CrowdStrike

The exploit window is shrinking. The adversary is accelerating. Frontier AI is removing the friction that once slowed cyberattacks — accelerating vulnerability discovery, exploitation and attack execution. Security teams can’t fix everything. They need to know which risks are truly exploitable — and act before adversaries do. Discover how Frontier AI is rewriting cyberattacks and what defenders can do next. Read the eBook → https://lnkd.in/ezpUjgXf

Threat intel is only as useful as the action it drives. What changes when AI agents can help close the gap between research and response, while keeping analysts in control? Watch the full lightboard to see it in action: https://lnkd.in/eM7u3E5V

Threat actors would rather log in than hack in. As adversaries evolve their reasoning in seconds, compromised credentials give them a direct path into the enterprise, making identity one of the most critical battlegrounds in modern cybersecurity. See how CrowdStrike is helping defenders stop identity-based attacks before legitimate access becomes an adversary advantage. 👇 https://lnkd.in/egWBzyeE

The people solving today's toughest security challenges are taking the stage at Fal.Con Europe. Hear from experts at Amazon Web Services (AWS), BT Group, Carlsberg, Intel, Salesforce, and more. Discover the lessons, strategies, and insights they're putting into practice every day. Explore the speakers → https://lnkd.in/ep4hwc4e 📍 2–4 November | Barcelona

Building the cybersecurity leader starts with challenging the status quo. CrowdStrike Co-Founder and CEO George Kurtz joined MBA students at Harvard Business School for The Leader’s Forum, sharing the vision behind CrowdStrike, lessons from his journey as a founder and CEO, and why the next era of technology demands a new approach to cybersecurity. Watch the conversation for George's perspective on entrepreneurship, leadership and building for what's next. 👇 https://lnkd.in/eqpNQQNG

Generic frontier models are powerful generalist. They weren't built to be security experts. At CrowdStrike, we've spent 15 years understanding how the world's most sophisticated adversaries operate and how to stop them. With our new Cybersecurity Superintelligence Lab, we've turned that expertise into purpose-built models, harnesses, and evaluations that investigate, attack, defend, and continuously improve. We call that SafeMind, our security AI factory. Models provide intelligence, and harnesses help operationalize that intelligence into a defender advantage. The defender's advantage starts now. I enjoyed digging into the details of SafeMind with Cole Grolmus, who captured our approach and made a great article. Full link below. https://lnkd.in/eSkcJDry

Autoleague approved one AI tool for employee use. CrowdStrike showed 487 AI applications being used across the business in a single week. For one of Australia’s largest automotive retailers, that visibility is critical as AI adoption accelerates across more than 50 dealerships and 2,000 employees. With the Falcon platform, Autoleague is strengthening security across endpoints, identities, SaaS, and SIEM, while giving its lean security team greater visibility into emerging risk. See how Autoleague is securing rapid growth and AI adoption with CrowdStrike: https://lnkd.in/eZQeHikm

CrowdStrike is #1 on Cyber Magazine’s list of the Top 10 Machine Learning Threat Detection Companies. As threats move at machine speed, defenders need AI-powered security built to detect and stop sophisticated attacks faster. See why CrowdStrike tops the list: https://lnkd.in/e6eTuyiB

When adversaries operate at machine speed, what happens to the humans defending against them? In the latest episode of 27 Seconds, CrowdStrike CMO Jennifer “JJ” Johnson sits down with Toni-Ann Grant, Principal Security Architect at BT Group, to explore a side of AI-powered cybersecurity that doesn't get enough attention: the impact on defenders themselves. Hear Toni-Ann's perspective on AI at scale, the evolution of the SOC, and why the future of cyber defense requires both machine-speed technology and human judgment. ▶️ Watch now: https://lnkd.in/eK52pa45

New CrowdStrike Cyber Superintelligence Lab research examines how attackers could circumvent LLM safety classifiers by breaking harmful tasks into benign requests and reassembling the outputs. This technique produced working offensive code across 9 of 10 tested categories, highlighting how adversaries could exploit multimodel AI systems. The findings can help strengthen AI safety architectures against emerging attack techniques. Explore the research → https://lnkd.in/e2hgBsZc