Top Heeler Alternatives

Raven represents a cutting-edge runtime application security platform designed to protect cloud-native applications by operating internally during their execution, rather than relying solely on external security solutions. It delivers real-time insights into the code's actual performance, enabling it to grasp execution flows, libraries, and behaviors at a granular function level, which is crucial for detecting and preventing malicious actions before they can take effect. Unlike traditional tools such as Web Application Firewalls (WAF) or Endpoint Detection and Response (EDR) systems that monitor from an outside perspective, Raven is embedded within the application, empowering it to counteract exploits, supply chain threats, and zero-day vulnerabilities, even when there are no known threats or Common Vulnerabilities and Exposures (CVEs) present. The platform continuously monitors runtime activities, identifying unusual patterns or the misuse of legitimate operations, and quickly intervenes to stop harmful execution processes. Additionally, Raven assists security teams by filtering out numerous irrelevant vulnerabilities, enabling them to focus exclusively on those that genuinely pose a risk to the environment. This forward-thinking strategy not only bolsters security but also optimizes the entire security management process, ensuring that resources are utilized efficiently and effectively. By integrating seamlessly into existing workflows, Raven fosters a proactive security culture within organizations.

Enhancing Security Measures in Your DevOps Workflow Streamline the process of identifying and addressing vulnerabilities within your code through automation. Kiuwan Code Security adheres to the most rigorous security protocols, such as OWASP and CWE, and seamlessly integrates with leading DevOps tools while supporting a variety of programming languages. Both static application security testing and source code analysis are viable and cost-effective solutions suitable for teams of any size. Kiuwan delivers a comprehensive suite of essential features that can be incorporated into your existing development environment. Rapidly uncover vulnerabilities with a straightforward setup that enables you to scan your system and receive insights in just minutes. Adopting a DevOps-centric approach to code security, you can incorporate Kiuwan into your CI/CD/DevOps pipeline to automate your security measures effectively. Offering a variety of flexible licensing options, Kiuwan caters to diverse needs, including one-time scans and ongoing monitoring, along with On-Premise or SaaS deployment models, ensuring that every team can find a solution that fits their requirements perfectly.

Google AI Threat Defense is an autonomous cybersecurity platform engineered to help organizations defend against modern AI-powered cyber threats through continuous risk management, intelligent analysis, and automated remediation. Designed for complex enterprise environments, the platform combines the reasoning and analysis capabilities of Gemini and other advanced AI models with contextual risk prioritization from Wiz, code remediation technologies from Gemini and CodeMender, and the global threat intelligence expertise of Mandiant. The solution follows a structured four-stage security framework—Prepare, Scan, Remediate, and Monitor—that enables organizations to proactively identify, assess, and eliminate security risks before they can be exploited. In the preparation stage, the platform continuously maps multicloud, hybrid, SaaS, AI, and application environments to identify exposed attack paths, misconfigurations, shadow assets, legacy technologies, and ownership gaps. Advanced scanning capabilities perform deep code analysis, vulnerability validation, exploitability assessment, and AI-driven adversarial testing, providing security teams with contextual insights rather than large volumes of theoretical findings. Automated remediation workflows generate tailored fixes directly within developer environments, accelerate vulnerability resolution, and enable organizations to manage increasing volumes of AI-discovered security issues. Continuous monitoring capabilities leverage AI-powered detection, threat hunting, behavioral analysis, and automated security operations to identify hidden threats and respond rapidly to anomalous activity across networks, applications, identities, and software development pipelines.

ARTEMIS, developed by Repello AI, emulates potential attacks from cybercriminals to uncover weaknesses in your AI applications. It proactively detects and addresses security threats before they can be leveraged in operational settings, drawing from the largest collections of AI threat intelligence available globally. Key Features 1. Replicates actual attack scenarios targeting your AI systems 2. Identifies and maps vulnerabilities within your AI framework 3. Provides practical recommendations for mitigation 4. Adapts to evolving threats as AI applications expand. Created by security experts, ARTEMIS is designed to safeguard AI systems throughout the entire lifecycle, from initial development to deployment, ensuring robust protection against intrusions. By utilizing this tool, organizations can fortify their defenses and maintain the integrity of their AI technologies.

