and AI-assisted development. It analyzes developer prompts and AI-generated code in tools like Cursor and VS Code to automatically detect vulnerabilities, enforce secure coding practices, and inject security-by-design controls in real time. Unlike traditional SAST or DAST tools that scan after development, SecVibe works at the prompt and generation level — helping teams prevent security flaws before they reach production. It’s built for startups, enterprises, and security teams that want to move fast with AI while staying compliant, resilient, and secure. -
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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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CrowdStrike Falcon AIDR
CrowdStrike
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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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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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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TrendAI Vision One
Trend Micro
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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Cisco AI Defense
Cisco
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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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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iDox.ai Guardrail
iDox.ai
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 enforcementStarting Price: $9/device/month -
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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.Starting Price: Free -
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CyCraft XecGuard
CyCraft
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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Mondoo
Mondoo
Mondoo is a unified security and compliance platform designed to drastically reduce business-critical vulnerabilities by combining full-stack asset visibility, risk prioritization, and agentic remediation. It builds a complete inventory of every asset, cloud, on-premises, SaaS, endpoints, network devices, and developer pipelines, and continuously assesses configurations, exposures, and interdependencies. It then applies business context (such as asset criticality, exploitability, and policy deviation) to score and highlight the most urgent risks. Users can choose guided remediation (pre-tested code snippets and playbooks) or autonomous remediation via orchestration pipelines, with tracking, ticket creation, and verification built in. Mondoo supports ingestion of third-party findings, integrates with DevSecOps toolchains (CI/CD, IaC, container registries), and includes 300 + compliance frameworks and benchmark templates. -
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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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LLM Guard
LLM Guard
By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, LLM Guard ensures that your interactions with LLMs remain safe and secure. LLM Guard is designed for easy integration and deployment in production environments. While it's ready to use out-of-the-box, please be informed that we're constantly improving and updating the repository. Base functionality requires a limited number of libraries, as you explore more advanced features, necessary libraries will be automatically installed. We are committed to a transparent development process and highly appreciate any contributions. Whether you are helping us fix bugs, propose new features, improve our documentation, or spread the word, we would love to have you as part of our community.Starting Price: Free -
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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. -
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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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NoPromptInjections
NoPromptInjections
AI apps are all the rage these days, but with them comes a new security danger: prompt injections. Similarly to code injections, they allow nefarious alteration of an app's function. The NoPromptInjection API allows developers to easily protect their apps. -
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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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Prisma AIRS
Palo Alto Networks
Prisma AIRS AI Runtime Security is a purpose-built solution designed to protect LLM-powered applications, agents, models, and data during live operation, delivering real-time visibility, assurance, and governance across the entire AI lifecycle. It monitors AI behavior continuously, enforcing safeguards that detect and block threats traditional security tools cannot see, such as prompt injection, malicious code, toxic outputs, data leakage, and unsafe or unauthorized actions. It enables organizations to discover all AI assets in use, including shadow AI, and understand how agents, apps, and models interact across environments. It continuously assesses risk by testing AI systems, controlling permissions, and tracking security posture in real time, while integrating controls that prevent manipulation and exposure during runtime interactions. With adaptive protection, it defends against evolving and zero-day threats, using real-time analysis of inputs, outputs, and execution. -
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NodeZero by Horizon3.ai
Horizon3.ai
Horizon3.ai® can assess the attack surface of your hybrid cloud, helping you continuously find and fix your internal and external attack vectors before criminals exploit them. NodeZero is an unauthenticated, run-once container you deploy yourself. No persistent agents and no provisioned credentials, up and running in minutes. With NodeZero, you own your pen test from start to finish. You configure the scope and attack parameters. NodeZero conducts benign exploitation, gathers proof, and delivers a complete report, so you can focus on real risk and maximize your remediation efforts. Run NodeZero continuously and evaluate your security posture over time. Proactively identify and remediate attack vectors as they appear. NodeZero discovers and fingerprints your internal and external attack surface, identifying the ways exploitable vulnerabilities, misconfigurations, harvested credentials, and dangerous product defaults. -
