Alternatives to middleBrick

FortiWeb WAF protects web applications and APIs from the OWASP Top 10, zero-day threats, and other application-layer attacks. It also includes robust features such as API discovery and protection, bot mitigation, threat analytics, and advanced reporting.

Resurface is a runtime API security tool. Resurface continuous API scanning allows you to detect and respond in real time to API threats and risks. Resurface is a purpose-built tool for API data. It captures all request and response payloads, including GraphQL, to instantly see potential threats and failures. Receive alerts about data breaches for zero-day detection. Resurface is mapped to OWASP Top10 and alerts on threats with complete security patterns. Resurface is self-hosted and all data is first-party. Resurface is the only API security system that can be used to perform deep inspections at scale. Resurface detects active attacks and alerts them by processing millions of API calls. Machine learning models detect anomalies and identify low-and slow attack patterns.

The BugDazz API Security Scanner, developed by SecureLayer7, is an all-encompassing solution that automates the identification of vulnerabilities, misconfigurations, and security weaknesses within API endpoints, helping security teams safeguard their digital assets from the growing range of API-related threats and potential exploits. With its real-time scanning features, the tool can promptly identify vulnerabilities as they emerge, ensuring timely responses to security issues. It also supports comprehensive management of authentication and access controls, consolidating API control management into one user-friendly platform. By streamlining the report generation process for compliance standards like PCI DSS and HIPAA, BugDazz plays a crucial role in helping organizations achieve regulatory compliance efficiently. Furthermore, it integrates effortlessly into existing CI/CD pipelines, enhancing the speed of product deployments while maintaining security. In addition to addressing standard OWASP Top 10 vulnerabilities, this scanner offers extensive protection against a broader spectrum of critical API security risks. Overall, BugDazz ensures that organizations can stay ahead of evolving threats while maintaining robust security practices.

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.

Alice is an enterprise-grade AI security and trust platform designed to protect applications, agents, and foundation models from adversarial threats. Formerly known as ActiveFence, the company leverages its proprietary Rabbit Hole intelligence engine, built on billions of real-world toxic and abusive data samples, to deliver unmatched safety coverage. Alice protects more than 50% of global online experiences, monitoring over 1 billion daily AI-human interactions across 120+ languages. Its WonderSuite platform provides comprehensive safeguards, including pre-launch stress testing with WonderBuild, dynamic runtime guardrails through WonderFence, and continuous automated red-teaming via WonderCheck. These solutions help organizations defend against prompt injection, jailbreaks, model exploitation, and policy misalignment risks. By aligning defenses with regulatory and compliance requirements, Alice supports responsible AI governance and enterprise risk management. Trusted by leading tech companies and model labs, Alice empowers businesses to deploy GenAI systems securely and scale innovation without fear.

We are builders on a mission. We're obsessed with building products that make the world a more secure place. Over the course of our careers we've built countless enterprise products at both startups and companies like Splunk, Cisco, Symantec, and McAfee. In every case we had to write security features from scratch. Pangea offers the first Security Platform as a Service (SPaaS) which unifies the fragmented world of security into a simple set of APIs for developers to call directly into their apps.

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.

Prepare for and thwart sophisticated cyber attacks by adopting AppSecure’s proactive security strategy. Uncover significant vulnerabilities that can be exploited and ensure they are consistently addressed through our cutting-edge security solutions. Strengthen your defense mechanisms over time while revealing hidden weaknesses through the lens of a potential hacker. Assess how well your security team is equipped to handle relentless cyber threats targeting vulnerable points in your network. With our comprehensive approach, pinpoint and rectify critical security weaknesses by rigorously testing your APIs based on the OWASP framework, complemented by customized test cases designed to avert future issues. Our pentesting as a service provides ongoing, expert-driven security assessments that help identify and fix vulnerabilities, significantly bolstering your website’s defenses against ever-evolving cyber threats, thus enhancing its security, compliance, and overall reliability. In doing so, we ensure that your organization remains resilient in the face of emerging challenges.

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.

