Alternatives to Heeler

Raven is an innovative runtime application security platform that safeguards cloud-native applications by functioning internally during execution instead of depending on external security measures. By providing real-time insights into the actual operation of code, it can comprehend execution flows, libraries, and behaviors at the function level, which aids in identifying and averting malicious activities before they manifest. In contrast to conventional tools like WAF or EDR that observe from an external viewpoint, Raven integrates within the application itself, thus equipping it to thwart exploits, supply chain attacks, and zero-day vulnerabilities even in the absence of known threats or CVEs. It perpetually scrutinizes runtime activities, detects irregular patterns, or misuse of legitimate operations, and promptly intervenes to halt harmful executions. Furthermore, Raven aids security teams in prioritizing their efforts by sifting through countless irrelevant vulnerabilities, allowing them to concentrate solely on those that pose a genuine risk. This proactive approach not only enhances security but also streamlines the overall security management process, ensuring that resources are allocated effectively.

Security Solutions for Your DevOps Process Automate scanning your code to find and fix vulnerabilities. Kiuwan Code Security is compliant with the strictest security standards, such OWASP or CWE. It integrates with top DevOps tools and covers all important languages. Static application security testing and source analysis are both effective, and affordable solutions for all sizes of teams. Kiuwan provides a wide range of essential functionality that can be integrated into your internal development infrastructure. Quick vulnerability detection: Simple and quick setup. You can scan your area and receive results in minutes. DevOps Approach to Code Security: Integrate Kiuwan into your Ci/CD/DevOps Pipeline to automate your security process. Flexible Licensing Options. There are many options. One-time scans and continuous scanning. Kiuwan also offers On-Premise or Saas models.

Google AI Threat Defense is a comprehensive AI-driven security platform that empowers organizations to outpace increasingly sophisticated cyber threats through intelligent risk detection, prioritization, remediation, and continuous monitoring. The solution combines advanced AI technologies, including Gemini and other frontier models, with Wiz’s contextual risk prioritization, CodeMender’s remediation capabilities, and Mandiant’s threat intelligence expertise to create an autonomous security framework capable of operating at machine speed. Through its Prepare phase, organizations gain deep visibility into multicloud, SaaS, AI, and hybrid environments by identifying attack paths, shadow assets, exposed services, and ownership gaps. The Scan phase uses AI-powered analysis and adversarial testing to validate vulnerabilities, analyze codebases, enrich findings with runtime context, and generate actionable response plans. During Remediation, the platform accelerates issue resolution by generating environment-specific code fixes directly within developer workflows while supporting large-scale vulnerability management and automated triage. The Monitor phase provides machine-speed detection and response capabilities, leveraging AI-driven monitoring, threat detection, and security operations automation to identify and respond to emerging threats across infrastructure, applications, identities, and networks. By integrating visibility, intelligence, automation, and remediation into a unified platform, Google AI Threat Defense helps organizations strengthen cybersecurity posture, reduce risk exposure, and respond more effectively to evolving attack techniques.

ARTEMIS, developed by Repello AI, proactively seeks out vulnerabilities in your AI applications by mimicking the tactics employed by cybercriminals. By conducting thorough tests, ARTEMIS identifies and assists in addressing security threats before they can be leveraged in live environments, drawing on the largest collection of AI-focused threat intelligence available. Key Features: 1. Replicates genuine attack scenarios against your AI systems. 2. Identifies vulnerabilities throughout your AI architecture. 3. Offers practical recommendations for mitigation. 4. Evolves in response to new threats as your AI applications expand. Created by security experts, ARTEMIS is designed to safeguard AI from potential breaches. It is crucial to implement robust security measures early in the development phase and maintain them through the deployment process, ensuring ongoing protection against emerging threats.

Codex Security is an AI-driven application security tool designed to identify vulnerabilities within software projects and provide reliable fixes. Built on OpenAI’s advanced models and the Codex agent framework, the system analyzes code repositories to develop a detailed understanding of a project’s architecture and security posture. It generates a customizable threat model that helps guide the vulnerability detection process. Using this context, Codex Security scans the codebase to identify potential security weaknesses and prioritize them based on their actual risk. The system performs automated validation to verify vulnerabilities and reduce the number of false positives typically produced by traditional security scanners. When issues are confirmed, it generates recommended patches that align with the surrounding code and intended system behavior. This approach helps developers address security problems without introducing unintended regressions. Codex Security also learns from user feedback to improve its detection accuracy over time. The platform is designed to operate at scale and analyze large volumes of commits across repositories. Overall, Codex Security helps development and security teams strengthen application security while reducing manual triage and review workloads.

