For years, Short Message Service (SMS) one-time passwords (OTP) worked well enough. If you could receive a code at a phone number, you likely controlled the account. When porting required showing up at a carrier store with ID, that assumption generally held. It no longer does. The…
Many organizations do not miss account takeover attacks because they lack controls. They miss them because they interpret the wrong risk signals or reduce useful signals to a simple pass-or-fail outcome. The issue is not only whether a credential, device, phone number, or recovery factor can be validated.
Most enterprise teams already understand the critiques of Short Message Service (SMS). Codes can be intercepted, phished, or redirected. Yet phone numbers remain embedded in too many critical flows. They are still a standard recovery channel and second-factor authenticator. The problem is that a phone number is not…
Phishing-as-a-service has turned identity abuse into a supply chain. Attackers no longer need deep technical skills to run phishing infrastructure. For defenders, keeping pace is difficult without visibility across the entire identity ecosystem.
Effective document fraud detection requires layered defenses. Only through risk signal correlation can enterprises move beyond false confidence and achieve measurable fraud reduction.
Some of the most disruptive breaches in recent years began with nothing more than a compromised credential. Organizations that continue to focus primarily on perimeter controls and point-in-time authentication are defending against an outdated threat model.
Stale credentials, outdated phone numbers, and orphaned accounts may be unglamorous, but they routinely undermine otherwise robust identity fraud and security defenses. Read more about the role of data hygiene in identity security.
Phishing has always been a numbers game, but artificial intelligence (AI) is changing the rules. Fraudsters now use AI to craft more convincing and human-like scams at scale.
Attackers thrive on predictability. When every customer encounters the same authentication flow, a fraudster who defeats it once can repeat the attack at scale. What is needed is an approach that dynamically adjusts defenses based on risk.
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.