The shift comes as organizations struggle with fragmented systems, which 43% of leaders cite as their most significant barrier to effective defense. According to research from CIO Dive and ID Dataweb, only 17% of security heads report high confidence in their current ability to detect identity-based threats. This vulnerability is exacerbated by the rise of AI-driven tactics, including deepfakes and social engineering, which have rendered traditional credential-based security insufficient.
Dr. Torsten George, Chief Cybersecurity Evangelist at ID Dataweb, argues that the industry must abandon siloed tools in favor of unified platforms. The new guide suggests that architectural depth should be measured by an organization’s ability to orchestrate risk across customer, workforce, and third-party identities. Key evaluation pillars include service resilience, automated failover mechanisms, and the capacity for continuous reanalysis of user records to detect synthetic identities that often bypass point-in-time verification.




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