Top middleBrick Alternatives

Operant AI provides extensive protection across all tiers of modern applications, ranging from infrastructure to APIs. Its easy-to-implement solution can be set up in just minutes, guaranteeing full security visibility and runtime controls that effectively counter a wide spectrum of cyber threats, including data exfiltration, data poisoning, zero-day vulnerabilities, lateral movement, cryptomining, prompt injection, and more. This level of security is delivered without the need for instrumentation, ensuring there is no drift and that Development, Security, and Operations teams experience minimal disruption. Additionally, Operant enhances the defense mechanisms for cloud-native applications by offering in-line runtime protection for all data being utilized during every interaction, from infrastructure to APIs. This solution demands zero instrumentation, requires no changes to application code, and does not necessitate extra integrations, thereby significantly simplifying the overall security process while maintaining robust protection. Ultimately, the combination of these features positions Operant AI as a leader in the realm of application security.

Resurface serves as a specialized tool for runtime API security, enabling continuous scanning that facilitates immediate detection and response to potential threats and vulnerabilities. Designed specifically for API data, it captures every request and response payload, including those from GraphQL, allowing users to quickly identify possible risks and failures. With its real-time alert system, Resurface notifies users about data breaches, providing zero-day detection capabilities. Additionally, it aligns with the OWASP Top 10, offering alerts on various threats while employing comprehensive security patterns. As a self-hosted solution, it ensures that all data remains first-party and secure. Unique in its capabilities, Resurface can conduct extensive inspections at scale, efficiently detecting active attacks as it processes millions of API calls. Leveraging advanced machine learning models, it identifies unusual patterns and recognizes low-and-slow attack strategies, enhancing overall API security measures. This combination of features makes Resurface a crucial tool for any organization serious about safeguarding their APIs and mitigating risks.

We are creators driven by a clear purpose. Our passion lies in developing products that enhance global security. Throughout our professional journeys, we've crafted numerous enterprise solutions at both emerging startups and established firms such as Splunk, Cisco, Symantec, and McAfee, where we frequently had to develop security functionalities from the ground up. Pangea introduces the pioneering Security Platform as a Service (SPaaS), which consolidates the disjointed landscape of security into a streamlined collection of APIs, allowing developers to seamlessly integrate security into their applications. This innovative approach not only simplifies security implementation but also ensures that developers can focus more on building their core products.

SecureLayer7 has developed the BugDazz API Security Scanner, a comprehensive tool designed to automatically detect vulnerabilities, misconfigurations, and security flaws in API endpoints, which assists security teams in protecting their digital assets from an increasing array of API-related threats and potential breaches. Featuring real-time scanning capabilities, this solution can quickly uncover vulnerabilities as they arise, allowing for prompt remediation of security concerns. Additionally, it facilitates thorough management of authentication and access controls, centralizing API management in a straightforward platform. The tool also simplifies the report generation process for compliance frameworks such as PCI DSS and HIPAA, making it an essential asset for organizations striving for regulatory compliance with ease. It seamlessly integrates into existing CI/CD pipelines, thereby speeding up product deployments without compromising security measures. Beyond addressing the typical vulnerabilities listed in the OWASP Top 10, BugDazz provides extensive defense against a wider range of significant API security threats. This adaptability not only helps organizations fend off emerging dangers but also supports the establishment of robust security practices, thereby ensuring a proactive security posture.

LangProtect is an innovative security and governance solution crafted specifically for AI, providing strong defenses against challenges such as prompt injections, jailbreaks, data breaches, and the creation of unsafe or non-compliant outputs in LLM and Generative AI systems. Designed for advanced GenAI production environments, the platform applies real-time controls at the execution level, carefully analyzing prompts, model responses, and function calls as they happen, which allows teams to block high-risk actions before they can impact users or jeopardize sensitive data. In doing so, LangProtect promptly neutralizes potential threats, thereby safeguarding the integrity of both data and user interactions. Moreover, LangProtect's API-first architecture allows for effortless integration with existing LLM systems while ensuring low latency, and it supports a variety of deployment models, including cloud, hybrid, and on-premise configurations to satisfy the security and data residency needs of organizations. The platform is also adept at protecting modern architectures like RAG pipelines and agentic workflows, offering policy-driven enforcement, ongoing monitoring, and governance that are prepared for audits. This all-encompassing strategy empowers organizations to harness AI technologies confidently while significantly reducing the risks tied to their implementation. Ultimately, LangProtect stands out as a vital resource for businesses aiming to navigate the complexities of AI security effectively.