Codex Security is an AI-powered security agent developed by OpenAI to assist teams in identifying and resolving vulnerabilities within their software systems. The tool analyzes entire code repositories to understand how applications function and where potential risks may exist. By building a system-specific threat model, Codex Security gains deeper context about trusted components, external dependencies, and possible attack surfaces. This contextual understanding allows the system to detect complex vulnerabilities that traditional static analysis tools might miss. The platform prioritizes security findings based on their real-world impact rather than simply reporting large numbers of potential issues. Codex Security also validates vulnerabilities using sandbox environments to confirm whether the issues are exploitable. This validation process significantly reduces false positives and helps security teams focus on genuine threats. When vulnerabilities are discovered, the system recommends code patches that align with the architecture and intended behavior of the application. These suggested fixes help developers implement secure solutions without disrupting existing functionality. Codex Security can continuously learn from user feedback to refine its threat model and improve detection accuracy. The system is designed to operate across large codebases and analyze thousands of commits efficiently. Overall, Codex Security enables organizations to strengthen software security workflows while accelerating development and deployment processes.

Kubernetes, cloud, and container security solutions provide comprehensive coverage from inception to completion by identifying vulnerabilities and prioritizing them for action; they enable effective detection and response to threats and anomalies while managing configurations, permissions, and compliance. Users can monitor all activities across cloud environments, containers, and hosts seamlessly. By leveraging runtime intelligence, security alerts can be prioritized to remove uncertainty in threat responses. Additionally, guided remediation processes utilizing straightforward pull requests at the source significantly decrease resolution time. Monitoring extends to any activity across applications or services, regardless of the user or platform. Risk Spotlight enhances security by reducing vulnerability notifications by up to 95% with relevant runtime context, while the ToDo feature allows for the prioritization of the most pressing security concerns. Furthermore, it is essential to map production misconfigurations and excessive privileges back to infrastructure as code (IaC) manifests, ensuring a robust security posture in deployment. With a guided remediation workflow, initiating a pull request directly at the source not only streamlines the process but also fosters accountability in addressing vulnerabilities.

Reclaim Security is an innovative cybersecurity platform that leverages artificial intelligence to autonomously identify and fix security vulnerabilities within an organization’s existing security infrastructure and tools. Instead of just spotting issues or generating alerts, it focuses on automated remediation, allowing security teams to effectively manage misconfigurations, enforce security policies, and reduce risks with minimal manual intervention. The platform performs comprehensive scans of the organization's security systems, including cloud services, identity management solutions, endpoint protection measures, and other defenses, to detect flaws, misconfigurations, or ineffective controls that might be exploited by cyber attackers. Once vulnerabilities are uncovered, the platform assesses them against real threat tactics and ranks the most pressing issues based on their potential impact. After this evaluation, it recommends suitable remediation actions and has the capability to implement these changes automatically, pending approval, ensuring that security settings are continually updated and fortified against possible breaches. By optimizing the remediation workflow, Reclaim Security significantly strengthens an organization’s overall security posture. This holistic approach not only protects the organization but also fosters a proactive security culture among team members.

Gray Swan is an all-encompassing platform for AI security and assessment that is crafted to enable organizations to confidently deploy AI solutions while protecting LLM applications, agents, and model implementations from constantly evolving threats, policy violations, and dangerous content. It offers seamless integration with any LLM provider, allowing for enhanced security protocols without disrupting current workflows, and it incorporates automated adversarial testing, continuous red teaming, runtime monitoring, and adaptive defense mechanisms. By utilizing threat intelligence gathered from over 15,000 adversarial researchers and more than three million simulated attack scenarios produced through its Arena, Gray Swan not only identifies known risks but also assists teams in uncovering vulnerabilities before they are recorded in public threat databases. Among its key features are Shade, an innovative AI vulnerability assessment tool that operates continuously to evaluate LLMs as if managed by a dedicated security expert, and Cygnal, which serves as a protective barrier for real-time AI interactions and oversight. These advanced tools empower organizations to not only anticipate but also effectively manage potential risks tied to their AI implementations, fostering a safer deployment environment. Ultimately, Gray Swan equips organizations with the necessary resources to stay ahead in an increasingly complex security landscape.

