Beyond Alerting: Finding Hidden Threats

This report explains hypothesis-driven threat hunting as a proactive, analyst-led approach that tailors hunts to a client’s environment, anticipates evolving attacker TTPs, and continuously feeds insights back into detection engineering to strengthen MDR outcomes. It contrasts this method with automated, IOC-based foundational hunting, and describes Binary Defense’s collaborative model, including client-driven hypotheses, rapid research and response, actionable findings, and monthly reporting that documents hunts, queries, and outcomes.