Kubernetes, cloud, and container security that closes loop from source to finish Find vulnerabilities and prioritize them; detect and respond appropriately to threats and anomalies; manage configurations, permissions and compliance. All activity across cloud, containers, and hosts can be viewed. Runtime intelligence can be used to prioritize security alerts, and eliminate guesswork. Guided remediation using a simple pull request at source can reduce time to resolution. Any activity in any app or service, by any user, across clouds, containers and hosts, can be viewed. Risk Spotlight can reduce vulnerability noise by up 95% with runtime context. ToDo allows you to prioritize the security issues that are most urgent. Map production misconfigurations and excessive privileges to infrastructure as code (IaC), manifest. A guided remediation workflow opens a pull request directly at source.

Reclaim Security is an advanced cybersecurity platform powered by artificial intelligence, designed to autonomously detect and rectify security vulnerabilities within an organization’s current security framework and tools. Rather than merely identifying weaknesses or sending out alerts, it emphasizes automated remediation, enabling security teams to efficiently address misconfigurations, apply security policies, and mitigate risks with minimal manual effort. The platform conducts thorough scans of the organization’s security apparatus, encompassing cloud services, identity management systems, endpoint protection mechanisms, and other defensive measures to uncover deficiencies, poorly configured settings, or ineffective controls that could be targeted by cybercriminals. When vulnerabilities are identified, it evaluates them against real-world attack methodologies and prioritizes the most critical threats. Following this assessment, it suggests appropriate remediation strategies and can automatically implement those adjustments once approved, ensuring that security configurations are consistently optimized and resilient against potential attacks. By streamlining the remediation process, Reclaim Security enhances the overall security posture of an organization.

Gray Swan is a comprehensive AI security and evaluation platform designed to empower organizations to implement AI solutions confidently while safeguarding LLM applications, agents, and model deployments against evolving threats, policy breaches, and harmful content. It seamlessly integrates with any LLM provider, enhancing security measures without interrupting existing workflows, and combines automated adversarial testing, ongoing red teaming, runtime supervision, and adaptive defenses. By leveraging threat intelligence from over 15,000 adversarial researchers and more than three million simulated attack attempts generated through its Arena, Gray Swan goes beyond merely identifying known threats to help teams uncover vulnerabilities prior to their documentation in public databases. Its primary offerings include Shade, a cutting-edge AI vulnerability assessment platform that continuously evaluates LLMs akin to a dedicated security researcher operating around the clock, and Cygnal, which acts as a protective layer for real-time AI interactions and monitoring. With these tools, organizations can proactively anticipate and mitigate risks associated with AI deployments.

Depthfirst is an advanced application security platform specifically designed to aid organizations in identifying, prioritizing, and addressing software vulnerabilities by thoroughly understanding their code, infrastructure, and business logic as an integrated system. Central to depthfirst is its "General Security Intelligence," which conducts comprehensive analyses of entire repositories and environments to reveal how systems operate in reality, thus identifying intricate, real-world vulnerabilities that conventional scanners frequently overlook. By assessing complete attack paths, permissions, and data flows, it accurately determines the exploitability of issues, thereby significantly lowering false positive rates and enabling teams to concentrate on substantial risks. Additionally, depthfirst functions across various layers of the technology stack, which includes source code, dependencies, secrets, containers, and live applications, ensuring ongoing security throughout both development and production phases. This holistic approach not only enhances security effectiveness but also streamlines the remediation process for development teams.

GitHub Advanced Security empowers developers and security professionals to collaborate effectively in addressing security debt while preventing new vulnerabilities from entering code through features such as AI-driven remediation, static analysis, secret scanning, and software composition analysis. With Copilot Autofix, code scanning identifies vulnerabilities, offers contextual insights, and proposes solutions within pull requests as well as for past alerts, allowing teams to manage their application security debt more efficiently. Additionally, targeted security campaigns can produce autofixes for up to 1,000 alerts simultaneously, significantly lowering the susceptibility to application vulnerabilities and zero-day exploits. The secret scanning feature, equipped with push protection, safeguards over 200 types of tokens and patterns from a diverse array of more than 150 service providers, including hard-to-detect secrets like passwords and personally identifiable information. Backed by a community of over 100 million developers and security experts, GitHub Advanced Security delivers the necessary automation and insights to help teams release more secure software on time, ultimately fostering greater trust in the applications they build. This comprehensive approach not only enhances security but also streamlines workflows, making it easier for teams to prioritize and address potential threats.

TrojAI is a comprehensive AI security solution built to address the unique risks associated with generative AI, large language models, and autonomous AI agents. The platform helps organizations identify, assess, and mitigate vulnerabilities before AI systems are deployed into production environments. Through its security testing capabilities, TrojAI uncovers weaknesses that could lead to prompt injection, data leakage, jailbreak attacks, tool misuse, or unauthorized behavior. Runtime protection features continuously monitor AI applications and agent activities to detect and block threats as they occur. The platform also helps organizations align with security frameworks such as OWASP, NIST, and MITRE, simplifying governance and compliance initiatives. TrojAI Detect focuses on securing AI models during development and testing phases, helping teams strengthen models before release. TrojAI Defend provides real-time protection for deployed AI systems, reducing the risk of operational disruptions and security incidents. Flexible deployment options allow organizations to integrate the platform into cloud, hybrid, or self-hosted environments while maintaining control over sensitive data. By combining proactive testing with continuous monitoring, TrojAI helps enterprises build and operate secure AI ecosystems.

