Best Cyber Risk Management Software for JupiterOne

Find and compare the best Cyber Risk Management software for JupiterOne in 2026

Use the comparison tool below to compare the top Cyber Risk Management software for JupiterOne on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    CyCognito Reviews

    CyCognito

    CyCognito

    $11/asset/month
    Using nation-state-grade technology, uncover all security holes in your organization. CyCognito's Global Bot Network uses an attacker-like reconnaissance technique to scan, discover, and fingerprint billions digital assets around the globe. No configuration or input required. Discover the unknown. The Discovery Engine uses graph data modelling to map your entire attack surface. The Discovery Engine gives you a clear view on every asset an attacker could reach, their relationship to your business, and what they are. The CyCognito risk-detection algorithms allow the attack simulator to identify risks per asset and find potential attack vectors. It does not affect business operations and doesn't require configuration or whitelisting. CyCognito scores each threat based on its attractiveness to attackers, and the impact on the business. This dramatically reduces the number of attack vectors organizations may be exposed to to just a few.
  • 2
    Polymer Reviews

    Polymer

    Polymer Data Security

    $4/month/user
    Polymer DLP secures your SaaS apps by preventing sensitive information like business-critical data or PII from being sent to the wrong people. We used machine learning and natural language processing to automatically detect and remediate files and messages in real time. In addition we provide training at the time of infraction, which is proven to help prevent future incidents before they happen. Try for free and set up your custom policy in minutes. Polymer is constantly expanding, currently we integrate with Slack, Google Drive, Microsoft Teams, One Drive, Bitbucket, Github and Box.
  • 3
    XM Cyber Reviews
    Networks are in a perpetual state of flux, leading to challenges for IT and security operations. This continuous change can create vulnerabilities that attackers may take advantage of. Although organizations deploy various security measures, such as firewalls, intrusion prevention systems, vulnerability management, and endpoint protection tools to safeguard their networks, breaches can still occur. A robust defense strategy necessitates ongoing assessment of daily risks stemming from exploitable vulnerabilities, typical configuration errors, poorly managed credentials, and legitimate user actions that may compromise system integrity. Given the substantial investments made in security measures, one might wonder why cybercriminals continue to succeed. The complexity of network security is compounded by the overwhelming number of alerts, relentless software updates and patches, and a flood of vulnerability notifications. Those charged with maintaining security find themselves sifting through vast amounts of data, often lacking the necessary context to make informed decisions. Consequently, achieving meaningful risk reduction becomes a daunting task, requiring not just technology but also a thoughtful approach to data management and threat analysis. Ultimately, without a strategic framework to navigate these challenges, organizations remain susceptible to attacks.
  • 4
    Tenable One Reviews
    Tenable One offers a groundbreaking solution that consolidates security visibility, insights, and actions across the entire attack surface, empowering contemporary organizations to identify and eliminate critical cyber risks spanning IT infrastructure, cloud systems, essential infrastructure, and beyond. It stands as the only AI-driven platform for managing exposures in the market today. With Tenable's advanced vulnerability management sensors, you can gain a comprehensive view of every asset within your attack surface, including cloud systems, operational technologies, infrastructure, containers, remote employees, and modern web applications. By analyzing over 20 trillion components related to threats, vulnerabilities, misconfigurations, and asset data, Tenable’s machine-learning capabilities streamline remediation efforts by allowing you to prioritize the most significant risks first. This focused approach fosters necessary enhancements to minimize the likelihood of serious cyber incidents while providing clear and objective assessments of risk levels. In this rapidly evolving digital landscape, having such precise visibility and predictive power is essential for safeguarding organizational assets.
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