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Description

Eyako is a centralized cybersecurity command platform created to help CISOs, CIOs, security teams, and managed security providers gain complete visibility into their organization’s cyber posture from one unified dashboard. The platform aggregates signals from governance tools, vulnerability management systems, compliance frameworks, incident management workflows, supplier risk programs, and data protection initiatives into a single operational cockpit. Eyako is designed to eliminate fragmented security management processes by replacing disconnected spreadsheets, emails, PowerPoint reports, and siloed security tools with a centralized decision-making environment. The platform allows organizations to manage risks, compliance obligations, vulnerabilities, incidents, suppliers, projects, and action plans through integrated modules that share the same operational context. Smart prioritization capabilities analyze cybersecurity data and identify which remediation actions will reduce overall risk exposure most effectively. Eyako supports major regulatory and compliance frameworks such as NIS2, DORA, ISO 27001, and GDPR while simplifying compliance tracking and reporting processes. Automated board reporting tools transform technical cybersecurity data into executive-level summaries that leadership teams can quickly understand and act upon. Security leaders can generate reports, monitor global security scores, review incidents, and track strategic priorities from one centralized interface. The platform also improves collaboration by aligning CISOs, IT teams, executives, and external partners around shared security objectives and operational visibility.

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.