Agentic SOC

The architectural divide in cybersecurity is no longer theoretical. It's operational. Adversaries are deploying AI-accelerated attacks and moving laterally across domains faster than human analysts ca[…]

I’m excited to announce CrowdStrike’s agreement to acquire SGNL, a leader in identity-first security. This acquisition will extend CrowdStrike Falcon® Next-Gen Identity Security to deliver continuous,[…]

Today’s security teams need AI models that can reason over massive telemetry and support autonomous actions. At CrowdStrike, we're working closely with NVIDIA to operationalize NVIDIA Nemotron open mo[…]

Large language models (LLMs) have revolutionized artificial intelligence and are rapidly transforming the cybersecurity landscape. As these powerful models become commonly used among both attackers an[…]

The AI era is here — and it’s redefining cybersecurity. Organizations around the globe are adopting and operationalizing AI to drive innovation. At the same time, adversaries are embracing AI to incre[…]

Security teams are at a critical inflection point. AI-enabled adversaries now operate at machine speed, automating phases of the kill chain and scaling attacks faster than human-only workflows can res[…]

Adversaries are increasingly adopting AI technology to make their cyber operations faster, more efficient, and harder to detect. To stay ahead, defenders need intelligent systems capable of reasoning […]

Anthropic's Threat Intelligence team recently uncovered and disrupted a sophisticated nation-state operation that weaponized Claude’s agentic capabilities and the Model Context Protocol (MCP) to orche[…]

Most exposure reporting is still slow, error-prone, and disconnected from reality. Analysts spend hours collecting and formatting data using different tools that produce conflicting priorities. Report[…]

CrowdStrike is accelerating our vision for the SOC with the launch of new, specialized agents built to tackle some of the toughest modern challenges in security operations: faster data pipeline creati[…]

Every organization faces ransomware, but not every organization is prepared to handle it. The CrowdStrike State of Ransomware Survey explores the substantial gap between confidence in global businesse[…]

We are living through the fourth industrial revolution: the age of AI. Just as with the steam, electricity, and the digital revolutions that preceded it, this leap forward requires a parallel leap in […]

The widespread availability of large language models (LLMs) has driven the rapid development of generative and agentic AI applications for business use cases. These systems can reason, plan, and act a[…]

AI is transforming how organizations operate, from automating workflows to fueling innovation and competitive advantage. It’s the backbone of the modern enterprise. But while the opportunities AI pres[…]

The enterprise is undergoing the most profound technological shift since the dawn of the internet. Artificial intelligence is no longer a side project or a productivity boost — it has become the new o[…]

AI is transforming business processes and the threat landscape. CrowdStrike is expanding our AI Security Services portfolio to help organizations meet the dual challenges of securing their AI systems […]

CrowdStrike is announcing a native integration between CrowdStrike Falcon® Shield SaaS security and the OpenAI ChatGPT Enterprise Compliance API, adding visibility and security posture capabilities fo[…]

The AI battleground is here. Adversaries are weaponizing AI to launch attacks with unprecedented scale, speed, and effectiveness. In response, defenders are turning to AI as an analyst force-multiplie[…]

CrowdStrike researchers have created a proof-of-concept framework that uses dynamic feedback-guided fuzzing to identify large language model (LLM) vulnerabilities Traditional template-based testing st[…]

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[…]

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 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[…]

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[…]

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[…]

Your business is in a race against modern adversaries — and legacy approaches to security simply do not work in blocking their evolving attacks. Fragmented point products are too slow and complex to d[…]

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[…]

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[…]