From hiring and onboarding fraud to service desk social engineering, attackers increasingly exploit identity workflows with stolen identities, forged documents, and deepfake-enabled impersonation. Gartner® warns that “by 2028, one in four candidate profiles will be fake.”1 Their latest CISO Edge research mentions, “Deploy detection and prevention capabilities, such as automated identity verification and assessment of contextual risk signals, at different stages in the recruitment process such as at the interview or offer stage.”2 The report recognized HYPR as a Representative Vendor for direct assessment via identity verification. Fraudulent resumes are flooding applicant pools, documents live on the dark web and can be forged, confidence in deepfake detection remains low, and voice AI attacks are just getting started. Risk signals when evaluated in isolation and without automated response fail to stop impersonation at scale. That’s why we believe in Context-Based Attestation: combining peer-based attestation with real-world context is critical to establishing continuous trust.

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Context-based attestation is an identity verification approach that validates users by combining organizational context (role, team, workflows), situational signals (meetings, recent activity), peer attestation, and behavioral continuity rather than relying solely on documents or biometrics. This method addresses rising threats from deepfakes, synthetic identities, and social engineering by establishing continuous trust through real-world context that's difficult to forge or replay. The approach integrates multiple verification signals into a dynamic, auditable framework that adapts authentication requirements based on risk while reducing friction for legitimate users.

Context-Based Attestation: A Practical Approach to High-Confidence Identity Verification

Why Context-Based Attestation Matters Now

Key Components and How Context-Based Attestation Works

Why Organizations Are Adopting This Model

Moving Beyond Detection: The HYPR Identity Assurance Engine