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Broadcom adds Arcot Scam Defense to 3-D Secure authentication

Original title: Broadcom adds real-time scam detection to 3-D Secure authentication

Help Net Securityby Industry News ()2 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

Broadcom says reviewing one issuer’s top 1% of successful challenges could have covered about $4 million in a month.

Broadcom launched Arcot Scam Defense, a feature of Arcot by Broadcom meant to flag social-engineering fraud during card-not-present payments after a cardholder completes 3-D Secure. It scores transaction, device, history, and challenge signals, and can use third-party data on whether the authenticating device is on a phone call. Broadcom says nearly half a billion dollars in fraud was reported over 12 months on successfully authenticated challenges. In a one-month pilot, one issuer’s top 1% of successful challenges would have protected an estimated $4 million at a 0.38-point drop in authentication success.

Unconfirmed: The fraud total and pilot savings are Broadcom’s figures from its own testing, not an independent measurement.

Key facts
  • Cited signals include location or behavior gaps, delayed OTP entry, and distance between devices.
  • An active phone call on the authenticating device is described as a prime social-engineering indicator.
  • Broadcom plans more signals and a challenge-history profiling engine.
  • Arcot by Broadcom is limited to 3-D Secure payment authentication.
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From the original article

2 min read at helpnetsecurity.com

Broadcom has announced the launch of Arcot Scam Defense, a new feature of Arcot by Broadcom, designed to block social engineering fraud during card-not-present (CNP) transactions. “Financial institutions are experiencing broad increases in fraud attempts driven by sophisticated, AI-enhanced social engineering attacks,” said Matt Cooke, VP and GM, Payment Security Division, Broadcom.

Help Net Security

By Industry News · helpnetsecurity.com

Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.