Alice is a leading AI safety and adversarial intelligence platform built to secure the rapidly evolving landscape of generative AI, agents, and emerging technologies. Rebranded from ActiveFence, Alice combines a decade of real-world adversarial research with the industry’s most comprehensive toxic and abuse dataset to protect platforms, applications, and foundation models at scale. Its proprietary Rabbit Hole intelligence engine continuously ingests and analyzes billions of manipulative, harmful, and abusive data samples, enabling proactive threat detection before incidents become public crises. Today, Alice safeguards more than 3 billion users worldwide and monitors over 1 billion daily AI-human interactions across 120+ languages. The company’s WonderSuite platform delivers end-to-end AI security, including WonderBuild for pre-deployment stress testing, WonderFence for dynamic runtime guardrails, and WonderCheck for ongoing automated red-teaming. These capabilities address emerging risks such as prompt injection, jailbreaks, application-level exploits, compliance failures, and unintended GenAI behavior. Alice allows organizations to customize policy alignment based on regulatory obligations and risk tolerance, ensuring trusted interactions across text, image, and multimodal systems. By strengthening governance frameworks and reducing reputational exposure, Alice helps enterprises and frontier model labs deploy AI responsibly and confidently. Trusted by leading global technology companies, Alice serves as a foundational layer of safety for more than half of the world’s online experiences.

AppSecure equips businesses with the foresight and capability to prevent sophisticated cyberattacks from highly skilled adversaries through its innovative security strategies. By pinpointing essential vulnerabilities that could be targeted, our state-of-the-art security solutions guarantee these issues are consistently addressed and resolved. We enhance your overall security framework while scrutinizing concealed weaknesses from the perspective of a potential intruder. Evaluate your security team's readiness, detection proficiency, and response plans against relentless cyber threats that aim at your network's weak points. Our thorough approach emphasizes identifying and correcting major security lapses by meticulously testing your APIs according to OWASP standards, alongside tailored test scenarios designed to prevent future complications. With our pentesting-as-a-service model, we deliver continuous, expert-led security evaluations that not only discover and fix vulnerabilities but also strengthen your website's defenses against the evolving nature of cyber threats, ensuring it stays secure, compliant, and trustworthy. In addition, AppSecure is committed to cultivating a robust security environment that evolves alongside new challenges, fostering not just resilience but also peace of mind for our clients.

WebOrion Protector Plus represents a cutting-edge firewall solution that harnesses GPU technology to protect generative AI applications with critical security measures. It offers immediate defenses against rising threats, such as prompt injection attacks, unauthorized data exposure, and misleading content generation. Key features include safeguards against prompt injections, the protection of intellectual property and personally identifiable information (PII) from unauthorized access, and content moderation to ensure the accuracy and relevance of responses generated by large language models. Furthermore, the system employs user input rate limiting to mitigate potential security flaws and manage resource use effectively. At the heart of its security framework is ShieldPrompt, a sophisticated defense system that assesses context through LLM analysis of user inputs, conducts canary checks by incorporating deceptive prompts to detect potential data leaks, and thwarts jailbreak attempts through advanced techniques like Byte Pair Encoding (BPE) tokenization paired with adaptive dropout strategies. This holistic methodology not only strengthens the security posture but also significantly boosts the trustworthiness and reliability of generative AI systems, ensuring they can perform optimally in a secure environment. Consequently, organizations can confidently deploy these AI solutions while minimizing risks associated with data breaches and inaccuracies.

