Google Chrome now lets you turn off on-device AI model powering scam detection
Google Chrome now lets you delete the local AI models that power the "Enhanced Protection" feature, which was upgraded with AI capabilities last year. [...]
Scams use deception to steal money, credentials, or sensitive data, making them a cybersecurity risk for individuals and organizations.
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Background for this topic.
Scams are deceptive schemes intended to make people surrender money, credentials, sensitive information, or access. In information security, they commonly use phishing messages, impersonation, fraudulent websites, business-email compromise, fake technical support, or malicious attachments. Their defining feature is manipulation: the attacker creates a credible pretext and pressures the target to act before verifying the request.
Security teams should treat scams as an attack surface spanning email, messaging, telephone calls, social media, and payment workflows. Material risks include account takeover through stolen credentials, unauthorized payments, disclosure of personal or company data, and malware execution from deceptive content. Useful controls include phishing-resistant authentication, secure payment-change procedures with independent verification, filtering and domain protections, user training focused on reporting, and rapid review of suspicious messages or transactions. Incident handling may require revoking sessions, resetting credentials, contacting financial institutions, preserving evidence, and notifying affected parties where applicable.
Google Chrome now lets you delete the local AI models that power the "Enhanced Protection" feature, which was upgraded with AI capabilities last year. [...]
U.S. digital investment advisor Betterment confirmed that hackers breached its systems and sent fake crypto-related messages to some customers. [...]
Scammers are flooding LinkedIn posts with fake "reply" comments that appear to come from the platform, warning of bogus policy violations and urging users to click external links. Some even abuse LinkedIn's official lnkd.in shortener, making the phishing attempts harder to spot. [...]