SonarQube Cloud
Maximize your throughput and only release clean code SonarQube Cloud (formerly SonarCloud) automatically analyzes branches and decorates pull requests. Catch tricky bugs to prevent undefined behavior from impacting end-users. Fix vulnerabilities that compromise your app, and learn AppSec along the way with Security Hotspots. With just a few clicks you're up and running right where your code lives. Immediate access to the latest features and enhancements. Project dashboards keep teams and stakeholders informed on code quality and releasability. Display project badges and show your communities you're all about awesome. Code Quality and Code Security is a concern for your entire stack, from front-end to back-end. That’s why we cover 24 languages including Python, Java, C++, and many others. Transparency makes sense and that's why the trend is growing. Come join the fun, it's entirely free for open-source projects!
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Skyhawk Security
Skyhawk Security provides a cloud breach prevention platform that continuously monitors runtime behavior across public cloud environments, correlates threats into actionable attack storylines, and delivers verified alerts, automated responses, and remediation recommendations to stop breaches before they occur. Its AI-powered Continuous Proactive Protection uses an Autonomous Purple Team to simulate realistic attacks against a customer’s unique cloud infrastructure and adapt detection models to evolving configurations, reducing noise and false positives so security teams focus only on real threats in real time. It integrates Cloud Threat Detection and Response (CDR) with contextualized, scored alerts tuned to each environment, enabling rapid resolution and shorter mean time to respond (MTTR). It also includes foundational capabilities such as Cloud Security Posture Management (CSPM) and Cloud Infrastructure Entitlement Management (CIEM) to assess permissions.
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Qevlar AI
Qevlar AI is an autonomous AI-powered Security Operations Center (SOC) platform designed to transform how cybersecurity teams investigate and respond to threats by automating the entire alert analysis process. Unlike traditional tools or AI co-pilots that require human input or predefined playbooks, it independently investigates alerts as soon as they are received, pulling and enriching data from multiple security tools and external sources to determine whether an alert is truly malicious. It correlates and analyzes signals across systems, reconstructs attack patterns, and provides a complete understanding of incidents, allowing teams to move beyond fragmented workflows and reactive alert triage. By using agentic AI, it can automate a large portion of manual investigations, significantly reducing response times, improving consistency, and expanding the operational capacity of security teams without increasing headcount.
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7AI
7AI is an agentic security platform built to automate and accelerate the entire security operations lifecycle using specialized AI agents that investigate security alerts, form conclusions, and take action, turning processes that once took hours into minutes. Unlike traditional automation tools or AI copilots, 7AI deploys purpose-built, context-aware agents that are architecturally bounded to avoid hallucinations, and operate autonomously; they ingest alerts from existing security tools, enrich and correlate data across endpoints, cloud, identity, email, network, and more, and then produce full investigations with evidence, narrative summaries, cross-alert correlation, and audit trails. It offers a complete security stack: detection to triage alerts (filtering out noise and up to 95–99% of false positives), investigations (multi-system data-gathering and expert-level reasoning), and unified incident-case management (auto-populated cases, team collaboration, and handoffs).
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