Alternatives to NoPromptInjections

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

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    Pickaxe

    Pickaxe

    Pickaxe

    No-code, in minutes—inject AI prompts into your own website, your data, your workflow. We support the latest generative models and are always adding more. Use GPT4, ChatGPT, GPT3, DALL-E 2, Stable Diffusion, and more! Train AI to use your PDF, website, or document as context for its responses. Customize Pickaxes and embed them on your website, bring them into Google sheets, or access through our API
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    Prompt Blaze

    Prompt Blaze

    Prompt Blaze

    Text-based prompts are stored in the extension and saved in your own browser's storage. No one else can see them, not even us. Categorize prompts for quick access with our drag-and-drop interface. Store prompts for later use when injecting context from any webpage. Export prompts easily to prevent data loss and maintain long-term access. Your data stays local, ensuring private ownership and control. Create powerful AI workflows by linking multiple prompts in sequence, allowing for complex tasks to be completed with minimal manual intervention. Easily connect prompts to create sophisticated AI processes. Pass data seamlessly between steps in your chain using placeholders. Run entire prompt chain sequences or individual steps as needed. Leverage special placeholders for popular sites like Amazon and YouTube. Designed for efficiency and personalized customization our quick reply menu offers unparalleled user customization.
    Starting Price: $49 one-time payment
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    ZeroLeaks

    ZeroLeaks

    ZeroLeaks

    ZeroLeaks is an AI prompt security platform that helps organizations identify and fix exposed system prompts, internal tools, and logic vulnerabilities that could allow prompt injection, prompt extraction, or other forms of leakage that expose internal instructions or intellectual property to unauthorized actors. It provides an interactive dashboard where users can scan system prompts manually or automate scanning via CI/CD integration to catch leaks and injection vectors before code is deployed, and it uses an AI-powered red-team-style analysis engine to assess prompt surfaces for logic flaws, extraction risks, and potential misuse with evidence, scoring, and remediation recommendations. ZeroLeaks targets enterprise-grade security for large-language-model-based products by offering vulnerability assessments that highlight prompt exposure depth, prioritized risks, proof, and access paths for issues found, and suggested fixes such as prompt restructuring, tool gating, etc.
    Starting Price: $499 per month
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    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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    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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    MCP Defender

    MCP Defender

    MCP Defender

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

    Wapiti

    Wapiti

    Wapiti is a web application vulnerability scanner. Wapiti allows you to audit the security of your websites or web applications. It performs "black-box" scans (it does not study the source code) of the web application by crawling the webpages of the deployed web app, looking for scripts and forms where it can inject data. Once it gets the list of URLs, forms, and their inputs, Wapiti acts like a fuzzer, injecting payloads to see if a script is vulnerable. Search for potentially dangerous files on the server. Wapiti supports both GET and POST HTTP methods for attacks. It also supports multipart forms and can inject payloads in filenames (upload). Warnings are raised when an anomaly is found (for example 500 errors and timeouts). Wapiti is able to make the difference between permanent and reflected XSS vulnerabilities. Generates vulnerability reports in various formats (HTML, XML, JSON, TXT, CSV).
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    Constellation Gate AI

    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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    Lakera

    Lakera

    Lakera

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

    Zenity

    Zenity

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

    Agensi

    Agensi

    Agensi is a curated marketplace for AI agent skills. Every skill is security-scanned, works across 20+ agents (Claude Code, Codex CLI, Cursor, Gemini CLI, Copilot, and more), and comes from an accountable creator. Skills are one-time purchases. Buy once, own forever. No subscriptions, no license keys. All skills use the open SKILL.md standard, so one purchase works across every compatible agent. Every submission goes through an 8-point automated security scan covering prompt injection, data exfiltration, dangerous commands, secret detection, and obfuscated code. Creators keep 80% of each sale with instant Stripe payouts. Downloads are buyer-fingerprinted for IP protection. Agensi also offers a MCP subscription ($9/month or $90/year) that gives AI agents live access to the full catalog. Your agent connects to Agensi via MCP, searches available skills, and loads the right one mid-conversation. No downloads, no file management. New skills are available the moment they go live.
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    Simaril

