Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For every enterprise CISO in the world right now, the burning question isn’t about cloud, TPRM, or internal threats. It’s about how to securely and responsibly adopt AI—specifically, agentic AI, the buzziest of today’s AI buzzwords. There’s no shortage of stats on skyrocketing adoption trends. Consider EY’s recent Technology Pulse Poll, which found that half of tech leaders have at least begun deploying agentic AI within their organizations.

Since day one, CrowdStrike's mission has been to stop breaches. Our pioneering AI-native approach quickly set our platform apart from the landscape of legacy cybersecurity vendors that were heavily reliant on reactive, signature-based approaches for threat detection and response. Our use of patented models across the CrowdStrike Falcon sensor and in the cloud enables us to quickly and proactively detect threats — even unknown or zero-day threats.

Large Language Models (LLMs) now power chatbots, copilots, and data agents across the enterprise. With that power comes risk: LLMs ingest and remix sensitive inputs-from customer conversations and internal docs to PHI and card data-creating new exposure paths and compliance headaches. In 2025, language model privacy is no longer a niche concern; it’s a board-level priority shaped by GDPR, HIPAA, PCI-DSS, and the EU AI Act.