42
ConnectSecure
ConnectSecure
ConnectSecure is an all-in-one SaaS vulnerability and compliance management platform built for managed-service providers to secure client environments, manage risk, and scale security services profitably. It performs continuous vulnerability assessments and asset discovery across networks, servers, endpoints, cloud services, web apps, and external infrastructure; it includes both agent-based or “probe/lightweight” scanning and external attack-surface scanning. It identifies open ports, misconfigurations, out-of-date software, exposed systems, cloud-environment risks, and web-application vulnerabilities, surfacing over 230,000 known CVEs, daily updated from public vulnerability databases. ConnectSecure also automates patching for many applications, offers compliance-management tools aligned with major frameworks (e.g., GDPR, HIPAA, PCI DSS, CIS, NIST, ISO), and delivers continuous monitoring of cloud, on-premises, and hybrid environments. -
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ManageEngine Vulnerability Manager Plus
ManageEngine
Enterprise vulnerability management software. Vulnerability Manager Plus is an integrated threat and vulnerability management software that delivers comprehensive vulnerability scanning, assessment, and remediation across all endpoints in your network from a centralized console. Scan and discover exposed areas of all your local and remote office endpoints as well as roaming devices. Leverage attacker-based analytics, and prioritize areas that are more likely to be exploited by an attacker. Mitigate the exploitation of security loopholes that exist in your network and prevent further loopholes from developing. Assess and prioritize vulnerabilities based on exploitability, severity, age, affected system count, as well as the availability of the fix. Download, test, and deploy patches automatically to Windows, Mac, Linux, and over 250 third-party applications with an integral patching module—at no additional cost.Starting Price: $695 per user per year -
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FireTail
FireTail
FireTail is an end-to-end AI security and governance platform designed to give organizations complete visibility, control, and protection over how artificial intelligence is used across their environments. It continuously discovers AI usage across code, cloud infrastructure, APIs, SaaS tools, and browsers, building a real-time inventory of both approved and shadow AI systems to ensure nothing operates outside governance. It captures and analyzes every AI interaction, including prompts, responses, metadata, and user identity, providing deep contextual visibility into how AI models are accessed and how data flows through them. FireTail enables organizations to enforce flexible, context-aware policies through a centralized governance engine, using prebuilt frameworks such as OWASP or custom rules to maintain compliance without slowing innovation. It continuously monitors activity to detect risks like prompt injection, data leakage, model misuse, and anomalous behavior. -
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Tenable One AI Exposure
Tenable
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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Akto
Akto
Akto is an open source API security in CI/CD platform. Key features of Akto include: 1. API Discovery 2. API Security Testing 3. Sensitive Data Exposure 4. API Security Posture Management 5. Authentication and Authorization 6. API Security in DevSecOps Akto helps developers and security teams secure APIs in their CI/CD by continuously discovering and testing APIs for vulnerabilities. Akto's pricing is transparent on website. Free tier is available. You can deploy both self-hosted and in cloud. It takes only few mins to deploy and see results. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc. -
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LangWatch
LangWatch
Guardrails are crucial in AI maintenance, LangWatch safeguards you and your business from exposing sensitive data, prompt injection and keeps your AI from going off the rails, avoiding unforeseen damage to your brand. Understanding the behaviour of both AI and users can be challenging for businesses with integrated AI. Ensure accurate and appropriate responses by constantly maintaining quality through oversight. LangWatch’s safety checks and guardrails prevent common AI issues including jailbreaking, exposing sensitive data, and off-topic conversations. Track conversion rates, output quality, user feedback and knowledge base gaps with real-time metrics — gain constant insights for continuous improvement. Powerful data evaluation allows you to evaluate new models and prompts, develop datasets for testing and run experimental simulations on tailored builds.Starting Price: €99 per month -
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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.Starting Price: $32 per month -
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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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Rebuff AI
Rebuff AI
Store embeddings of previous attacks in a vector database to recognize and prevent similar attacks in the future. Use a dedicated LLM to analyze incoming prompts and identify potential attacks. Add canary tokens to prompts to detect leakages, allowing the framework to store embeddings about the incoming prompt in the vector database and prevent future attacks. Filter out potentially malicious input before it reaches the LLM.