    Simaril

    Simaril

    Silmaril is a self-healing prompt injection defense designed to protect AI systems from increasingly complex, multi-step attacks that traditional guardrails fail to stop. It operates by wrapping inference calls and evaluating whether an execution sequence is leading toward a harmful outcome, rather than simply filtering inputs. It uses a multihead classifier that analyzes user intent, application context, and execution states together, enabling it to detect indirect injection, multi-turn attack chains, context poisoning, and tool abuse before damage occurs. Silmaril continuously strengthens its defenses through autonomous threat hunting agents that probe systems, discover vulnerabilities, and generate synthetic training data from real attack scenarios. These insights are used to retrain the model automatically, deploying updated protections in under an hour and propagating anonymized defenses across all deployments.
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    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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    IDLive Face Plus
    IDLive Face Plus complements IDLive Face presentation attack detection with injection attack detection, providing comprehensive protection from deepfakes and other types of fraudulent digital imagery. Detect injection attacks that use virtual and external cameras. Prevent browser JavaScript code modifications on both desktops and mobile devices. Prevent man-in-the-middle replay attacks. Protect from emulators, cloning apps, and other software used for fraud. Improve presentation attack detection performance. Facial recognition security relies on presentation attack detection (PAD) to ensure that a biometric selfie is not actually a fraudster presenting a non-live facial image to the camera, such as a printed copy, screen replay, or 3D mask. IDLive Face Plus combines award-winning presentation attack detection with a unique approach to injection attack detection to prevent deepfakes and other fraudulent digital content.
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    NeuralMould
    NeuralMould is Emmi AI’s Large Engineering Model for injection molding, described as a new gold standard in AI for engineering: any geometry, any material, any injection gates, one model. It lets users select from a range of geometries and test injection, material, and gate placement parameters to simulate filling behavior in seconds, rapidly compare multiple scenarios, optimize process KPIs, and avoid frozen flow fronts. Injection molding simulation is highly complex because it involves multi-physics calculations that model transient flow of viscous plastic through thin-walled geometries under extreme temperature and pressure conditions. NeuralMould captures these phenomena across a wide range of injecting conditions and mold geometries, achieving performance comparable to traditional solvers with a fraction of the computation time. The model supports multi-material scenarios, fast prototyping, multi-gate configurations, and multiple process parameters.
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    InstaVM

    InstaVM

    InstaVM

    InstaVM is a production sandbox and cloud built for AI agents, giving agents instant computers with runtime, storage, networking, secrets, and policy. It goes beyond basic sandboxes by running untrusted code inside hardware-isolated real VMs rather than containers, helping teams give AI agents secure execution environments with full Linux filesystems, networking, package management, RESTful API access, and persistent state. InstaVM supports snapshots, allowing users to fork any sandbox and rewind any run, while persistent volumes keep state beyond each execution. Egress control lets teams allowlist what calls home, secrets injection and Vault help protect sensitive credentials from prompt injections, and public URL deploys can expose any port to the public web. It is built for agent patterns such as code interpreters, deploy agents, deep research agents, AI evaluations, reinforcement learning, computer use, and vibe coding apps.
    Starting Price: $100 per month
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    FuzzDB

    FuzzDB

    FuzzDB

    FuzzDB was created to increase the likelihood of finding application security vulnerabilities through dynamic application security testing. It's the first and most comprehensive open dictionary of fault injection patterns, predictable resource locations, and regex for matching server responses. FuzzDB contains comprehensive lists of attack payload primitives for fault injection testing. These patterns, categorized by the attack and where appropriate platform type, are known to cause issues like OS command injection, directory listings, directory traversals, source exposure, file upload bypass, authentication bypass, XSS, HTTP header crlf injections, SQL injection, NoSQL injection, and more. For example, FuzzDB catalogs 56 patterns that can potentially be interpreted as a null byte and contains lists of commonly used methods and name-value pairs that trigger debug modes.
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    SpecFlow

    SpecFlow

    SpecFlow

    SpecFlow makes test automation easier by turning it into a team effort and allowing every role to better use their skills. Don’t waste your time searching for the correct definition across your binding classes, just right-click and jump to the relevant code. Hooks (event bindings) can be used to perform additional automation logic at specific times, such as any setup required prior to executing a scenario. SpecFlow supports a dependency injection framework that is able to instantiate and inject context for scenarios. This allows you to group the shared state in context classes, and inject them into every binding class that needs access to that shared state.
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    Injective

