Stay ahead of the curve with the latest news, ideas and resources on all things Identity Assurance and Passwordless.
Context-Based Attestation: A Practical Approach to High-Confidence Identity Verification
Mercedes Anders, Senior Product Manager, HYPR
6 Min. Read | February 17, 2026
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.
What Is Context-Based Attestation?
Context-based attestation is an identity verification approach that establishes confidence by validating situational, organizational, and behavioral context associated with an individual, rather than relying solely on documents, biometrics, isolated risk signals, or new detection tools to tell us what’s real.
Comprehensive identity verification workflows including document verification, location detection, facial recognition and liveliness detection provide a strong foundation. Context-based attestation builds on that foundation by continuously validating whether the person interacting with a system aligns with their previously verified identity through real-world context.
It uses information that already exists within an organization, such as role data, calendars, workflows, relationships, and prior verified interactions, to confirm that the person interacting with a system aligns with the identity previously established.
The result is identity verification grounded in continuity and context, not one-time artifacts.
Context-based attestation also underpins context-based authentication, where trusted contextual signals are used to dynamically inform authentication decisions at the moment of access. By carrying forward verified identity context, such as role, behavior, and prior interactions—organizations can continuously adapt authentication requirements without relying on static credentials or repeated challenges. Together, context-based attestation and context-based authentication enable a security model grounded in continuity, reducing friction for trusted users while maintaining high assurance as conditions change.
Why Context-Based Attestation Matters Now
Identity-related attacks increasingly rely on impersonation rather than credential theft. Stolen identity documents, synthetic identities, deepfake-assisted interviews, and automation of social engineering have expanded the attack surface across onboarding, access provisioning, and account recovery.
Gartner®’s note urges organizations to address this risk by deploying identity verification and assessing contextual risk signals across multiple stages of hiring and workforce workflows. The research emphasizes correlating signals across stages of interaction rather than relying on single verification events.
At the same time, common verification techniques face clear limitations:
- Identity documents can be stolen or convincingly forged
- Deepfake detection remains probabilistic and adversarial
- Voice-based attacks increasingly correspond in real-time with high efficacy
- Device and network signals lack meaning without correlation
- One-time checks fail to reflect how identity risk evolves over time
Historically, contextual and human signals were difficult to apply consistently and even harder to audit. As a result, organizations favored verification steps like document authentication or facial recognition because they produced clear, reviewable outcomes.
That constraint no longer holds. Contextual attestations can now be captured, orchestrated, and audited with the same rigor as traditional identity verification steps. When combined with comprehensive identity verification workflows, these attestations create a verifiable record of identity assurance across interactions.
Context-based attestation builds on this capability by using contextual information that is difficult to steal, replay, or automate, while remaining observable, reviewable, and defensible.
Key Components and How Context-Based Attestation Works
Context-based attestation combines multiple sources of organizational context into a single identity decision. These components are evaluated together, not independently.
Organizational Context
Information tied to the individual’s role, team, responsibilities, and workflows. This may include department-specific processes or recent role activity.
Situational Context
Time-bound or event-driven data such as meetings, onboarding steps, recent requests, or expected interactions. This context changes naturally and is difficult for an external actor to predict.
Peer-Based Attestation
Validation from managers, coworkers, or trusted internal contacts when additional assurance is required. This adds human confirmation without defaulting to manual reviews and is best facilitated with an in-line user experience (such as a seamless video/chat capability).
Behavioral Continuity
Consistency with prior verified interactions, including patterns of access, device usage, and engagement over time.
Adaptive Challenges
Questions or actions generated from correlated context. These are specific to the individual and situation, rather than static knowledge-based prompts.
When risk is elevated during hiring, account recovery, helpdesk interactions, or access changes, these components are evaluated together. The system determines whether the interaction aligns with known context or whether additional attestation is required.
This approach allows legitimate users to verify identity quickly while increasing friction for impersonation attempts.
Why Organizations Are Adopting This Model
Context-based attestation supports identity verification in environments where documents, biometrics, or signals alone are insufficient.
It provides:
- Higher confidence during high-risk identity events
- Reduced reliance on repeated document or biometric checks
- Improved resistance to deepfake-enabled impersonation
- Better alignment with continuous identity and insider risk programs
Most importantly, it reflects how identity actually operates inside organizations: through roles, relationships, and repeated interactions over time.
Human-in-the-loop controls and peer-based attestation will always play an important role, but they are not the end state. They’re a bridge - and the destination is context.
Moving Beyond Detection: The HYPR Identity Assurance Engine
Verification is no longer a "pass/fail" event; it is a continuous state of certainty and there are no silver bullets. HYPR addresses the limitations of traditional identity proofing by integrating context-based attestation directly into the Identity Risk Suite. By orchestrating disparate signals—from peer-based validation and organizational workflows to behavioral patterns—HYPR transforms static identity checks into a dynamic, defensible record of trust. Our platform doesn't just ask "who are you?"; it asks "does this interaction make sense?" This shift allows enterprises to neutralize deepfakes and sophisticated social engineering by grounding every access request in real-world continuity. With HYPR, organizations finally gain a verification framework that is as adaptive and resilient as the threats it seeks to stop.
Ready to Defeat Deepfakes and Synthetic Identity Fraud? Standard MFA and one-time verification are no longer enough. Experience how HYPR orchestrates real-world context and peer-based attestation to stop impersonation at scale.
Gartner, CISO Edge: Employee Onboarding Is Now Part of the Attack Surface, Akif Khan, Emi Chiba, 3 February 2026
GARTNER is a trademark of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
Mercedes Anders
Senior Product Manager, HYPR
Mercedes Anders is a Senior Product Manager at HYPR, where she leads initiatives in identity verification and fraud prevention. With a background in cybersecurity and user experience design, she focuses on developing secure, user-friendly authentication solutions. Mercedes has authored thought leadership pieces on emerging identity verification trends, including the impact of AI-driven threats and the adoption of decentralized identity systems.
Related Content
.png?width=3196&height=457&name=Affirm-CTA-02%20(1).png)