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Purpose-Built Email Security

Abnormal AI vs. Darktrace

Abnormal AI was engineered from the ground up to secure the email environment—no bolt-ons required. Our native API architecture enables seamless integration, while powering precise, automated threat detection and response.

The Result

Faster Protection Against Advanced Attacks That Others Often Miss

Advanced Protection Requires Deep Behavioral Analysis

Modern email attacks rarely contain known-bad indicators of compromise. Instead, cybercriminals are exploiting trust, legitimate infrastructure, and security blind spots through socially engineered attacks. Abnormal has witnessed threat actors:

  • Use QR codes and social engineering, not payloads.
  • Launch attacks from compromised internal and vendor accounts.
  • Abuse OAuth tokens and bypass MFA.

Abnormal's Architecture Enhances Threat Detection

Abnormal’s API-native architecture is a foundational advantage in how we protect our customers because:

  • It provides seamless protection, streamline operations, and remediates before user interaction.
  • It powers our Behavioral AI, which ingests over 50,000 signals across email content, identity data, SaaS activity, and communication patterns.
  • It allows for comprehensive analysis which understands normal communication patterns for each account—enabling precise detection of even the most subtle and sophisticated threats.

Darktrace’s Architecture Can Put Accounts At Risk

Darktrace encourages customers to use a partial API architecture with journaling, which:

  • Differs from the Pure API architecture that the prospect experienced during Proof of Value.
  • Can create processing delays during high email volumes which then delays threat remediation.
  • Can raise privacy concerns because journaling requires the vendor to store every customer email for weeks at a time.
Source 01, Source 02 and Source 03

Abnormal’s Advanced Protection

Internal Account Takeover (ATO)

Abnormal is designed to automatically detect and remediate internal account takeovers by:

  • Monitoring login patterns and identity metadata via Microsoft Graph API.
  • Flagging suspicious inbox rule changes or MFA updates.
  • Revoking sessions, triggering password resets, and notifying admins—all without SOC involvement.
Darktrace does not provide full autonomous remediation for anomalous logins out-of-the-box; it relies on Microsoft logs for visibility and requires additional paid modules (like Darktrace/Identity) for those capabilities.

Source

Vendor Email Compromise (VEC)

Abnormal’s VendorBase™ uses federated intelligence from 3,000+ customers to:

  • Baseline normal vendor communication.
  • Detect indicators of suspicious financial requests (e.g., sudden banking changes.)
  • Identify impersonation attempts—even when SPF, DKIM, and DMARC pass.
Darktrace lacks federated vendor intelligence and instead relies on detecting anomalies in vendor behavior only within the customer’s own environment.  Source

How Abnormal Delivers on Key Customer Needs Compared to Darktrace

Value

Darktrace

Abnormal AI

Architecture

Check Point (Inline Deployment)

Journaling-Based Retrofit and partial API approach

Abnormal AI

API-First, Cloud-Native

Onboarding

Check Point (Inline Deployment)

Multi-Step Setup that often requires multi-week learning period.

Abnormal AI

Typically <30 Minutes, No Mail Flow Changes

Internal Email Visibility

Check Point (Inline Deployment)

Requires Darktrace/Network purchase

Abnormal AI

Included by Default

Privacy

Check Point (Inline Deployment)

Stores Copies of All Emails

Abnormal AI

In-Memory Analysis

False Positive Reporting

Check Point (Inline Deployment)

Manual via Microsoft

Abnormal AI

One-click fix with Detection 360

Source

Proven Results

Time To Value
Abnormal AI goes live in minutes.
3,000+
Trusted by over 3,000 organizations, including more than 22% of the Fortune 500.
Win Rate
Abnormal is frequently chosen in head to head evaluations against Darktrace.
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See How Abnormal AI Protects Humans

DISCLAIMER: The foregoing is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Abnormal AI’s products remains at the sole discretion of Abnormal AI and is subject to change. The comparative statements are based on publicly available information as of May, 2025 and may not reflect the most current configurations or features.