Depthfirst is a sophisticated application security platform developed to assist organizations in the detection, prioritization, and resolution of software vulnerabilities by comprehensively analyzing their code, infrastructure, and business logic as an interconnected system. At the heart of Depthfirst lies its "General Security Intelligence," which performs in-depth evaluations of entire repositories and operational environments, uncovering intricate, real-world vulnerabilities that traditional scanners often miss. By examining full attack paths, permissions, and data flows, it effectively assesses the exploitability of various issues, thereby reducing false positive rates and allowing teams to focus on significant threats. Furthermore, Depthfirst operates across multiple layers of the technology stack, encompassing source code, dependencies, secrets, containers, and live applications, thereby ensuring robust security during both development and production stages. This comprehensive method not only boosts the effectiveness of security measures but also simplifies the remediation process for development teams, enabling a more efficient response to vulnerabilities. Ultimately, Depthfirst's approach fosters a culture of proactive security within organizations, ensuring that they remain resilient against evolving threats.

GitHub Advanced Security enables developers and security experts to work together efficiently in tackling existing security issues and preventing new vulnerabilities from infiltrating code through a suite of features like AI-driven remediation, static analysis, secret scanning, and software composition analysis. By utilizing Copilot Autofix, vulnerabilities are detected through code scanning, which provides contextual insights and suggests fixes within pull requests as well as for previously flagged alerts, enhancing the team's capacity to manage their security liabilities. Furthermore, targeted security initiatives can implement autofixes for as many as 1,000 alerts at once, significantly reducing the risk of application vulnerabilities and zero-day exploits. The secret scanning capability, which includes push protection, secures over 200 different token types and patterns from a wide range of more than 150 service providers, effectively identifying elusive secrets such as passwords and personally identifiable information. Supported by a vast community of over 100 million developers and security professionals, GitHub Advanced Security equips teams with the automation and insights needed to deliver more secure software promptly, thereby promoting increased confidence in the applications they develop. This holistic strategy not only bolsters security but also enhances workflow efficiency, making it simpler for teams to identify and tackle potential threats, ultimately leading to a more robust security posture within their software development lifecycle.

TrojAI is an enterprise AI security platform designed to help organizations safely develop, deploy, and scale AI applications, large language models, and autonomous AI agents. As AI systems become increasingly integrated into business processes, the platform provides specialized security capabilities that address risks unique to AI-driven environments. TrojAI helps organizations identify vulnerabilities during development through advanced testing, validation, and risk assessment processes that uncover weaknesses before deployment. The platform is designed to detect threats such as prompt injection attacks, jailbreak attempts, data leakage, sensitive information exposure, and malicious agent manipulation. Runtime protection capabilities continuously monitor AI interactions, agent actions, and system behavior to identify and prevent security incidents in real time. TrojAI Defend protects operational AI applications by enforcing security policies and detecting anomalous activity across enterprise environments. TrojAI Detect focuses on securing AI models during the build phase, helping organizations strengthen defenses before applications reach production. Compliance and governance features assist organizations in aligning AI deployments with industry-recognized standards and security frameworks. The platform supports deployment across multiple cloud providers, AI models, enterprise systems, and self-hosted environments, providing flexibility for diverse infrastructure requirements. Built for large-scale enterprise operations, TrojAI delivers scalability, customization, and performance while maintaining strong security oversight. By combining AI-specific threat detection, proactive risk assessment, compliance support, and continuous protection, TrojAI helps organizations confidently adopt and expand their AI initiatives.

Mondoo functions as an all-encompassing platform dedicated to security and compliance, with the goal of significantly reducing key vulnerabilities in organizations by integrating thorough asset visibility, risk analysis, and proactive measures for remediation. It maintains an extensive inventory of various asset types, such as cloud services, on-premises systems, SaaS applications, endpoints, network devices, and developer pipelines, while continuously assessing their configurations, vulnerabilities, and relationships. By taking into account business relevance—like the significance of an asset, possible exploitation risks, and deviations from set policies—it effectively scores and highlights the most urgent threats. Users are given the choice for guided remediation using pre-tested code snippets and playbooks, or they may opt for automated remediation through orchestration pipelines, which include features for tracking, ticket generation, and verification. Furthermore, Mondoo supports the integration of third-party findings, operates seamlessly with DevSecOps toolchains, including CI/CD, Infrastructure as Code (IaC), and container registries, and offers over 300 compliance frameworks and benchmark templates for a comprehensive approach to security. Its powerful features not only bolster organizational resilience but also simplify compliance processes, making it an essential tool for tackling modern security challenges while ensuring that businesses can maintain a robust security posture. Ultimately, Mondoo stands out as a vital resource in navigating the complexities of today's security landscape.

