AI Enhanced
Hunt threats at a scale that wasn't possible before
Traditional threat hunting is limited by analyst hours. AI-enhanced hunting runs continuously, generates hypotheses from live threat intel, and sweeps telemetry volumes that no team could cover manually.
Hunting capabilities
Continuous. Proactive. AI-powered.
Hypothesis generation
AI proposes hunting hypotheses based on current threat landscape, your environment's telemetry patterns, and known adversary TTPs targeting your sector.
Behavioral sweep
Hunt queries run continuously across petabytes of telemetry — not just when an analyst has time. AI surfaces anomalies that rule-based detection misses.
Anomaly detection
Baseline normal behavior for every user, service, and system. AI flags deviations that match known attack patterns or represent novel threats.
ATT&CK coverage mapping
Automatically map hunting activity to MITRE ATT&CK and ATLAS techniques. Identify coverage gaps and prioritize hunts against the most likely attack paths.
Cross-source correlation
Hunt across identity, cloud, endpoint, SaaS, and AI telemetry simultaneously. Attackers that blend into one source stand out across many.
Hunt analytics
Track hypothesis success rates, coverage trends, and time-to-discovery. Measure whether your hunting program is finding threats before they detonate.
Hunt examples
What we hunt for
Identity pivoting
Detect attackers who compromise one identity and use it to access other systems, escalate privileges, or create persistence.
Living-off-the-land
Find adversaries using legitimate tools (PowerShell, WMI, cloud CLIs) for malicious purposes — invisible to signature-based detection.
AI supply chain abuse
Hunt for poisoned RAG documents, compromised MCP servers, rogue model tool calls, and shadow AI applications.
Ransomware staging
Identify pre-ransomware behavior: mass credential harvesting, volume shadow deletion, scheduled task creation, and lateral movement.
Hunt methodology
Structured hunts, measurable outcomes
Every hunt follows a structured process: hypothesis, data collection, analysis, and findings. Results feed back into detection engineering to close coverage gaps permanently.
Hypothesis formation
AI analyzes your threat landscape, industry targeting data, and current detection coverage to propose hypotheses that target the most likely gaps.
Data collection & query
Hunt queries run across identity, cloud, endpoint, SaaS, AI, and network telemetry simultaneously. AI optimizes query patterns for coverage and speed.
Analysis & triage
Results are enriched with context, scored for likelihood, and mapped to MITRE techniques. AI flags the highest-confidence findings for human review.
Findings & detection
Confirmed findings become new detections. The hunt closes a gap, the detection ensures it stays closed. Coverage metrics update automatically.
Hunt program metrics
Measure what your hunting program finds
See threat hunting in action
The command center shows active hunts, hypothesis tracking, and coverage metrics in real time.
Open Command Center