Alternatives to ZeroLeaks

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 deep program analysis to deliver intelligent security testing that finds real vulnerabilities while dramatically reducing false positives. Unlike traditional SAST tools that rely on pattern matching, ZeroPath understands code context, business logic, and developer intent. This enables identification of sophisticated security issues including business logic flaws, broken authentication, authorization bypasses, and complex dependency vulnerabilities. Our comprehensive security suite covers the application security lifecycle: 1. AI-powered SAST 2. Software Composition Analysis with reachability analysis 3. Secrets detection and validation 4. Infrastructure as Code scanning 5. Automated PR reviews 6. Automated patch generation and more... ZeroPath integrates seamlessly with GitHub, GitLab, Bitbucket, Azure DevOps and many more. The platform handles codebases with millions of lines across Python, JavaScript, TypeScript, Java, Go, Ruby, Rust, PHP, Kotlin and more. Our research team has been successful in finding vulnerabilities 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.

Plurilock AI promptGuard is a patent-pending new security tool that protects companies from data leaks when their employees are using generative AI platforms such as ChatGPT. PromptGuard is different from other solutions that address the problem of generative AI data leakage. It doesn't block AI or individual AI prompts. PromptGuard uses a mature DLP to detect sensitive data and anonymize it prior to sending it to the AI platform. PromptGuard restores original references when the AI platform returns a response. This preserves the workflow of AI and the query flow, allowing users to use it productively, while keeping sensitive information out of the AI platform’s hands. PromptGuard provides a complete audit log of all queries and responses for each user. This allows companies to create an easy-to-understand record of what AI has sent and what AI has returned.

WebOrion Protector Plus is an advanced firewall powered by GPU technology, specifically designed to safeguard generative AI applications with essential mission-critical protection. It delivers real-time defenses against emerging threats, including prompt injection attacks, sensitive data leaks, and content hallucinations. Among its notable features are defenses against prompt injection, protection of intellectual property and personally identifiable information (PII) from unauthorized access, and content moderation to ensure that responses from large language models (LLMs) are both accurate and relevant. Additionally, it implements user input rate limiting to reduce the risk of security vulnerabilities and excessive resource consumption. Central to its robust capabilities is ShieldPrompt, an intricate defense mechanism that incorporates context evaluation through LLM analysis of user prompts, employs canary checks by integrating deceptive prompts to identify possible data breaches, and prevents jailbreak attempts by utilizing Byte Pair Encoding (BPE) tokenization combined with adaptive dropout techniques. This comprehensive approach not only fortifies security but also enhances the overall reliability and integrity of generative AI systems.

LangProtect serves as a cutting-edge security and governance platform specifically designed for AI, offering robust protection against issues such as prompt injections, jailbreaks, data leaks, and the generation of unsafe or non-compliant outputs in LLM and Generative AI applications. Tailored for production-grade GenAI environments, this platform implements real-time controls at the execution level of AI, meticulously examining prompts, model outputs, and function calls as they occur, enabling teams to intercept high-risk actions before they can affect end users or compromise sensitive information. By doing so, LangProtect ensures that potential threats are neutralized promptly, preserving the integrity of data and user interactions. Furthermore, LangProtect seamlessly integrates with existing LLM infrastructures through an API-first design that maintains low latency, accommodating various deployment models including cloud, hybrid, and on-premise solutions to meet the security and data residency requirements of enterprises. It is also equipped to safeguard contemporary architectures like RAG pipelines and agentic workflows, providing policy-driven enforcement, continuous monitoring, and governance that is ready for audits. This comprehensive approach ensures that organizations can confidently leverage AI technologies while minimizing risks associated with their deployment.

Even the most advanced AI systems carry concealed risks that can jeopardize operations. It is crucial to proactively recognize and mitigate these challenges to facilitate seamless AI integration and adherence to regulations. AI technologies can be susceptible to increasingly sophisticated forms of attack. By staying proactive, you can safeguard your models and applications against threats like data poisoning, prompt injection, and other novel vulnerabilities. Utilize state-of-the-art public AI solutions with assurance. Our services are designed to promote responsible practices and prevent data breaches, allowing you to concentrate on driving innovation without concern. The TROJAI security platform empowers organizations to meet standards such as the OWASP AI framework and comply with privacy laws by rigorously testing models before they go live and securing applications against risks such as sensitive information loss during operation. By prioritizing these measures, you can ensure a more resilient AI deployment strategy.

