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.
The Result
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 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.

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).

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
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.

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.

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