Achieve ongoing near real-time detection and identification of data in transit between third-party applications, equipped with remediation capabilities. Failing to consistently monitor third-party APIs may unwittingly give attackers an average of seven months to exploit vulnerabilities before you can identify and resolve an issue. Vorlon offers continuous surveillance of your third-party applications, detecting unusual activities in near real-time by processing your data every hour. Gain a clear understanding of the risks associated with the third-party apps utilized by your Enterprise, along with actionable insights and recommendations. You can confidently report progress to your stakeholders and board, ensuring transparency. Enhance visibility into your external applications and swiftly detect, investigate, and respond to unusual activities, data breaches, and security incidents as they occur. Additionally, assess the compliance of the third-party applications your Enterprise relies on with relevant regulations, providing stakeholders with solid proof of compliance. Maintaining effective security protocols is essential for safeguarding your organization against potential threats.

Backslash Security is the governance and visibility platform built for organizations where AI coding tools are already part of how software gets built. GitHub Copilot, Cursor, Windsurf, Claude Code, and Gemini CLI have fundamentally changed the development lifecycle — and the security controls most organizations rely on were not designed for this environment. Backslash provides a comprehensive AI coding tool inventory and policy enforcement across the full AI coding spectrum, giving security teams visibility into every active tool and the risk introduced before it reaches production. This includes vibe coding security — risk detection purpose-built for vulnerability patterns in AI-generated code that traditional scanners are not equipped to catch. As AI coding agents grow more capable, they increasingly operate with access to external services, internal data, and organizational infrastructure through MCP servers. Over-permissioned agents and misconfigured MCP connections create data leakage pathways — exposing sensitive organizational data to AI models without security team awareness or enforcement controls. These are active exposure points, not theoretical risks. Backslash addresses this directly. The platform maps every MCP server connection, identifies over-permissioned AI agent configurations, and enforces least-privilege access before data leakage occurs. Security teams gain full visibility into what AI agents can access and where permissions exceed what the task requires. For security leaders governing an environment that moved faster than their controls, Backslash is the missing layer — built from the ground up for AI-native development, not retrofitted from a previous generation of tooling.

Wardstone functions as a security API for language models, acting as a safeguard between applications and various language model providers by evaluating inputs and outputs for potential threats in four distinct categories during a single request: prompt attacks, content violations, data leaks, and suspicious links. It is adept at identifying jailbreaks, prompt injections, harmful content including hate speech, violence, and self-harm, as well as personally identifiable information like Social Security numbers, credit card details, email addresses, and phone numbers, in addition to detecting dubious URLs. Each response generated provides a detailed risk assessment for each category, achieving this within a swift response time of under 30 milliseconds. Compatible with any LLM provider, it is accessible via a REST API and offers SDKs for multiple programming languages, including TypeScript, Python, Go, Ruby, PHP, Java, and C#. A complimentary tier allows up to 10,000 calls per month without the need for a credit card, and it also features a web-based playground for users to experiment and test functionalities. Users can easily integrate this tool into their existing systems, enhancing the security of their language model interactions.

Elevate your sales, minimize risks, and enhance customer satisfaction through Curri's innovative software and services. Revolutionize the way you manage middle and final-mile deliveries for construction and industrial supplies. Unlock new revenue potential by capitalizing on the opportunities right at your doorstep. The era of losing clients to competitors is over, as our advanced technology platform boosts your on-time delivery metrics, lowers operational costs, and enhances your reputation. The frontline challenges in brick-and-mortar operations can be daunting, but with Curri's tools at your disposal, your business processes will be streamlined and efficient. Our extensive expertise in middle and final-mile logistics positions you for success, allowing you to elevate your operations significantly. With our nationwide carrier network, you'll be equipped to tackle demand fluctuations and any issues with your fleet effortlessly. From dedicated drivers to on-demand fleets, as well as rate-shopping and route optimization software, we offer comprehensive solutions to address all your logistics challenges and ensure your business thrives. By leveraging our technology, you'll not only improve efficiency but also enhance your service offerings to clients.

