Autonomous Threat Hunting

RESEARCH NOTE

Reading autonomy claims on vendor pages: five phrases and what they commit to

What the words on a product page promise about who starts a hunt, how far it goes and where a person steps in.

In one paragraph

Vendor pages describe autonomy in short phrases, and each phrase commits to something narrower than it first sounds. This note takes five phrases from five vendors, quoted exactly and listed alphabetically, and asks three things of each: who starts the work, where it stops, and where a person decides. It does not compare the vendors or judge the claims; it shows how to turn a phrase into questions for a trial.

By Autonomous Threat Hunting editors ·

Why read the phrase and not the adjective?

Words such as "autonomous", "agentic" and "AI-native" appear on most threat hunting product pages, and on their own they say little. The useful part of a claim is the sentence around the adjective: the verb, the object and the point where the sentence ends. A sentence that ends at "finds something" commits to less than one that ends at "deployed". This guide's autonomy levels give a vocabulary for those end points, from Level 0, manual hunting, to Level 4, where the system prepares actions and a person approves each one.

For each phrase we note what it commits to, what it leaves open, and a question to ask. The quotes were read on the vendors' public pages on 27 September 2026. Vendors appear in alphabetical order, the only order this site uses.

Phrase 1: from intelligence to deployed logic (Anvilogic)

"From threat intel to validated, deployed detection logic on every connected platform."
Source: Anvilogic

What it commits to. The sentence names a start point, threat intelligence, and an end point, detection logic that is both validated and deployed. It also claims breadth: every connected platform.

What it leaves open. It does not say who reviews the logic between "validated" and "deployed", or what validation consists of: a syntax check, a backtest against historical data, or a person's sign-off. Anvilogic's platform page describes detection-as-code with version control, which suggests changes can be reviewed; the pages we read did not describe an approval step for hunts.

Question to ask. What does "validated" consist of, and can deployment be set to wait for a named approver on each platform?

Phrase 2: automation built from an investigation (Cotool)

"Investigate once, automate forever"
Source: Cotool

What it commits to. The phrase describes a pattern rather than a single feature: an investigation done once becomes a reusable automation.

What it leaves open. It does not say what triggers the automation later, how broadly it applies, or whether a person approves each run once the pattern exists. "Forever" also raises a maintenance question, because an automation built from one investigation can drift as the environment changes.

Question to ask. When an automation built from one investigation runs again, what does it do without asking, and how is it reviewed or retired?

Phrase 3: a corroborated shortlist (Mars Security)

"We convert threat intelligence into behavioral hunts, run them continuously against the data where it already lives, and hand analysts a corroborated shortlist rather than a scored queue."
Source: Mars Security

What it commits to. Three commitments sit in one sentence: hunts are derived from intelligence, they run continuously, and the output is a short list whose items have been checked against other data. The end point is a person, since analysts receive the shortlist. In this guide's terms that describes Level 3, continuous hunting with human review.

What it leaves open. Corroboration can mean different things, from a second log source to a full timeline. The sentence also does not say how the list is kept short, or what is left off it.

Question to ask. For one item on the shortlist, which sources corroborated it, and where can I see the hits that did not make the list?

Phrase 4: hunting without a directive (Nebulock)

"Vespyr hunts without a directive, turning a threat intel report into a deployable detection in minutes."
Source: Nebulock

What it commits to. "Without a directive" is a direct statement about who starts the hunt: the system, not an analyst. The end point is "deployable", one step short of deployed. Nebulock's detection engineering documentation adds a gate: "Every detection rule must pass a Retrohunt before deployment."

What it leaves open. The phrase does not say who moves a deployable detection into production, or which data a hunt without a directive may read. "In minutes" describes the time from report to detection, not the time a person needs to review it.

Question to ask. Which hunts start without a directive, which data can they read, and who moves a detection from deployable to deployed?

Phrase 5: a hypothesis in, a whole hunt out (Vega)

"Give Vega a hypothesis and it runs the whole hunt autonomously across your sources."
Source: Vega

What it commits to. The sentence puts the start with a person, who supplies the hypothesis, and gives the system the whole hunt after that. In this guide's terms that is Level 2, a directed autonomous hunt. The same page adds "Every step of the hunt shows its work", a commitment about evidence.

What it leaves open. It does not say whether the system ever proposes its own hypotheses, or how a hunt ends when it finds nothing. Promotion is described separately: "When a hunt finds something, promote it to a MITRE-mapped detection on the spot." Vega's detection-as-code page adds "Every change has a diff, an author, and an approver."

Question to ask. Is promotion a click by an analyst or can it happen on its own, and does it pass through the approver named in source control?

What patterns show up across the five?

Read together, the phrases describe three different end points: a finding handed to a person, a detection that is ready to deploy, and a detection that is deployed. They also split on who starts the work. Some describe a person supplying a hypothesis; others describe the system choosing what to hunt. Neither is better in general. A team with strict change control may want every deployment to wait for a person.

Approval language tends to live on a different page from autonomy language. In this set, the clearest statements about human control came from documentation and detection-as-code pages, not from headlines. Artemis Security, not quoted above, describes staged response actions that require human confirmation, which is the Level 4 pattern in this guide's model. When a headline and a documentation page seem to say different things, the documentation is usually closer to what the product does, and a trial on your own data is closer still.

How to use this in a vendor call

Sources