Matchup · Logged September 2026
Cotool vs Vega: threat hunting tools compared
Cotool: AI SOC and agent-native SIEM for the blue team. Vega: Agentic security operations platform.
Editorial assessment · From vendor product pages, docs and announcements · Updated 2026-10-18
#4
Cotool
Best for building custom blue-team agents
#5
Vega
Best for hand-off hypothesis hunts with source-controlled detections
How do they compare on each criterion?
| Criterion | Weight | Cotool | Vega | Edge |
|---|---|---|---|---|
| Hunt automation | 25% | 8 | 8 | Tie |
| Works across existing SIEM and data lakes | 20% | 8 | 7 | Cotool |
| Analyst effort saved | 15% | 8 | 8 | Tie |
| ATT&CK coverage evidence | 10% | 8 | 8 | Tie |
| Detection-as-code workflow | 10% | 7 | 8 | Vega |
| Deployment | 10% | 6 | 6 | Tie |
| Pricing transparency | 10% | 2 | 2 | Tie |
- Hunt automation
- Cotool: Agents gather intelligence from public sources, check relevance to your environment and propose detections.
- Vega: Takes a hypothesis and runs the hunt across sources, showing each step.
- Works across existing SIEM and data lakes
- Cotool: 40+ native integrations including Splunk, Panther, Datadog, Snowflake and Databricks, plus custom MCP servers.
- Vega: Queries sources in place with no ingestion, but its public pages do not name the connectors.
- Analyst effort saved
- Cotool: Chat investigations can be turned into always-on agents.
- Vega: The vendor says each detection triages, investigates and tunes itself.
- ATT&CK coverage evidence
- Cotool: Maps the whole detection suite onto ATT&CK to show coverage and gaps.
- Vega: A security assessment shows ATT&CK coverage and gaps; hunt findings become MITRE-mapped detections.
- Detection-as-code workflow
- Cotool: Compatible with existing detection-as-code tooling, with agent version control.
- Vega: Detections live in source control, each change with a diff, an author and an approver.
- Deployment
- Cotool: Deployment model and timeline are not published.
- Vega: Deployment model not published; a public sandbox is available.
- Pricing transparency
- Cotool: No public price.
- Vega: No public price.
How do they differ in approach?
Cotool
- Category
- AI SOC and agent-native SIEM for the blue team
- Hunting approach
- Agents gather public and custom intelligence, check relevance, propose detections
- Data access
- Stores logs optimized for agents; detections can also run directly against the tools where data already lives, through 40+ native integrations and custom MCP servers
- Detection workflow
- Works with existing detection-as-code tooling; agent version control; automatic tuning
Vega
- Category
- Agentic security operations platform
- Hunting approach
- Autonomous hunts from a hypothesis or threat briefing, with each step shown
- Data access
- Queries sources in place; no ingestion
- Detection workflow
- Source control with diff, author and approver; cross-platform detection-as-code
What do they publish about pricing and deployment?
| Fact | Cotool | Vega |
|---|---|---|
| Pricing | Not published, contact sales | Not published, contact sales |
| Deployment | Not published | Not published |
| Company | San Francisco; investors listed as Andreessen Horowitz, WndrCo, Y Combinator and Homebrew | Offices listed in Tel Aviv and New York |
Cotool
Source: cotool.ai · Read 2026-10-13 · cotool.ai/hunt · cotool.ai/detect · Read 2026-10-13 · cotool.ai/about · Source dates shown above
Vega
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
Which should you choose?
Choose Cotool if
- Choose Cotool if your data is spread across a SIEM, EDR, identity provider, cloud logs or a data lake and you want to hunt it where it sits. Cotool scores 8 of 10 on working across existing SIEM and data lakes: 40+ native integrations including Splunk, Panther, Datadog, Snowflake and Databricks, plus custom MCP servers.
- Choose Cotool if you want hunts that start on their own from new intelligence or a hypothesis. Cotool scores 8 of 10 on hunt automation: Agents gather intelligence from public sources, check relevance to your environment and propose detections.
Choose Vega if
- Choose Vega if your rules go through version control, review and testing before they ship. Vega scores 8 of 10 on detection-as-code workflow: Detections live in source control, each change with a diff, an author and an approver.
- Choose Vega if you want hunts that start on their own from new intelligence or a hypothesis. Vega scores 8 of 10 on hunt automation: Takes a hypothesis and runs the hunt across sources, showing each step.
Frequently asked questions
Which is better, Cotool or Vega?
On our weights Cotool scores higher, 7.10 against 7.00. Which fits better depends on your priorities: Cotool leads on working across existing SIEM and data lakes and Vega leads on detection-as-code workflow. The calculator lets you apply your own weights.
Do Cotool and Vega publish pricing?
Cotool: Not published, contact sales. Vega: Not published, contact sales.
Do Cotool or Vega replace a SIEM?
Neither is scored here as a SIEM replacement. Both work with the SIEM and the other data platforms a team already runs.