    Injective

    Injective Labs

    Create any financial market on Injective’s fast, cross-chain, low fee, secure, and fully decentralized exchange protocol. Injective revamps the traditional DEX model to create a protocol that is easy to use for both novice and advanced traders alike. Execute sophisticated trades in seconds with instant transaction finality. Trade as much as you want without any gas fees. Injective is able to avoid both network congestion and the associated high gas fees. You have the power to create any crypto or synthetic market of your choice on Injective. You can transact any asset of your choice without any friction across sovereign blockchain networks. Injective offers everyone the same familiar trading experience as centralized exchanges while remaining entirely decentralized. All transactions are secured by Tendermint-based proof-of-stake consensus and achieve instant finality.
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    SecVibe

    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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    TrendAI Vision One
    TrendAI Vision One™ is an enterprise cybersecurity platform developed by Trend Micro to secure organizations in the AI era. It provides comprehensive visibility across an organization’s entire digital environment, helping eliminate security blind spots. The platform uses AI-driven analytics to prioritize risks based on business impact and urgency. It enables real-time threat detection, response, and mitigation to protect against evolving cyber threats. TrendAI Vision One™ integrates multiple security functions, including endpoint, cloud, network, and data protection, into a unified platform. It also supports secure AI adoption by safeguarding AI applications and systems from risks like data leakage and prompt injection. Overall, the platform transforms security from reactive defense into proactive risk management for modern enterprises.
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    White Circle

    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.
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    MockK

    MockK

    MockK

    Mocking is a technique to make testing code readable and maintainable. In three consequent articles, I would like to show the basics, features, and quirks of the MockK library. It is a new open-source library (github repository) focused on making mocking in Kotlin great. Injection first tries to match properties by name, then by class or superclass. Check the lookupType parameter for customization. Properties are injected even if private is applied. Constructors for injection are selected from the biggest number of arguments to lowest.
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    WebReaver

    WebReaver

    Websecurify

    WebReaver is an elegant, easy to use and fully-automated, web application security security testing tool for Mac, Windows and Linux, suitable for novice as well as advanced users. WebReaver allows you easily test any web application for a large variety of web vulnerabilities from the sever kinds such as SQL Injection, local and remote file Includes, command Injection, cross-site scripting and expression Injection to the less severe ones such as variety of session and headers problems, information leakage and many more. Automated security testing technologies, such as those, which rely on scanning, fuzzing, sending arbitrary malicious data to detect security defects, can seriously damage the web applications they are used against. Therefore, it is often recommended to perform automated tests only against systems in demo, testing or pre-production environments.
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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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    Vega

    Vega

    Subgraph

    Vega can help you find and validate SQL Injection, cross-site scripting, inadvertently disclosed sensitive information, and other vulnerabilities. It is written in Java, GUI based, and runs on Linux, OS X, and Windows. Vega can help you find vulnerabilities such as: reflected cross-site scripting, stored cross-site scripting, blind SQL injection, remote file include, shell injection, and others. Vega also probes for TLS / SSL security settings and identifies opportunities for improving the security of your TLS servers. Vega includes an automated scanner for quick tests and an intercepting proxy for tactical inspection. The Vega scanner finds, SQL injection, and other vulnerabilities. Vega includes a website crawler powering its automated scanner. Vega can automatically log into websites when supplied with user credentials.
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    Koin

    Koin

    Kotzilla

    Koin simplifies DI and empowers developers in the Kotlin landscape. Koin helps you build any kind of Kotlin & Kotlin multiplatform application, from Android mobile to backend Ktor server applications. Koin is built for the most demanding apps and is trusted by developers worldwide. Koin is an open source dependency injection framework tailored for Kotlin developers. With its intuitive DSL and lightweight container, Koin simplifies dependency injection for any Kotlin application and SDK. Koin framework lets you build your dependency injection in a breeze, with simple API and Kotlin DSL. Koin can help you create complex Android mobile applications, so you can focus on your business, not your tools. Koin connects on top of the Kotlin ecosystem. Using the power of Kotlin, Koin provides easy dependency injection across multiple platforms. Already used by thousands of companies in the world, Koin is ready to scale in production.
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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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    Operant