ZenGuard AI serves as a dedicated security platform aimed at safeguarding AI-powered customer service agents from various potential threats, thereby ensuring their safe and efficient operation. With contributions from specialists associated with top technology firms like Google, Meta, and Amazon, ZenGuard offers rapid security measures that address the risks linked to AI agents based on large language models. It effectively protects these AI systems against prompt injection attacks by identifying and neutralizing any attempts at manipulation, which is crucial for maintaining the integrity of LLM operations. The platform also focuses on detecting and managing sensitive data to avert data breaches while ensuring adherence to privacy laws. Furthermore, it enforces content regulations by preventing AI agents from engaging in discussions on restricted topics, which helps uphold brand reputation and user security. Additionally, ZenGuard features an intuitive interface for configuring policies, allowing for immediate adjustments to security measures as needed. This adaptability is essential in a constantly evolving digital landscape where threats to AI systems can emerge unexpectedly.

Lakera Guard enables organizations to develop Generative AI applications while mitigating concerns related to prompt injections, data breaches, harmful content, and various risks associated with language models. Backed by cutting-edge AI threat intelligence, Lakera’s expansive database houses tens of millions of attack data points and is augmented by over 100,000 new entries daily. With Lakera Guard, the security of your applications is in a state of constant enhancement. The solution integrates top-tier security intelligence into the core of your language model applications, allowing for the scalable development and deployment of secure AI systems. By monitoring tens of millions of attacks, Lakera Guard effectively identifies and shields you from undesirable actions and potential data losses stemming from prompt injections. Additionally, it provides continuous assessment, tracking, and reporting capabilities, ensuring that your AI systems are managed responsibly and remain secure throughout your organization’s operations. This comprehensive approach not only enhances security but also instills confidence in deploying advanced AI technologies.

Rafter is a security scanning platform designed with developers in mind, enabling the identification and resolution of vulnerabilities in GitHub repositories through a simple click or command. Its integration is smooth via a web-based dashboard, command-line interface, or REST API, allowing for the scanning of JavaScript, TypeScript, and Python code to uncover various issues such as exposed API keys, SQL injection vulnerabilities, XSS flaws, insecure dependencies, hardcoded credentials, and weaknesses in authentication. The results are organized into three clear categories: “Errors,” “Warnings,” and “Improvements,” each providing in-depth explanations, specific code locations, remediation guidance, and formatted prompts that can be easily utilized in AI coding tools. Users can access findings in both JSON and Markdown formats, automate scans as part of CI/CD pipelines, and seamlessly integrate scan results into their existing workflows. Rafter’s flexible approach accommodates no-code, low-code, and full-code environments, ensuring that developers can implement proactive security measures early in the software development process, making it not only effortless but also scalable as project requirements grow. This adaptability allows teams to maintain a robust security posture while focusing on delivering high-quality software efficiently.

Tailored content scanning solutions guarantee that any sensitive information or proprietary data embedded in a prompt remains secure within your organization. The output generated by language models is thoroughly examined for code across numerous programming languages, and any responses that include such code are blocked from entering your system. These scanners utilize diverse methods to detect and thwart prompts that may seek to bypass established guidelines and organizational protocols regarding language model usage. With in-house specialists overseeing the process, your teams can confidently utilize the insights offered by language models. Avoid allowing concerns about potential risks associated with large language models to impede your organization's pursuit of a competitive edge. Embracing these technologies can ultimately lead to enhanced productivity and innovation within your operations.

Operant AI offers comprehensive protection for all layers of contemporary applications, spanning from infrastructure to APIs. With a straightforward deployment that takes only minutes, Operant ensures complete security visibility and runtime controls, effectively thwarting a variety of both common and critical cyber threats such as data exfiltration, data poisoning, zero-day vulnerabilities, lateral movement, cryptomining, prompt injection, and beyond. This is achieved with no need for instrumentation, no drift, and minimal disruption for Development, Security, and Operations teams. Furthermore, Operant's in-line runtime safeguarding of all data in use during every interaction, from infrastructure to APIs, elevates the defense mechanisms for your cloud-native applications while requiring zero instrumentation, no alterations to application code, and no additional integrations, thus streamlining the security process significantly.

Large Language Models (LLMs) are trained on extensive datasets that could inadvertently contain your private information, leading to potential risks of exposure and misuse by unethical providers or malicious individuals. To counteract these threats, ZeroTrusted.ai has developed its LLM Firewall, which effectively safeguards against such vulnerabilities. Our advanced sanitization model is capable of identifying sensitive data types, including GDPR, PHI, PII, and PCI information. Additionally, it is continuously updated with compliance data from NIST to ensure that you meet regulatory requirements while automating the compliance process. Beyond this, our platform offers numerous other features such as prompt optimization, minimizing hallucinations, and preventing data injection through our unique LLM ensemble technique, enhancing the overall user experience. However, it's important to note that these advanced features are accessible exclusively through our business plan, ensuring that your organization receives the highest level of protection and functionality.