XBOW is an advanced offensive security platform driven by AI that autonomously identifies, confirms, and exploits vulnerabilities in web applications, all without the need for human oversight. It adeptly executes high-level commands based on established benchmarks and analyzes the resulting outputs to tackle a diverse range of security challenges, including CBC padding oracle attacks, IDOR vulnerabilities, remote code execution, blind SQL injections, SSTI bypasses, and cryptographic weaknesses, achieving impressive success rates of up to 75 percent on recognized web security benchmarks. Operating solely on general directives, XBOW seamlessly coordinates tasks such as reconnaissance, exploit development, debugging, and server-side assessments, leveraging publicly available exploits and source code to create tailored proofs-of-concept, validate attack pathways, and produce comprehensive exploit traces along with complete audit trails. Its remarkable capability to adjust to both new and modified benchmarks underscores its exceptional scalability and ongoing learning, which significantly enhances the efficiency of penetration-testing processes. This innovative approach not only streamlines workflows but also empowers security professionals to stay ahead of emerging threats.

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.

APIs are essential to business operations, facilitating everything from revenue-boosting customer interactions to efficient, cost-effective backend processes. Ensure their security with comprehensive API protection from Noname. Effortlessly identify APIs, domains, and potential vulnerabilities. Create a solid inventory of APIs and readily access critical insights, such as exposed data, to comprehend the possible attack vectors that malicious actors could exploit. Gain a complete understanding of every API within your organization's framework, enriched with pertinent business context. Detect vulnerabilities, safeguard sensitive information, and continuously oversee modifications to minimize risks associated with your APIs and lessen your exposure to attacks. This process is enhanced by automated detection powered by machine learning, which can recognize a wide array of API vulnerabilities, such as data leaks, tampering, misconfigurations, policy breaches, unusual activities, and various security threats directed at APIs. By staying vigilant and proactive, organizations can create a resilient and secure API environment.

API critique offers a penetration testing solution specifically designed for enhancing REST API Security. We have pioneered the first-ever pentesting tool, marking a significant advancement in safeguarding APIs amidst the increasing number of targeted attacks. Drawing from OWASP guidelines and our extensive expertise in penetration testing, we ensure that a wide array of vulnerabilities is thoroughly evaluated. Our scanning tool assesses the severity of issues using the CVSS standard, which is recognized and utilized by numerous respected organizations, allowing your development and operations teams to effectively prioritize vulnerabilities with ease. Results from your scans are available in multiple reporting formats such as PDF and HTML, catering to both stakeholders and technical teams, while we also offer XML and JSON formats for automation tools to facilitate the creation of tailored reports. Moreover, development and operations teams can enhance their knowledge through our exclusive Knowledge Base, which outlines potential attacks and provides countermeasures along with remediation steps to effectively reduce risks to your APIs. This comprehensive approach not only strengthens your API security posture but also empowers your teams with the insights needed to proactively address vulnerabilities.

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.

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.

Vizo361 revolutionizes traditional CCTV systems by adding an advanced analytics layer. It implements nine distinct modules, including facial recognition, automatic number plate recognition (ANPR), fire and smoke detection, footfall analysis, phone-in-hand violations, theft during cash handling, guard alertness monitoring, and video management systems (VMS), suitable for application in retail chains, manufacturing plants, and smart infrastructures. With ISO 27001 certification, it offers both cloud-based and on-premises deployment options. More than 50 enterprises throughout India and the Middle East rely on its innovative solutions for enhanced security and operational efficiency. As a result, Vizo361 stands out as a leader in transforming security technology for various sectors.

Intruder, an international cyber security company, helps organisations reduce cyber exposure by providing an easy vulnerability scanning solution. The cloud-based vulnerability scanner from Intruder finds security holes in your digital estate. Intruder protects businesses of all sizes with industry-leading security checks and continuous monitoring.

