Scams Now Make Up 75% of Cyber-Threats
Norton report warns generative AI is making an impact
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.
Norton report warns generative AI is making an impact
One in 10 have suffered from fraud in past 12 months
Sophos researchers highlight a highly sophisticated operation utilizing fake trading pools of cryptocurrency from DeFi trading applications