Mondoo serves as a comprehensive platform for security and compliance, aiming to significantly mitigate critical vulnerabilities within businesses by merging complete asset visibility, risk assessment, and proactive remediation. It catalogs a thorough inventory of all types of assets, including cloud services, on-premises systems, SaaS applications, endpoints, network devices, and developer pipelines, while consistently evaluating their configurations, vulnerabilities, and interrelations. By incorporating business relevance, such as the importance of an asset, potential exploitation risks, and deviations from established policies, it effectively scores and identifies the most pressing threats. Users are provided with options for guided remediation through pre-tested code snippets and playbooks, or they can opt for autonomous remediation facilitated by orchestration pipelines, which include features for tracking, ticket generation, and verification. Additionally, Mondoo allows for the integration of third-party findings, works seamlessly with DevSecOps toolchains including CI/CD, Infrastructure as Code (IaC), and container registries, and boasts over 300 compliance frameworks and benchmark templates to ensure a thorough approach to security. Its robust functionality not only enhances organizational resilience but also streamlines compliance processes, offering a holistic solution for modern security challenges.

Rezilion’s Dynamic SBOM enables the automatic detection, prioritization, and remediation of software vulnerabilities, allowing teams to concentrate on what truly matters while swiftly eliminating risks. In a fast-paced environment, why compromise on security for the sake of speed when you can effectively achieve both? As a software attack surface management platform, Rezilion ensures that the software delivered to customers is automatically secured, ultimately providing teams with the time needed to innovate. Unlike other security solutions that often add to your remediation workload, Rezilion actively decreases your vulnerability backlogs. It operates across your entire stack, giving you insight into which software components are present in your environment, identifying those that are vulnerable, and pinpointing which ones are truly exploitable, enabling you to prioritize effectively and automate remediation processes. You can quickly compile an accurate inventory of all software components in your environment, and through runtime analysis, discern which vulnerabilities pose real threats and which do not, enhancing your overall security posture. With Rezilion, you can confidently focus on development while maintaining robust security measures.

Consistently monitor and remediate vulnerabilities within AI data, models, and application usage using IBM Guardium AI Security, which provides automated and ongoing surveillance for AI implementations. The system identifies security flaws and misconfigurations while managing the security dynamics between users, models, data, and applications. This functionality is integrated within the IBM Guardium Data Security Center, designed to enhance collaboration between security and AI teams through streamlined workflows, a unified overview of data assets, and centralized compliance regulations. Guardium AI Security identifies the specific AI model linked to each deployment, revealing the data, model, and application interactions involved. Additionally, it displays all applications that access the model, allowing users to assess vulnerabilities in the model, its foundational data, and the interacting applications. Each identified vulnerability is given a criticality score, enabling effective prioritization of remediation efforts. Furthermore, users can easily export the vulnerability list for comprehensive reporting, ensuring that all necessary stakeholders are informed and aligned on security efforts. This proactive approach not only strengthens security but also fosters a culture of awareness and responsiveness within the organization.

Andesite aims to enhance the effectiveness and efficiency of cyber defense teams through its innovative AI-driven technology, which streamlines the decision-making process related to cyber threats by quickly transforming decentralized data into actionable insights. This capability enables cyber defenders and analysts to rapidly identify threats and vulnerabilities, prioritize tasks, allocate resources effectively, and respond to incidents, ultimately bolstering security measures while minimizing costs. Developed by a team passionate about supporting analysts, Andesite's mission centers on empowering these professionals and alleviating their workload. By focusing on the needs of analysts, the platform not only improves operational efficiency but also fosters a proactive security environment.

Terra provides a service for continuous web application penetration testing powered by agentic-AI, integrating artificial intelligence with the oversight of human experts to offer comprehensive security evaluations with a focus on business context. This solution ensures that the entire web application attack surface of an organization is continuously assessed, adapting to changes rather than being limited to periodic testing. With its ability to evaluate newly launched or updated features for vulnerabilities in real time, Terra eliminates the need to wait for quarterly or annual assessments. The generated reports are structured to meet compliance audit requirements, showcasing evidence of exploitability, likelihood, potential breach comparisons, and business impacts, along with actionable remediation recommendations. By concentrating on genuine risks specific to the client's business environment and risk profile, the service enhances visibility across all applications and features. This results in a significant improvement in efficiency and accuracy compared to traditional automated penetration tests, ultimately benefiting users with a more robust security posture. Additionally, organizations can confidently navigate the evolving threat landscape with the proactive nature of Terra’s continuous assessment approach.