EarlyCore serves as a dedicated security platform tailored for AI agents, streamlining the processes of pre-production attack testing, real-time surveillance, and compliance documentation throughout the entire lifecycle of the agents. It evaluates agents against a myriad of attack vectors, such as prompt injection, jailbreaking, data theft, tool misuse, and supply chain vulnerabilities. Once deployed, it continuously monitors each agent's actions, establishes typical behavioral patterns, and identifies anomalies in real time, with alerts sent via Slack, email, or webhooks. The platform automatically generates compliance documentation aligned with standards like ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR, ensuring that users remain audit-ready at all times. With a rapid deployment time of just 15 minutes and no need for code alterations, it offers seamless integration with services like AWS Bedrock, Gemini Enterprise Agent Platform, LangChain, among others. It also provides multi-tenant support, making it an ideal choice for agencies and Managed Security Service Providers (MSSPs). Designed specifically for security teams, agencies, and MSSPs, EarlyCore empowers organizations to secure AI agents efficiently at scale while maintaining high compliance and security standards.

Wallarm provides automated real-time protection for web applications, microservices, and APIs through its advanced WAF, API safeguarding, automated incident response, and asset discovery functionalities. It effectively secures these digital assets from the OWASP Top 10 vulnerabilities, bot attacks, and application misuse without necessitating manual rule setups, all while maintaining a remarkably low rate of false positives. The platform is designed for seamless deployment across major cloud services like AWS, GCP, and Azure, as well as in hybrid cloud environments. Additionally, it boasts native compatibility with Kubernetes and service mesh architectures, making it highly versatile. Wallarm also offers adaptable rules to combat account takeover (ATO) and credential stuffing threats. This makes Wallarm the preferred choice for DevSecOps teams aiming to securely develop cloud-native applications. Furthermore, Wallarm’s API security capabilities are designed for straightforward integration with leading API gateway solutions, allowing organizations to install Wallarm effortlessly, regardless of their existing infrastructure. The comprehensive features provided by Wallarm ensure that security is effectively woven into the development lifecycle from the start.

SoBricks is an innovative online platform that allows users to upload their photos and have them transformed into one-of-a-kind custom bricks. On this site, individuals can view their designs in 3D and make personalized adjustments to the brick models. Additionally, the platform features an engaging tutorial page that guides users through the building process effortlessly. Discover the creative possibilities and start your journey today!

CrowdStrike Falcon AI Detection and Response (AIDR) serves as a comprehensive security solution aimed at safeguarding the quickly evolving AI attack landscape by offering immediate visibility, detection, and response capabilities across various AI systems, users, and their interactions. This platform grants a consolidated view of how both employees and AI agents engage with generative AI by elucidating the connections between users, prompts, models, agents, and the necessary infrastructure, while also recording in-depth runtime logs for purposes of monitoring, compliance, and investigation. By consistently overseeing AI operations across endpoints, cloud settings, and applications, organizations can gain insights into data movement within AI frameworks and how agents function within established limits. AIDR is adept at identifying and neutralizing AI-specific threats, including prompt injections, jailbreak attempts, malicious actors, harmful outputs, and unauthorized interactions, through the application of behavioral analysis alongside integrated threat intelligence. Additionally, the platform facilitates proactive threat management, allowing organizations to not only respond to incidents but also to anticipate potential vulnerabilities in their AI ecosystems.

Cisco AI Defense represents an all-encompassing security framework aimed at empowering businesses to securely create, implement, and leverage AI technologies. It effectively tackles significant security issues like shadow AI, which refers to the unauthorized utilization of third-party generative AI applications, alongside enhancing application security by ensuring comprehensive visibility into AI resources and instituting controls to avert data breaches and reduce potential threats. Among its principal features are AI Access, which allows for the management of third-party AI applications; AI Model and Application Validation, which performs automated assessments for vulnerabilities; AI Runtime Protection, which provides real-time safeguards against adversarial threats; and AI Cloud Visibility, which catalogs AI models and data sources across various distributed settings. By harnessing Cisco's capabilities in network-layer visibility and ongoing threat intelligence enhancements, AI Defense guarantees strong defense against the continuously changing risks associated with AI technology, thus fostering a safer environment for innovation and growth. Moreover, this solution not only protects existing assets but also promotes a proactive approach to identifying and mitigating future threats.

