NOMINATION HIGHLIGHTS

According to Gartner, global information security spending is projected to reach $238 billion in 2026. Yet breaches remain widespread, largely because attackers exploit identity rather than technical vulnerabilities. Instead of hacking systems, adversaries log in using stolen or compromised credentials, often obtained through social engineering. More than 69% of organizations report an increase in identity-related breaches.

Attackers now employ sophisticated techniques such as MFA bypass, SIM swapping, and help desk manipulation. High-profile incidents, including those involving Scattered Spider, demonstrate that adversaries target the weakest points in identity workflows, including customer service and employee onboarding. Traditional identity and access management, especially credential-only and knowledge-based authentication, is no longer sufficient against threat actors armed with stolen identities and advanced social engineering methods.

Effectively countering the threat posed by fraudulent identities requires a holistic approach that can be orchestrated across different enterprise workflows, including customers, third parties, and the workforce, and that can adapt to evolving identity attack patterns.

A holistic approach also enables enterprises to better identify broader patterns of identity fraud. Organizations must ensure they see the full landscape of identity threats rather than isolated incidents. Focusing identity verification on a single application or a small set of use cases can obscure larger identity fraud patterns that span multiple systems and business units.

ID Dataweb helps enterprises prevent identity fraud and account-related threats through real-time detection and mitigation while maintaining seamless user experiences. Its platform combines adaptive identity verification, behavioral analytics, device and credential intelligence, and risk scoring to detect and stop identity-based attacks proactively.

By ingesting a wide range of authoritative identity sources, proprietary and third-party risk signals, and customer attributes, the ID Dataweb Platform can normalize and contextualize data to verify that users are who they claim to be and, more importantly, detect anomalies across an organization’s attack vectors to mitigate identity threats. This enables organizations to address critical use cases such as account takeover prevention, login verification, onboarding, password resets, account recovery, and call center fraud prevention.

Unlike static legacy tools, the ID Dataweb platform delivers dynamic, multi-layered risk orchestration that adapts to evolving threats. Its cloud-native, low-code architecture integrates with existing IAM systems and supports consistent identity verification across workflows. By consolidating identity security into a single platform, organizations reduce fragmentation, strengthen protection, improve compliance, and accelerate Zero Trust adoption.