Wardstone serves as a protective security API designed for language models, functioning as a barrier between applications and different language model suppliers by assessing both inputs and outputs for possible threats across four specific categories within a single request: prompt attacks, content violations, data leaks, and suspicious links. It excels at detecting jailbreaks and prompt injections, as well as harmful content that includes hate speech, violence, and self-harm, while also identifying personally identifiable information such as Social Security numbers, credit card information, email addresses, and phone numbers, in addition to spotting questionable URLs. Each response it generates comes with a comprehensive risk evaluation for every category, all accomplished in a rapid response time of less than 30 milliseconds. Compatible with any language model provider, it is available through a REST API and supports SDKs in a variety of programming languages including TypeScript, Python, Go, Ruby, PHP, Java, and C#. There is a free tier that allows for up to 10,000 calls per month without requiring a credit card, and it also includes a web-based playground for users to try out and test its functionalities. This tool can be seamlessly integrated into existing systems, significantly improving the security measures of language model interactions, thereby ensuring a safer environment for users and applications alike.

Ensure continuous near real-time monitoring and identification of data flowing between external applications, with integrated remediation features to address issues swiftly. Without regular oversight of third-party APIs, organizations may inadvertently allow attackers an average of seven months to exploit vulnerabilities before they are detected and remedied. Vorlon delivers persistent monitoring of your external applications, identifying irregular activities almost instantly by analyzing your data hourly. This provides a comprehensive understanding of the risks linked to the third-party applications your Enterprise employs, along with practical insights and recommendations for improvement. You will be able to confidently communicate progress to your stakeholders and board, fostering a culture of transparency. Improve your visibility into external applications, enabling rapid detection, investigation, and response to unusual activities, data breaches, and security incidents as they happen. Furthermore, evaluate the compliance of the third-party applications your Enterprise depends on with applicable regulations, offering stakeholders reliable evidence of compliance. Consistently implementing robust security measures is vital for protecting your organization from potential threats while ensuring ongoing improvement in your security posture.

MCP Defender is a cutting-edge open-source desktop application that acts as an AI firewall, meticulously designed to monitor and protect communications related to the Model Context Protocol (MCP). Operating as a secure intermediary between AI applications and MCP servers, it rigorously examines all communications in real-time to identify potential threats. With its automatic scanning and securing of all MCP tool calls, the application harnesses sophisticated LLM capabilities to effectively pinpoint malicious activities. Users have the option to customize the signatures used during the scanning process, allowing for personalized security measures tailored to their unique requirements. MCP Defender stands out in its ability to detect and thwart various AI security threats, including prompt injection, credential theft, arbitrary code execution, and remote command injection. It effortlessly integrates with a wide array of AI applications, such as Cursor, Claude, Visual Studio Code, and Windsurf, with aspirations for broader compatibility in the near future. The application boasts intelligent threat detection and promptly notifies users upon detecting any harmful actions from AI applications, ensuring a formidable defense against ever-evolving threats. Additionally, MCP Defender not only enhances security but also instills confidence in users as they engage with AI technologies, fostering an environment of safety and reliability. Ultimately, this innovative tool empowers users to navigate their AI interactions with enhanced security and peace of mind.

The software development lifecycle has undergone a fundamental shift. Across engineering organizations of every size, developers are using AI coding tools — GitHub Copilot, Cursor, Windsurf, Claude Code, Gemini CLI — as a core part of how software gets built. These tools accelerate delivery, but they also introduce a new and largely ungoverned attack surface that traditional security products were never designed to address. Backslash Security was built specifically for this environment. The platform gives security teams comprehensive visibility into the AI coding tools active across their organization, the code being generated, and the risk being introduced before it ever reaches production. This is not a legacy scanner retrofitted for a new market. Every capability in Backslash was designed from the ground up with AI-native development in mind. A critical risk vector is MCP servers — the infrastructure AI coding agents use to connect to external services and data sources. Misconfigured or over-permissioned MCP servers can expose sensitive organizational data to AI models, creating data leakage pathways that are invisible to conventional security tooling. Backslash provides full visibility into MCP server connections, flags over-permissioned configurations, and enforces access controls before exposure occurs. Core capabilities include AI coding tool inventory and policy enforcement, MCP server visibility and over-permission detection, data leakage prevention across AI agent connections, vibe coding security for risk detection in AI-generated code, and continuous monitoring across the full AI coding spectrum. The organizations that need Backslash have already crossed the AI coding adoption threshold. Their developers are moving fast, AI tools are embedded in daily workflows, and security visibility has not kept pace. Backslash closes that gap — giving security teams the control and confidence to let development move at the speed the business demands.