Workplace usage of AI tools such as ChatGPT, Copilot, Claude, and DeepSeek has surged, frequently occurring without the necessary oversight from IT departments. An alarming 78% of employees acknowledge utilizing ChatGPT for professional purposes, thereby exposing sensitive information like financial data, API keys, passwords, source code, and personal records to potential risks. Traditional Data Loss Prevention (DLP) solutions and proxies are inadequately equipped to handle this new form of threat. Enter ZeusLock, a DLP solution specifically designed for the AI-driven landscape. It seamlessly identifies and prevents sensitive data from being transmitted to any AI service, ensuring security. The installation process is rapid, taking merely two minutes through a browser extension and a workstation agent, and it effectively protects web applications, integrated development environments (IDEs), command terminals, and AI agents via its Multi-Channel Protection (MCP) system. When a threat is identified, ZeusLock either notifies the user or blocks the action, depending on established policies, while meticulously recording every incident for comprehensive auditing. Additionally, it offers protection against various attacks, including Prompt Injection and Jailbreak attacks, as well as unauthorized shadow AI applications like DeepSeek. The detection capabilities operate locally, utilizing a machine learning API based in Europe to guarantee data sovereignty, all while maintaining zero latency and ensuring no hindrance to productivity. This innovative approach not only fortifies data security but also empowers organizations to embrace AI tools with confidence.

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.

open-appsec is an open-source initiative that builds on machine learning to provide pre-emptive web app & API threat protection against OWASP-Top-10 and zero-day attacks. It can be deployed as add-on to Kubernetes Ingress, NGINX, Envoy and API Gateways. The open-appsec engine learns how users normally interact with your web application. It then uses this information to automatically detect requests that fall outside of normal operations, and sends those requests for further analysis to decide whether the request is malicious or not. open-appsec uses two machine learning models: 1. A supervised model that was trained offline based on millions of requests, both malicious and benign. 2. An unsupervised model that is being built in real time in the protected environment. This model uses traffic patterns specific to the environment. open-oppsec simplifies maintenance as there is no threat signature upkeep and exception handling, like common in many WAF solutions.

Scanner.dev is a cloud-based security data lake and a streamlined security information and event management (SIEM) platform that allows users to index logs directly into their Amazon S3 storage, thereby enabling the retention of unlimited logs and facilitating full-text searches across vast amounts of data in mere seconds, all without the need for additional ETL processes or schema setups. With its lightweight indexing system, any log format can be made immediately searchable, and it offers rapid search capabilities, ongoing threat detection through customizable detection rules that can be managed as code via GitHub, and seamless alerting with APIs for automation and existing security workflow integration. The platform's streaming detection engine constantly assesses rule queries in nearly real time and is equipped to backtest detection logic using historical data. Furthermore, its API and Model Context Protocol (MCP) not only provide programmatic access but also allow for AI-assisted evaluation of security data, enhancing the overall security analysis process. This robust architecture ensures that organizations can effectively manage and respond to security threats with agility and precision.

Imperva API Security safeguards your APIs using an automated positive security model, which identifies vulnerabilities in applications and protects them from being exploited. On average, organizations handle at least 300 APIs, and Imperva enhances your security framework by automatically constructing a positive security model for each uploaded API swagger file. The rapid development of APIs often outpaces the ability of security teams to review and approve them before deployment. With Imperva’s API Security, your teams can maintain a proactive stance in DevOps through automation. This solution equips your strategy with pre-configured security rules tailored to your specific APIs, ensuring comprehensive coverage of OWASP API standards and enhancing visibility into all security events for each API endpoint. By simply uploading the OpenAPI specification file created by your DevOps team, Imperva will efficiently generate a positive security model, allowing for streamlined security management. This capability not only simplifies API security but also enables organizations to focus more on innovation while maintaining robust protection.

