Straight answer
These two are closer than most pairs: they are level on three of seven criteria. Anvilogic has the higher weighted figure, 4.00 of 5 to Vega's 3.35, and is stronger on intel-to-detection speed, on time to first value and on data reach, where it names its platforms and Vega does not. Vega is stronger on hypothesis-driven hunting that runs across sources on its own.
Vega
3.35 / 5
Stronger on
- Continuous hunting
Anvilogic
4.00 / 5
Stronger on
- Intel to detection
- Data reach
- Time to first value
Criterion by criterion
Vega stronger on 1, Anvilogic stronger on 3, level on 3.
Intel to detection weight 20%
Anvilogic is stronger
Vega 3 / 5Anvilogic 4 / 5
Vega: Hunt findings can be promoted to MITRE-mapped detections on the spot; an intelligence-to-detection workflow is not described.
Anvilogic: Detect agents take threat intel to validated, deployed detection logic on every connected platform; no speed figure is stated.
Continuous hunting weight 20%
Vega is stronger
Vega 4 / 5Anvilogic 3 / 5
Vega: Given a hypothesis, it runs the whole hunt across sources on its own and shows each step; a continuous schedule is not stated.
Anvilogic: Search and Detect agents cover intelligence-led work; the pages we reviewed do not describe a separate continuous hunting workflow.
ATT&CK coverage weight 8%
Level
Vega 4 / 5Anvilogic 4 / 5
Vega: A security assessment shows real ATT&CK coverage and the gaps.
Anvilogic: Thousands of MITRE-mapped detections and coverage scoring against ATT&CK; the scoring view itself is not shown in detail.
Rule lifecycle weight 7%
Level
Vega 4 / 5Anvilogic 4 / 5
Vega: Detections live in source control and every change has a diff, an author and an approver; pre-deployment testing is not described.
Anvilogic: Detection-as-code with version control is stated, and tuning agents maintain rules; review and test steps are not spelled out.
Data reach weight 25%
Anvilogic is stronger
Vega 3 / 5Anvilogic 5 / 5
Vega: Queries every source in place with no migration or ingestion, but its connectors page names no platforms.
Anvilogic: The broadest named list we found: Splunk, Microsoft Sentinel, CrowdStrike NG-SIEM and Elastic, six data lakes and three object stores, searched without moving the data.
Transparency weight 5%
Level
Vega 3 / 5Anvilogic 3 / 5
Vega: No public price; a public sandbox lets a buyer try the product before a sales call.
Anvilogic: No license price; a public calculator estimates data-lake compute and storage costs, and the platform page describes augment and standalone deployment.
Time to first value weight 15%
Anvilogic is stronger
Vega 3 / 5Anvilogic 4 / 5
Vega: Queries data in place; public pages do not name connectors or describe deployment.
Anvilogic: Runs on top of existing storage in augment or standalone modes; no published time-to-value figure.
Editorial assessment, 1 to 5 per criterion, from public vendor material. It measures fit for turning threat intelligence into hunts and detections on data a team already has. It is not a measure of overall product quality.
Where is Vega stronger?
Vega's hunting is the difference. Give it a hypothesis and it runs the whole hunt across sources, showing each step, and a finding can be promoted to a MITRE-mapped detection on the spot.
Where is Anvilogic stronger?
Anvilogic describes a direct route from threat intelligence to validated detection logic on every connected platform, and it publishes the list of platforms it searches. Vega says it queries every source in place, but its connectors page does not name them.
Which should you choose?
Choose Vega if
- Your team hunts from hypotheses and wants the tool to run the hunt and show its work.
- You want detections reviewed in source control, with a diff, an author and an approver for each change.
- You want to try the product in a public sandbox first.
Choose Anvilogic if
- You need to know up front which SIEM platforms, data lakes and object stores are supported.
- New intelligence should turn into deployed detections across several platforms.
- You want to model data-lake costs with a public calculator.
What does each vendor publish?
| Offices | Tel Aviv and New York |
|---|---|
| Data | Federated analytics, no migration, ingestion or egress; connectors not named on the public connectors page |
| ATT&CK | Security assessment shows ATT&CK coverage and gaps; hunt findings become MITRE-mapped detections |
| Rule lifecycle | Source control; every change has a diff, an author and an approver |
| Try before buying | Public sandbox (sandbox.vega.io) |
| Pricing | Not published |
Source: vega.io · vega.io · vega.io · vega.io · vega.io · Reviewed Sep 2026
| Founded | 2019 |
|---|---|
| Deployment | On top of your storage layer: augment, standalone or any combination |
| Named data platforms | Splunk, Microsoft Sentinel, CrowdStrike NG-SIEM, Elastic; Snowflake, Databricks, Azure Data Explorer, Azure Log Analytics, Microsoft Fabric, Amazon Security Lake; S3, Azure Blob, GCS |
| ATT&CK | Thousands of MITRE-mapped detections; coverage scoring against ATT&CK |
| Rule lifecycle | Detection-as-code with version control |
| Pricing | Not published (public calculator estimates data-lake costs and excludes license) |
Source: anvilogic.com · anvilogic.com · anvilogic.com · Reviewed Sep 2026
Editorial assessment · Desk research from public vendor material, last reviewed September 2026
Questions about Vega and Anvilogic
Where are Vega and Anvilogic level?
On ATT&CK coverage measurement (4 of 5 each), rule lifecycle (4 of 5 each) and buyer transparency (3 of 5 each).
Do both avoid new ingestion?
Both say they query data in place. Vega describes no migration, ingestion or egress. Anvilogic names the platforms it searches without moving the data.
Which is better for threat hunting?
On continuous hunting Vega scores 4 of 5 and Anvilogic 3 of 5. Vega runs a hunt from a hypothesis on its own; Anvilogic's public pages focus on search and detection rather than a separate hunting workflow.