Rezilion’s Dynamic SBOM facilitates the automatic identification, prioritization, and remediation of software vulnerabilities, empowering teams to focus on essential tasks while efficiently mitigating risks. In a rapidly evolving landscape, why sacrifice security for speed when you can seamlessly attain both objectives? As a platform dedicated to managing software attack surfaces, Rezilion guarantees that the software provided to clients is inherently secure, ultimately granting teams the freedom to innovate. Unlike many other security solutions that tend to increase your workload in terms of remediation, Rezilion works to actively reduce your backlog of vulnerabilities. It functions throughout your complete stack, offering visibility into all software components present in your environment, identifying which are vulnerable, and highlighting those that are genuinely exploitable, allowing for effective prioritization and automation of remediation processes. With the capability to quickly generate a precise inventory of all software components in your environment, you can leverage runtime analysis to differentiate between threats that are serious and those that are not, thereby improving your overall security stance. By utilizing Rezilion, you can advance your development efforts with confidence while ensuring that strong security measures are firmly in place. This approach not only safeguards your systems but also fosters a culture of proactive risk management within your organization.

Regularly assess and address vulnerabilities associated with AI data, models, and application usage utilizing IBM Guardium AI Security, which offers continuous and automated monitoring for AI deployments. The platform detects security weaknesses and configuration errors while overseeing the security interactions among users, models, data, and applications. This capability is part of the IBM Guardium Data Security Center, which aims to improve collaboration between security and AI teams by providing streamlined workflows, a consolidated view of data assets, and centralized compliance guidelines. Guardium AI Security pinpoints the specific AI model associated with each deployment, detailing the interactions among data, models, and applications involved. Moreover, it reveals all applications that interact with the model, enabling users to evaluate vulnerabilities in the model, its underlying data, and the applications involved. Each identified vulnerability is assigned a criticality score, which aids in the efficient prioritization of remediation actions. Additionally, users have the capability to export the list of vulnerabilities for detailed reporting, ensuring that all relevant stakeholders are kept informed and coordinated on security initiatives. This proactive strategy not only fortifies security measures but also cultivates a culture of vigilance and proactive response within the organization, ultimately enhancing overall resilience against potential threats.

Andesite is committed to improving the performance and efficiency of cybersecurity teams. By leveraging advanced AI technology, it accelerates the decision-making process related to cyber threats by quickly converting scattered data into actionable insights. This advancement allows cyber defenders and analysts to rapidly detect threats and vulnerabilities, optimize resource management, and react to incidents, thereby enhancing security and reducing costs. With a dedicated team that is passionate about assisting analysts, Andesite's mission centers on empowering these professionals while lightening their workload. In pursuit of these objectives, Andesite seeks to transform the cyber defense landscape, helping teams effectively navigate the intricate challenges posed by contemporary threats. Ultimately, the aim is to create a more resilient cybersecurity environment for all organizations.

Terra offers an innovative service for ongoing web application penetration testing that combines the capabilities of agentic-AI with human expert oversight, ensuring thorough security evaluations tailored to the business context. Unlike conventional methods that rely on infrequent assessments, this solution continuously evaluates the entire attack surface of an organization, adapting to any changes in real time. As new features are launched or existing ones are updated, Terra quickly identifies vulnerabilities, eliminating the delays associated with quarterly or annual assessments. The detailed reports generated are designed to fulfill compliance audit requirements, providing insights into exploitability, likelihood of attacks, potential breaches, and their impacts on the business, along with practical recommendations for remediation. By focusing on risks unique to the client's operational environment and risk profile, the service significantly enhances visibility across all applications and features. This shift leads to improved efficiency and accuracy compared to traditional automated penetration testing methods, ultimately strengthening the overall security posture for users. Furthermore, the continuous assessment approach allows organizations to proactively address and adapt to the dynamic threat landscape, ensuring they remain one step ahead of potential security challenges. With Terra, businesses can cultivate a culture of security that evolves alongside their digital assets.

GPT-5.4-Cyber is a specialized version of GPT-5.4 designed to bolster defensive cybersecurity efforts, allowing security professionals to more effectively analyze, discover, and rectify vulnerabilities. This model has been optimized to lessen limitations on legitimate security activities, encouraging deeper engagement in critical areas like vulnerability research, exploit analysis, and secure code evaluations that are typically constrained in conventional models. A key feature of this variant is its capability for binary reverse engineering, which allows for the inspection of compiled software without requiring access to the original source code, aiding in the detection of potential malware, vulnerabilities, and assessing system strength. Additionally, it functions within OpenAI’s Trusted Access for Cyber (TAC) framework, which provides its advanced capabilities through an organized access system that necessitates identity verification and levels of trust, ensuring that only vetted defenders, researchers, and organizations can utilize its most advanced features. This strategic approach not only strengthens overall security protocols but also promotes collaboration among cybersecurity experts, enhancing the collective defense against cyber threats. Ultimately, such innovations are essential in keeping pace with the evolving landscape of cybersecurity.