Enhance your sales, reduce risks, and boost customer satisfaction by utilizing Curri's cutting-edge software and services. Transform the management of middle and final-mile deliveries specifically for construction and industrial materials. By tapping into the opportunities surrounding you, you can unlock new revenue streams that were previously unattainable. Say goodbye to losing clients to competitors, as our state-of-the-art technology platform improves your on-time delivery performance, reduces operational expenses, and elevates your brand image. The challenges faced in traditional brick-and-mortar operations can seem overwhelming, yet with Curri's innovative tools, your business processes will become more streamlined and effective. Our vast experience in middle and final-mile logistics sets you up for significant success, allowing you to elevate your operational capabilities. With access to our nationwide carrier network, you will effortlessly handle fluctuations in demand and resolve any fleet-related issues. Offering everything from dedicated drivers to on-demand fleets, along with rate-shopping and route optimization solutions, we provide a holistic approach to managing your logistics challenges and ensuring your business flourishes. Additionally, by harnessing our advanced technology, you will not only boost your operational efficiency but also significantly enhance your service offerings to meet and exceed client expectations. Ultimately, Curri empowers businesses to achieve a competitive edge in a fast-evolving market.

APIs play a crucial role in the functioning of businesses, enabling everything from enhancing customer engagement to streamlining backend operations in a cost-efficient manner. To protect these vital components, implementing robust API security measures with Noname is essential. This solution allows organizations to easily pinpoint APIs, domains, and any existing vulnerabilities. By establishing a detailed inventory of APIs, businesses can quickly access vital information, including exposed data, which helps in understanding the potential attack vectors that threats may exploit. Achieving a comprehensive view of all APIs within a company's infrastructure, enriched with relevant business context, is key to effective management. Identifying vulnerabilities, protecting sensitive data, and continuously monitoring for changes are necessary steps to mitigate risks related to APIs and reduce the likelihood of attacks. The process is further strengthened by automated detection capabilities driven by machine learning technology, which can identify a wide range of API vulnerabilities, including data leaks, tampering, misconfigurations, policy violations, and suspicious activities. By maintaining a vigilant and proactive stance, organizations can foster a robust and secure API ecosystem, ensuring long-term protection against evolving security threats. Ultimately, the integration of such advanced security measures not only enhances the defense mechanisms for APIs but also instills greater confidence in overall business operations.

Critiquing APIs is an effective approach for enhancing penetration testing. We have developed the first-ever penetration testing tool that focuses exclusively on securing REST APIs, representing a major leap forward in this area. Given the increasing frequency of attacks targeting APIs, our tool integrates a comprehensive set of verification procedures based on OWASP standards along with our rich experience in penetration testing services, guaranteeing extensive coverage of potential vulnerabilities. To assess the seriousness of the identified issues, we utilize the CVSS standard, widely acknowledged and adopted by many top organizations, which enables your development and operations teams to prioritize vulnerabilities efficiently. Users can view the outcomes of their scans through various reporting formats such as PDF and HTML, which are suitable for both stakeholders and technical teams, while also providing XML and JSON options for automation tools, thereby streamlining the report generation process. Moreover, our extensive Knowledge Base offers development and operations teams valuable insights into possible attack vectors, complete with countermeasures and steps for remediation that are crucial for reducing risks linked to APIs. This comprehensive framework not only bolsters security but also empowers teams to take proactive measures in addressing vulnerabilities before they can be exploited, fostering a culture of continuous improvement in API security management. By implementing these strategies, organizations can significantly enhance their resilience against potential threats.

