ID Dataweb and Omdia Debunk Identity Security Myths in New White Paper

New research examines 15 common misconceptions and makes the case for moving beyond point-in-time identity verification toward continuous identity threat detection

CENTREVILLE, Va., Oct. 1, 2026 /PRNewswire/ -- ID Dataweb™, a recognized leader in identity threat detection and risk mitigation, today announced the availability of a new Omdia white paper, "Controlling Identity-Based Threats: Debunking Myths and Misconceptions." Commissioned by ID Dataweb and authored by Omdia Principal Analyst Todd Thiemann, the paper examines how persistent assumptions about identity verification and authentication can leave organizations exposed to identity-based attacks.

As remote and hybrid work, digital customer interactions, third-party access, and increasingly sophisticated attack techniques expand the identity attack surface, organizations can no longer rely solely on establishing trust at a single point in time. Omdia notes that stolen credentials, social engineering, account recovery abuse, impersonation, and other identity-based techniques allow attackers to exploit trusted identities and legitimate access mechanisms.

The white paper challenges 15 common identity security myths and misconceptions, including:

• Successful MFA proves identity. MFA can demonstrate control of an authenticator, but it does not necessarily establish who is actually behind the credentials.
• A government ID plus a selfie is sufficient. Documents, biometrics, and liveness provide valuable signals, but no individual signal eliminates identity risk.
• Identity only needs to be verified during onboarding. Risk can change throughout the identity lifecycle, particularly during account recovery, credential resets, profile changes, privilege changes, and other high-risk interactions.
• More verification friction means better security. Omdia recommends applying friction dynamically based on risk rather than subjecting every user and interaction to the same controls.
• AI agents are primarily an application or data security concern. As AI agents operate autonomously and exercise delegated privileges, organizations must treat them as identities requiring visibility, authentication, authorization, governance, and continuous threat detection.

"Organizations have invested heavily in identity verification, authentication, and access controls, but attackers increasingly exploit the gaps between these individual controls," said Dr. Torsten George, Chief Cybersecurity Evangelist at ID Dataweb. "The critical question is no longer simply whether someone could prove their identity at onboarding or successfully authenticate. Organizations need to continually ask whether that identity can still be trusted. This Omdia white paper provides an important framework for understanding why continuous identity threat detection has become essential to modern identity security."

The paper distinguishes identity threat detection from traditional identity verification and authentication. Omdia defines identity threat detection as continuously evaluating identity, credential, device, behavioral, and other risk signals to identify suspicious activity, changes in trust, and potential identity-based attacks.

This approach enables organizations to move beyond a "verify once, trust indefinitely" model. Instead, enterprises can make proportionate, continuously informed trust decisions based on the identity, context, and activity involved, introducing additional controls when risk warrants them rather than increasing friction indiscriminately.

The white paper also explores the business consequences of incorrect identity and trust decisions across both workforce and customer environments, including unauthorized access, financial loss, operational disruption, regulatory risk, and reputational damage.

"Controlling Identity-Based Threats: Debunking Myths and Misconceptions" is available today from ID Dataweb.

About ID Dataweb
ID Dataweb™ helps enterprises stay ahead of identity fraud and account-related threats with real-time detection and mitigation while maintaining a seamless experience for their workforce, third parties, and customers. The ID Dataweb SaaS platform combines adaptive identity verification methods, behavioral analytics, device and credential intelligence, and risk scoring. Backed by AI and expert insights, these capabilities proactively stop identity-based attacks, protect revenue, and strengthen compliance. Unlike static legacy identity tools, ID Dataweb delivers dynamic, multi-layered risk orchestration that adapts to evolving threats. Its low-code, cloud-native services deploy quickly, integrate seamlessly with existing IAM systems, and align with each customer's policies.

For more information, please visit www.iddataweb.com.

Media Contact:
Larry Smalheiser 
WOC | Signal
[email protected]

SOURCE ID Dataweb