- Platform
- Services
Note: the following are third-party industry statistics used to frame the
problem — not Gruve's own results.
global median attacker dwell time (Mandiant M-Trends, 2025)
fastest observed time from initial access to data exfiltration (Palo Alto Networks Unit 42, 2025)
increase in attacks starting with exploitation of public-facing applications (IBM X-Force, 2025)
Threat-informed, hypothesis-driven hunts built around your current risk picture,
not an outsourced alert queue, and not a generic one-size-fits-all package.
Builds the hunt around real adversary behavior, current client concerns, and the specific technologies or workflows most likely to reveal hidden compromise.
Correlates endpoint, identity, cloud, SaaS, and administrative evidence to test for suspicious activity beyond what the alerting layer has already surfaced.
Uses AI to accelerate organization of large evidence sets and candidate patterns, while every meaningful hunt decision and finding stays in human hands.
Documents where existing detections, logging, access controls, or response workflows failed to surface behavior that warranted attention.
Delivers both the hunt conclusion and the concrete improvements needed to reduce future blind spots — whether or not active compromise is found.
Tests for adversary behavior that may not cleanly match pre-existing alerts, signature logic, or workflow assumptions.
Improves the odds of finding threats earlier by looking deliberately in the places and patterns most likely to be missed.
Turns hunt results into concrete improvements for logging, alerting, identity controls, and cross-domain visibility.
Focuses scarce analyst attention on hypotheses tied to current threats, technology changes, and business-critical assets.
Gives leaders a clearer sense of whether hidden attacker activity has been actively tested for, rather than merely assumed absent.
A hypothesis-driven hunt based on current adversary activity, threat intelligence, or industry-relevant campaign patterns.
Focused hunting across privileged users, R&D systems, executive populations, crown-jewel SaaS platforms, or other high-impact targets.
Targeted hunting after major platform changes, emerging CVEs, vendor notices, or control disruptions that may create short-term blind spots.
Hypothesis-driven hunts built around real adversary behavior — not purely telemetry-driven or tool-driven.
Identity, SaaS, cloud, and endpoint context brought together in a single hunt narrative.
AI speeds up the hunt workflow without ever deciding what counts as compromise.
Produces detection and resilience improvements even when the hunt doesn’t surface active compromise.
Slots naturally into post-exposure validation, executive assurance, or a recurring resilience cadence.
Is this just an outsourced alert queue? 
No. Each engagement is scoped around specific business and threat questions, not generic alert triage — and executed across whichever data sources matter most for answering them.
Do we need a declared incident to start a hunt?
No. Threat hunting is proactive by design — it’s built for situations like a new vulnerability disclosure, sector-wide risk signals, or organizational change, before anything is confirmed.
Does AI decide what counts as suspicious?
No. AI accelerates clustering, prioritization, and hypothesis development, but human analysts decide what to test, how to pivot, and which anomalies are meaningful.
What if the hunt doesn't find active compromise?
That’s still a valuable outcome. Every engagement concludes with concrete detection and resilience improvements, whether or not compromise is found.
How is this different from our internal SOC checking the same telemetry?
Internal teams know the environment, but rarely have the dedicated time, threat-informed structure, and independent challenge function needed for disciplined hunting beyond day-to-day alert handling. Gruve brings that as a focused, time-boxed engagement.
See how Gruve's Threat Hunting engagement helps your team test for hidden adversary activity,
reduce blind spots, and improve resilience with evidence-backed conclusions.
Check all DFIR solutions 