Threat Hunting

Threat hunting assumes breach. Rather than waiting for alerts to fire, it starts with the premise that sophisticated adversaries are already operating in your environment — and sets out to find them before they cause irreversible damage.

Every engagement begins with hypothesis development informed by the current threat landscape, relevant threat intelligence, and the specific context of your organization — sector, technology stack, threat actor focus, and recent incidents. Hypotheses are structured around adversary behaviors, not indicators, which means they catch novel attacks that signature-based tools miss.

Hunting queries run across EDR telemetry, SIEM log data, and network traffic, correlating across sources to surface behavioral anomalies that individual platforms wouldn't flag. We work within your existing tooling — CrowdStrike, Microsoft Defender, Splunk, Sentinel, Elasticsearch — without requiring additional platform investment.

Anomalies are systematically triaged and investigated: distinguishing benign outliers from genuine threat activity requires experience, not just queries. When confirmed threats are found, they become immediate response priorities. When findings are unconfirmed but suspicious, they feed into watchlists and monitoring queues.

Every hunt closes with a detection conversion step: confirmed findings become automated detections, gaps identified during the hunt become new detection engineering work items, and the overall hunting methodology is documented for repeatability. Each engagement actively improves your detection posture — you don't just get a hunt report, you get a stronger SOC.