Surfshark Debuts AI Scam Text Protection to Combat Smishing Surge

Surfshark has released an AI-driven mobile feature called "Scam Text Protection" to defend users against the growing threat of smishing. The tool is currently rolling out to Surfshark One and Surfshark One+ subscribers on both iOS and Android platforms, though it remains unavailable to those on the Surfshark Starter plan.

The feature utilizes on-device analysis to detect phishing patterns in incoming messages and route them away from the user's primary inbox. Implementation varies by operating system: flagged messages are moved to the Spam folder on iOS, while Android users receive a real-time notification prompting them to review or delete the suspicious message.

The Rise of Smishing

This launch arrives as text-based phishing, or smishing, has become a primary vector for cyberattacks. According to Kaspersky research, approximately 35% of all phishing attempts globally now arrive via text message. This shift is largely driven by the fact that consumer SMS filtering is significantly weaker than corporate email filtering, and users generally place a higher level of trust in text messages than in emails.

Attackers exploit this trust by sending low-cost, high-volume messages disguised as urgent bank alerts, IRS notices, or package delivery notifications. These tactics have proven highly effective, resulting in a massive increase in volume and financial loss. In 2023, Americans received an estimated 19.2 billion spam texts per month—a figure that has roughly tripled since 2021, based on Robokiller data.

Financial and Industry Impact

The consequences of these campaigns are measured in hundreds of millions of dollars. According to FTC data, Americans lost $373 million to text-based scams in 2023, representing a nearly 15% increase over 2022. As these scams evolve from simple nuisances into sophisticated financial threats, the industry is seeing a greater need for specialized defense layers.

Privacy-focused tools that can filter scams without compromising user data are becoming critical, particularly for non-technical users. By processing data locally on the device, tools like Surfshark's aim to provide a shield against AI-driven phishing campaigns without the privacy risks associated with cloud-based message monitoring.

What to Watch

As smishing continues to scale, the effectiveness of on-device AI filtering will be a key metric for mobile security. While Surfshark has introduced this as a subscription-based feature, the broader industry trend suggests a move toward more integrated, native SMS protections to counter the tripling of spam volume seen over the last few years.