TL;DRDaylight is extending managed detection and response into Claude Enterprise, turning AI activity telemetry into actionable security investigations. The move signals a broader shift toward treating enterprise AI platforms as critical infrastructure requiring continuous monitoring.
As enterprises race to embed generative AI into daily operations, security teams are confronting a new category of threats that traditional monitoring systems were never designed to handle. From AI-powered workflow automation to code generation and document analysis, enterprise AI platforms are rapidly becoming operational infrastructure. But with that shift comes a growing concern: organizations often lack visibility into how AI systems are being used, what data they access, and whether those interactions introduce security exposure.
That challenge is driving a new market for AI-native security monitoring. This week, Daylight announced that it is allowing organizations to detect and investigate AI-native threats tied to enterprise AI usage.
The move positions Daylight among the first MDR providers focused specifically on monitoring risks emerging from enterprise AI environments rather than solely from traditional SaaS, cloud, or endpoint infrastructure.
