Threat hunting for the attacks your alerts missed.
We search your environment for adversaries who are already inside, starting from hypotheses about how they operate, and turn every hunt into better detection.
Assume breach, then look
Detection tools catch what they were configured to catch. Skilled attackers use valid accounts, built-in tools and slow movements that blend into normal activity. Threat hunting starts from the assumption that something got through and searches the telemetry for its traces.
A hunt is worth running when you suspect a compromise, after a relevant threat report, or as a periodic check of an environment that matters. It ends with an answer, compromised or not, the evidence behind it, and detection content that makes the next attack easier to catch.
Threat Hunting Proactive search for hidden adversaries
- Hypothesis-driven hunts across endpoints, network and cloud
- Behavioral analytics and anomaly detection
- TTP mapping to MITRE ATT&CK
- Threat intelligence enrichment and correlation
- Compromise assessment for suspected incidents
- Detection engineering and rule tuning
Outcomes
- Earlier discovery of active intrusions
- Reduced dwell time and lateral movement
- Hardened detection coverage
- Actionable IOCs and detection content
From hypothesis to detection, five phases.
Hunts are structured, repeatable and documented, so their value outlasts the engagement.
Hypotheses
We define hypotheses from threat intelligence, your sector and your technology: for example, credential theft followed by lateral movement through remote management tools.
Data collection
We identify the telemetry needed (EDR, logs, network flows, cloud audit trails) and check that coverage is enough to answer the question.
Investigation
Analysts search for the behaviors behind each hypothesis, pivot on anomalies and correlate them with threat intelligence.
Assessment
Confirmed malicious activity is scoped and escalated immediately; hypotheses that are ruled out are documented as well.
Detection engineering
Each hunt produces new or tuned detection rules, indicators and recommendations for your SOC.
Mapped to how adversaries behave.
Hypotheses and findings are mapped to MITRE ATT&CK techniques, and detection content can be delivered in vendor-neutral formats such as Sigma. Hunting supports the monitoring and incident handling expectations of NIS2, DORA and ISO/IEC 27001.
The Threat Hunter profile of BackBox AI helps analysts formulate hypotheses, query large datasets and keep every conclusion tied to evidence, the same approach behind our public OSINT investigations.
Frameworks and references
Threat hunting, common questions.
How is threat hunting different from SOC monitoring?
Monitoring reacts to alerts generated by known rules. Hunting is proactive: analysts look for attacker behavior that triggered no alert, and the results become new rules for the monitoring team.
What data do you need?
Endpoint telemetry from an EDR is the most valuable source, followed by authentication logs, network flows and cloud audit logs. We assess coverage at the start and tell you which questions the available data can and cannot answer.
What is a compromise assessment?
A focused hunt that answers one question: are we compromised? It is the right choice after a suspicious event, before an acquisition, or when a vulnerability you exposed turns out to be exploited in the wild.
What happens if you find an active intrusion?
We stop and escalate immediately, following the procedure agreed at the start, and support your incident response team with scope, indicators and containment priorities.
Do we need threat hunting if we already have a SOC or MDR?
Often yes. A SOC or MDR service handles the alerts its rules generate, while hunting looks for what produced no alert at all. Many teams run periodic hunts on top of their monitoring and feed the results back into it.