ZeroThreat.ai is an advanced automated penetration testing and vulnerability scanning platform built to secure modern web applications and APIs. Designed for developers, security teams, and enterprises, it simplifies vulnerability detection and remediation by combining speed, accuracy, and actionable insights. ZeroThreat.ai detects, prioritizes, and helps mitigate over 40,000+ vulnerabilities, including logic flaws, broken authentication, misconfigurations, insecure APIs, and data exposure issues. It offers comprehensive coverage of the OWASP Top 10 and CWE Top 25, ensuring that your applications remain protected against the most critical and frequently exploited threats. Powered by a precision-engineered scanning engine, ZeroThreat.ai delivers near-zero false positives, saving teams valuable time and enabling them to focus on what truly matters, fixing real issues. The platform generates AI-driven remediation reports that provide step-by-step fixes, risk explanations, and code-level recommendations, helping teams resolve security flaws up to 10x faster. With ZeroThreat.ai, organizations can continuously test their web apps and APIs across the entire SDLC, maintaining security without slowing down development. It integrates seamlessly with CI/CD pipelines and collaboration tools like Slack and Microsoft Teams, enabling instant alerts and real-time collaboration between developers and security teams. ZeroThreat.ai’s user-friendly interface, scalable architecture, and detailed analytics make it ideal for both startups and large enterprises. Automating complex penetration testing workflows empowers organizations to maintain continuous security, accelerate secure releases, and strengthen overall cyber resilience.

MCP Defender is an innovative open-source desktop application that serves as an AI firewall, specifically designed to oversee and safeguard communications related to the Model Context Protocol (MCP). By functioning as a secure proxy between AI applications and MCP servers, it meticulously analyzes all communications in real-time to detect potential threats. This application automatically scans and secures all MCP tool calls, leveraging advanced LLM capabilities to identify malicious activities effectively. Users have the flexibility to manage the signatures utilized during the scanning process, enabling tailored security measures that fit their specific needs. MCP Defender excels in recognizing and preventing a range of AI security threats, such as prompt injection, credential theft, arbitrary code execution, and remote command injection. It seamlessly integrates with numerous AI applications, including Cursor, Claude, Visual Studio Code, and Windsurf, with plans for expanded compatibility in the future. The application provides intelligent threat detection and promptly alerts users as soon as it detects any malicious actions perpetrated by AI applications, ensuring a robust defense against evolving threats. Ultimately, MCP Defender empowers users with enhanced security and peace of mind in their AI interactions.

Enterprise copilots and low-code/no-code platforms have revolutionized the process of developing robust business AI applications and bots, making it quicker and more accessible than ever. With the advent of generative AI, individuals from various technical backgrounds can now foster innovation, streamline repetitive tasks, and design efficient workflows with ease. Much like the public cloud, while these AI and low-code solutions safeguard the foundational infrastructure, they do not protect the resources or data that are built on top of it. As a multitude of applications, automations, and copilots are being developed, the risks associated with prompt injection, RAG poisoning, and data leaks significantly escalate. In contrast to traditional software development, the use of copilots and low-code platforms often overlooks the crucial phases of testing, security analysis, and performance evaluation. By empowering both professional and citizen developers, organizations can enable the creation of tailored solutions that adhere to security and compliance requirements. We invite you to discuss how your team can effectively harness the power of copilots and low-code development to drive your business forward. This collaboration could lead to innovative solutions that not only meet your needs but also enhance overall operational efficiency.

LLM Guard offers a suite of protective measures, including sanitization, harmful language detection, data leakage prevention, and defense against prompt injection attacks, ensuring that your engagements with LLMs are both safe and secure. It is engineered for straightforward integration and deployment within real-world environments. Though it is fully functional right from the start, we want to emphasize that our team is continuously enhancing and updating the repository. The essential features require only a minimal set of libraries, and as you delve into more sophisticated capabilities, any additional necessary libraries will be installed automatically. We value a transparent development approach and genuinely welcome any contributions to our project. Whether you're assisting in bug fixes, suggesting new features, refining documentation, or promoting our initiative, we invite you to become a part of our vibrant community and help us grow. Your involvement can make a significant difference in shaping the future of LLM Guard.

Artificial intelligence applications are currently very popular, yet they introduce a fresh security threat known as prompt injections. Much like code injections, these can maliciously modify the functionality of an application. To combat this issue, the NoPromptInjection API offers developers a straightforward way to safeguard their applications from such vulnerabilities. By implementing this API, developers can enhance the security of their AI tools and ensure a safer user experience.

Prompt Security allows businesses to leverage Generative AI while safeguarding against various risks that could affect their applications, workforce, and clientele. It meticulously evaluates every interaction involving Generative AI—ranging from AI applications utilized by staff to GenAI features integrated into customer-facing services—ensuring the protection of sensitive information, the prevention of harmful outputs, and defense against GenAI-related threats. Furthermore, Prompt Security equips enterprise leaders with comprehensive insights and governance capabilities regarding the AI tools in use throughout their organization, enhancing overall operational transparency and security. This proactive approach not only fosters innovation but also builds trust with customers by prioritizing their safety.

