GetReal Security Emphasizes Human-Layer Zero-Trust in Growing Deepfake Threat Landscape

According to a recent LinkedIn post from GetReal Security, CEO Matthew Moynahan used the Presidents Forum at RSAC 2026 to emphasize a growing concern among clients: verifying that digital counterparties are who they claim to be. The post highlights that adversaries are exploiting default trust in digital channels such as phone and video conferencing, where traditional security tools have limited visibility and control.

The company’s LinkedIn post suggests that deepfake detection, while necessary, is only one component of modern cyber defense, and that a broader zero-trust framework at the “human layer” is required. This approach is described as extending across images, audio, and video streams, supported by automated policy enforcement and response to provide richer context around threats and preserve the integrity of human-to-human interactions.

For investors, the post implies that GetReal Security is positioning itself at the intersection of identity assurance, deepfake detection, and zero-trust architectures, a segment likely to see rising demand as synthetic media attacks proliferate. If the firm can translate this vision into scalable, differentiated products adopted by large enterprises, it could enhance its competitive standing in the cybersecurity market and potentially support higher long-term revenue growth.

The focus on automated threat intelligence and enforcement also points to a strategy aimed at reducing operational burden for security teams, aligning with broader industry trends toward consolidation and automation of security stacks. This positioning may make the company an attractive partner or acquisition target for larger cybersecurity and enterprise software vendors looking to strengthen capabilities around human-centric and collaboration-channel security.