Enterprise vulnerability management software is crucial for maintaining security, and Vulnerability Manager Plus serves as a comprehensive solution that unifies threat management by enabling thorough vulnerability scanning, assessment, and remediation for all network endpoints through a single interface. This tool allows users to identify vulnerabilities across both remote and local office endpoints as well as mobile devices. By utilizing attacker-based analytics, it pinpoints the areas at highest risk of exploitation. This proactive approach helps mitigate potential security gaps within the network while also preventing the emergence of new vulnerabilities. Users can prioritize issues based on a variety of factors including severity, age, number of impacted systems, and the readiness of fixes. Furthermore, the software includes an integrated patch management module that allows for the downloading, testing, and automatic deployment of patches across Windows, Mac, Linux, and over 250 third-party applications, all at no extra cost. Additionally, by streamlining the patching process, organizations can enhance their overall security posture more efficiently.

General Analysis is an advanced AI security platform meticulously crafted to assist security teams in testing, monitoring, and protecting AI agents and systems that are currently in operation. Its main goal is to help organizations understand AI-related vulnerabilities, prevent incidents, and ensure the safety of a variety of real-world AI applications including employee assistants, coding tools, customer service solutions, healthcare support, legal aids, financial advisors, and creative processes. By thoroughly mapping AI applications and agents across a wide array of parameters such as prompts, retrieval techniques, tools, MCP servers, browser interactions, permissions, repositories, cloud accounts, SaaS workflows, and business operations, it effectively detects context-sensitive attacks that expose weaknesses in the system. The platform’s automated red teaming utilizes dynamic attacker models that adapt to the behaviors of their targets, crafting intricate multi-step exploit chains that equip security teams with the capability to identify vulnerabilities that conventional static testing methods might miss. In essence, General Analysis not only strengthens an organization's AI security framework but also assures that their AI implementations remain robust and agile against continuously evolving threats. By fostering a proactive security approach, it enables firms to stay ahead of potential adversarial challenges in the rapidly changing technological landscape.

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.

AQtive Guard is an all-encompassing cybersecurity solution aimed at helping organizations protect and manage their cryptographic assets along with non-human identities (NHIs), which include AI agents, keys, certificates, algorithms, and machine identities, across their entire IT infrastructure. The platform ensures continuous discovery and instant visibility into both NHIs and cryptographic components, effortlessly collaborating with existing security tools, cloud services, and repositories to provide a unified view of security health. Utilizing advanced AI and robust quantitative models, AQtive Guard assesses vulnerabilities, prioritizes risks, and offers actionable insights through automated remediation workflows that tackle issues and maintain policies like credential rotation and certificate renewal. Additionally, the platform guarantees adherence to the latest standards, such as newly emerging NIST cryptographic protocols, while also supporting the lifecycle management of cryptographic assets to reduce risks stemming from both current and future threats. This approach not only strengthens security measures but also significantly boosts the organization’s capacity to withstand the dynamic landscape of cyber threats. Ultimately, AQtive Guard empowers organizations to stay one step ahead in an ever-evolving digital world.

AgileBlue is a cutting-edge Security Operations platform that leverages AI technology to continuously monitor, analyze, and autonomously mitigate cyber threats across an organization’s entire digital landscape, which encompasses endpoints, cloud services, and networks. By fusing AI-driven decision-making with 24/7 expert support, it effectively reduces false alarms, accelerates the investigation process, and safeguards business operations against potential attacks. The platform boasts a wide array of vital modules, including a sophisticated SIEM that delivers correlated and contextual insights into threats, automated vulnerability scanning to uncover risks before exploitation, and a cloud security feature that maintains oversight across various cloud services while actively identifying misconfigurations. Furthermore, Sapphire AI improves real-time threat prioritization by learning and adapting to every incoming signal, significantly decreasing false positives and alert fatigue. AgileBlue's efficient Cerulean agent ensures instant endpoint visibility without compromising system performance, allowing organizations to function seamlessly while upholding a robust security stance. This innovative strategy not only equips businesses to proactively tackle emerging cyber threats but also enhances the efficient utilization of their security resources. By focusing on adaptability and precision, AgileBlue positions itself as a leader in the realm of cybersecurity.

