In one paragraph
Autonomous threat hunting is the use of software agents to form hunt hypotheses, usually from threat intelligence, run the queries that test them across an organization's existing data, corroborate what they find and present the result to a person. It differs from alerting because it looks for activity that no rule has flagged yet, and from manual hunting because the system, not an analyst, carries out most of the steps. How many steps it carries out without being asked is the main difference between products.
Guide updated September 2026 · Autonomous Threat Hunting editors
What does autonomous threat hunting mean in practice?
A threat hunt starts from a question: if an attacker used this technique here, what would we see? Traditionally a hunter writes that hypothesis down, translates it into queries for each data source, runs them, reads the results and decides what they mean. An autonomous system does some or all of that work itself. It reads an advisory, proposes behaviors to look for, writes queries in each platform's own language, runs them, checks the hits against other sources and hands a person a short list with its reasoning attached.
How is it different from alerting and detection?
Detection rules fire when known patterns appear in new data. Hunting asks about patterns that have no rule yet, or that a rule would miss. The two meet at the end of the process: a hunt that finds something real often becomes a new detection, a step this guide calls detection promotion. Autonomous hunting shortens the path from a new piece of intelligence to that rule.
Are AI, agentic and autonomous threat hunting the same thing?
AI threat hunting
The broadest term. Any hunting where machine learning or a language model helps, from suggesting a query to summarizing results.
Agentic threat hunting
Hunting carried out by software agents that take a goal, choose tools and steps, and act across several systems. Agentic describes how the software works.
Autonomous threat hunting
Describes how much the software does without a person asking. Vendors use it for anything from running a hunt a person requested to running hunts continuously. The autonomy levels page gives five levels so the word can be pinned down.
What does it need from your environment?
- Read access to the data platforms where telemetry lives: SIEM, data lake, EDR, identity provider and cloud logs.
- A source of intelligence: public advisories, commercial feeds or the team's own reports.
- A place to record findings and a path to turn confirmed findings into detections, often a detection-as-code repository.
- People with time to review what it surfaces.
Where does MITRE ATT&CK fit?
Most products describe hunts and detections in terms of MITRE ATT&CK tactics and techniques. At the time of review, ATT&CK Enterprise v19.2 lists 15 tactics, from Reconnaissance (TA0043) to Impact (TA0040), including Stealth (TA0005) and Defense Impairment (TA0112, added 14 April 2026). Mapping a hunt to a technique makes coverage discussable, but a mapping is a label, not proof that the hunt would find the technique in your data.
Source: attack.mitre.org/tactics/enterprise · attack.mitre.org/tactics/TA0112 · Reviewed Sep 2026