Software for enterprise vulnerability management. Vulnerability manager Plus is an integrated threat management software that provides comprehensive vulnerability scanning, assessment and remediation across all endpoints within your network from a single console. You can scan and find vulnerable areas on all your remote and local office endpoints, as well as roaming devices. Use attacker-based analytics to identify areas most likely to be exploited. Reduce the risk of security loopholes being exploited in your network and prevent new ones from developing. Prioritize vulnerabilities based upon their vulnerability, severity, age, affected systems count, and the availability of a fix. You can download, test, and automatically deploy patches to Windows, Mac, Linux and more than 250 third-party apps with an integrated patching module, all without additional cost.

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.

General Analysis serves as a cutting-edge AI security platform designed to aid security teams in adversarially testing, monitoring, and safeguarding AI agents and systems that are actively deployed. Its primary objective is to enable organizations to grasp AI-related risks, avert potential incidents, and secure various real-world AI applications, which include employee copilots, coding agents, customer support tools, healthcare assistants, legal aids, financial copilots, and creative workflows. By mapping out AI applications and agents through an extensive range of parameters such as prompts, retrieval methods, tools, MCP servers, browser activities, permissions, repositories, cloud accounts, SaaS workflows, and business processes, it effectively identifies context-aware attacks that highlight vulnerabilities within the system. The platform's automated red teaming employs adaptable attacker models that respond to target behaviors and generate complex multi-step exploit chains, providing security teams with the ability to discover vulnerabilities that traditional static prompt sets or endpoint-only testing might overlook. Ultimately, General Analysis empowers organizations to enhance their AI security posture while ensuring that their deployments remain resilient against evolving threats.

GPT-5.4-Cyber is a tailored variant of GPT-5.4, specifically created to enhance defensive cybersecurity operations, which empowers security experts to more adeptly analyze, identify, and address vulnerabilities. This model has been fine-tuned to reduce the restrictions placed on legitimate security tasks, facilitating more in-depth involvement in areas such as vulnerability research, exploit analysis, and secure code assessments that are often limited in standard models. One of its standout features is the ability to perform binary reverse engineering, enabling the examination of compiled applications without needing the source code to uncover potential malware, vulnerabilities, and evaluate the overall strength of systems. Furthermore, it operates within OpenAI’s Trusted Access for Cyber (TAC) initiative, distributing its capabilities through a structured access framework that mandates identity verification and levels of trust, thereby ensuring that only approved defenders, researchers, and organizations are granted access to its most sophisticated functionalities. This approach not only enhances security measures but also fosters a more collaborative environment for cybersecurity professionals.

AQtive Guard serves as a comprehensive cybersecurity solution designed to assist organizations in safeguarding and overseeing their cryptographic assets alongside non-human identities (NHIs) like AI agents, keys, certificates, algorithms, and machine identities throughout their IT infrastructure. The platform provides ongoing discovery and immediate visibility into both NHIs and cryptographic elements, seamlessly integrating with current security tools, cloud services, and repositories to deliver a cohesive understanding of security status. By leveraging cutting-edge AI and extensive quantitative models, AQtive Guard evaluates vulnerabilities, ranks risks, and presents actionable insights with automated remediation workflows that address issues and uphold policies such as credential rotation and certificate renewal. Furthermore, the platform ensures compliance with the latest standards, including emerging NIST cryptographic protocols, while facilitating the lifecycle management of cryptographic assets to mitigate risks associated with both present and future threats. In this way, AQtive Guard not only fortifies security but also enhances organizational resilience against evolving cyber challenges.

AgileBlue is an advanced Security Operations platform built on AI technology that persistently monitors, analyzes, and autonomously addresses cyber threats throughout an organization’s complete digital environment, including endpoints, cloud services, and networks. By integrating decision-making AI with around-the-clock expert assistance, it minimizes unnecessary alerts, speeds up investigation processes, and prevents attacks from interfering with business operations. The platform features a comprehensive suite of essential modules, such as an intelligent SIEM that offers correlated and contextual visibility of threats, automated vulnerability scanning to identify risks before they can be taken advantage of, and a cloud security component that ensures visibility across multiple cloud services while proactively detecting misconfigurations. Additionally, Sapphire AI enhances real-time threat prioritization by learning and adapting from every incoming signal, effectively reducing false positives and alert fatigue. AgileBlue's lightweight Cerulean agent provides immediate endpoint visibility without impacting system performance, ensuring that organizations can operate smoothly while maintaining a strong security posture. This innovative approach empowers businesses to stay ahead of evolving cyber threats while optimizing their security resources efficiently.