Guardrails play an essential role in the upkeep of AI systems, and LangWatch serves to protect both you and your organization from the risks of disclosing sensitive information, prompt injection, and potential AI misbehavior, thereby safeguarding your brand from unexpected harm. For businesses employing integrated AI, deciphering the interactions between AI and users can present significant challenges. To guarantee that responses remain accurate and suitable, it is vital to maintain consistent quality through diligent oversight. LangWatch's safety protocols and guardrails effectively mitigate prevalent AI challenges, such as jailbreaking, unauthorized data exposure, and irrelevant discussions. By leveraging real-time metrics, you can monitor conversion rates, assess output quality, gather user feedback, and identify gaps in your knowledge base, thus fostering ongoing enhancement. Additionally, the robust data analysis capabilities enable the evaluation of new models and prompts, the creation of specialized datasets for testing purposes, and the execution of experimental simulations tailored to your unique needs, ensuring that your AI system evolves in alignment with your business objectives. With these tools, businesses can confidently navigate the complexities of AI integration and optimize their operational effectiveness.

Tenable AI Exposure is a robust, agentless solution integrated into the Tenable One exposure management platform, designed to enhance visibility, context, and control over the utilization of generative AI tools such as ChatGPT Enterprise and Microsoft Copilot. This tool empowers organizations to track user engagement with AI technologies, providing insights into who is accessing them, the nature of the data involved, and the execution of workflows, while identifying and addressing potential risks like misconfigurations, insecure integrations, and the leakage of sensitive information, including personally identifiable information (PII), payment card information (PCI), and proprietary business data. Furthermore, it protects against threats like prompt injections, jailbreak attempts, and policy breaches by implementing security measures that do not interfere with daily operations. Compatible with leading AI platforms and ready for deployment in just minutes with zero downtime, Tenable AI Exposure facilitates the governance of AI use, making it an essential component of an organization's overall cyber risk management strategy, ultimately ensuring safer and more compliant AI operations. By integrating these security protocols, organizations can foster a culture of responsible AI usage while mitigating potential vulnerabilities.

Compile embeddings from past attacks in a vector database to identify and avert similar threats down the line. Employ a specialized model to scrutinize incoming prompts for potential attack patterns. Incorporate canary tokens within prompts to monitor for any data leaks, enabling the system to catalog embeddings for incoming prompts in the vector database and thwart future attacks. Additionally, preemptively screen for harmful inputs before they reach the model, ensuring a more secure analysis process. This multi-layered approach enhances the overall defense mechanism against potential security breaches.

Utilize Prompt Mixer to generate prompts and construct sequences while integrating them with datasets, enhancing the process through AI capabilities. Develop an extensive range of test scenarios that evaluate different combinations of prompts and models, identifying the most effective pairings for a variety of applications. By incorporating Prompt Mixer into your daily operations, whether for content creation or research and development, you can significantly streamline your workflow and increase overall productivity. This tool not only facilitates the efficient creation, evaluation, and deployment of content generation models for diverse uses such as writing blog posts and emails, but it also allows for secure data extraction or merging while providing easy monitoring after deployment. Through these features, Prompt Mixer becomes an invaluable asset in optimizing your project outcomes and ensuring high-quality deliverables.

Tumeryk Inc. focuses on cutting-edge security solutions for generative AI, providing tools such as the AI Trust Score that facilitates real-time monitoring, risk assessment, and regulatory compliance. Our innovative platform enables businesses to safeguard their AI systems, ensuring that deployments are not only reliable and trustworthy but also adhere to established policies. The AI Trust Score assesses the potential risks of utilizing generative AI technologies, which aids organizations in complying with important regulations like the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates the dependability of responses generated by AI, considering various risks such as bias, susceptibility to jailbreak exploits, irrelevance, harmful content, potential leaks of Personally Identifiable Information (PII), and instances of hallucination. Additionally, it can be seamlessly incorporated into existing business workflows, enabling companies to make informed decisions on whether to accept, flag, or reject AI-generated content, thereby helping to reduce the risks tied to such technologies. By implementing this score, organizations can foster a safer environment for AI deployment, ultimately enhancing public trust in automated systems.

Text prompts are conveniently saved in your browser's storage via the extension, ensuring that they remain private and inaccessible to anyone else, including us. Utilize our intuitive drag-and-drop feature to categorize prompts for swift retrieval, while also being able to store them for future reference when incorporating context from various webpages. You can easily export your prompts to safeguard against data loss, ensuring that you maintain long-term access to your information. With a focus on local storage, your data remains under your control and ownership. Build advanced AI workflows by chaining multiple prompts together, enabling you to accomplish intricate tasks with minimal manual effort. Effortlessly connect these prompts to develop intricate AI applications, allowing for smooth data transfer between each step using placeholders. You have the option to execute entire sequences of prompt chains or just specific steps as required. Additionally, you can utilize specialized placeholders for widely used platforms like Amazon and YouTube. Our quick reply menu, designed for optimal efficiency and tailored customization, offers users an unmatched level of personalization and control over their experience. By streamlining your interactions, this system allows you to maximize productivity while maintaining a unique and efficient workflow.

