CrowdStrike introduced CrowdStrike Falcon Data Security, a new data security solution that stops data theft across the agentic enterprise. Powered by real-world adversary intelligence and unified Falcon platform context, Falcon Data Security discovers, classifies, and stops data theft in real time – whether caused by an employee mistake, a malicious insider, or an adversary operating with valid credentials.
“AI has fundamentally changed how quickly data is created, accessed, and shared, placing sensitive information in constant motion,” said Elia Zaitsev, chief technology officer at CrowdStrike. “Legacy data protection tools were built for a world where data was static. Falcon Data Security discovers, classifies, and defends sensitive data wherever it exists, at rest and in motion. This is data security for the agentic era.”
Data on the move
AI is reshaping how work gets done, accessing and moving sensitive data continuously across endpoints, cloud services, SaaS applications, and AI-driven workflows. Legacy data protection was built for a different era – DLP for static endpoints, DSPM for point-in-time cloud inventories. Neither was designed to look at data security holistically as sensitive information moves from one domain to another. Modern data security requires real-time, cross-domain context and adversary intelligence to distinguish legitimate data movement from real risk – preventing inadvertent exposure, leakage, and theft wherever data resides.
Unified data security
The Falcon platform’s unified architecture spanning identity, endpoint, SaaS, cloud, and AI – combined with native adversary intelligence – gives teams the context to discover, classify, and protect sensitive data across systems. By consolidating fragmented DLP and DSPM tools, Falcon Data Security simplifies protection and secures the full data spectrum.
Key features and benefits include:
- AI-powered classification for data in motion: Automatically identifies and classifies sensitive data across endpoints, SaaS, cloud, browsers, and AI workflows as it is created, transformed, and shared.
- GenAI data protection: Protects sensitive data shared through browsers, local applications, and runtime cloud environments. Prevents inadvertent exposure while blocking data leakage across both managed and unmanaged GenAI tools, wherever they’re used.
- Runtime cloud data visibility: Moves beyond static inventories to deliver real-time insight into how sensitive data is accessed and moved – surfacing active cloud data risk.
- Cross-domain platform context: Evaluates data threats alongside endpoint, identity, and cloud activity – giving teams full user, device, and access context in a single console to correlate, prioritise, and stop threats faster.
- Automated enforcement: Blocks risky data movement at endpoint egress, prevents unauthorised access in SaaS applications, and automates cloud data response actions through unified SOAR workflows.
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