integraERP stands out as the leading software solution for the masonry sector, tailored specifically for those in the brick and block industry. It offers a range of features designed to enhance efficiency and return on investment, including tools for brick configuration, product and lot tracking, pricing management, and quote generation. These functionalities are crafted to aid companies in the brick-and-block market in optimizing their resources, maintaining effective inventory controls, and elevating their customer service experience. Businesses operating in this realm typically engage in the production and distribution of bricks, blocks, mortars, ceramic tiles, concrete pipes, and other related materials. With integraSoft's specialized solutions for masonry and brick & block distributors, organizations can significantly lower operational expenses, boost sales revenue, and enhance customer satisfaction. Furthermore, these solutions facilitate quicker payment processing and minimize errors. The experienced and innovative team at integraSoft is committed to supporting your business with the necessary tools to navigate your next project successfully, ensuring that you have all the resources needed to thrive in a competitive market. By partnering with integraSoft, you can position your business for sustainable growth and long-term success.

ZeroLeaks serves as an AI-driven security platform designed to assist organizations in detecting and addressing vulnerabilities related to exposed system prompts, internal tools, and logical flaws that may lead to prompt injection, extraction, or other forms of data leakage threatening sensitive instructions or intellectual property. The platform features an interactive dashboard that allows users to perform manual scans of system prompts or automate the scanning process through CI/CD integrations, enabling the identification of leaks and injection vectors prior to code deployment. Additionally, it employs an AI-enhanced red-team analysis engine to evaluate prompt areas for logical errors, extraction threats, and potential misuse, providing users with evidence, scoring, and actionable remediation strategies. Aimed at enterprise-level security for products utilizing large language models, ZeroLeaks delivers vulnerability assessments that detail the extent of prompt exposure, highlight prioritized risks, provide proof of issues discovered, and outline access paths along with proposed solutions, such as prompt reconfiguration and tool access restrictions. Ultimately, ZeroLeaks empowers organizations to bolster their security measures and safeguard their intellectual assets effectively.

TrendAI Vision One™ is a comprehensive AI-powered cybersecurity platform designed to protect enterprises in an increasingly complex threat landscape. Built by Trend Micro, it delivers unified visibility across endpoints, cloud environments, networks, and data systems. The platform leverages advanced AI analytics to identify, prioritize, and respond to security risks based on their potential business impact. It enables organizations to detect threats in real time and automate response workflows for faster mitigation. TrendAI Vision One™ combines capabilities such as extended detection and response (XDR), SIEM, and SOAR into a single integrated solution. It also provides robust protection for AI systems, ensuring secure development, deployment, and governance of AI applications. The platform helps organizations reduce alert fatigue while improving operational efficiency. Its threat intelligence is powered by one of the world’s largest cybersecurity research networks. Businesses can use the platform to proactively manage cyber risk and strengthen resilience. Overall, TrendAI Vision One™ empowers enterprises to innovate securely while staying ahead of modern cyber threats.

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.

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.

Your company's AI algorithms serve as a distinctive competitive edge, but they also represent a significant investment. If a successful adversarial attack were to occur, it could undermine that advantage without your awareness. HiddenLayer emerges as the pioneering solution tailored for this new security dimension—your AI. It provides a seamless software solution that ensures ongoing, real-time monitoring of your model's integrity and vulnerabilities, all without requiring access to its inner workings or the data used for training. Unlike most adversarial AI security firms, which rely on costly panels of experts to dissect and reinforce algorithms from within, HiddenLayer offers a more efficient approach. Established by professionals in machine learning and security, the company understands the subtlety and complexity of adversarial ML threats, making it easier for organizations to safeguard their AI assets. With HiddenLayer, businesses can focus on innovation while maintaining confidence in their AI's security.

CountBricks offers mobile and web-based estimating applications that revolutionize the construction estimating process, delivering a powerful productivity solution. Designed for simplicity and efficiency, these tools enable users to produce precise project estimates swiftly and effortlessly. By leveraging CountBricks' state-of-the-art AI estimating technology, you can streamline your estimating workflow, significantly reducing takeoff time while enhancing overall accuracy. With our cutting-edge software, generating estimates becomes a quick and straightforward task. The accessibility of our web and mobile apps means you can perform estimating tasks from virtually anywhere at any time. CountBricks empowers you to harness AI to determine materials, tasks, and pricing for accurate project estimates. By utilizing our digital mobile estimating solutions, construction professionals can improve their estimating efficiency like never before, ultimately leading to more successful project outcomes. This innovative approach to estimating is set to transform how construction projects are planned and executed.

