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Modern Architecture For Modern Protection

Abnormal AI vs. Check Point(Avanan)

Abnormal is purpose-built for the modern cloud email environment with a pure API architecture that is designed to block advanced attacks—without rerouting mail, delaying delivery, or increasing operational burden.

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Award-Winning Recognition

Trusted by more than 3,000 customers—including 25% of the Fortune 500

The Result

Streamlined Protection That Detects Advanced Attacks

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.

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Abnormal’s AI Ingests Over 50,000 Behavioral Signals

Abnormal’s Behavioral AI is a key advantage in how we protect our customers.

  • Our AI ingests over 50,000 behavioral signals such as natural language indicators (tone, urgency, topic), third-party app permissions, mail configuration changes, device and location telemetry, attachment and URL characteristics.
  • Comprehensive AI analysis baselines known-good behavior within the customer tenant.
  • This allows us to detect subtle, intent-based anomalies and remediate threats before user interaction.

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Check Point’s AI Relies on Known-Bad IOCs

Check Point’s AI primarily uses known-bad threats and predefined threat signatures to protect customers.

  • This includes known-bad static inputs like IOCs, regex patterns, and threat intelligence.
  • Their documentation does not call out unique user behavioral baselines over time.
  • This detection approach may have challenges in detecting attacks without IOCs—like advanced business email compromise (BEC) and vendor email compromise (VEC).
Source

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Read more about how Abnormal’s Behavioral AI was able to detect and remediate advanced phishing and fraud attacks that Check Point missed in this blog

Abnormal’s Advanced Protection

Pure API Architecture Enhances Detection and Response

Abnormal’s pure API deployment is designed to:

  • Remediate threats before user interaction.
  • Not disrupt mail flow or interfere with Microsoft-native protections.
  • Preserve privacy by not storing legitimate communications.
Check Point falsely claims to have the same API architecture as Abnormal. In reality, they use transport rules and leverage the API for post-delivery remediation that has a documented five minute delay. Source

Identical Pre- and Post-Sales Experience

Abnormal’s Proof of Value (POV) is identical to the experience our customers receive in production:

  • Typical deployments take a couple of clicks.
  • The same API-based architecture powers both our POVs and customer environments.
  • No hidden changes. No surprises.
Check Point uses a journaling approach during the POV, but then typically shifts to an inline architecture when the prospect becomes a customer.

Our Impact

With our previous SEG, the features got shinier, the knobs turned a bit differently, but the core technology had been the same for quite some time. Abnormal’s AI is constantly learning and retraining, getting updates in near real-time, with auto-remediation and automation we can trust. We went from 12 FTEs for email security to 1/4 FTEs with Abnormal.”

— Director of Information Security, Fortune 50 Retailer
Our Impact

We have every SEG known to man, but threat actors are targeting manufacturing more, and we never want to lose factory availability. Approximately 50-60% of those attacks are initiated through phishing, but traditional SEGs can’t look at the context of what’s in an email to block them…The only way to combat that social engineering is with a product like Abnormal that uses AI to understand email content and context.”

— Jeff Deakins, Director, Information Security and Infrastructure at Marmon Holdings
Our Impact

The realization of value [with Abnormal] was almost immediate—real-time visibility into attacks going on in the environment that are bypassing the traditional defenses. Abnormal provides the ability for us to scale with confidence, because we know that we’re going to get the same quality of protection at one person as at 28,000.”

— Ryan Fritts, CISO at ADT
Our Impact

From day one, Abnormal has made it simple. They have been consultative and proactive, showed quick value upon integration, and the decision to switch was easy when we realized the time savings and greater protection we got from a better partner.”

— CISO, Fortune 200 FinTech
Our Impact

Abnormal provided a clear improvement over Proofpoint in both detection and cost savings. The transition was smooth, and the results speak for themselves.”

—CISO, F1000 Manufacturer

How Abnormal Delivers on Key Customer Needs Compared to Check Point

Value

Check Point (Inline Deployment)

Abnormal AI

Pure API Deployment

Check Point (Inline Deployment)

 No (transport rules and journaling)

Abnormal AI

Yes

Pre/Post-Sales Consistency

Check Point (Inline Deployment)

POV via journaling, production uses inline approach

Abnormal AI

Pure API for POV and production

Behavioral AI

Check Point (Inline Deployment)

Primarily threat intel, regex, known-bad anomaly modeling

Abnormal AI

Ingests 50,000+ behavioral signals

Remediation

Check Point (Inline Deployment)

API is leveraged for post-delivery remediation (10 second - 5 minute delay)

Abnormal AI

Before user interaction

User-Reported Phishing

Check Point (Inline Deployment)

No interactive responses

Abnormal AI

Automated triage with interactive GenAI

Source

The Results Speak for Themselves

3,000+
Trusted by over 3,000 organizations, including more than 22% of the Fortune 500.
Time To Value
Unified, modern architecture across all deployments.
Win Rate
Abnormal is frequently chosen in head to head evaluations against Check Point.
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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.