Check Point Exposure Management is a comprehensive cybersecurity solution designed to help organizations continuously identify, assess, prioritize, and remediate security exposures across their digital environments. Leveraging an intelligence-led approach, the platform combines vulnerability data, threat intelligence, attack surface visibility, business context, and security telemetry to provide a unified view of organizational risk. Rather than overwhelming teams with large volumes of alerts and vulnerabilities, it focuses on identifying the exposures most likely to be exploited by threat actors, helping security teams concentrate remediation efforts where they will have the greatest impact. The solution supports Continuous Threat Exposure Management (CTEM) strategies by integrating exposure discovery, threat correlation, prioritization, validation, and remediation into a continuous risk reduction workflow. Advanced capabilities include deep and dark web monitoring, threat actor intelligence, brand abuse detection, vulnerability prioritization, risk scoring, automated remediation validation, and multi-vendor integrations. Security teams can safely enforce corrective actions such as virtual patching, configuration hardening, threat indicator distribution, and exposure takedowns without disrupting business operations. By unifying visibility, intelligence, and action, Check Point Exposure Management helps organizations reduce mean time to remediation, improve security posture, strengthen compliance efforts, and proactively manage evolving cyber risks.

Lasso is an enterprise AI security platform built to secure AI agents, generative AI applications, and emerging agentic systems across complex business environments. The solution delivers end-to-end visibility into AI deployments by discovering, cataloging, and continuously monitoring AI assets throughout their lifecycle. Organizations can use the platform to identify models, prompts, tools, guardrails, and configurations while maintaining an up-to-date inventory of AI resources. Automated AI red teaming capabilities help uncover vulnerabilities, weaknesses, and attack vectors before they can be exploited in production environments. Runtime enforcement mechanisms monitor interactions in real time, ensuring AI systems operate within approved policies and security boundaries. The platform’s intent-based analysis approach helps detect threats that traditional security tools may miss due to the non-deterministic nature of AI behavior. Lasso also supports AI detection and response workflows that help security teams investigate incidents and mitigate risks more effectively. Enterprise-ready performance, scalability, and governance features make the platform suitable for organizations adopting AI at scale. By providing continuous visibility, protection, and risk management, Lasso helps businesses innovate confidently while reducing exposure to AI-related threats.

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.

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.

Arambh Labs introduces a new era of security operations by leveraging agentic AI to detect, investigate, and remediate threats in real time. Its swarm of security-specialized agents — including Byte the first responder, Rook the strategist, Echo the threat hunter, and Talon the intelligence gatherer — work collaboratively like a digital defense team. The platform unifies visibility across all layers of IT infrastructure, from cloud and endpoints to networks, identity systems, and data environments, delivering context-rich insights that extend far beyond traditional logging tools. Intelligent prioritization reduces noise by analyzing risks in context, allowing security teams to focus on the 1% of alerts that matter most. With autonomous remediation, Arambh Labs executes response playbooks instantly, aligning actions with predefined policies for rapid containment and recovery. This automation has helped customers cut their MTTR by over 85% while strengthening proactive defense postures. Designed for scale, Arambh Labs integrates seamlessly with over 100 security solutions and supports both SaaS and on-prem deployments. By combining deep security expertise with cutting-edge agentic AI, the platform empowers enterprises to stay ahead of evolving threats and operate with confidence.

Amplify Security is a software security platform driven by AI that integrates smoothly into development workflows to automatically identify, assess, and address security vulnerabilities in code, requiring minimal manual intervention. It establishes connections with repositories on platforms such as GitHub and GitLab, performing continuous code scans and highlighting security concerns directly within pull or merge requests, while providing deployment-ready solutions that developers can implement with just one click. The platform utilizes a dual-agent AI framework, where one agent focuses on prioritizing security risks and the other emphasizes developer-friendly solutions, delivering clear and actionable remediation recommendations that align with current coding standards and minimize the communication loop between security and development teams. By automating tasks that have traditionally been slow and manual in vulnerability management, Amplify Security aims to significantly cut down on false positives and empower teams to tackle security issues in a matter of minutes rather than taking months to resolve them. Ultimately, this innovative approach not only streamlines the development process but also enhances overall code security, making it an invaluable tool for modern software teams.

Stay updated on new threats with our real-time, machine-curated threat intelligence. Identify and prioritize potential risks up to three months in advance compared to leading scanning solutions, eliminating the need for redundant scans or agents. Leverage Attenu8, our AI-driven platform, to focus on the most critical threats. Protect your DevOps pipeline from open source vulnerabilities, malware, code secrets, and configuration challenges. Safeguard your infrastructure, network, IoT devices, and other assets by representing them as virtual entities. Effortlessly discover and manage your assets through a straightforward open-source CLI. Decentralize your security functions with immediate alerts. Seamlessly integrate with MSTeams, Slack, JIRA, ServiceNow, and other platforms through our robust API and SDK. Maintain an edge over your adversaries by staying informed about emerging malware, vulnerabilities, exploits, patches, and remediation steps in real-time, powered by our advanced AI and machine-curated threat intelligence. With our solutions, your organization can ensure comprehensive security across all its digital assets.

