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Description

Cynomi's AI-driven automated vCISO platform is leveraged by MSSPs, MSPs, and consulting firms to consistently evaluate their clients' cybersecurity measures, formulate strategic remediation approaches, and implement them effectively to mitigate risks. As small to medium-sized businesses and mid-market organizations increasingly require proactive cyber resilience and persistent vCISO services for evaluating their security postures and improving compliance readiness, the demand for such services continues to rise. However, many managed service providers and consulting firms face challenges due to their limited resources and expertise when it comes to delivering comprehensive virtual CISO services. Cynomi addresses this gap by empowering its partners to deliver scalable vCISO services without the need to expand their current resources. With Cynomi’s platform, which is informed by the knowledge of top-tier CISOs, users can access automated risk and compliance evaluations, receive customized policy generation, and obtain actionable remediation plans complete with prioritized tasks, task management features, progress monitoring, and reports tailored for clients. This innovative solution not only streamlines the provision of security services but also allows firms to enhance their offerings and better serve their clientele.

Description

Currently, the typical CISO at a Fortune 2000 company manages an average of 12 different cybersecurity solutions, resulting in a fragmented view with numerous dashboards but no centralized aggregation point. This situation often leads to the inability to demonstrate a clear return on investment for many cybersecurity purchases. A significant gap exists in assessing the organization's cyber resilience, as there's no concrete measurement of the changes from the state before implementing a product to its condition afterward. Furthermore, the absence of industry standards for evaluating the effectiveness of cybersecurity product implementations exacerbates the issue. SAFE offers a solution by allowing organizations to forecast potential cyber breaches, effectively consolidating signals from their existing cybersecurity tools, external threat intelligence, and relevant business context. The system incorporates information into a supervised Machine Learning Bayesian Network designed to predict breach likelihood, providing valuable scores, prioritized actionable insights, and a clear assessment of the risks that the organization faces, thereby enhancing overall security posture. By utilizing SAFE, companies can improve their cybersecurity strategy and make more informed decisions in a complex threat landscape.