Vega is a powerful tool designed to assist in identifying and validating various security vulnerabilities, including SQL Injection, cross-site scripting, and the accidental exposure of sensitive data. This application, developed in Java, features a graphical user interface and is compatible with Linux, OS X, and Windows platforms. With Vega, you can detect a range of vulnerabilities like reflected and stored cross-site scripting, blind SQL injection, remote file inclusion, and shell injection, among others. Additionally, it assesses TLS/SSL security configurations and suggests enhancements for your TLS servers' security. The tool boasts an automated scanner for efficient testing and an intercepting proxy for in-depth analysis. Vega’s scanning capabilities are adept at uncovering SQL injection vulnerabilities and more. It also incorporates a website crawler to enhance its automated scanning process, and it has the ability to log into websites automatically when provided with user credentials. Overall, Vega is an invaluable resource for enhancing your web application's security posture.

Enhance your application security and shield your APIs with AppSec that utilizes contextual AI. Defend against threats targeting your web applications through a fully automated, cloud-native security framework. Say goodbye to the cumbersome process of manually adjusting rules and drafting exceptions every time you modify your web applications or APIs. Today's applications require advanced security measures. Safeguard your web applications and APIs, reduce false positives, and thwart automated assaults on your enterprise. CloudGuard employs contextual AI to accurately neutralize threats without the need for human oversight, adapting seamlessly as the application evolves. Ensure the defense of your web applications and guard against the OWASP Top 10 vulnerabilities. From the initial setup to ongoing operations, CloudGuard AppSec comprehensively evaluates every user, transaction, and URL to generate a risk score that effectively halts attacks while avoiding false alarms. Remarkably, 100% of CloudGuard clients have fewer than five rule exceptions for each deployment, showcasing the efficiency of the system. With CloudGuard, you can trust that your security measures evolve alongside your applications, providing not just protection but peace of mind.

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.

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.

Straiker is an innovative security platform designed exclusively for safeguarding enterprise AI applications and autonomous agents, particularly addressing the emerging hazards posed by “agentic AI” systems that engage with various tools, APIs, and sensitive data. By offering comprehensive visibility and control throughout the entire AI stack, it analyzes behavioral signals from models, prompts, tools, identities, and infrastructure, which facilitates the immediate detection and prevention of AI-specific threats, including prompt injection, privilege escalation, data exfiltration, and the misuse of tools. The platform integrates continuous discovery, adversarial testing, and runtime protection through essential components such as Discover AI, Ascend AI, and Defend AI, working in harmony to identify all active agents, simulate potential attacks to reveal weaknesses, and implement real-time protective measures during operation. Its intricate, multi-layered architecture captures profound contextual signals from user interactions, network activities, and agent workflows, ensuring a robust defense against evolving threats. As AI technologies continue to advance, the necessity for such tailored security solutions will become increasingly critical for enterprises navigating this complex landscape.

SplxAI presents an automated platform tailored for conversational AI solutions. At the heart of their offerings is Probe, which actively detects and addresses vulnerabilities within AI systems by replicating targeted attack scenarios specific to various domains. Among its notable features, Probe provides comprehensive risk assessments, compliance and framework evaluations, domain-oriented penetration testing, ongoing automated testing, and support for over 20 languages, showcasing its multi-lingual capabilities. This platform is designed to integrate smoothly into development processes, ensuring that AI applications maintain a high level of security throughout their entire lifecycle. SplxAI aims to protect and fortify generative AI-driven conversational applications by delivering sophisticated security and penetration testing services, allowing organizations to harness the full potential of AI without sacrificing safety. By using Probe, developers can effectively evaluate and fine-tune their applications' boundaries to achieve the best security measures and enhance user experiences without imposing unnecessary limitations. Ultimately, this approach encourages a balance between robust security and innovative functionality in AI technology.

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.