According to a recent LinkedIn post from GetReal Security, the company is drawing attention to identity risks emerging in the generative AI environment. The post highlights concerns that traditional assumptions about the authenticity of digital counterparts are increasingly unreliable as AI tools enable more convincing impersonation.
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The company’s LinkedIn post points readers to a new whitepaper focused on what it describes as the “human capital supply chain” becoming an active attack surface. It suggests that existing Zero Trust architectures, which typically emphasize devices and credentials, may need to be extended to include protections around human users and workforce-related processes.
From an investor perspective, this emphasis on securing the “human layer” indicates a potential product or solution focus aligned with rising enterprise demand for advanced identity and fraud controls. If GetReal Security can translate this thought leadership into differentiated offerings, it may strengthen its position in the cybersecurity and risk-management segments.
The post also targets stakeholders responsible for enterprise risk, security, HR, and fraud, implying a cross-functional buyer set that could broaden the company’s addressable market. Growing regulatory scrutiny and financial losses tied to social engineering and AI-enabled fraud could increase willingness to invest in such capabilities, potentially supporting future revenue growth for vendors positioned in this niche.