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Threat Hunting Redefined
Daylight turns threat hunting from a manual, limited activity into a structured, continuously executed system — combining expert methodology with agentic AI execution.
Why Traditional Threat Hunting Fails
Detection Alone Is Not Enough
Modern attackers use legitimate tools across distributed systems. Many behaviors are subtle and never trigger alerts.
Limited by Talent & Capacity
Each hunt requires an expert to define hypotheses, query data sources, iterate findings, and make analytical decisions — manually.
Too Slow to Keep Up
In the AI era, threats evolve rapidly. Manual hunting can only pursue a limited number of hypotheses over weeks.
Expert Brain. Agentic Muscle.
Human intelligence defines the mission. A coordinate AI swarm executes it - in minutes, not weeks
Hypothesis Definition
A Daylight security expert defines the hypothesis and selects structured analyses from a maintained catalog.
Data Extraction
Deterministic queries against relevant telemetry across up to 90 days of historical data. All analyses run in parallel.
Iterative Investigation
A coordinated swarm of specialized AI agents investigate in parallel - each step refining data dynamically, not following scripts.
Controlled Orchestration
Central orchestration tracks all iterations, records decisions, enforces execution limits, and provides structured context.
Outcome Determination
Either all activity is explained, or unexplained behavior is escalated into full investigation and converted into detections.
Two Hunts. Complete Coverage.
IOC-based hunts validate known threats. Hypothesis-based hunts uncover unknown or undetected activity.
Hypothesis Based Hunts
Uncover unknown threats
Expert-defined hypotheses targeting behavioral patterns
Agentic AI executes multi-step iterative investigation
Parallel analysis across your full environment
Dynamic investigation paths — not predefined playbooks
Findings escalated or converted into new detections
IOC-Based Hunts
Validate known threats
Triggered by new vulnerabilities, threat intel, or your inputs
Standardized playbooks for speed and consistency
Cross-source correlation across endpoint, identity & cloud
Up to 90 days of historical telemetry searched
Binary outcome: confirmed presence or clean bill of health
Two Broken Approaches, One Complete Architecture
Traditional threat hunting services and automated hunting tools each claim to find what detections miss, but they're working with fundamentally limited approaches. Here's how Daylight compares:
This Isn't Another AI Copilot
Most AI SOC solutions assist analysts with copilots or automate predefined tasks. Daylight is different.
End-to-End Execution
We execute the full threat hunting process - from hypothesis through outcome - not just assist analysts.
Hypothesis-Driven Discovery
We start from hypotheses and investigate behavioral patterns, enabling discovery of unknown threats - not just known indicators.
Adaptive, Not Templated
Every investigation step is determined dynamically based on the data. No predetermined scripts or fixed query sequences.
Scales Beyond Human Limits
Multiple analyses run in parallel, iterative investigations complete in minutes. Continuous coverage across large environments.
Controlled & Auditable
Deterministic starting points, bounded execution, and fully recorded investigation process. Transparent, reproducible, and auditable.
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