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AI & Machine Learning
CrowdStrike Researchers Develop Custom XGBoost Objective to Improve ML Model Release Stability
Extreme Gradient Boosting (XGBoost) is a valuable tool for training machine learning (ML) classifiers, which often come with the problem of surprise false positives (FPs) and false negatives (FNs). Su[…]
Byte Back: Next-Generation Malware Classification Using Binary Transformers
CrowdStrike researchers have developed a next-gen method to train byte-based Transformer blocks that help models “understand” malware files rather than rely on detecting the presence of markers During[…]
CrowdStrike Leads Agentic AI Innovation in Cybersecurity with Charlotte AI Detection Triage
AI has become both a powerful ally and a formidable weapon in today’s cybersecurity landscape. While AI enables security teams to detect and neutralize threats with unmatched speed and precision, adve[…]
Caught in the Act: CrowdStrike’s New ML-Powered LDAP Reconnaissance Detections
Early in the cyberattack kill chain, reconnaissance enables attackers to assemble critical network information to plan a tailored attack strategy. In this phase, adversaries aim to map out networks an[…]
The Evolving Role of AI in Data Protection
Each year, Data Protection Day marks an opportunity to assess the state of privacy and security in the midst of technological innovation. This year’s inflection point follows a robust dialogue on AI f[…]
CrowdStrike Researchers Explore Contrastive Learning to Enhance Detection Against Emerging Malware Threats
CrowdStrike research shows that contrastive learning improves supervised machine learning results for PE (Portable Executable) malware Applying self-supervised learning to PE files enhances the effect[…]
80% of Cybersecurity Leaders Prefer Platform-Delivered GenAI for Stronger Defense
Adversaries are advancing faster than ever, exploiting the growing complexity of business IT environments. In this high-stakes threat landscape, generative AI (GenAI) is a necessity. With organization[…]
CrowdStrike Partners with MITRE Center for Threat-Informed Defense to Launch Secure AI Project
The goal of the Secure AI project is to fortify the security of AI-enabled systems and address the unique vulnerabilities and novel adversary attacks they face Its results were used to expand MITRE AT[…]
Protect Your Weakest Link: New Account Linking Capabilities Use AI to Thwart Identity-Based Attacks
As networks become increasingly distributed, user identities are becoming a top adversary target. CrowdStrike’s 2024 Threat Hunting Report and 2024 Global Threat Report state 5 of the top 10 MITRE tac[…]
CrowdStrike Unveils AI Innovations to Expedite Security Operations and Upgrade the Analyst Experience
Modern cybersecurity is a game of speed. With attacks now happening in mere minutes, the agility with which security teams can detect and disrupt adversaries can make the difference between being the […]
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