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Webinar:
Reducing Supply Chain Risk by Stopping Invoice Fraud

Date: Thursday, September 24, 2020  |  Time: 10:00 am PT / 1:00 pm ET

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No matter how good your own security is, your supply chain may be your weakest link. That's because invoice fraud attacks coming from compromised or impersonated vendors can be some of the most financially damaging attacks that hit organizations.

Abnormal Security has seen attackers attempt to steal hundreds of thousands of dollars – sometimes in a single invoice or PO – from organizations. These attacks are targeted, and attackers will often impersonate or compromise trusted vendors.

In this webinar, Abnormal Security's Chief Product Officer, Rami Habal, will discuss the types of sophisticated invoice fraud attacks that are hitting organizations. He’ll talk about the advances in detection techniques that allow Abnormal to detect and stop these attacks before payment is made or products are shipped, thereby preventing large financial losses in these times of economic uncertainty.

In this webinar, you'll learn:

  • Techniques that attackers use to commit invoice fraud
  • Why these attacks are so difficult for traditional email security tools to detect
  • How Abnormal detects and stops these attacks from reaching your AP teams

Speaker

Rami_Habal_on_click.jpgRami Habal is the Chief Product Officer at Abnormal Security, where he leads the company’s product vision, strategy and execution. He brings a wealth of strategic and operational experience in cybersecurity and applied machine learning, as well as a blend of consumer and enterprise expertise. Previously, Rami held various product leadership roles at Amazon Alexa, led product marketing and sales at Swagger (acquired) and led product management at Reverb (acquired) as VP of Product. Rami also led product management and marketing at Proofpoint (from company inception to IPO) for its inbound and outbound cybersecurity products. Rami has held positions at Mohr Davidow Ventures, Cisco, and Hughes Network Systems. Rami holds an MBA from MIT Sloan, an MPA from Harvard University; an M.S. Computer Science from Johns Hopkins, and a B.S. Electrical Engineering from the University of Virginia.

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