Unlike traditional robocalls, AI-generated voices sound natural. This guide explores how AI voice fraud exploits conventional call center security and how a multi-layered identity verification strategy can stop it.
Telecom fraud has become a major vector for identity-based attacks. Businesses treat phone numbers as unique identifiers, however, this approach fails to account for telecom based fraud.
Modern enterprises, have invested in firewalls, encryption, and authentication. Yet call centers often remain a soft target. Agents have the authority to reset passwords and MFA. In modern account takeover (ATO) chains, identity—not credentials or firewalls—is the frontline.
Artificial intelligence has unleashed a new wave of threats for enterprise cybersecurity teams. This article explores how adaptive authentication – particularly risk-based, step-up authentication – provides an effective countermeasure to AI-driven fraud.
Call center procedures designed for customer convenience can be exploited by attackers to circumvent MFA and other guardrails. Here's how identity-threat detection and risk mitigation secures the call center.
Document verification is a preventative control that mitigates account opening fraud. This guide will examine how it works, and explain how layered threat signals enhance document verification technologies.
High-profile events in recent years have seen tickets sell out within seconds, leaving most fans empty-handed. This guide examines scalping operations ad how multi-signal, layered identity threat detection can restore access to legitimate buyers.
In the United States, around 35 million phone numbers are recycled each year. This article explores how recycled numbers enable account takeovers, then shows how ID Dataweb’s new MobileMatch risk signals address this issue.
Companies eager to fill tech roles and accustomed to interviewing candidates solely via Zoom or Skype have proven disturbingly easy to defraud. Shadow workers come into the interview process prepared with fabricated resumes and fake identities.
Even as enterprises have broadly adopted MFA for their workforces, attackers are finding ways around it. Protecting against threats to secure MFA enrollment, requires stronger identity verification and adaptive risk-based workflows.