Threat hunting
Follow a security question across retained logs, behavioral context and the connections between events.
Threat hunting tools in ARRTECH SIEM
A useful hunt connects a question to records the investigator can inspect. Search, relationship analysis and AI Detection baselines provide different ways to test the explanation and identify missing evidence.
Hypothesis hunts
Begin with a testable question, then select the relevant accounts, sources and period. SIEM search functions can group, enrich and compare activity while preserving the records behind the result.
Any vendor
Common event categories in a SIEM help a search span different firewall formats. Check the field mappings so the same query has a consistent meaning across the sources being compared.
Archive search
SIEM archive searches extend a hunt into retained history. Knowing which sources and periods are available helps the investigator interpret both matches and empty results.
Graph hunts
An AI Detection graph can connect accounts, hosts and recorded interactions into a path for review. Follow the supporting events at each step; a relationship alone does not establish an intrusion.
Living off the land
Living-off-the-land activity uses familiar tools in an unfamiliar way. AI Detection baselines and shadow findings can give hunters leads to compare with authorized administration and the host’s wider activity.
Hunt to rule
A useful SIEM query can become a recurring detection after testing against ordinary activity. Preserve the hunt’s reasoning and tune the rule before it adds work to the production queue.
By scenario
Failed VPN logins by user
One base search and a statistics function find them.
PowerShell abuse in Sysmon logs
The hunter queries Sysmon events, then pivots to AI Detection findings for the same host.
Traffic to a blocklisted destination
A SIEM lookup checks every firewall’s destinations against the blocklist.
Path from a phished laptop to a server
The graph query walks the account’s neighborhood host by host.
Unusual process on a host with no alert
A shadow finding surfaces it as a lead.
Questions
How far back can we hunt?
As far back as the retention set for each source, archives included.
Can we see MITRE ATT&CK coverage?
Yes. A MITRE ATT&CK page in a SIEM shows which techniques the detections cover.
How does AI help a hunt?
AI Detection highlights changes worth examining. AI Investigation can gather related evidence and prepare an assessment for the hunter to challenge or develop further.
How do we know a result is really empty?
Check source health, collection periods and query scope alongside the result. Missing data or an incomplete search should remain visible in the assessment.
Guide
What is threat hunting?
A proactive search for attackers already inside a network that automated detection missed.
What are the types of threat hunt?
Three common types are hypothesis-driven, baseline and model-assisted hunts.
What is living off the land?
Using tools already present in an environment, such as PowerShell, to carry out an attack. AI Detection examines their behavior and context rather than relying only on the malware signatures EDR checks.
How ARRTECH takes care of threat hunting
Connects security activity into a signed record, giving incident decisions and board reporting evidence that can be independently verified.
Protects intellectual property and customer trust, with content-aware controls that let organizations adopt AI on their own terms.
Expands response capacity through automation, with defined human authority and a record of who approved what.
Finds changes in behavior that predefined rules miss, connecting the signs of an attack so teams can understand what warrants action.
Investigates alerts, tests explanations and prepares the evidence, giving analysts more capacity while people retain authority over the response.
