How Cylance Prevents Zero-Day Attacks and Insider Threats Using AI

By: GoBeyond Team
July 3, 2025
3 min read
AI case study for Cylance – zero-day threat prevention with AI

Quick Overview

Cylance employs AI to analyze file and application characteristics before execution, predicting and blocking malicious threats including zero-day malware. Behavioral analysis monitors user activity deviations to detect insider threats, leveraging a model trained on billions of data points.

Cylance (BlackBerry)
Cylance (BlackBerry)
Company Size
~1,000 employees
Revenue Range
Estimated $200M+ annual revenue
Primary Challenge
Need to detect and block novel malware and insider threats before execution to prevent breaches
Key Metrics
\- High-precision threat prevention\- Blocked numerous zero-day attacks\- Reduced insider threat risks

The Problem

Traditional antivirus and detection methods were ineffective against sophisticated, previously unknown malware and insider threats.

The Solution

Utilized AI and machine learning models trained on vast datasets to predict malicious intent pre-execution and behavioral analytics to identify insider threats.

Results

\- Significant reduction in malware infections\- Early detection and prevention of zero-day attacks\- Improved insider threat visibility and mitigation\- Reduced security operations workload

“Cylance’s AI has transformed our endpoint security, stopping threats before they can execute.”

Details

Industry
Technology & SaaS
Departments
IT & Security
Use Cases
Cybersecurity
Tags
Predictive Modeling
Cost Reduction
Marketing Teams
AI Tools Used
No items found.
Sources
https://www.umetech.net/blog-posts/successful-implementations-of-ai-in-cyber-defensehttps://www.linkedin.com/pulse/case-study-role-artificial-intelligence-network-ayvon-joseph-biji-u6a7e

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