    Operant

    Operant AI

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

    Bekchy

    Bekchy

    Provides protection of websites, works in front of web application servers, creates firewalls and blocks incoming attacks. Protect Your Website. 7/24 provides protection against SQL Injection, XSS, File Upload, JS Injection, Tamper Data and many other attack methods. Instant Reporting and Easy Management. You can access BEKCHY Panel smoothly from your computer, tablet and smartphone and you can check your website’s current situation. Protects all `input` fields (login, password forgotten, coupon code etc.) you want to protect through Smart Brute Force. Protect against single-use emails, blacklisted IPs, fake redirects, and all fraud methods. Through 67 different antivirus software(readymade codes, JavaScripts, etc.) Bekchy detects bad codes injected into your website. Protection againist any kind of penetration intended to deceive your website’s visitors and search engine bots. You can access BEKCHY Panel smoothly from your computer, tablet and smartphone.
    Starting Price: $9.99 per month
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    Huawei Database Security Service (DBSS)
    Database Security Service (DBSS) uses machine learning and big data technologies to protect your databases on the cloud, intelligently auditing them and detecting risky behaviors like SQL injection. Purchase and get started with DBSS quickly without the need to manually install the service or adapt your database configurations. DBSS complies with the HIPAA, SOX, and PCI DSS, meeting your auditing requirements. Take advantage of algorithm models to detect SQL injection and abnormal behaviors, fast and accurate. DBSS works in bypass mode, having zero impact on your business. A wide range of policies are available to help you detect SQL injection and audit database behaviors. Monitor databases and detect anomalies in performance, data, and user actions. Audit reports are customized for different scenarios (pre-event and post-event) and roles (common users and administrators). Perform comprehensive database audit to comply with laws and regulation.
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    LeadMagnetCreator

    LeadMagnetCreator

    LeadMagnetCreator

    The new way to attract qualified leads. Grow your business with simple interactive AI-powered apps that help your audience solve problems. Our vision is to help businesses to grow by utilizing simple generative AI-apps. Provide free instant value to your visitors without investing in development resources. nergize your website with our AI lead forms, injecting excitement and engagement into every landing page. Build your inbound lead generation machine: 1. Collect Leads using your Magnets 2. Create a Personalized Outreach 3. Integrate with your preferred CRM Start for free with our unlimited free tier.
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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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    LangWatch

    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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    Oracle AI Agent Platform
    Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.
    Starting Price: $0.003 per 10,000 transactions
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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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    Hamster

    Hamster

    Hamster

    Hamster is an AI-first workspace designed to help developers and teams plan, structure, and execute projects by providing persistent context to AI coding agents across tools and workflows. It allows users to define a clear plan, brief, and context that can be injected into multiple AI development tools such as Claude, Codex, Gemini, Copilot, and others, ensuring that every agent operates with the same understanding of the project. Instead of relying on isolated prompts, Hamster centralizes instructions and project knowledge so agents can generate more accurate, consistent, and goal-aligned outputs throughout the development process. It works as a coordination layer for AI-driven building, enabling users to move their plans seamlessly between tools while maintaining continuity and reducing context loss. By supporting a wide range of AI coding environments, Hamster acts as a universal interface that connects different models and systems into a cohesive workflow.
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    Wardstone

    Wardstone

    JRL Software LTD

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

    Multilith

    Multilith

    Multilith gives AI coding tools a persistent memory so they understand your entire codebase, architecture decisions, and team conventions from the very first prompt. With a single configuration line, Multilith injects organizational context into every AI interaction using the Model Context Protocol. This eliminates repetitive explanations and ensures AI suggestions align with your actual stack, patterns, and constraints. Architectural decisions, historical refactors, and documented tradeoffs become permanent guardrails rather than forgotten notes. Multilith helps teams onboard faster, reduce mistakes, and maintain consistent code quality across contributors. It works seamlessly with popular AI coding tools while keeping your data secure and fully under your control.
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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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    LLM Guard

    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.
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    Superagent

