Straight answer
For this site's question, Cotool has the higher weighted figure, 3.63 of 5 to Vega's 3.35. Cotool is stronger on intel-to-detection speed and data reach without new ingestion; Vega is stronger on rule lifecycle and buyer transparency; they are level on continuous hunting, coverage measurement against ATT&CK and time to first value. The figure follows the weights: the rows Cotool leads carry 45% of the weight, against 12% for Vega's.
Cotool
3.63 / 5
Stronger on
- Intel to detection
- Data reach
Vega
3.35 / 5
Stronger on
- Rule lifecycle
- Transparency
Criterion by criterion
Cotool stronger on 2, Vega stronger on 2, level on 3.
Intel to detection weight 20%
Cotool is stronger
Cotool 4 / 5Vega 3 / 5
Cotool: Agents gather intelligence from the web, check each item for relevance to your environment and propose detections; no speed figure is stated.
Vega: Hunt findings can be promoted to MITRE-mapped detections on the spot; an intelligence-to-detection workflow is not described.
Continuous hunting weight 20%
Level
Cotool 4 / 5Vega 4 / 5
Cotool: Hunt agents work from intelligence as it appears, and chat investigations can be turned into always-on agents.
Vega: Given a hypothesis, it runs the whole hunt across sources on its own and shows each step; a continuous schedule is not stated.
ATT&CK coverage weight 8%
Level
Cotool 4 / 5Vega 4 / 5
Cotool: Maps the whole detection suite across sources onto ATT&CK to monitor coverage and surface gaps.
Vega: A security assessment shows real ATT&CK coverage and the gaps.
Rule lifecycle weight 7%
Vega is stronger
Cotool 3 / 5Vega 4 / 5
Cotool: Compatible with existing detection-as-code tooling, with agent version control and automatic tuning; testing before deployment is not described.
Vega: Detections live in source control and every change has a diff, an author and an approver; pre-deployment testing is not described.
Data reach weight 25%
Cotool is stronger
Cotool 4 / 5Vega 3 / 5
Cotool: 40+ native integrations, including Splunk, Datadog, Panther, Snowflake and Databricks, plus custom MCP servers.
Vega: Queries every source in place with no migration or ingestion, but its connectors page names no platforms.
Transparency weight 5%
Vega is stronger
Cotool 1 / 5Vega 3 / 5
Cotool: No public price, no public documentation and no published deployment model or timeline.
Vega: No public price; a public sandbox lets a buyer try the product before a sales call.
Time to first value weight 15%
Level
Cotool 3 / 5Vega 3 / 5
Cotool: Deployment details are not published.
Vega: Queries data in place; public pages do not name connectors or describe deployment.
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 Cotool stronger?
- Intel-to-detection speed (Cotool 4 / 5, Vega 3 / 5): Agents gather intelligence from the web, check each item for relevance to your environment and propose detections; no speed figure is stated.
- Data reach without new ingestion (Cotool 4 / 5, Vega 3 / 5): 40+ native integrations, including Splunk, Datadog, Panther, Snowflake and Databricks, plus custom MCP servers.
Where is Vega stronger?
- Rule lifecycle (Vega 4 / 5, Cotool 3 / 5): Detections live in source control and every change has a diff, an author and an approver; pre-deployment testing is not described.
- Buyer transparency (Vega 3 / 5, Cotool 1 / 5): No public price; a public sandbox lets a buyer try the product before a sales call.
Which should you choose?
Choose Cotool if
- You want to hunt across the SIEM, EDR, identity, cloud and data-lake platforms you already run, without a new ingestion pipeline.Cotool scores 4 of 5: 40+ native integrations, including Splunk, Datadog, Panther, Snowflake and Databricks, plus custom MCP servers.
- New threat intelligence has to become a tested, deployable detection quickly.Cotool scores 4 of 5: Agents gather intelligence from the web, check each item for relevance to your environment and propose detections; no speed figure is stated.
Choose Vega if
- You want to read documentation, try a sandbox or check a connector list before a sales call.Vega scores 3 of 5: No public price; a public sandbox lets a buyer try the product before a sales call.
- You want rules tested, versioned and reviewable before anything goes live.Vega scores 4 of 5: Detections live in source control and every change has a diff, an author and an approver; pre-deployment testing is not described.
What does each vendor publish, including pricing?
| Headquarters | San Francisco |
|---|---|
| Investors | Andreessen Horowitz, WndrCo, Y Combinator, Homebrew |
| Integrations | 40+ native, including CrowdStrike, Microsoft Defender, SentinelOne, Okta, Splunk, Datadog, Panther, Snowflake, Databricks; custom MCP servers |
| ATT&CK | Maps the detection suite onto ATT&CK to show coverage and gaps |
| Deployment | Not published |
| Pricing | Not published |
Source: cotool.ai · cotool.ai · cotool.ai · cotool.ai · Reviewed Sep 2026
| 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
Editorial assessment · Desk research from public vendor material, last reviewed September 2026
Questions about Cotool and Vega
Is Cotool or Vega the better fit for hunting on existing data?
On this site's weights, Cotool has the higher weighted figure, 3.63 to 3.35. Cotool is stronger on 2 criteria, Vega on 2, and they are level on 3. If the rows where Vega is stronger matter most to your team, it may be the better fit.
Where are Cotool and Vega level?
They score the same on continuous hunting, coverage measurement against ATT&CK and time to first value. (Continuous hunting: 4 of 5 each) (ATT&CK coverage: 4 of 5 each) (Time to first value: 3 of 5 each)
Do Cotool or Vega publish pricing?
Neither publishes a license price. On buyer transparency Cotool scores 1 of 5 (No public price, no public documentation and no published deployment model or timeline) and Vega scores 3 of 5 (No public price; a public sandbox lets a buyer try the product before a sales call).