Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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 autonomously, creating security risks that traditional security tools weren’t built to handle. Their popularity has widened the attack surface, both for organizations using external LLMs and those building their own GenAI applications.

CrowdStrike is introducing the Correlation Rule Template Discovery dashboard in CrowdStrike Falcon Next-Gen SIEM to help security teams discover, adopt, and operationalize high-value detection content faster than ever. Today’s organizations are under constant pressure to stay ahead of evolving adversary tactics. They’re also ingesting security telemetry from dozens of sources: cloud platforms, endpoints, network devices, identity systems, and third-party applications.

At Fal.Con 2025, I had the privilege of addressing over 8,000 cybersecurity professionals about something that’s on my mind – and should be on all of ours: how do we fundamentally reimagine security for the age of AI? We're living through the fourth industrial revolution. The first brought us steam power, the second electricity, and the third the digital age we all know and love.

CrowdStrike has been named an innovation and growth leader in the 2025 Frost Radar: Cloud Workload Protection Platforms, positioned highest on the Innovation Index among all vendors evaluated. This marks another milestone in our mission to stop breaches with the industry's most unified and comprehensive cloud security solution.

As AI becomes an integral part of how modern applications are built and deployed, it introduces new risks and new blind spots for security teams. Large language models, machine learning packages, and embedded AI services can be hidden deep in the software supply chain or running unnoticed in production. Without purpose-built visibility, organizations risk exposing sensitive data, shipping vulnerable code, or relying on models they cannot fully govern.

CrowdStrike continues to raise the bar for modern identity protection. We are excited to announce innovations including phishing-resistant multifactor authentication (MFA), new privileged access capabilities, and identity-driven case management, all part of CrowdStrike Falcon Next-Gen Identity Security.

GenAI adoption is exploding across organizations, transforming how work gets done and where data moves. CrowdStrike is announcing four new innovations in CrowdStrike Falcon Data Protection to empower organizations to embrace GenAI tools while securing data across endpoints, cloud, GenAI, and SaaS environments.

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 presents are enormous, they come with new risks: models can be stolen, cloud workloads can be hijacked, and data can be poisoned. Every layer of the AI stack — from GPUs and training data to inference pipelines and SaaS apps — is a new target.

CrowdStrike is unveiling groundbreaking innovations across Counter Adversary Operations. Threat AI, a system of AI-powered agents built on the CrowdStrike Falcon platform, is the industry’s first agentic threat intelligence system. It provides mission-ready agents to reason, hunt, and take action against any stage of adversary activity. In addition, the new Threat Intelligence Browser Extension for Google Chrome extends intelligence everywhere analysts work.

CrowdStrike is introducing Risk-based Patching in CrowdStrike Falcon for IT to close the gap between security and IT teams. With AI-powered Risk-based Patching and CrowdStrike Falcon Exposure Management, organizations can identify, prioritize, and fix the vulnerabilities most critical to them through a single console and workflow while accelerating security and IT consolidation.