Threat Hunting Tools

Review · Logged September 2026

Vega review: hypothesis-driven threat hunting with source-controlled detections

Hand it a hypothesis and it runs the hunt, then promotes findings to source-controlled detections.

#57.00 / 10Best for hand-off hypothesis hunts with source-controlled detections

Editorial assessment · From vendor product pages, docs and announcements · Updated 2026-10-18

What does Vega do?

Vega describes itself as an 'AI-native SecOps platform.' It queries data sources in place and says it needs 'no migration, ingestion, or egress.'

Its threat hunting product takes a hunch or a threat briefing and 'shapes it into a hypothesis', then 'runs the whole hunt autonomously across your sources' and 'pivots until it reaches a conclusion'. 'Every step of the hunt shows its work.' When a hunt finds something, the analyst can 'promote it to a MITRE-mapped detection on the spot.'

Detections follow a code review model: 'Detections live in source control, reviewed like any other code change,' and 'every change has a diff, an author, and an approver.' A security assessment module offers to 'see your real MITRE ATT&CK coverage and close the gaps.' Vega also supports access through MCP, and offers a public sandbox.

Key facts

Key facts about Vega
CategoryAgentic security operations platform
Hunting approachAutonomous hunts from a hypothesis or threat briefing, with each step shown
Data accessQueries sources in place; no ingestion
Platforms named publiclyNot published on the pages reviewed (connectors page is generic; sandbox at sandbox.vega.io)
ATT&CK claimCoverage and gap assessment; hunt findings become MITRE-mapped detections
Detection workflowSource control with diff, author and approver; cross-platform detection-as-code
DeploymentNot published
PricingNot published
CompanyOffices listed in Tel Aviv and New York

Source: vega.io · vega.io/platform · vega.io/platform/threat-hunting · vega.io/solutions/cross-platform-detection-as-code · vega.io/platform/connectors · Reviewed Sep 2026

How does Vega score?

7.00 / 10

Hunt automation

25%8 / 10

Takes a hypothesis and runs the hunt across sources, showing each step.

Works across existing SIEM and data lakes

20%7 / 10

Queries sources in place with no ingestion, but its public pages do not name the connectors.

Analyst effort saved

15%8 / 10

The vendor says each detection triages, investigates and tunes itself.

ATT&CK coverage evidence

10%8 / 10

A security assessment shows ATT&CK coverage and gaps; hunt findings become MITRE-mapped detections.

Detection-as-code workflow

10%8 / 10

Detections live in source control, each change with a diff, an author and an approver.

Deployment

10%6 / 10

Deployment model not published; a public sandbox is available.

Pricing transparency

10%2 / 10

No public price.

Where Vega scores lower

  • Works across existing data (7 of 10): queries in place, but the connectors it supports are not named publicly, so a buyer cannot check fit before a demo.
  • Deployment (6 of 10): no published deployment model.
  • Pricing transparency (2 of 10): no public price.

What does Vega publish about ATT&CK coverage?

Vega offers an ATT&CK coverage assessment and MITRE-mapped detections, but its public pages do not name specific tactics.

Who should shortlist Vega?

Good fit if

  • Your hunters want to hand off a hypothesis and review a hunt that shows each step.
  • You want detections reviewed like code.

Look elsewhere if

  • You need a published list of supported data sources before shortlisting.

How does Vega compare?

Frequently asked questions

How does Vega run a threat hunt?
You give it a hypothesis or a threat briefing; it runs the hunt across your sources, pivots until it reaches a conclusion, and shows each step.
Does Vega support detection-as-code?
Yes. It keeps detections in source control, with a diff, an author and an approver for each change.

Visit vega.io