Lasso is a comprehensive AI security platform created to help enterprises manage, govern, and secure AI applications and autonomous agents throughout their operational lifecycle. As organizations increasingly deploy generative AI and agentic technologies, the platform provides centralized oversight and protection for rapidly growing AI ecosystems. Lasso begins with AI discovery and inventory capabilities that identify AI agents, applications, models, prompts, tools, and security controls across the enterprise. Its AI Bill of Materials (AI-BOM) functionality helps organizations maintain a detailed understanding of their AI assets and dependencies. Automated AI security posture management capabilities assess configurations, identify weaknesses, and support ongoing governance efforts. The platform’s red teaming engine continuously evaluates AI systems against thousands of attack techniques and adversarial scenarios to uncover vulnerabilities before they impact production environments. Runtime enforcement features monitor AI interactions in real time, helping organizations enforce policies and prevent unsafe or unauthorized behavior. Intent-based security analysis enables Lasso to evaluate the purpose and context of AI actions rather than relying exclusively on static detection methods. AI detection and response capabilities provide security teams with actionable insights, investigation tools, and threat monitoring across AI environments. Designed for enterprise deployment, the platform emphasizes scalability, accuracy, cost efficiency, and rapid response to evolving AI risks. By integrating discovery, governance, testing, monitoring, and protection into a unified platform, Lasso helps organizations accelerate AI adoption while maintaining security, compliance, and operational confidence.

Check Point Exposure Management is an advanced exposure management platform that enables organizations to proactively reduce cyber risk by continuously identifying, prioritizing, validating, and remediating security exposures across their environments. Designed around the principles of Continuous Threat Exposure Management (CTEM), the solution helps security teams move beyond traditional vulnerability management by focusing on real-world exploitability, attacker behavior, and measurable risk reduction. The platform consolidates exposure signals from across the security ecosystem, including vulnerabilities, misconfigurations, attack surface exposures, leaked credentials, threat intelligence, external attack indicators, and security telemetry. Through AI-driven analysis and contextual correlation, it identifies which exposures are actively targeted, reachable, exploitable, and most likely to impact business operations. Advanced threat intelligence capabilities provide visibility into deep and dark web activity, threat actor campaigns, phishing infrastructure, brand abuse, and emerging attack trends, allowing organizations to understand how adversaries may target their environments. The platform prioritizes remediation activities using exploitability, business impact, security control effectiveness, and environmental context to create actionable remediation plans that maximize risk reduction. Automated validation and safe remediation workflows help organizations implement corrective actions such as virtual patching, vulnerability mitigation, configuration hardening, indicator dissemination, takedown operations, and exposure containment without introducing operational disruption. With agentless architecture and broad integration support for Check Point and third-party technologies, the platform enables collaboration across security operations, infrastructure security, vulnerability management, risk management, and executive leadership teams.

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.

Amplify Security is an AI-driven software security platform designed to seamlessly integrate into development workflows, enabling the automatic identification, evaluation, and resolution of security vulnerabilities in code with minimal manual effort. By connecting to repositories on platforms like GitHub and GitLab, it conducts continuous scans of code, flagging security issues directly within pull or merge requests and offering deployment-ready fixes that developers can apply with a single click. The platform employs a dual-agent AI system, where one agent prioritizes security risks while the other focuses on solutions that are user-friendly for developers, providing clear and actionable recommendations for remediation that adhere to contemporary coding standards and reduce the communication gap between security and development teams. By automating traditionally slow and labor-intensive tasks associated with vulnerability management, Amplify Security seeks to dramatically reduce false positives and empower teams to address security challenges within minutes instead of taking months to resolve. This transformative approach not only optimizes the development process but also significantly strengthens code security, establishing itself as an essential resource for contemporary software development teams. Furthermore, its ability to integrate security measures directly into the coding process fosters a culture of security awareness among developers, enhancing their ability to write secure code from the outset.