NeuralTrust stands out as a premier platform designed to secure and enhance the functionality of LLM agents and applications. Recognized as the quickest open-source AI Gateway available, it offers a robust zero-trust security model that facilitates smooth tool integration while maintaining safety. Additionally, its automated red teaming feature is adept at identifying vulnerabilities and hallucinations within the system. Core Features - TrustGate: The quickest open-source AI gateway that empowers enterprises to expand their LLM capabilities with an emphasis on zero-trust security and sophisticated traffic management. - TrustTest: An all-encompassing adversarial testing framework that uncovers vulnerabilities and jailbreak attempts, ensuring the overall security and dependability of LLM systems. - TrustLens: A real-time AI monitoring and observability solution that delivers in-depth analytics and insights into the behaviors of LLMs, allowing for proactive management and optimization of performance.

EarlyCore is a specialized security platform crafted specifically for AI agents, enhancing the efficiency of pre-production attack testing, ongoing surveillance, and compliance documentation throughout the agents' operational lifespan. The platform rigorously assesses agents against a wide range of potential threats, including prompt injection, jailbreaking, data exfiltration, tool misuse, and vulnerabilities within the supply chain. After agents are deployed, EarlyCore provides continuous oversight of their actions, establishes baseline behavioral norms, and detects anomalies in real time, promptly notifying users through Slack, email, or webhooks. Furthermore, it automates the creation of compliance documentation that adheres to various standards such as ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR, ensuring that organizations are always prepared for audits. With an impressive deployment time of merely 15 minutes and without requiring any code modifications, it integrates effortlessly with services like AWS Bedrock, Gemini Enterprise Agent Platform, and LangChain, among others. Additionally, it supports multi-tenant environments, making it particularly suitable for agencies and Managed Security Service Providers (MSSPs). Tailored for security teams, agencies, and MSSPs, EarlyCore equips organizations with the tools necessary to effectively secure AI agents at scale while upholding rigorous compliance and security standards, ultimately fostering a safer AI ecosystem.

Tumeryk Inc. specializes in state-of-the-art security solutions tailored for generative AI, offering features like the AI Trust Score that supports real-time monitoring, risk evaluation, and compliance with regulations. Our cutting-edge platform empowers businesses to protect their AI infrastructures, guaranteeing that implementations are not only dependable and credible but also in line with relevant policies. The AI Trust Score measures the potential hazards associated with generative AI technologies, which is crucial for organizations seeking to adhere to significant regulations such as the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates the reliability of AI-generated responses by examining various risks, including bias, vulnerability to jailbreak attacks, irrelevance, harmful content, risks of disclosing Personally Identifiable Information (PII), and occurrences of hallucination. Furthermore, it can be easily integrated into current business processes, allowing companies to make well-informed decisions about accepting, flagging, or rejecting AI-generated outputs, which ultimately minimizes the associated risks of these technologies. By adopting this score, organizations can create a more secure environment for AI applications, which in turn enhances public confidence in automated systems and promotes responsible usage of AI technology. This commitment to security and compliance positions Tumeryk Inc. as a leader in the intersection of artificial intelligence and safety.

CrowdStrike Falcon AI Detection and Response (AIDR) is an all-encompassing security solution designed to protect against the rapidly shifting landscape of AI-related attacks by providing real-time visibility, detection, and response capabilities across diverse AI systems, users, and their interactions. This innovative platform offers a unified perspective on how both human employees and AI agents utilize generative AI, clarifying the relationships among users, prompts, models, agents, and the supporting infrastructure, while maintaining extensive runtime logs for monitoring, compliance, and investigative needs. By continuously tracking AI activities across various endpoints, cloud environments, and applications, organizations can uncover insights into data flows within AI systems and understand the operational boundaries of agents. AIDR excels at recognizing and mitigating AI-specific threats, such as prompt injections, jailbreak attempts, malicious actors, harmful outputs, and unauthorized interactions, leveraging behavioral analysis and integrated threat intelligence. Furthermore, the platform enhances proactive threat management, enabling organizations not only to react to incidents but also to foresee and address potential vulnerabilities within their AI environments. As a result, AIDR empowers organizations to maintain a robust security posture in the face of evolving AI threats while fostering trust in their AI implementations.

