NordVPN Launches iPhone Scam Call Alerts

NordVPN has launched its Call Protection feature globally for iOS, offering real-time scam call alerts without logging user conversations or call data.

NordVPN has globally launched a new feature called Call Protection for its iOS application. The tool is designed to provide iPhone users with real-time alerts when they receive a suspected scam call. According to the company, the feature works without logging or accessing the content of private conversations, ensuring user privacy is maintained. This new capability aims to address the widespread and costly issue of fraudulent phone calls by identifying potential threats before the user answers. The feature is being rolled out to all NordVPN users on the iOS platform as part of its existing security suite, expanding its protection beyond just data traffic and web browsing.

The introduction of Call Protection is significant for both individual users and organizations. Phone-based scams represent a multi-billion dollar problem globally, and this tool provides a proactive defense mechanism on one of the world's most popular mobile platforms. For businesses, this feature can enhance the security posture of company-issued or BYOD iPhones, helping to protect employees from voice phishing (vishing) attempts that could lead to data breaches or financial loss. By integrating this directly into a widely-used VPN application, NordVPN is making advanced call security more accessible and addressing a critical vector for social engineering attacks.

Phone scams are a massive, multi-billion dollar problem. This feature from a major security vendor provides a new, privacy-focused defense layer for millions of iPhone users, including employees using corporate devices, against common social engineering and vishing attacks.

For businesses, this feature can reduce the risk of employees falling for voice phishing (vishing) scams on company-managed or BYOD iPhones. It strengthens mobile security posture by adding a layer of protection against social engineering attacks that could lead to data breaches or financial fraud.