Best Cyber Risk Management Software for Cybereason

Axonius gives IT and security teams the confidence to control complexity by providing a system of record for all digital infrastructure. With a comprehensive understanding of all assets including devices, identities, software, SaaS applications, vulnerabilities, security controls, and the context between them, customers are able to mitigate threats, navigate risk, decrease incident response time, automate action, and inform business-level strategy — all while eliminating manual, repetitive tasks.

Armis Centrix™ unifies cybersecurity operations by delivering continuous discovery, monitoring, and protection of every asset across complex hybrid networks. Its AI-powered intelligence engine enables security teams to detect unmanaged devices, assess vulnerabilities, and mitigate risks before attackers can exploit them. Organizations can manage IT systems, industrial OT environments, medical IoMT fleets, and IoT devices from a single platform with zero blind spots. The platform supports both on-premises and SaaS deployments, making it flexible for industries like healthcare, utilities, manufacturing, and critical infrastructure. VIPR Pro enhances the platform with automated remediation workflows, helping teams prioritize issues based on real-world threat activity. Early Warning intelligence provides insight into vulnerabilities actively being weaponized, ensuring organizations can act ahead of threats. Armis Centrix™ also improves business outcomes by increasing operational efficiency, supporting compliance, and strengthening resilience. Trusted by global enterprises and recognized by Gartner and GigaOm, Armis Centrix™ is built to meet the cybersecurity demands of modern digital environments.

ThreatConnect RQ is a financial cyber risk quantification solution that allows users to identify and communicate the cybersecurity risks that matter most to an organization in terms of financial impact. It aims to enable users to make better strategic and tactical-level decisions by quantifying them based on the business, the technical environment, and industry data. RQ automates the generation of financial cyber risk reporting as it relates to the business, cybersecurity initiatives, and controls. Automated outputs are generated in hours for reporting that is more current and relevant. By automating risk modelling, the vendor states customers get a fast start and can critique, or tune models over time instead of having to create their own. They use historical breach data and threat intelligence upfront in order to save months of data collection and remove the burden of continuous updating.