Tenable AI Exposure is a powerful, agentless solution that forms part of the Tenable One exposure management platform, aimed at improving visibility, context, and oversight of generative AI tools such as ChatGPT Enterprise and Microsoft Copilot. This innovative tool enables organizations to monitor user interactions with AI technologies, offering valuable insights into who is utilizing them, the types of data involved, and the workflows being executed, all while pinpointing and mitigating potential risks like misconfigurations, insecure integrations, and the risk of sensitive information leakage, including personally identifiable information (PII), payment card information (PCI), and proprietary business data. In addition, it provides robust protection against various threats such as prompt injections, jailbreak attempts, and breaches of policy by deploying security measures that seamlessly integrate into everyday operations. Designed to be compatible with leading AI platforms and capable of being deployed in mere minutes without any downtime, Tenable AI Exposure plays a critical role in governing AI usage, making it a vital aspect of an organization’s broader cyber risk management approach, which ultimately leads to safer and more compliant AI practices. By embedding these security protocols, organizations are not only able to protect themselves from vulnerabilities but also promote a culture that prioritizes responsible AI usage and fosters trust among stakeholders. This proactive stance ensures that both innovation and security can coexist harmoniously in the fast-evolving landscape of artificial intelligence.

Intruder, a global cybersecurity firm, assists organizations in minimizing their cyber risk through a user-friendly vulnerability scanning solution. Their cloud-based scanner identifies security weaknesses within your digital assets. By offering top-tier security assessments and ongoing monitoring, Intruder safeguards businesses of all sizes effectively. This comprehensive approach ensures that companies remain vigilant against evolving cyber threats.

Wallarm delivers automated, real-time defense for web applications, microservices, and APIs through its sophisticated WAF, API protection, automated incident management, and asset discovery features. This solution successfully shields digital assets from the OWASP Top 10 vulnerabilities, bot threats, and misuse of applications without the need for manual rule configurations, all while achieving an impressively low false positive rate. The platform is crafted for easy deployment across leading cloud services such as AWS, GCP, and Azure, as well as within hybrid cloud infrastructures. Furthermore, it is natively compatible with Kubernetes and service mesh frameworks, enhancing its adaptability in various environments. Wallarm also incorporates dynamic rules to mitigate account takeover (ATO) and credential stuffing risks, making it an ideal option for DevSecOps teams focused on secure cloud-native application development. Additionally, Wallarm’s API security features are designed to integrate smoothly with top API gateway solutions, facilitating straightforward installation regardless of a company's existing setup. Importantly, the extensive functionalities offered by Wallarm guarantee that security is integrated into the development process right from the outset, thereby reinforcing the overall integrity of applications.

Cisco AI Defense serves as a comprehensive security framework designed to empower organizations to safely develop, deploy, and utilize AI technologies. It effectively addresses critical security challenges, such as shadow AI, which involves the unauthorized use of third-party generative AI tools, while also improving application security through enhanced visibility into AI resources and implementing controls that prevent data breaches and minimize potential threats. Key features of this solution include AI Access for managing third-party AI applications, AI Model and Application Validation that conducts automated vulnerability assessments, AI Runtime Protection offering real-time defenses against adversarial threats, and AI Cloud Visibility that organizes AI models and data sources across diverse distributed environments. By leveraging Cisco's expertise in network-layer visibility and continuous updates on threat intelligence, AI Defense ensures robust protection against the evolving risks associated with AI technologies, thereby creating a more secure environment for innovation and advancement. Additionally, this solution not only safeguards current assets but also encourages a forward-thinking strategy for recognizing and addressing future security challenges. Ultimately, Cisco AI Defense is a pivotal resource for organizations aiming to navigate the complexities of AI integration while maintaining a solid security posture.