    Superagent

    Superagent

    Superagent is an open source AI safety and agent development platform that helps developers and organizations build, deploy, and protect AI-driven applications and assistants by embedding safety guardrails, runtime security, and compliance controls into agent workflows. It provides purpose-trained models and APIs (such as Guard, Verify, and Redact) that block prompt injections, malicious tool calls, data leakage, and unsafe outputs in real time, while red-teaming tests probe production systems for vulnerabilities and deliver findings with remediation guidance. Superagent integrates with existing AI systems at inference and tool-call layers to filter inputs/outputs, remove sensitive data like PII/PHI, enforce policy constraints, and stop unauthorized actions before they occur, offering unified observability, live trace logs, policy controls, and audit trails for security and engineering teams.
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    LiveWorld

    LiveWorld

    LiveWorld

    Boost brand engagement in social media by tapping into loyal customers with authentic voices. Increase campaign performance and boost engagement with interactive content, eye-catching images and peer-to-peer conversations. Inject contextually relevant emotional arguments articulating the voices or rare diseases to HCP specialists with social media. Increase campaign performance and boost engagement with interactive content, eye-catching images and peer-to-peer conversations. Inject contextually relevant emotional arguments articulating the voices or rare diseases to HCP specialists with social media.
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    ZenGuard AI

    ZenGuard AI

    ZenGuard AI

    ZenGuard AI is a security platform designed to protect AI-driven customer experience agents from potential threats, ensuring they operate safely and effectively. Developed by experts from leading tech companies like Google, Meta, and Amazon, ZenGuard provides low-latency security guardrails that mitigate risks associated with large language model-based AI agents. Safeguards AI agents against prompt injection attacks by detecting and neutralizing manipulation attempts, ensuring secure LLM operation. Identifies and manages sensitive information to prevent data leaks and ensure compliance with privacy regulations. Enforces content policies by restricting AI agents from discussing prohibited subjects, maintaining brand integrity and user safety. The platform also provides a user-friendly interface for policy configuration, enabling real-time updates to security settings.
    Starting Price: $20 per month
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    Prisma AIRS

    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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    Jozu

    Jozu

    Jozu

    Jozu is an AI supply chain security platform that verifies artifacts before execution, governs agent activity at runtime, and preserves proof of what happened afterward. Jozu Hub provides a self-hosted registry for models, agents, MCP servers, and skills, centralizing each artifact with cryptographic signatures, attestations, scanning, policy controls, and audit records. Its AI-specific security analysis covers threats such as executable code hidden in model packages, backdoored weights, data poisoning, prompt injection, compromised tools, and license violations. Policies can be authored once, distributed as signed OCI artifacts, and enforced when artifacts are pulled, promoted, admitted, or executed. Jozu Agent Guard runs alongside workloads on servers, desktops, edge devices, and air-gapped systems, applying local prompt and input-output filtering, tool-access controls, approval requirements, and runtime policy enforcement.
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    API Fuzzer

    API Fuzzer

    Fuzzapi

    API Fuzzer allows to fuzz-request attributes using common pentesting techniques and lists vulnerabilities. API Fuzzer gem accepts an API request as input and returns vulnerabilities possible in the API. Cross-site scripting vulnerability, SQL injection, blind SQL injection, XML external entity vulnerability, IDOR, API rate limiting, open redirect vulnerabilities, information disclosure flaws, info leakage through headers, and cross-site request forgery vulnerability.
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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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    Rafter

    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.
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    Claude Opus 4.5
    Claude Opus 4.5 is Anthropic’s newest flagship model, delivering major improvements in reasoning, coding, agentic workflows, and real-world problem solving. It outperforms previous models and leading competitors on benchmarks such as SWE-bench, multilingual coding tests, and advanced agent evaluations. Opus 4.5 also introduces stronger safety features, including significantly higher resistance to prompt injection and improved alignment across sensitive tasks. Developers gain new controls through the Claude API—like effort parameters, context compaction, and advanced tool use—allowing for more efficient, longer-running agentic workflows. Product updates across Claude, Claude Code, the Chrome extension, and Excel integrations expand how users interact with the model for software engineering, research, and everyday productivity. Overall, Claude Opus 4.5 marks a substantial step forward in capability, reliability, and usability for developers, enterprises, and end users.