Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Your CFO Just Left You a Voice Note. It Wasn't Her.

A voice note from your CFO on WhatsApp. Her cadence, her urgency—and a reference to a confidential acquisition discussed in a real meeting last Tuesday. North Korea's Blue Noroff builds these backwards: compromise a junior employee's calendar or inbox first, then train a voice model on the stolen context. By the time anyone thinks to verify, the emergency transfer is already sitting in an offshore account.

How to Reduce Payment Fraud Risk Without Adding Customer Friction

Reducing payment fraud risk requires giving existing fraud controls enough context to distinguish higher-risk interactions from routine activity, rather than applying more checks to every customer. That distinction matters. UK Finance reported that criminals stole almost £1.3 billion through authorized and unauthorized fraud in the UK during 2025. Authorized push payment fraud alone accounted for £576.4 million, up 19% year over year.

How AI Phone Calling Is Changing Voice Phishing Defense

Phone scams have been around for decades, but the last few years have brought a sharp shift in how convincing they've become. Voice phishing, often called vishing, used to rely on generic scripts and a scammer's ability to sound believable. Today, the same technology that powers helpful tools like AI phone calling is also being studied and used to fight back against these scams.

Twitter Brand Impersonation: How Security Teams Detect Fake Accounts and Phishing on X

Most brand impersonation starts in public. A lookalike support handle appears, replies to real customers under your official account, and links to a credential-harvesting page. By the time it reaches a takedown vendor's weekly report, the damage window has been open for hours.

Why slow fraud investigations cost more than you think: The ROI case for AI-assisted investigation

Fraud doesn’t wait for your investigation queue. Every minute an alert sits unresolved gives fraudsters more time to move the money. Yet at most financial institutions, a single case still takes an analyst 10 to 30 minutes to investigate — pulling transaction history, checking device and behavioral data, weighing risk signals and documenting a decision. Multiply that by hundreds or thousands of alerts a day, and slow investigation isn’t just an inconvenience.