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When Valid Isn’t Legitimate: 5 Numbers That Define the Microsoft 365 Security Gap

Explore the Microsoft 365 security gap in five numbers and see how behavioral AI helps protect against threats that exploit legitimate identities, applications, and workflows.

Key Insights

The average Abnormal customer sees approximately 462 advanced attacks bypass Microsoft native controls per month for every 1,000 mailboxes.

Attack volume bypassing Microsoft 365 native controls has increased 48% over the past two years.

Security AI and automation helped organizations identify and contain breaches 65 days faster, reducing average breach costs by $1.93 million.

Microsoft 365 provides a strong foundation for email security, identity, and collaboration. But some of the most consequential attacks exploit activity that appears entirely legitimate: a valid sender, an authenticated account, an approved application, or a permitted configuration.

These threats are difficult to identify through conventional filtering because they often contain no known malicious indicators. Recognizing them requires an understanding of normal behavior across communications, identities, applications, and the broader Microsoft 365 environment.

When Valid Isn’t Legitimate: 5 Numbers That Define the Microsoft 365 Security Gap examines the scale of this challenge and how organizations can strengthen Microsoft 365 security with behavioral detection, continuous posture management, and automated response, without adding a secure email gateway or changing mail flow.

Download the report to learn:

  • Five numbers that illustrate the scale, cost, and operational impact of threats targeting Microsoft 365
  • Why legitimate-looking messages, authenticated identities, and approved applications can evade conventional detection
  • How behavioral AI identifies suspicious activity across email, Teams, identities, and applications
  • How continuous posture management and automated response help reduce exposure and accelerate resolution

Fill out the form to get your copy.

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See Abnormal in Action

See how behavioral AI detects the attacks that legacy defenses miss.