All articles tagged with #scam detection
A practical antivirus buying guide urges choosing software with automatic real-time protection, clear protection against malware, ransomware and scams, plus a firewall, quiet performance, and regular updates. Use a simple checklist—real-time protection, malware/ransomware defense, firewall, scam detection, usability, and price—to compare products rather than getting lost in marketing jargon.
Apple iOS 27 introduces Trust Insights, an on-device framework that analyzes interaction patterns, timing, context and basic sensor data to detect potential social-engineering scams in real time. It can flag medium to high risk and trigger warnings, delays or extra verification during payment, account changes, resource use, communication, or other operations. The system does not inspect content from Photos, Messages, or Mail; it discards raw data locally and only sends a single risk value to Apple servers, which may be combined with Apple Account signals. Users can disable Trust Insights in Settings, though a cooldown period is intended to prevent bypasses. Developers should provide feedback via Feedback Assistant.
Samsung's Galaxy S26 may be the first non-Pixel device to use Google's Scam Detection via Gemini Nano on-device AI and Android CallCore, offering spam-call protection with privacy benefits, though official availability remains unclear ahead of next month's launch.
Google's November 2025 Pixel Feature Drop introduces new features including message notification summaries, expanded scam detection, a Maps Power Saving Mode to extend battery life, prioritized messages from Pixel VIPs, and enhanced editing capabilities in Google Photos, among other updates, all aimed at improving user experience on Pixel devices.
Google is rolling out an update for Pixel phones that introduces notification summaries for chat conversations, along with expanded scam detection across messaging and calls, and new AI photo remixing features, primarily for Pixel 6 and newer devices, enhancing user experience and security.
Bumble has introduced a new AI tool called Deception Detector to identify and block scam accounts and fake profiles, reducing user reports of spam and scams by 45% in testing. The tool automatically blocks 95% of identified spam or scam accounts and operates alongside Bumble's human moderation team. This move comes as Bumble's research revealed that fake profiles and scams are top concerns for users, particularly women, in online dating. The Federal Trade Commission reported that romance scams cost victims $1.3 billion in 2022, with Bumble's new tool aiming to make the app safer by addressing these issues.