samsung electronics has officially unveiled a brand-new security framework for its galaxy series, addressing key pain points in mobile financial security. centered around three core principles—“pre-emptive identification, real-time intervention, and proactive blocking”—the new system redefines the defense architecture, enabling end-to-end closed-loop protection that spans risk detection, behavioral analysis, and threat response.
this upgrade encompasses four intelligent protection modules: dynamic interception of high-risk phishing apps, smart filtering of scam messages, ai-powered answering and content summarization for unknown calls, and real-time alerts for suspicious telecom fraud calls. notably, the foldable flagship device set to debut in london this july will be the first to feature one ui 9.0, introducing next-generation runtime phishing app interception technology—breaking free from traditional static detection limited to the installation phase. this advanced capability allows for immediate freezing and forced deactivation of apps already installed but later identified as malicious, while also providing one-click uninstallation guidance.
the underlying logic relies on multi-dimensional dynamic assessment: during installation, it instantly cross-references data against the galaxy store’s credit database; for apps introduced during high-risk periods (such as within hours after a scam call) or through abnormal installation paths (e.g., remote-control‑induced installations), a pop-up warning is triggered upon first launch, accompanied by risk‑tracing explanations and uninstallation recommendations.
of particular note, samsung has simultaneously upgraded its security policy distribution mechanism. through close collaboration with the korean national police agency and the korea internet & security agency (kisa), the galaxy s26 series now supports second‑level policy updates across all network environments. additionally, for the first time, it integrates a deep-learning model co-developed with kisa, enabling real-time on-device identification and interception of malicious sms and mms messages. furthermore, a localized ai call‑screening engine has been added, allowing automatic responses to unknown callers and generating semantic summaries without uploading voice data, while continuously analyzing conversational patterns to detect scam intentions and promptly delivering visual risk warnings to users.