Protect AI conducts comprehensive security assessments throughout your machine learning lifecycle, ensuring that your AI applications and models are both secure and compliant. It is crucial for enterprises to comprehend the distinct vulnerabilities present in their AI and ML systems throughout the entire lifecycle and to take swift action to mitigate any potential risks. Our offerings deliver enhanced threat visibility, effective security testing, and robust remediation strategies. Jupyter Notebooks serve as an invaluable resource for data scientists, enabling them to explore datasets, develop models, assess experiments, and collaborate by sharing findings with colleagues. These notebooks encompass live code, visualizations, data, and explanatory text, but they also present various security vulnerabilities that existing cybersecurity solutions may not adequately address. NB Defense is a complimentary tool that swiftly scans individual notebooks or entire repositories to uncover common security flaws, pinpoint issues, and provide guidance on how to resolve them effectively. By utilizing such tools, organizations can significantly enhance their overall security posture while leveraging the powerful capabilities of Jupyter Notebooks.

Exein Core It acts as an embedded component within hardware and stops external threats without the use of cloud computing support. Exein IDS Exein IDS is the first IDS Firmware in the world for dealing with supply chain exploitation and alerting. Exein CVE Exein CVECheck analyzes the firmware to identify vulnerabilities and then fixes them. Security from development to execution Security vulnerabilities can be fixed Protect and manage any type of firmware

FortiNDR effectively detects ongoing cybersecurity threats by analyzing unusual network behavior, which accelerates the investigation and response processes to incidents. This solution offers comprehensive protection across the network lifecycle, combining detection and response capabilities. Utilizing AI, machine learning, behavioral analytics, and human insight, it scrutinizes network traffic to help security teams recognize malicious activities and take swift action against them. FortiNDR excels in providing in-depth analysis of network traffic and files, determining the root causes of incidents, and assessing their scope, all while equipping users with the necessary tools to address these threats promptly. One of its standout features is the Virtual Security Analyst, designed to pinpoint harmful network activities and files, allowing for the immediate identification of complex threats, such as zero-day vulnerabilities. Additionally, FortiNDR Cloud enhances security measures by merging machine learning and AI with human expertise to bolster overall security and minimize false alarms. The expertise of seasoned threat researchers at FortiGuard Labs plays a crucial role as they monitor the activities of cybercriminals, conduct reverse engineering, and continually refresh detection protocols to stay ahead of emerging threats. This ongoing effort ensures that organizations can react effectively and maintain robust defenses against various cyber risks.

Snapper serves as a comprehensive security platform for AI agents, aimed at ensuring thorough governance and protection for organizations that utilize AI across various applications, networks, and systems. It implements runtime enforcement by scrutinizing every action an agent takes, such as tool interactions, API calls, and data access requests, prior to execution, utilizing a multi-layered policy-driven rule engine. Additionally, Snapper provides a holistic view of AI activity by analyzing network traffic, browser usage, DNS queries, and running processes to uncover unauthorized tools and hidden AI applications. It also proactively intercepts outgoing large language model requests via SDK wrappers and a network proxy, allowing it to assess, redact, and document sensitive information in real time. Enhancing its security features, Snapper possesses sophisticated threat detection mechanisms that can recognize prompt injection tactics, exploit chains, unusual behaviors, and complex attack patterns, leveraging behavioral baselines, kill chain analysis, and a composite trust scoring system for robust protection. Ultimately, Snapper represents a critical asset for organizations seeking to navigate the risks associated with AI deployment while maintaining operational integrity.

OpenText Static Application Security Testing (SAST) provides precise identification and remediation of application security flaws directly within source code, helping organizations reduce risks early in development. The platform supports over 33 major programming languages and frameworks, enabling broad language coverage for diverse development environments. It integrates smoothly with widely used CI/CD pipelines and developer tools such as Jenkins, Atlassian Bamboo, Azure DevOps, and Microsoft Visual Studio, ensuring security fits naturally into existing workflows. AI-driven analysis prioritizes vulnerabilities and dramatically reduces false positives by customizing rules and scan depths, speeding up development cycles by up to 25%. OpenText SAST meets compliance benchmarks like OWASP 1.2b, offering developers detailed guidance to efficiently fix issues and improve code quality. Its flexible deployment options include multi-tenant SaaS, private cloud, and on-premises installations, allowing organizations to scale securely and according to their infrastructure needs. Backed by a dedicated Software Security Research team, the solution receives agile updates to stay current with emerging threats. Customers praise the tool for reducing manual code review efforts while increasing vulnerability detection accuracy.

