How AI is Driving CrowdStrike ($CRWD) to 36% Growth & Market Leadership

Published in

AI Security Hub

2 min readFeb 6, 2025

The Awesome Cybersecurity Stocks project provides an overview of publicly traded cybersecurity vendors, grouped into 18 solution areas. There are 35 publicly traded cybersecurity stocks mentioned in the repository. It highlights AI-driven offerings, investor resources, and real-world examples, offering insights into the growing role of artificial intelligence in the cybersecurity industry.

2024 Cybersecurity Market Snapshot Report

4% Increase in Funding: Total funding reached $14B across 621 rounds.
M&A Activity: 271 transactions completed, valued at $45.7B.
AI-Focused Investments: Grew by 96% YoY (from ~$181.5M in 2023 to $369.9M in 2024). Notably, seed-stage funding surged by 226%, and pre-seed AI deals increased from 6.69% to 16.5% of all pre-seed rounds.
Business Model Trends: Product-based companies dominated funding (88% of total, $12.3B), while service/hybrid models are gaining traction.
Geographical Distribution: The U.S. led with $10.9B (83% global share); Europe, Israel, and Asia contributed significant, but smaller, amounts.

CrowdStrike Falcon Platform

CrowdStrike’s Falcon platform integrates both Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) capabilities. Specifically, Falcon Insight XDR extends traditional EDR by incorporating telemetry from multiple domains, enhancing threat detection and response across an organization’s entire security stack.

Cloud Security & Anomaly Detection

Falcon Insight XDR analyzes cloud activity logs from AWS, Azure, and GCP to detect attack patterns and security misconfigurations. Statistical anomaly detection is used to identify unauthorized modifications to cloud-hosted applications, including unusual credential usage and misconfigurations.

ExPRT.AI — Threat Prioritization

ExPRT.AI enhances vulnerability prioritization by correlating CVSS data with real-time threat intelligence from Threat Graph via machine learning algorithms. This approach enhances vulnerability prioritization beyond traditional CVSS scoring by incorporating real-time threat intelligence.

Charlotte AI — Security Automation

Charlotte AI automates security workflows through natural language processing (NLP) and multi-agent architecture, integrating large language models (LLMs) and task-specific agents for EDR query generation, incident summarization, and workflow automation.