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Jan 3, 2025

Full Speed Ahead: Why a Fortune 500 Automotive Leader Trusted Abnormal to Fill Gaps Left by Proofpoint

Discover how Abnormal's AI reduced this Fortune 500 automotive retailer and transportation services provider's risk, detecting 5,699 attacks Proofpoint missed and saving 105 SOC hours monthly.

Wichtige Erkenntnisse

Proofpoint missed 5,699 malicious messages in 3 months, including 4,623 credential phishing and 184 invoice fraud attacks caught by Abnormal.

Undetected attacks over that period carried an estimated annual financial risk exceeding $4.72M in potential losses.

Abnormal's AI Security Mailbox freed ~105 SOC analyst hours per month by automating review of 1,582 user-reported emails.

Over 1.6M graymail messages in one quarter saved employees up to 759 hours monthly once Abnormal automated filtering.

Positioning a behavioral AI layer downstream of a SEG quantifies gateway gaps with concrete detection and cost data.

About the Customer

  • Industry: F500 Automotive Retail and Transportation Services

  • Mailboxes: 17,000+

  • Email Infrastructure: Microsoft 365 E3 + Proofpoint Secure Email Gateway + Abnormal Human Behavior AI Platform

Customer Challenges: Concerns with Proofpoint's Secure Email Gateway

Abnormal transformed this Fortune 500 global automotive retailer and transportation services provider’s overall security stack, offering more comprehensive protection and detecting advanced attacks that its Proofpoint SEG was failing to catch.

Positioned downstream in the mail flow, Abnormal detects only threats that bypass the gateway, capturing data that demonstrates the SEG’s shortcomings, including:

  • Detection Efficacy:

    • During a three-month period, Abnormal detected 5,699 malicious messages that Proofpoint missed, including 4,623 credential phishing attacks and 184 invoice fraud attacks.

  • Workforce Productivity Impact:

    • Over that same quarter, the company’s employees received more than 1,639,000 graymail messages. Without an effective graymail filtering solution, these emails would have cluttered inboxes and required significant time for manual deletion.

  • SOC Productivity Impact:

    • Within this timeframe, employees reported 1,582 emails for review. Since each email takes an average of 15 minutes to manually review, the SOC faced a potential loss of up to 131 hours of productivity each month without AI-powered automatic remediation.

Abnormal’s Solution: Better Protection for Defense in Depth

With Abnormal’s AI fortifying its security framework, this international retailer and transportation services leader has reduced its risk, increased its efficiency, and boosted SOC productivity. Abnormal’s behavioral AI analyzes thousands of signals to baseline normal employee and vendor behavior and identifies high-risk anomalies with precision—protecting the organization from sophisticated attacks that traditional defenses like Proofpoint can miss.

  • Risk Avoidance:

    • Based on the number of attacks identified for remediation, the average compromise rate Abnormal has observed for the customer’s industry segment*, and the average cost per incident**, the malicious emails missed by Proofpoint over the three-month period could have resulted in estimated potential annual losses of more than $4,720,000 if similar undetected attacks had continued at this pace.

  • Increased Inbox Efficiency:

    • Abnormal’s AI automatically learned user preferences and decluttered employee inboxes; this functionality saved employees up to 759 hours per month*** in a single quarter.

  • Improved SOC Productivity:

    • Abnormal’s AI Security Mailbox fully automated the handling of user-reported emails. Because each email previously required an average of 15 minutes of SOC analyst time to review, this freed up an average of 105 SOC hours per month during a one-quarter observation period.

Because of Abnormal, this multinational transportation services provider can now feel more confident in its defense-in-depth security stack. Implementing the Abnormal Human Behavior AI Platform ensures that additional attacks are stopped, more employee time is saved, and the SOC team is freed to focus on higher-priority tasks.

Find out why enterprises across industries are moving from Proofpoint to Abnormal. Get started with a demo today, and we’ll show you the proof of the Abnormal value.

* Source: Abnormal Internal Operations Data

** Source: Average cost figures taken from the following third-party studies: NetDiligence Cyber Claims Study 2023 Report, 2023 Unit 42 Ransomware and Extortion Report, IBM Cost of a Data Breach, The Parallax View

***Based on the following calculation: 1,639,848 graymail messages* 5 seconds required to read each message

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