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The traditional review cycle that assumes risks are well-known, quantifiable, and fixed for a period of time, may have served organizations well in the first two decades of web 2.0, but it is no longer adequate in an environment where cyber threats are not static and constantly evolving. To help customers navigate this complex threat landscape, CYFIRMA has redefined threat intelligence beyond static data feeds to encompass predictive, contextualized, and actionable insights that enable organizations to gain full visibility of their digital assets, attack surface, and vulnerabilities. At CYFIRMA, we define this new approach as External Threat Landscape Management (ETLM), which serves as the neuro-center of cyber defense today. This paper details CYFIRMA’s ETLM approach, data model, and use cases. It outlines problem statements that ETLM can solve and demonstrates why conventional threat intelligence is not working.

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