The CardinalOps platform functions as an AI-driven solution for managing threat exposure, offering organizations a comprehensive perspective on their prevention and detection mechanisms across various domains such as endpoint, cloud, identity, and network. By consolidating insights from misconfigurations, insecure internet-facing assets, absent hardening measures, and deficiencies in detection or prevention, it delivers a complete overview of vulnerabilities and prioritizes necessary actions based on business relevance and adversary strategies. The platform actively aligns its detections and controls with the MITRE ATT&CK framework, allowing users to evaluate the depth of their coverage and to uncover ineffective or absent detection rules, while also producing tailored deployment-ready detection content through seamless API integration with leading SIEM/XDR systems like Splunk, Microsoft Sentinel, and IBM QRadar. Additionally, its automation and threat intelligence operationalization capabilities enable security teams to address vulnerabilities more swiftly and effectively. Overall, the solution enhances an organization’s ability to respond to threats in a timely manner, ultimately strengthening its security posture.

PatrowlHears enhances your vulnerability management for internal IT resources, which include operating systems, middleware, applications, web content management systems, various libraries, network devices, and IoT systems. A wealth of information on vulnerabilities and associated exploitation notes is made readily available to you. The platform facilitates continuous scanning of websites, public IPs, domains, and their subdomains to identify vulnerabilities and misconfigurations. It also conducts thorough reconnaissance, encompassing asset discovery, comprehensive vulnerability assessments, and remediation verification. The service automates processes such as static code analysis, evaluation of external resources, and web application vulnerability assessments. You can access a robust and regularly updated vulnerability database that is enriched with scoring, exploit information, and threat intelligence. Furthermore, metadata is meticulously gathered and vetted by security professionals utilizing both public OSINT and private sources, ensuring a high level of reliability. This thorough approach not only enhances your security posture but also helps in proactive risk management.

HCL BigFix SaaS Remediate is a comprehensive vulnerability remediation platform designed to help organizations fix security issues quickly and efficiently. It automates the process of identifying, prioritizing, and resolving vulnerabilities across diverse IT environments. The platform includes a library of over 500,000 remediation actions, enabling rapid deployment of fixes. It supports multiple operating systems and applications, providing broad coverage across enterprise systems. CyberFOCUS™ analytics deliver risk-based insights to help teams focus on the most critical vulnerabilities. HCL BigFix integrates security and IT operations into a unified workflow, improving collaboration and reducing tool complexity. The cloud-native architecture allows for fast deployment without infrastructure setup. Automated patching and prescriptive guidance ensure accurate and consistent remediation. The platform also improves compliance and reduces exposure to cyber threats. Overall, it helps organizations strengthen security posture while saving time and operational effort.

With over ten years of AI modeling experience and a quarter-century in the fields of analytics and machine learning, Trellix Wise XDR capabilities effectively mitigate alert fatigue while identifying elusive threats. It enhances team efficiency by automatically escalating issues with relevant context, allowing every team member to actively seek out and resolve potential threats. Wise stands out by integrating with three times as many third-party applications compared to its competitors and harnesses real-time threat intelligence derived from a staggering 68 billion daily queries across over 100 million endpoints. The platform streamlines the process by automatically investigating alerts and prioritizing them through automated escalation, underpinned by workflows and analytics refined over a decade and backed by more than 1.5 petabytes of data. Users can seamlessly find, investigate, and address threats using AI-driven prompts that utilize everyday language, resulting in significant efficiency gains. In fact, teams can reclaim up to eight hours of Security Operations Center (SOC) work for every 100 alerts processed, with visible time savings displayed on dashboards. Trellix Wise ultimately alleviates alert fatigue for security operations teams of all experience levels, empowering them to investigate and automate the resolution of every alert effectively. This ensures a more robust defense against cyber threats in an increasingly complex digital landscape.

Assist developers in the early identification, prioritization, and resolution of application vulnerabilities during the development and testing phases. Deepfactor identifies runtime security threats across filesystem, network, process, and memory behaviors, which include the exposure of sensitive data, insecure coding practices, and unauthorized network activities. In addition, Deepfactor produces software bills of materials formatted in CycloneDX to meet executive orders and enterprise supply chain security mandates. It also aligns vulnerabilities with compliance frameworks such as SOC 2 Type 2, PCI DSS, and NIST 800-53, thereby mitigating compliance risks. Furthermore, Deepfactor offers prioritized insights that allow developers to detect insecure code, facilitate the remediation process, assess changes across releases, and evaluate the potential impact on compliance goals, ultimately enhancing overall application security throughout the development lifecycle.

