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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CloudCover CyberSafety Platform (CC/B1)
CloudCover CyberSafety B1 Platform (CCB1) is an advanced AI‑based SOAR security threat management solution that operates at sub‑second speed, ingesting real‑time context from an organization’s assets, configurations, threat intelligence, and business criticality to dynamically prioritize risks and deflect attacks with 99.9999999% accuracy and zero false positives. Leveraging patented deep‑learning risk orchestration, it has recorded and halted over 41 billion breach attempts in microseconds without compromise, continuously detecting, capturing, and preventing kompromat across cloud and on‑premises environments. CCB1 integrates seamlessly with existing security stacks to form a predictive CyberSafety layer that automates remediation workflows, deploying patches, configuration changes, or compensating controls, while built‑in AI agents adapt in real time to emerging threats.
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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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Guardz
Guardz is the unified cybersecurity platform purpose-built for MSPs. We consolidate the essential security controls, including identities, endpoints, email, awareness, and more, into one AI-native framework designed for operational efficiency.
Our identity-centric approach connects the dots across vectors, reducing the gaps that siloed tools leave behind so MSPs can see, understand, and act on user risk in real time.
Backed by an elite research and threat hunting team, Guardz strengthens detection across environments, turning signals into actionable insights.
With 24/7 AI + human-led MDR, Guardz utilizes agentic AI to triage at machine speed while expert analysts validate, mitigate, and guide response, giving MSPs scalable protection without adding headcount.
Our mission is simple: give MSPs the scale, confidence, and clarity they need to stay ahead of attackers and deliver protection to every SMB they serve.
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