Daylight
Tel Aviv-based managed detection and response provider combining AI agents with human analysts, extended to detect threats against AI assistants.
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Daylight, founded in Tel Aviv around 2024-2025 by Hagai Shapira and Eldad Rodich — both veterans of Israel’s Unit 8200 — provides a managed detection and response (MDR) service that pairs AI agents with human analysts. The AI agents handle continuous monitoring, alert triage and context-aware investigation, while human analysts step in for higher-level decisions and incident scoping, an approach the company pitches as addressing both the scale problem (too many alerts for human teams alone) and the trust problem (fully autonomous response is still risky for many organizations).
The company emerged from stealth with a $7 million seed round led by Bain Capital Ventures, followed by a $33 million Series A led by Craft Ventures, bringing total disclosed funding to roughly $40 million. In 2026 it extended its MDR coverage to Claude Enterprise, positioning itself as among the first MDR providers to detect AI-native threats — attacks targeting or originating from enterprise AI assistant deployments — rather than only traditional endpoint and network threats. This is a genuine, if narrow, differentiator in an MDR market still largely built around conventional telemetry sources.
Innovation Matrix Assessment
Went from stealth to a $33M Series A and a notable Claude Enterprise integration within roughly a year, a fast pace for an MDR provider.
Combines AI-agent triage with human oversight, aiming to reduce analyst alert fatigue while keeping a human in the loop for consequential decisions.
Raised $40M combined from Bain Capital Ventures and Craft Ventures in rapid succession, credible institutional backing for an early-stage MDR provider.
The human-plus-AI-agent MDR model and extension to AI-native threat detection (e.g., Claude Enterprise) is a genuine evolution of the category, though AI-augmented MDR is quickly becoming common across competitors.
No independently verified incident outcomes or named customer case studies were found; the AI-native threat detection claim is new and unproven at scale.
As enterprises adopt AI assistants broadly, detecting threats specific to those deployments is likely to become a standard MDR requirement, supporting durability.
Why CISOs Should Care
Extends MDR coverage to AI assistant deployments, closing a visibility gap as enterprises roll out tools like Claude Enterprise without dedicated monitoring for AI-specific threats.
What Makes It Different
Pairs AI-agent-driven triage and investigation with human analyst oversight, and explicitly covers AI-native threat vectors rather than only conventional endpoint/network telemetry.
The Matrix Verdict
65/100 — INCREMENTAL INNOVATOR
An Incremental Innovator: credible funding and founders, and a timely AI-native threat angle, but still early with no independently verified efficacy evidence yet.
Editorial Note: Claims vs. Verified Findings
Funding rounds and investor names are independently reported (SiliconANGLE, Calcalist). The claim of being the "first MDR provider to detect AI-native threats in Claude Enterprise" is a company announcement, not independently benchmarked.
Sources
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