Optimize the management of source code context and generate effective prompts efficiently. Ship alongside ChatGPT and Claude, the 16x Prompt tool enables developers to oversee source code context and prompts for tackling intricate coding challenges within existing codebases. By inputting your personal API key, you gain access to APIs from OpenAI, Anthropic, Azure OpenAI, OpenRouter, and other third-party services compatible with the OpenAI API, such as Ollama and OxyAPI. Utilizing these APIs ensures that your code remains secure, preventing it from being exposed to the training datasets of OpenAI or Anthropic. You can also evaluate the code outputs from various LLM models, such as GPT-4o and Claude 3.5 Sonnet, side by side, to determine the most suitable option for your specific requirements. Additionally, you can create and store your most effective prompts as task instructions or custom guidelines to apply across diverse tech stacks like Next.js, Python, and SQL. Enhance your prompting strategy by experimenting with different optimization settings for optimal results. Furthermore, you can organize your source code context through designated workspaces, allowing for the efficient management of multiple repositories and projects, facilitating seamless transitions between them. This comprehensive approach not only streamlines development but also fosters a more collaborative coding environment.

Lunary serves as a platform for AI developers, facilitating the management, enhancement, and safeguarding of Large Language Model (LLM) chatbots. It encompasses a suite of features, including tracking conversations and feedback, analytics for costs and performance, debugging tools, and a prompt directory that supports version control and team collaboration. The platform is compatible with various LLMs and frameworks like OpenAI and LangChain and offers SDKs compatible with both Python and JavaScript. Additionally, Lunary incorporates guardrails designed to prevent malicious prompts and protect against sensitive data breaches. Users can deploy Lunary within their VPC using Kubernetes or Docker, enabling teams to evaluate LLM responses effectively. The platform allows for an understanding of the languages spoken by users, experimentation with different prompts and LLM models, and offers rapid search and filtering capabilities. Notifications are sent out when agents fail to meet performance expectations, ensuring timely interventions. With Lunary's core platform being fully open-source, users can choose to self-host or utilize cloud options, making it easy to get started in a matter of minutes. Overall, Lunary equips AI teams with the necessary tools to optimize their chatbot systems while maintaining high standards of security and performance.

Garak evaluates the potential failures of an LLM in undesirable ways, examining aspects such as hallucination, data leakage, prompt injection, misinformation, toxicity, jailbreaks, and various other vulnerabilities. This free tool is designed with an eagerness for development, continually seeking to enhance its functionalities for better application support. Operating as a command-line utility, Garak is compatible with both Linux and OSX systems; you can easily download it from PyPI and get started right away. The pip version of Garak receives regular updates, ensuring it remains current, while its specific dependencies recommend setting it up within its own Conda environment. To initiate a scan, Garak requires the model to be analyzed and, by default, will conduct all available probes on that model utilizing the suggested vulnerability detectors for each. During the scanning process, users will see a progress bar for every loaded probe, and upon completion, Garak will provide a detailed evaluation of each probe's findings across all detectors. This makes Garak not only a powerful tool for assessment but also a vital resource for researchers and developers aiming to enhance the safety and reliability of LLMs.

PromptPerformance® offers a flexible and efficient solution for managing performance, designed to adapt to the dynamic nature of performance management. This innovative system integrates seamlessly with PromptPayPlanner®, ensuring a cohesive experience. Prompt Inc. stands out in the industry for its commitment to security, employing advanced field-level encryption for database protection as well as secure encryption for data transmission across the internet or internal networks. At its core, the system is driven by logic, mathematics, workflow efficiency, and user-friendly design. Tailored reports can be generated to meet your specific needs, enhancing communication between employees and management. Additionally, it allows for the integration of performance reviews and goal-setting processes, making it a comprehensive tool for organizational success. With these features, your performance management efforts can be significantly streamlined and improved.

Cybercriminals are increasingly exploiting vulnerabilities within API logic. It is essential to understand how to secure APIs effectively to avert breaches and safeguard against data leaks. APIsec identifies critical weaknesses in API logic that hackers exploit to access confidential information. In contrast to conventional security measures that focus solely on prevalent issues like injection attacks and cross-site scripting, APIsec conducts comprehensive pressure tests on the entire API, ensuring that no endpoints are vulnerable to exploitation. By utilizing APIsec, you can be informed of potential vulnerabilities in your APIs prior to their deployment, preventing malicious actors from taking advantage of them. You can execute APIsec tests at any phase of the development cycle to uncover loopholes that might inadvertently allow unauthorized access to sensitive data and functionalities. Importantly, prioritizing security does not need to impede development; APIsec operates at the pace of DevOps, providing ongoing insights into your APIs' security status. With APIsec, you can complete tests in mere minutes, eliminating the need to wait for the next scheduled penetration test. This proactive approach not only enhances security but also streamlines the development process significantly.

