According to a recent LinkedIn post from GetReal Security, the company is drawing attention to rising risks around digital identity in virtual meetings and collaboration. The post highlights CEO Matthew Moynahan’s view that one-time identity checks are increasingly inadequate amid AI-driven deepfakes and low-cost impersonation tools.
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The LinkedIn post suggests that continuous identity verification, combining biometrics, threat intelligence, and visual-audio analysis, may represent an important evolution in cybersecurity architecture. For investors, this framing points to a potential demand driver for advanced identity-verification solutions as enterprises reassess how they manage human authenticity in virtual environments.
As presented in the post, GetReal Security appears to be positioning its approach as a way to improve security without disrupting user workflows, which may appeal to large organizations balancing risk management with productivity. If enterprises broadly adopt layered, continuous verification models, vendors in this niche could see expanding addressable markets and stronger recurring revenue opportunities.
The emphasis on AI-enabled fraud and deepfakes aligns with wider industry concerns and may help the company align its offering with budget priorities in security and compliance. For GetReal Security, sustained thought leadership in this area could support differentiation versus traditional identity providers and potentially enhance its competitive standing in the enterprise cybersecurity segment.