Straight answer
This site asks which tool turns new threat intelligence into hunts and detections on the data a team already has, without a new ingestion pipeline. How fast a team gets to its first hunt is part of that question, so we score it separately, at 15% of the weighted figure, from stated deployment models, setup times and listings.
The buyer question behind the weights
Every weight on this site follows one buyer question: which tool turns new threat intelligence into hunts and detections across the data you already have, without building a new ingestion pipeline? The weights are data reach 25%, intel-to-detection speed 20%, continuous hunting 20%, time to first value 15%, ATT&CK coverage measurement 8%, rule lifecycle 7% and buyer transparency 5%. They add up to 100.
A team asking that question usually has data spread across a SIEM, EDR, identity provider, cloud accounts and sometimes a data lake. It wants hunting on that data without a long project first. Two tools can reach the same data and write the same detections, yet one may take a day to connect and the other a quarter. The criterion exists to show that difference.
Why not fold it into data reach or transparency
Data reach asks what a tool can read. Buyer transparency asks what a buyer can learn before a sales call. Neither asks how long it takes to start. Folding setup time into either would hide it: a tool with wide reach and a slow start would look the same as one with wide reach and a fast start. Keeping it separate lets a reader ignore it, if speed of rollout does not matter to them, by setting its weight to zero in their own copy of the numbers.
What counts as evidence
We score from public pages only: the deployment model, a stated setup time, marketplace listings and whether new ingestion is needed before the first hunt. We do not test deployments ourselves. A stated time is a vendor claim, and we label it as one.
How the six tools score
Mars Security scores 5: it states deployment in hours with no data ingestion, and lists SOC 2 and an AWS Marketplace listing. Artemis Security scores 4: it states connectors go live in under an hour and real cases arrive inside 48 hours, and it ingests hot-path data. Nebulock and Anvilogic score 4 each, for a documented SaaS or connection model without a published time-to-value figure. Cotool and Vega score 3, because deployment details or setup times are not published or are stated only in general terms. The full reasons are in the time to first value column of the matrix.
| Tool | Score | Reason |
|---|---|---|
| Mars Security | 5 / 5 | States deployment in hours with no data ingestion; SOC 2 and listed on AWS Marketplace. |
| Nebulock | 4 / 5 | SaaS with documented integrations; no published time-to-value figure. |
| Anvilogic | 4 / 5 | Runs on top of existing storage in augment or standalone modes; no published time-to-value figure. |
| Cotool | 3 / 5 | Deployment details are not published. |
| Vega | 3 / 5 | Queries data in place; public pages do not name connectors or describe deployment. |
| Artemis Security | 4 / 5 | States connectors go live in under an hour and real cases arrive inside 48 hours; ingests hot-path data. |
How to use it in a demo
Ask for the list of setup tasks between signing and the first hunt on your own data, who does each one, and whether any of them is a new pipeline. Question 7 in Twelve questions to ask in a threat hunting platform demo covers this. To see how the 15% weight moves a figure, read How to read a weighted score.
Sources
- https://threathuntingcompare.com/how-we-compare
- https://threathuntingcompare.com/matrix
- https://marssec.ai
- https://securityboulevard.com/2026/09/mars-security-launches-real-time-intel-to-detection-engine-that-turns-live-threat-intelligence-into-backtested-detections-in-minutes/
- https://artemissecurity.com/platform/overview/
- https://docs.nebulock.io/
- https://www.anvilogic.com/platform
Editorial assessment · Desk research from public vendor material, last reviewed September 2026