Threat Hunting — finding
attackers before they act.

Automated detection finds what it was built to find. Threat hunting finds what it wasn't.

Every EDR platform, SIEM, and security tool works from a detection model — a set of rules, signatures, and behaviors it is programmed to flag. Sophisticated adversaries know these models exist. Advanced persistent threat actors and ransomware operators deliberately use techniques that fall outside common detection baselines — living-off-the-land binaries, legitimate administrative tools repurposed for malicious use, and slow, low-volume activity designed to blend with normal traffic.

Threat hunting is the practice of actively searching your environment for evidence of these techniques, driven by human intelligence and hypothesis rather than automated rules. A hunter asks: "Given what we know about current adversary tradecraft, what would we expect to see if they were operating in this environment?" They then go looking for exactly that.

How SignalPoint conducts threat hunts

• Intelligence intake: We begin each hunt cycle with current threat intelligence — active campaigns, recently disclosed TTPs, and adversary groups known to target your industry or geography
• Hypothesis development: Analysts formulate specific, testable hypotheses based on that intelligence — for example, "Are there signs of scheduled task abuse consistent with Cobalt Strike persistence?"
• Data collection: We pull telemetry from your EDR, Windows event logs, DNS logs, and network flow data
• Hunt execution: Analysts manually investigate each hypothesis using behavioral analysis, timeline reconstruction, and anomaly detection against your specific environment's baseline
• Findings and escalation: Confirmed threats are escalated immediately and handed off to incident response. Suspicious-but-unconfirmed findings are flagged for continued monitoring. Clean findings are documented with the methodology used
• Detection improvement: Every hunt produces detection engineering recommendations — new rules and alerts tuned to your environment based on what the hunt revealed

What threat hunters look for

• Living-off-the-land binary (LOLBin) abuse — PowerShell, WMI, certutil, mshta, regsvr32 used in unusual contexts
• Credential dumping activity — LSASS access, SAM database queries, DCSync attempts
• Lateral movement indicators — unusual SMB connections, RDP from non-standard sources, PsExec activity
• Persistence mechanisms — new scheduled tasks, service installations, WMI event subscriptions, registry run key modifications
• Command-and-control beaconing — periodic, regular outbound connections to low-reputation or newly registered domains
• Data staging — unusual file enumeration, archive creation in temp directories, staging on file servers
• Defense evasion — log clearing, timestomping, AV process killing, security tool tampering

Proactive hunting vs. reactive detection

Detection tools respond to what they are shown. Threat hunting actively looks for what is being hidden. The best security programs do both. Organizations that rely exclusively on reactive detection are implicitly accepting that their detection rules are complete and current — an assumption that advanced adversaries spend considerable effort invalidating. Adding regular threat hunting dramatically compresses the time between attacker entry and discovery.