Safeguard your financial resources through proactive vulnerability management, secure payment practices, and robust internal controls designed to thwart unauthorized access, fraud, and various threats. Enhance the speed of vulnerability mitigation and optimize resource use with our intelligent prioritization solution, which yields results four times quicker. Improve visibility and contextual understanding of threats, allowing security teams to identify vulnerabilities and observe signs of exploitation attempts within their systems. Take advantage of various mitigation strategies for each identified risk, granting you the flexibility to select the most effective remediation methods. Utilize a searchable risk database that enables swift access to pertinent information on identified vulnerabilities, facilitating rapid and informed decision-making processes. This comprehensive approach not only protects your assets but also reinforces your overall security posture in an increasingly complex threat landscape.

Xygeni delivers a comprehensive Application Security Posture Management (ASPM) platform that secures software from code to cloud. Designed for enterprise security and DevSecOps teams, it provides full-stack protection across codebases, pipelines, and production environments—all from a single dashboard. Xygeni continuously monitors every layer of the SDLC, including source code, open-source dependencies, secrets, builds, IaC, containers, and CI/CD systems, detecting threats such as vulnerabilities, misconfigurations, and embedded malware in real time. Its AI-driven engine reduces alert fatigue by prioritizing exploitable risks and automating remediation through AI SAST, Auto-Fix, and the intelligent Xygeni Bot. Developers can fix issues instantly within their IDE, ensuring security is embedded from the first line of code. Advanced malware early warning blocks zero-day supply-chain attacks at publication, while smart dependency analysis prevents risky or breaking updates before deployment. With seamless integrations into leading DevOps tools, Xygeni empowers teams to secure modern applications at scale. The result: continuous protection, smarter automation, and faster, safer software delivery.

Avoid wasting your time on vulnerabilities which will not have a meaningful impact on your organization. PDQ Detect prioritizes the highest-risk vulnerabilities to help you secure your Windows Apple and Linux devices. Get your continuous remediation program rolling by: 1. Full visibility of the attack surface -- Scan your on-prem assets, remote assets, and internet-facing resources to gain full visibility in real-time. 2. PDQ Detect is a machine-learning-based tool that prioritizes risks based on context. 3. Effective remediation and reporting -- Get clear remediation measures, prioritized according to impact and exploitability. Use automated or custom reports.

S4 enables Salesforce DevSecOps to be established in the CI/CD pipeline within less than an hour. S4 empowers developers with the ability to identify and fix vulnerabilities before they reach production, which could lead to data breaches. Secure Salesforce during development reduces risk, and speeds up deployment. Our patented SaaS Security scanner™, S4 for Salesforce™, automatically assesses Salesforce's security posture. It uses its full-spectrum continuous app security testing (CAST), platform that was specifically designed to detect Salesforce vulnerabilities. Interactive Runtime Testing, Software Composition Analysis and Cloud Security Configuration Review. Our static application security testing engine (SAST) is a core feature in S4. It automates scanning and analysis for custom source code within Salesforce Orgs including Apex, VisualForce and Lightning Web Components and related-JavaScript.

F5 AI Guardrails is an enterprise AI security platform that provides runtime protection for deployed AI models, agents, and applications across diverse environments. The solution is designed to address emerging AI risks by monitoring interactions, enforcing policies, and preventing malicious attempts to manipulate AI behavior. Organizations can use the platform to defend against prompt injection attacks, jailbreak techniques, data leakage incidents, and other adversarial threats targeting AI systems. Distributed data protection capabilities inspect AI interactions in real time and help enforce data loss prevention policies across applications and models. The platform includes automated compliance features that support frameworks and regulations such as GDPR, HIPAA, and the European Union AI Act. Advanced observability and auditing tools provide detailed records of AI activity, enabling stronger governance and accountability. F5 AI Guardrails also supports dynamic model routing and low-latency security controls to maintain operational performance while enforcing protections. Model-agnostic functionality allows organizations to secure both proprietary and open-source AI models using a unified approach. By integrating security, compliance, observability, and runtime protection, F5 AI Guardrails helps organizations confidently scale their AI initiatives.

Conventional SCA tools fail to differentiate between vulnerabilities that can be exploited and those that cannot. This oversight results in developers addressing up to 95% of vulnerabilities that are ultimately irrelevant and can be disregarded. Coana utilizes reachability analysis to filter out as much as 95% of these false positives. Consequently, developers are left with only a handful of vulnerabilities that truly require remediation. By recognizing that up to 95% of vulnerabilities are unreachable, you can conserve both time and resources, concentrating only on those few that genuinely pose a risk. Gain clarity on the specific areas of your code impacted by reachable vulnerabilities. Understand precisely which dependency updates are essential for mitigating these vulnerabilities. Additionally, identify reachable vulnerabilities across both direct and indirect dependencies, ensuring a comprehensive approach to security. This targeted method not only enhances efficiency but also significantly improves your security posture.