Open-appsec is an innovative open-source project that leverages machine learning to deliver proactive security measures for web applications and APIs, safeguarding against the OWASP Top 10 vulnerabilities as well as zero-day exploits. This system can be seamlessly integrated as an add-on to Kubernetes Ingress, NGINX, Envoy, and various API Gateways. The core engine of open-appsec observes typical user interactions with your web application, utilizing this behavior data to identify any requests that deviate from established norms, subsequently forwarding these anomalies for further scrutiny to determine their potential maliciousness. To achieve this, open-appsec employs two distinct machine learning models: 1. A supervised model developed offline, drawing insights from millions of both malicious and harmless requests. 2. An unsupervised model that evolves in real time within the protected environment, focusing on the unique traffic patterns of that specific setting. In addition to its robust detection capabilities, open-appsec streamlines maintenance by eliminating the need for frequent threat signature updates and exception management, which are often prerequisites in many conventional WAF solutions. Overall, open-appsec not only enhances security but also reduces the complexity typically associated with managing web application firewalls.

TrendAI Vision One™ is an advanced enterprise cybersecurity platform created by Trend Micro to address the challenges of security in the AI-driven digital landscape. It delivers a unified approach to protecting people, infrastructure, and data by providing complete visibility across an organization’s entire digital ecosystem. The platform uses AI-powered analytics to identify, assess, and prioritize risks based on real-world business impact. It enables proactive threat detection and automated response, helping organizations prevent attacks before they escalate. TrendAI Vision One™ integrates multiple security layers, including endpoint, cloud, network, email, identity, and data protection, into a single platform. Its capabilities extend to AI security, ensuring safe adoption and governance of AI applications while mitigating risks such as prompt injection and data exposure. The platform combines technologies like XDR, SIEM, and SOAR to streamline security operations and improve efficiency. It reduces alert fatigue and enhances decision-making through context-rich insights and automation. Backed by global threat intelligence, it provides real-time insights into emerging threats and vulnerabilities. The platform is designed to scale with enterprise needs, supporting hybrid and multi-cloud environments. It also offers managed services and expert support to augment internal security teams. Overall, TrendAI Vision One™ enables organizations to shift from reactive security practices to a proactive, intelligence-driven defense strategy.

ZeroLeaks is an advanced security platform powered by AI, tailored to help organizations identify and rectify vulnerabilities associated with exposed system prompts, internal tools, and logical errors that could facilitate prompt injection, data extraction, or other data leakage risks that endanger sensitive instructions and intellectual property. This platform includes an engaging dashboard that enables users to manually scan system prompts or automate the scanning process via CI/CD integrations, which helps in detecting leaks and injection vectors before code is deployed. Furthermore, it integrates an AI-driven red-team analysis engine that scrutinizes prompt areas for logical inconsistencies, extraction risks, and possible misuse, offering users evidence, scoring metrics, and practical remediation plans. Designed specifically for enterprise-level security concerning products that utilize large language models, ZeroLeaks provides comprehensive vulnerability assessments that detail the severity of prompt exposure, underscore critical risks, furnish proof of identified issues, and delineate access routes along with recommended solutions, such as reconfiguring prompts and restricting tool access. By utilizing ZeroLeaks, organizations can significantly enhance their security protocols and effectively protect their valuable intellectual assets from potential threats. Importantly, the platform not only aids in risk management but also fosters a culture of security awareness within the organization.