Fasoo AI-R DLP (AI-Radar Data Loss Prevention) provides a proactive approach to safeguarding sensitive data from potential leaks when using generative AI services. The solution scans and monitors data input into tools like ChatGPT, identifying and blocking the transfer of confidential information. Through customizable policies, administrators can control what data is accessible, enforce restrictions on uploads, and track activities to ensure compliance. Fasoo AI-R DLP enables businesses to use generative AI safely, accelerating their AI adoption while mitigating the risks of data exposure.

PrompTessor is an innovative SaaS platform available online that revolutionizes the way AI prompts are crafted by leveraging a sophisticated analysis engine that provides in-depth insights, comprehensive metrics, and effective strategies for optimization. When users enter their prompts, they receive a detailed effectiveness score, typically ranging from 0 to 100, which illuminates their strengths and identifies areas that require enhancement across essential factors like clarity, specificity, context, goal orientation, structure, and constraints. The platform delivers meticulous feedback, showcasing performance metrics over time, enabling users to track their continuous improvement, and allowing for side-by-side evaluations of optimized prompt variations aimed at boosting AI performance. Its user-friendly interface supports both novices and seasoned professionals in the process of refining their prompts: interactive dashboards feature heatmaps that illustrate prompt components, while automated suggestions offer guidance on rephrasing, restructuring, or enriching context to elevate the quality of outputs. Furthermore, this comprehensive system not only enhances users' understanding of prompt dynamics but also fosters a collaborative environment where they can share insights and strategies with peers.

Access systems from any location using user identity, eliminating the need for traditional solutions like SSH bastion hosts or VPNs that require the distribution and management of credentials, network control configurations such as firewalls, and exposing private networks. Boundary offers a secure method to access critical systems and hosts without the hassle of managing credentials or compromising your network's security, and it is completely open source. You can authenticate using any trusted identity provider you currently utilize, which means there’s no need to distribute new credentials. Instead of relying on physical IP addresses, authorize access based on logical roles and services. Additionally, you can manage dynamic infrastructure and integrate service registries to ensure that hosts and service catalogs are always current. Automate the injection of credentials to securely access services and hosts via HashiCorp Vault, thereby minimizing the risk of credential leakage through dynamic secrets and just-in-time credentials. This innovative approach not only simplifies access management but also enhances overall security and efficiency in your network.

Uncover, monitor, and safeguard your vulnerable assets effectively. By supplying us with key details, like your company domain(s), we utilize 'NVADR' to unveil your perimeter attack landscape and keep an eye out for potential sensitive data breaches. A thorough evaluation of vulnerabilities is conducted on the identified assets, pinpointing security concerns that could have a real-world impact. We maintain constant vigilance over the web for any leakage of code or confidential information, promptly alerting you if any data pertaining to your organization is compromised. A comprehensive report featuring analytics, statistics, and visual representations of your organization's attack surface is generated. Leverage our Asset Discovery Platform, NVADR, to thoroughly identify your Internet-facing assets. Discover verified shadow IT hosts along with their in-depth profiles and efficiently manage your assets in a Centrally Managed Inventory, enhanced by auto-tagging and classification. Stay informed with notifications regarding newly identified assets and the potential attack vectors that may jeopardize them, ensuring you are always one step ahead in protecting your organization. This proactive approach empowers your team to respond swiftly to emerging threats.

API Fuzzer is a tool designed to perform fuzz-testing on attributes by employing prevalent penetration testing methods while identifying potential vulnerabilities. By taking an API request as its input, the API Fuzzer gem effectively outputs a list of possible vulnerabilities inherent in the API, which may include risks such as cross-site scripting, SQL injection, blind SQL injection, XML external entity vulnerabilities, insecure direct object references (IDOR), issues with API rate limiting, open redirect vulnerabilities, information disclosure flaws, information leakage through headers, and cross-site request forgery vulnerabilities. This comprehensive evaluation helps developers enhance the security of their APIs by pinpointing critical areas that require attention and remediation.

Asterisk is an innovative platform powered by AI that streamlines the process of identifying, verifying, and addressing security vulnerabilities in codebases, mimicking the expertise of a human security engineer. It shines in uncovering intricate business logic flaws via context-sensitive scanning and delivers thorough reports with an impressive rate of near-zero false positives. Its standout features encompass automated patch generation, constant real-time surveillance, and extensive compatibility with leading programming languages and frameworks. The Asterisk methodology includes indexing the codebase to develop precise mappings of call stacks and code graphs, which is essential for accurate vulnerability detection. The platform has proven its effectiveness by autonomously identifying vulnerabilities in various systems. Established by a group of experienced security researchers and competitive Capture The Flag (CTF) participants, Asterisk is dedicated to harnessing the power of AI to simplify code security audits and improve the process of vulnerability identification. As the digital landscape evolves, Asterisk continues to adapt, ensuring that software security remains a top priority for developers everywhere.

