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Latest coverage for Scam

Scams use deception to steal money, credentials, or sensitive data, making them a cybersecurity risk for individuals and organizations.

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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.

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Bank Info Security 1 year, 6 months ago

Cryptohack Roundup: BitMEX's $100M Penalty

Also: US Govt Seeks Return of Hack Funds to Bitfinex; Mango Markets ShutsThis week, BitMEX fined $100M, prosecutors sought return of Bitfinex funds, Mango Markets shut, a Web3 attack method; pastor charged in crypto scam, CFPB proposed firms refund hack victims, 2024 crime stats, Wolf Capital co-founder's guilty plea, Thai Bitcoin miners seized and a New York AG lawsuit.

Bank Info Security 1 year, 6 months ago

FRAML Reality Check: Is Full Integration Really Practical?

Experts Weigh the Pros and Cons of Work Culture and Merging AML and Fraud TeamsA recent report found that more than 57,000 Americans fall victim to scams every day. Financial fraud is rising globally. In response, the National Automated Clearinghouse Association is pushing for real-time fraud monitoring by 2026, requiring closer collaboration between fraud and AML teams.

Alterya's AI-Powered Data Will Combat Scams Across Traditional Financial EcosystemsAlterya's AI agents now power Chainalysis' fraud prevention, integrating off-chain data sources like Venmo and Zelle with blockchain analytics. This acquisition marks a significant step in detecting and stopping scams earlier in the fraud cycle, said CEO Jonathan Levin.