Imperva API Security offers robust protection for your APIs by employing an automated positive security model that detects vulnerabilities in applications to prevent potential exploitation. Organizations typically manage a minimum of 300 APIs, and Imperva fortifies your security infrastructure by automatically generating a positive security model for each uploaded API swagger file. The fast-paced growth of APIs frequently outstrips the capacity of security teams to evaluate and authorize them prior to their launch. With Imperva’s API Security solution, your teams can adopt a proactive approach in DevOps through the power of automation. This technology provides your strategy with pre-configured security rules designed specifically for your APIs, ensuring that you meet the OWASP API standards while gaining enhanced visibility into all security incidents associated with each API endpoint. By effortlessly uploading the OpenAPI specification file from your DevOps team, Imperva can effectively produce a positive security model, facilitating more efficient security management. This functionality not only streamlines the process of securing APIs but also allows organizations to devote more resources to innovation, all while ensuring strong protective measures remain in place. Ultimately, Imperva’s solution empowers teams to navigate the complexities of API security with confidence.

Scanner.dev is an innovative cloud-based security data lake and an efficient security information and event management (SIEM) platform that empowers users to directly index logs into their Amazon S3 storage, which allows for the retention of infinite logs while enabling full-text searches across extensive datasets in just seconds, all without requiring additional ETL processes or predefined schemas. Its agile indexing mechanism ensures that any log format can be made instantly searchable, along with offering swift search functionalities, continuous threat detection through customizable rules that can be treated as code via GitHub, and smooth alerting through APIs that facilitate automation and integration with existing security workflows. The platform features a streaming detection engine that evaluates rule queries almost in real time and is capable of backtesting detection logic using prior data to enhance accuracy. Additionally, its API and Model Context Protocol (MCP) not only grant programmatic access but also support AI-assisted assessments of security data, which significantly enriches the security analysis process. This comprehensive architecture equips organizations with the tools they need to adeptly manage and swiftly respond to security threats, ensuring both agility and precision in their defense strategies. In essence, Scanner.dev transforms how security data is handled, enabling organizations to stay one step ahead in the ever-evolving landscape of cybersecurity challenges.

Even the most sophisticated AI systems harbor hidden dangers that could disrupt their functioning. It is essential to identify and address these potential issues in advance to ensure smooth integration of AI and compliance with regulatory standards. As AI technologies evolve, they become more vulnerable to increasingly advanced attack methods. By taking a proactive approach, you can protect your models and applications from threats like data poisoning, prompt injection, and emerging vulnerabilities. Employ cutting-edge public AI solutions with confidence. Our offerings are crafted to encourage ethical practices and avert data breaches, enabling you to focus on fostering innovation without worry. The TROJAI security platform equips organizations to adhere to frameworks like OWASP AI and comply with privacy regulations by thoroughly testing models prior to deployment while safeguarding applications from risks such as the loss of sensitive information during use. By emphasizing these strategies, you can develop a more robust AI deployment plan that mitigates risks effectively. Ultimately, ensuring the security of AI systems not only protects data but also enhances trust in their applications.

Astra is a comprehensive API security testing platform that helps businesses discover, analyze, and secure every API in their network—documented or not. Designed for modern engineering and security teams, it automatically detects Shadow, Zombie, and Orphan APIs to eliminate blind spots across your entire infrastructure. Astra’s continuous discovery engine integrates with AWS, GCP, and on-prem environments to provide full visibility into API traffic, parameters, and data exposure risks. Its Dynamic Application Security Testing (DAST) engine scans APIs for over 10,000 known vulnerabilities, including OWASP Top 10, misconfigurations, and real-world CVEs. Beyond automation, Astra’s manual penetration testing by certified experts (OSCP, CEH, CRTP, PCI, AWS-certified) uncovers complex business logic vulnerabilities that scanners often miss. The Authorization Matrix module allows teams to visualize and correct access control flaws before they turn into breaches. Real-time dashboards and detailed remediation guides make it easy for teams to track progress and strengthen security posture. Astra integrates seamlessly with developer tools such as Postman, Burp Suite, GitHub, and CI/CD pipelines, enabling “shift-left” security across the software lifecycle. Built for scalability, it continuously learns from traffic and code changes to provide incremental testing after every API update. Trusted by over 1,000 engineering teams and top brands worldwide, Astra delivers continuous, agentic, and actionable API protection—helping organizations stay one step ahead of evolving threats.