DoCoreAI is a platform focused on optimizing AI prompts and telemetry, catering to product teams, SaaS companies, and developers who engage with large language models (LLMs) such as those from OpenAI and Groq (Infra). Featuring a local-first Python client along with a secure telemetry engine, DoCoreAI allows teams to gather metrics on LLM usage while safeguarding original prompts to ensure data confidentiality. Highlighted Features: - Prompt Optimization → Enhance the effectiveness and dependability of LLM prompts. - LLM Usage Monitoring → Observe token usage, response times, and performance trends. - Cost Analytics → Evaluate and optimize expenses related to LLM usage across teams. - Developer Productivity Dashboards → Pinpoint time savings and identify usage bottlenecks. - AI Telemetry → Gather comprehensive insights while prioritizing user privacy. By utilizing DoCoreAI, organizations can reduce token expenses, elevate AI model performance, and provide developers with a centralized platform to analyze prompt behavior in production, ultimately fostering a more efficient workflow. This all-encompassing approach not only boosts productivity but also promotes informed decision-making based on actionable data insights.

IBM Verify Trust software offers comprehensive risk assessments for identity and access management (IAM) systems, ensuring minimal disruption. Leveraging the IBM Trusteer risk engine, Verify Trust safeguards against threats from malicious entities while effectively managing multifactor authentication (MFA) demands. By integrating seamlessly with your existing IAM framework, you can establish adaptive access protocols without the need for a complete overhaul. This approach fosters smooth digital interactions, which can help decrease user drop-off rates and enhance brand reputation. With improved confidence in risk detection mechanisms, the system minimizes false positives and unnecessary MFA challenges. By applying advanced AI and machine learning techniques, it assesses holistic risk contexts to strengthen authentication processes. Additionally, it adheres to zero trust principles, allowing secure access for users deemed low-risk. The software is also equipped to identify suspicious behavior, enabling quick responses to thwart unauthorized access attempts. Furthermore, it plays a crucial role in mitigating threats from malware and phishing schemes aimed at compromising user credentials. Lastly, it identifies inconsistencies based on various factors such as device integrity and network characteristics, ensuring a robust security posture overall.

ChainForge serves as an open-source visual programming platform aimed at enhancing prompt engineering and evaluating large language models. This tool allows users to rigorously examine the reliability of their prompts and text-generation models, moving beyond mere anecdotal assessments. Users can conduct simultaneous tests of various prompt concepts and their iterations across different LLMs to discover the most successful combinations. Additionally, it assesses the quality of responses generated across diverse prompts, models, and configurations to determine the best setup for particular applications. Evaluation metrics can be established, and results can be visualized across prompts, parameters, models, and configurations, promoting a data-driven approach to decision-making. The platform also enables the management of multiple conversations at once, allows for the templating of follow-up messages, and supports the inspection of outputs at each interaction to enhance communication strategies. ChainForge is compatible with a variety of model providers, such as OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and locally hosted models like Alpaca and Llama. Users have the flexibility to modify model settings and leverage visualization nodes for better insights and outcomes. Overall, ChainForge is a comprehensive tool tailored for both prompt engineering and LLM evaluation, encouraging innovation and efficiency in this field.

Prompt Refine empowers you to conduct more effective prompt experiments by allowing you to make minor adjustments that can produce significantly varied outcomes. With this tool, you can continuously run and refine prompts, and each execution is logged in your history, where you can review all relevant details from past attempts, complete with highlighted differences. Additionally, you can categorize your prompts into groups and share these collections with friends and colleagues. Once you've completed your testing phase, you have the option to export your prompt results into a CSV format for further examination. Furthermore, Prompt Refine enables the creation of generative prompts that assist users in crafting clear and targeted prompts, which enhances engagement with AI models. By utilizing Prompt Refine, you can elevate your interactions with prompts and fully harness the capabilities of AI, making your experience not only more productive but also more insightful. Don't miss the chance to transform the way you work with AI through this innovative tool.