Arambh Labs is redefining cybersecurity through agentic AI, a paradigm that empowers organizations to shift from reactive responses to proactive, autonomous defense strategies. At its core is a swarm of specialized AI agents, each designed to mirror real-world security roles: Byte rapidly responds to alerts, Rook plans long-term detection strategies, Echo hunts hidden threats, and Talon gathers intelligence from the deep and dark web. These agents collaborate seamlessly to provide continuous, adaptive protection, ensuring no critical signal goes unnoticed. Unlike traditional tools that overwhelm teams with thousands of alerts, Arambh Labs contextualizes and prioritizes risks, enabling security professionals to focus on the handful of incidents that could have the most impact. Its agentic remediation capability executes responses automatically, neutralizing threats and patching vulnerabilities at machine speed without waiting for human intervention. This approach has delivered measurable results, such as reducing incident response times by 85% and eliminating inefficiencies caused by alert fatigue. Built by a team of ex-Googlers and Fortinet veterans with multiple security automation patents, Arambh Labs combines deep technical expertise with enterprise-grade scalability. The platform integrates with more than 100 tools across identity, data, network, endpoint, and cloud domains, making it adaptable to any existing stack. Supporting both SaaS and on-premises deployments, it provides the flexibility that modern enterprises demand. With trusted adoption across Fortune 500 companies, MSSPs, and high-growth startups, Arambh Labs is emerging as the intelligent command center for future-ready security operations.

Straiker is a cutting-edge security solution meticulously crafted to protect enterprise AI applications and autonomous agents, specifically targeting the new risks introduced by "agentic AI" systems that interact with a multitude of tools, APIs, and sensitive data. By providing extensive visibility and management across the complete AI stack, it scrutinizes behavioral signals from models, prompts, tools, identities, and infrastructure, enabling swift identification and mitigation of AI-specific risks such as prompt injection, privilege escalation, data exfiltration, and tool misuse. The platform seamlessly incorporates continuous discovery, adversarial testing, and runtime safeguarding through vital components like Discover AI, Ascend AI, and Defend AI, which collaborate to recognize all active agents, simulate possible attacks to uncover vulnerabilities, and enforce real-time protective measures during operation. Its complex, layered architecture captures deep contextual signals from user interactions, network behavior, and agent workflows, thereby ensuring a formidable defense against constantly evolving threats. As advancements in AI technologies progress at an unprecedented rate, the demand for such specialized security measures will only grow, making them essential for enterprises striving to thrive in this intricate environment. Ultimately, the proactive approach of platforms like Straiker is crucial in maintaining the integrity and safety of AI-driven operations.

Stay informed about new risks with our real-time, intelligently curated threat intelligence. Identify and prioritize potential hazards up to three months ahead of conventional scanning solutions, which eliminates the necessity for repetitive scans or additional agents. Utilize Attenu8, our AI-powered platform, to concentrate on the most pressing threats. Shield your DevOps pipeline from vulnerabilities in open source, malware, code secrets, and configuration issues. Protect your infrastructure, network, IoT devices, and other assets by modeling them as virtual entities. Effortlessly discover and manage your assets using an intuitive open-source CLI. Decentralize your security measures with immediate notifications. Easily integrate with platforms like MSTeams, Slack, JIRA, ServiceNow, and others through our comprehensive API and SDK. Maintain a competitive advantage by keeping abreast of new malware, vulnerabilities, exploits, patches, and remediation strategies in real-time, all driven by our sophisticated AI and machine-curated threat intelligence. Our solutions empower your organization to achieve robust security across all its digital assets, ensuring a resilient defense against evolving threats. By leveraging these tools, you can better protect your operations and maintain business continuity in an increasingly complex digital landscape.

Protect AI offers thorough security evaluations throughout the entire machine learning lifecycle, guaranteeing that both your AI applications and models maintain security and compliance. Understanding the unique vulnerabilities inherent in AI and ML systems is essential for enterprises, as they must act quickly to mitigate potential risks at any stage of the lifecycle. Our services provide improved threat visibility, thorough security testing, and strong remediation plans. Jupyter Notebooks are crucial for data scientists, allowing them to navigate datasets, create models, evaluate experiments, and share insights with peers. These notebooks integrate live code, visualizations, data, and descriptive text; however, they also come with various security risks that current cybersecurity solutions may overlook. NB Defense is a free tool that efficiently scans individual notebooks or entire repositories to identify common security weaknesses, highlight issues, and offer recommendations for effective resolution. Employing such tools enables organizations to significantly bolster their overall security posture while capitalizing on the robust functionalities of Jupyter Notebooks. Furthermore, by addressing these vulnerabilities proactively, companies can foster a safer environment for innovation and collaboration within their teams.