Crogl sovereign AI SOC vs Hadrian Nova

Quick answer

Crogl sovereign AI SOC (autonomous alert investigation, threat hunting and evidence-gated auto-remediation) (Crogl (Crogl, Inc.)) and Hadrian Nova (agentic pentesting) (Hadrian) are both listed in the Security category of Agent Index.

They share no framework tags in our dataset.

This is not a ranking.

Crogl sovereign AI SOC (autonomous alert investigation, threat hunting and evidence-gated auto-remediation) (Crogl (Crogl, Inc.)) and Hadrian Nova (agentic pentesting) (Hadrian) are both listed in the Security category of Agent Index. They share no framework tags in our dataset. Only Hadrian Nova (agentic pentesting) is tagged for SOC 2, ISO 27001, DORA.

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Field Crogl sovereign AI SOC (autonomous alert investigation, threat hunting and evidence-gated auto-remediation)Hadrian Nova (agentic pentesting)
Vendor Crogl (Crogl, Inc.)Hadrian
HQ United States · North AmericaNetherlands · Europe
Primary category SecuritySecurity
Also listed in SecuritySecurity, Code security
Summary Self-hosted AI SOC whose agents pick up alerts from SIEM, SOAR and ticketing queues, investigate each one end to end across the customer's own tools, hunt threats and investigate advisories, and only trigger SOAR playbooks once an evidence gate is passed, with a full audit trail for the analyst's decision.On-demand penetration testing run by a fleet of AI hacker agents, paired with Hadrian Atlas for continuous external exposure management.
Frameworks (vendor-stated) —SOC 2, ISO 27001, DORA
Frameworks (vendor-claimed) —SOC 2, ISO 27001, NIS2, DORA, MITRE ATT&CK
Capabilities / tasks security operations, alert triage, case investigation, threat detection, incident responsepen test management, attack surface, exposure management, appsec
Pricing (as published) Free single-user install ($0; 30-day full-feature trial); Enterprise (autonomous investigations, SSO/RBAC, 24/7 support) custom annual pricingNova: from EUR 1,250 per test excluding VAT, bundles available; Atlas priced on total asset count (hadrian.io/pricing).
Pricing model freemiumpublished-tiers
Primary source https://www.crogl.com/https://hadrian.io/products/nova
Last checked 2026-10-192026-10-19
Official site https://www.crogl.com/https://hadrian.io/products/nova

FAQ (from this dataset)

What is the difference between Crogl sovereign AI SOC and Hadrian Nova?

Both are listed under Security. They share no task tags in this dataset. Crogl sovereign AI SOC-only tasks: security-operations, alert-triage, case-investigation, threat-detection, incident-response. Hadrian Nova-only tasks: pen-test-management, attack-surface, exposure-management, appsec. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

Crogl sovereign AI SOC (autonomous alert investigation, threat hunting and evidence-gated auto-remediation): Free single-user install ($0; 30-day full-feature trial); Enterprise (autonomous investigations, SSO/RBAC, 24/7 support) custom annual pricing Hadrian Nova (agentic pentesting): Nova: from EUR 1,250 per test excluding VAT, bundles available; Atlas priced on total asset count (hadrian.io/pricing).

Where are Crogl sovereign AI SOC and Hadrian Nova headquartered?

Crogl sovereign AI SOC (autonomous alert investigation, threat hunting and evidence-gated auto-remediation) publishes HQ in United States. Hadrian Nova (agentic pentesting) publishes HQ in Netherlands.

Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.

Also in this use case

Other verified listings that share a task tag or use-case group with Crogl sovereign AI SOC (autonomous alert investigation, threat hunting and evidence-gated auto-remediation) or Hadrian Nova (agentic pentesting). Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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