Astra is an end-to-end API security and vulnerability management platform built for engineering and DevSecOps teams. It provides full visibility into your API ecosystem, automatically discovering undocumented or forgotten endpoints across complex cloud environments. Using a combination of DAST scanning, penetration testing, and continuous monitoring, Astra identifies over 10,000 vulnerabilities including broken access control, injection flaws, and sensitive data leaks. Its Authorization Matrix feature gives a granular view of user privileges to prevent privilege escalation and unauthorized access. The platform seamlessly integrates with major cloud and development tools like AWS Gateway, GCP Apigee, NGINX, Postman, and Burp Suite. Astra’s traffic connectors monitor real-time API activity to uncover risky endpoints such as Zombie or Shadow APIs. Developers can collaborate directly on remediation through built-in workflows, detailed reports, and Jira or Slack integration. Backed by world-class pentesters and trusted by top enterprises, Astra helps organizations safeguard APIs with precision and scalability.

The use of prompts has emerged as a potent method for programming AI models such as DALL·E, Midjourney, and GPT, yet discovering high-quality prompts online can be quite a challenge. For those skilled in prompt engineering, monetizing this expertise is often unclear. PromptBase addresses this gap by providing a marketplace that allows users to buy and sell effective prompts that yield superior results while minimizing API costs. Users can access top-notch prompts, enhance their output, and profit by selling their own creations. As an innovative marketplace tailored for DALL·E, Midjourney, Stable Diffusion, and GPT prompts, PromptBase offers a straightforward way for individuals to sell their prompts and earn from their creative talents. In just two minutes, you can upload your prompt, link to Stripe, and start selling. PromptBase also facilitates instant prompt engineering with Stable Diffusion, enabling users to craft and market their prompts efficiently. Additionally, users benefit from receiving five free generation credits every day, making it an enticing platform for budding prompt engineers. This unique opportunity not only cultivates creativity but also fosters a community of prompt enthusiasts eager to share and improve their skills.

Prompt Selected is an innovative browser extension that harnesses the power of AI, enabling users to apply personalized ChatGPT prompts to any highlighted text while necessitating their own OpenAI API key for operation (BYOK). It offers an extensive range of unlimited prompts, a variety of prebuilt examples, and compatibility with different GPT models, making tasks like grammar correction, translation, and text summarization effortless. The extension prioritizes user data security by employing local key storage and ensuring no tracking occurs. This combination of features allows users to tailor their AI interactions effectively, all within one versatile and customizable tool. Embrace the future of text manipulation and take charge of your AI functionalities with this remarkable extension.

The only AI Prompt Management Tool built for professionals and content producers. Gud Prompt’s prompt management tool streamlines AI workflows for professionals in various fields. Gud Prompt can help you create AI prompts that are well-written, whether you're a business leader or marketer, a freelancer or a content creator. You can access these prompts with our Chrome Extension. Once you have your prompts or collections of prompts you can share them with your team or wider audience. If you are a content creator, Gud Prompt allows you to share collections of AI prompts with your audience and collect both emails and important metrics on the performance/popularity of your specific prompts.

Introducing PromptPerfect, an innovative tool specifically crafted for enhancing prompts used with large language models (LLMs), large models (LMs), and LMOps. Crafting the ideal prompt can present challenges, yet it is essential for generating exceptional AI-driven content. Fortunately, PromptPerfect is here to assist you! This advanced tool simplifies the process of prompt engineering by automatically refining your prompts for various models, including ChatGPT, GPT-3.5, DALLE, and StableDiffusion. Regardless of whether you are a prompt engineer, a content creator, or a developer in the AI field, PromptPerfect ensures that prompt optimization is straightforward and user-friendly. Equipped with an easy-to-navigate interface and robust features, PromptPerfect empowers users to harness the complete capabilities of LLMs and LMs, consistently producing outstanding results. Embrace the shift from mediocre AI-generated content to the pinnacle of prompt optimization with PromptPerfect, and experience the difference in quality you can achieve!

Effective AI Prompt Management for Teams. Optimize your workflow using our secure tool for prompt management, guaranteeing that no ideal prompt is ever misplaced again. A unified prompt repository Effortlessly organize your prompts by titling, tagging, and summarizing them in a centralized location, which adds clarity and structure to your AI interactions. Explore and evaluate new prompts Within PromptPanda, you can seamlessly test and contrast new prompts, allowing you to analyze outcomes and swiftly improve your AI results. Foster continuity Maintain consistency by ensuring that you always work with the same high-quality prompts, thereby enhancing your team's productivity over time. By integrating these practices, teams can significantly enhance their overall efficiency and effectiveness when interacting with AI systems.

NeuralTrust is a leading platform to secure and scale LLM agents and applications. It is the fastest open-source AI Gateway in the market, providing zero-trust security for seamless tool connectivity and zero-trust security. Automated red teaming can detect vulnerabilities and hallucinations. Key Features - TrustGate : The fastest open source AI gateway, enabling enterprise to scale LLMs with zero-trust security and advanced traffic management. - TrustTest : A comprehensive adversarial testing framework that detects vulnerabilities and jailbreaks. It also ensures the security and reliability of LLM. - TrustLens : A real-time AI monitoring and observability tool that provides deep analytics and insights into LLM behaviors.