Wiz
Wiz introduces a novel strategy for cloud security by identifying critical risks and potential entry points across various multi-cloud settings. It enables the discovery of all lateral movement threats, including private keys that can access both production and development areas. Vulnerabilities and unpatched software can be scanned within your workloads for proactive security measures. Additionally, it provides a thorough inventory of all services and software operating within your cloud ecosystems, detailing their versions and packages. The platform allows you to cross-check all keys associated with your workloads against their permissions in the cloud environment. Through an exhaustive evaluation of your cloud network, even those obscured by multiple hops, you can identify which resources are exposed to the internet. Furthermore, it enables you to benchmark your configurations against industry standards and best practices for cloud infrastructure, Kubernetes, and virtual machine operating systems, ensuring a comprehensive security posture. Ultimately, this thorough analysis makes it easier to maintain robust security and compliance across all your cloud deployments.
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Hoxhunt
Hoxhunt is a platform focused on Human Risk Management that transcends traditional security awareness efforts to foster behavioral transformation and effectively reduce risk levels. By integrating artificial intelligence with behavioral science, Hoxhunt delivers personalized micro-training experiences that users find engaging, enabling employees to better identify and report sophisticated phishing attempts. Security professionals benefit from actionable metrics that demonstrate a significant decrease in human-related cyber risks over time. The platform collaborates with prominent international organizations like Airbus, DocuSign, AES, and Avanade, showcasing its widespread impact in enhancing cybersecurity. With a commitment to ongoing improvement, Hoxhunt continues to evolve its strategies to better equip employees against emerging threats.
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Rapid7 Exposure Command
Evaluate and prioritize vulnerabilities across all layers, from endpoint devices to cloud environments, ensuring a thorough understanding of the attack surface and the risk context associated with threats. Emphasize remediation strategies that encompass everything from endpoints to cloud infrastructure, partnering with a leader in exposure management solutions. By harnessing essential insights, organizations can stay ahead of cyber threats and effectively tackle vulnerabilities, policy gaps, and misconfigurations found within hybrid systems. Improve continuous attack surface monitoring through enriched environmental context and automated risk assessment, thus enabling the identification and mitigation of dangerous configurations. Develop a holistic view of asset posture, ownership, and policy deficiencies in hybrid setups that must comply with regulatory requirements. Actively reduce cloud-related risks before they affect production environments by implementing infrastructure-as-code (IaC) practices and ongoing web application scanning that provide developers with practical insights. Exposure Command empowers teams with enhanced contextual awareness, allowing them to adeptly navigate and manage significant organizational risks, transforming risk management into a forward-thinking process that aligns seamlessly with overarching business goals. With this proactive approach, organizations can better secure their infrastructure against emerging threats.
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Tenable One
Tenable One delivers an innovative solution that integrates security visibility, insights, and actions across the entire attack surface, enabling modern organizations to pinpoint and mitigate critical cyber threats across IT infrastructures, cloud environments, crucial infrastructures, and more.
It is the only AI-powered platform available for exposure management in today’s marketplace.
With Tenable's sophisticated vulnerability management sensors, users can achieve a thorough understanding of every asset within their attack surface, encompassing cloud systems, operational technologies, infrastructure, containers, remote workforce, and contemporary web applications. By examining over 20 trillion elements associated with threats, vulnerabilities, misconfigurations, and asset data, Tenable’s machine learning technology enhances remediation efforts by prioritizing the most pressing risks efficiently.
This targeted strategy promotes essential improvements that reduce the chances of severe cyber incidents while also delivering clear and objective evaluations of risk levels. In a digital landscape that is constantly changing, having such detailed visibility and predictive capabilities is crucial for protecting organizational assets. Furthermore, Tenable One’s ability to adapt to emerging threats ensures that organizations remain resilient in the face of evolving cyber challenges.
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