Daylight Expands MDR into Claude Enterprise to Address Emerging AI Security Risks
May 27, 2026 – 6:39 pm
Image by: Daylight
TL;DR
Daylight is extending managed detection and response (MDR) services into Claude Enterprise, leveraging AI activity telemetry to facilitate actionable security investigations. This move reflects a growing trend in treating enterprise AI platforms as critical infrastructure requiring continuous monitoring.
As businesses rapidly integrate generative AI into their operations, security teams are encountering novel threats previously unhandled by traditional monitoring systems. From workflow automation to code generation and document analysis, AI platforms are becoming integral operational components. However, this shift raises concerns regarding limited visibility into AI system usage, data access, and potential security vulnerabilities introduced through these interactions.
This challenge is prompting the emergence of a new market for AI-native security monitoring. Daylight announced this week that it enables organizations to detect and investigate AI-related threats specific to enterprise AI environments, setting itself apart from MDR providers traditionally focused on traditional SaaS, cloud, or endpoint infrastructure.
The Rise of AI-Native Threats
AI adoption across enterprises has significantly accelerated over the past year. Organizations increasingly utilize tools like Claude Enterprise for document summarization, code generation, workflow automation, and integrating AI systems with broader business applications.
New Blind Spots
Despite these advancements, security teams are uncovering new blind spots as AI becomes deeply embedded in daily operations. Daylight identifies risks extending beyond conventional cybersecurity to unique areas within AI ecosystems, including:
- Unauthorized or risky Model Context Protocol (MCP) integrations
- Malicious prompt injection attempts
- Unsafe plugins and Skills
- Suspicious file interactions
- Unusual AI-driven behavior patterns
Correlating AI Activity with Broad Context
Claude Enterprise has started exposing more activity telemetry through audit logs and compliance APIs, providing organizations with enhanced visibility into employee interactions with the platform. However, raw telemetry alone may not adequately assist security teams in determining whether specific activities constitute genuine threats.
Daylight’s MDR platform addresses this gap by correlating AI usage data with broader context, including identity, SaaS, cloud, endpoint, and operational information. This approach aims to help organizations understand not only what occurred but also who initiated the activity, what systems were involved, and other relevant details.
“AI adoption is outpacing traditional security monitoring’s capabilities,” said Hagai Shapira, co-founder and CEO of Daylight. “Claude Enterprise offers valuable visibility, and Daylight’s MDR service transforms that into detection and response.”