31 Hunt to discover incidents (Very Good)
Hunt to discover cyber security incidents based on knowledge of adversary tradecraft and analysis of logs, events and other data sources.
Source: ASD Strategies to Mitigate Cyber Security Incidents, 31. The statement above is our statement of the clause, read from the published text and cited so you can check it against the official text, not the instrument verbatim. Open ASD Strategies to Mitigate Cyber Security Incidents in the compliance library.
These are the artefacts auditors commonly ask for on this requirement, our guidance rather than text from the standard. Your assessor decides what is sufficient in your context, and asks for samples across the period when a report covers one.
system holds itEvidence a system already holds
- Records of hunt findings converted into new detection rules or incident tickets · Ticketing / ITSM
periodic reviewEvidence produced at each review
- Hunt reports for recent cycles recording queries run, systems and log sources covered and findings · SIEM / log platform
governing documentDocuments that govern the control
- Hunt team roster and schedule showing the frequency of hunts and the analysts assigned to each cycle · Document repository
- Threat hunting plan listing hypotheses drawn from adversary tradecraft such as MITRE ATT&CK techniques and the data sources queried · Policy repository / GRC workspace
First move
Common gaps auditors find
- Hunting done ad hoc after vendor bulletins, with no regular schedule or recorded hypotheses
- Hunts limited to the logs that happen to be retained, missing endpoint and authentication telemetry
- Hunt findings never turned into standing detections, so the same gap is rediscovered each cycle
Do this for your whole sheet
Paste the rows you run your controls from and get this mapping for every control at once, with the periodic-review ones flagged and a first move per row. No account for the first run.
Build my evidence sheet30 Endpoint detection and response (Very Good) · 32 Network-based IDS/IPS (Limited)