Matchup · Logged September 2026
Nebulock vs Vega: threat hunting tools compared
Nebulock: Agentic cybersecurity engineering platform. Vega: Agentic security operations platform.
Editorial assessment · From vendor product pages, docs and announcements · Updated 2026-10-18
#1=
Nebulock
Joint top pick: hypothesis-driven hunting with open frameworks
#5
Vega
Best for hand-off hypothesis hunts with source-controlled detections
How do they compare on each criterion?
| Criterion | Weight | Nebulock | Vega | Edge |
|---|---|---|---|---|
| Hunt automation | 25% | 9 | 8 | Nebulock |
| Works across existing SIEM and data lakes | 20% | 8 | 7 | Nebulock |
| Analyst effort saved | 15% | 8 | 8 | Tie |
| ATT&CK coverage evidence | 10% | 7 | 8 | Vega |
| Detection-as-code workflow | 10% | 8 | 8 | Tie |
| Deployment | 10% | 7 | 6 | Nebulock |
| Pricing transparency | 10% | 2 | 2 | Tie |
- Hunt automation
- Nebulock: Autonomous hunts from intelligence plus a published four-stage hypothesis framework (LOCK).
- Vega: Takes a hypothesis and runs the hunt across sources, showing each step.
- Works across existing SIEM and data lakes
- Nebulock: Federated search fetches data just in time; docs name EDR, identity, cloud and Microsoft Sentinel integrations.
- Vega: Queries sources in place with no ingestion, but its public pages do not name the connectors.
- Analyst effort saved
- Nebulock: Agents cover intelligence, hunt, investigation and detection; retrohunts reduce tuning work.
- Vega: The vendor says each detection triages, investigates and tunes itself.
- ATT&CK coverage evidence
- Nebulock: Hypotheses map to ATT&CK and docs name credential theft, privilege escalation and lateral movement; no full public map.
- Vega: A security assessment shows ATT&CK coverage and gaps; hunt findings become MITRE-mapped detections.
- Detection-as-code workflow
- Nebulock: Immutable version history with compare and revert, GitHub export, and a required retrohunt before deployment.
- Vega: Detections live in source control, each change with a diff, an author and an approver.
- Deployment
- Nebulock: SaaS with documented integrations; no published time-to-value figure.
- Vega: Deployment model not published; a public sandbox is available.
- Pricing transparency
- Nebulock: No public price.
- Vega: No public price.
How do they differ in approach?
Nebulock
- Category
- Agentic cybersecurity engineering platform
- Hunting approach
- Autonomous hunts from intelligence (Vespyr) and hypothesis-driven hunts (LOCK framework)
- Data access
- Federated search (Helix), data fetched when a hunt needs it
- Detection workflow
- Chat or SQL editing, immutable version history, GitHub export, required retrohunt before deployment
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 | Nebulock | Vega |
|---|---|---|
| Pricing | Not published, contact sales | Not published, contact sales |
| Deployment | SaaS | Not published |
| Company | Open-source ATHF and detection engineering framework on GitHub (MIT) | Offices listed in Tel Aviv and New York |
Nebulock
Source: nebulock.io · nebulock.io/platform · Read 2026-10-22 · docs.nebulock.io · docs.nebulock.io/docs/detection-engineering · github.com/Nebulock-Inc · 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 Nebulock if
- Choose Nebulock if you want hunts that start on their own from new intelligence or a hypothesis. Nebulock scores 9 of 10 on hunt automation: Autonomous hunts from intelligence plus a published four-stage hypothesis framework (LOCK).
- Choose Nebulock 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. Nebulock scores 8 of 10 on working across existing SIEM and data lakes: Federated search fetches data just in time; docs name EDR, identity, cloud and Microsoft Sentinel integrations.
Choose Vega if
- Choose Vega if you need published evidence of how ATT&CK coverage is measured. Vega scores 8 of 10 on ATT&CK coverage evidence: A security assessment shows ATT&CK coverage and gaps; hunt findings become MITRE-mapped detections.
- 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, Nebulock or Vega?
On our weights Nebulock scores higher, 7.45 against 7.00. Which fits better depends on your priorities: Nebulock leads on hunt automation, working across existing SIEM and data lakes and deployment and Vega leads on ATT&CK coverage evidence. The calculator lets you apply your own weights.
Do Nebulock and Vega publish pricing?
Nebulock: Not published, contact sales. Vega: Not published, contact sales.
Do Nebulock 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.