AI & Machine Learning

The pace and prevalence of adversarial AI is only accelerating — and organizations must harness the power of AI to stop them. CrowdStrike is building the tools they need to do it. Our latest innovatio[…]

CrowdStrike has joined Google Cloud in a shared commitment to foster an open and interoperable AI security ecosystem through the Model Context Protocol (MCP), which is built to transform how AI models[…]

CrowdStrike data scientists have undertaken research into developing innovative new self-learning, multi-agent AI systems that employ Red Teaming capabilities This new approach, presented at the NVIDI[…]

We’re excited to share that CrowdStrike Falcon® Cloud Security now offers enhanced tools to help secure artificial intelligence (AI) development, simplify AI security posture management, and quickly r[…]

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[…]

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[…]

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[…]

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[…]

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 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[…]

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[…]

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[…]

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[…]

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 […]

Every year, the role of AI in cybersecurity grows more prominent. This is especially true in the security operations center (SOC), where AI-native detection and GenAI-fueled workflows are advancing cy[…]

Since CrowdStrike® Charlotte AI™ became generally available, we’ve seen firsthand how genAI can transform security operations, enabling teams to save hours across time-sensitive tasks and accelerate r[…]

Time is of the essence when it comes to protecting your data, and often, teams are sifting through hundreds or thousands of alerts to try to pinpoint truly malicious user behavior. Manual triage and r[…]

Over the last year there has been a prevailing sentiment that while AI will not necessarily be replacing humans, humans who use AI will replace those that don’t. This sentiment also applies to the nex[…]

Since announcing Charlotte AI, we’ve engaged with many customers to show how this transformational technology will unlock greater speed and value for security teams and expand their arsenal in the fig[…]

The major news in technology policy circles is this month’s release of the long-anticipated Executive Order (E.O.) on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. […]

CrowdStrike has pioneered the use of artificial intelligence (AI) since we first introduced AI-powered protection to replace signature-based antivirus over 10 years ago, and we’ve continued to deeply […]

CrowdStrike is announcing new AI-powered indicators of attack (IoA) models, designed to combat advanced adversary tradecraft, available later this year. AI-powered IoAs use machine intelligence to sto[…]

Adversarial machine learning (ML) attacks can compromise a ML model’s effectiveness and ability to detect malware through strategies such as using static ML evasion to modify known malware variants Cr[…]

Malware gets the headlines, but the bigger threat is hands-on-keyboard adversary activity which can evade traditional security solutions and present detection challenges Machine learning (ML) can pred[…]

Machine learning models trained on both human expertise and machine intelligence are essential to synthesizing today’s volume of intelligence and maximizing model efficacy CrowdStrike’s machine learni[…]

AI-powered indicators of attack (IOAs) are the latest evolution of CrowdStrike’s industry-first IOAs, expanding protection with the combined power of cloud-native machine learning and human expertise […]

The CrowdStrike Falcon®® platform takes full advantage of the power of the CrowdStrike Security Cloud to reduce high-cost false positives and maximize detection efficacy to stop breaches CrowdStrike c[…]

The CrowdStrike Security Cloud processes over a trillion events from endpoint sensors per day, but human professionals play a vital role in providing structure and ground truth for artificial intellig[…]

Although machine learning (ML) isn’t a new concept — it actually dates back to the origins of the computer itself — it has received more attention lately as cybersecurity vendors increasingly extol it[…]