HarkX Agentic AI SOC platform vs Simbian AI Pentest Agent

Quick answer

HarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response) (HarkX (HarkX Technologies Global Private Limited)) and Simbian AI Pentest Agent (Simbian) are both listed in the Security category of Agent Index.

They share no framework tags in our dataset.

This is not a ranking.

HarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response) (HarkX (HarkX Technologies Global Private Limited)) and Simbian AI Pentest Agent (Simbian) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.

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Field HarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response)Simbian AI Pentest Agent
Vendor HarkX (HarkX Technologies Global Private Limited)Simbian
HQ India · IndiaUnited States · North America
Primary category SecuritySecurity
Also listed in SecuritySecurity
Summary Bengaluru-built AI-native SOC platform in which specialised AI agents correlate and score alerts, run scheduled threat hunts, investigate cases and execute containment and automated response actions across SIEM, EDR/XDR, cloud and SOAR tools, with multi-tenant support for MSSPs.An autonomous AI agent for on-demand, ongoing penetration testing that adapts its testing logic in real time and focuses findings on each customer's business context, developed with LRQA's pentesting methodology.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) ——
Capabilities / tasks security operations, alert triage, case investigation, incident response, threat detectionpen test management, attack surface, vulnerability management, exposure management
Pricing (as published) Not publishedPublished on simbian.ai/ai-pentest-agent: Standard $4,000 per pentest; Premium $8,000 per pentest; Custom by quote. Vendor page says up to five retests are included. Deployment modes in the launch release: SaaS, Dedicated SaaS and on-premises.
Pricing model quotepublished-tiers
Primary source https://harkx.ai/platformhttps://simbian.ai/ai-pentest-agent
Last checked 2026-10-202026-10-18
Official site https://harkx.ai/https://simbian.ai/ai-pentest-agent

FAQ (from this dataset)

What is the difference between HarkX Agentic AI SOC platform and Simbian AI Pentest Agent?

Both are listed under Security. They share no task tags in this dataset. HarkX Agentic AI SOC platform-only tasks: security-operations, alert-triage, case-investigation, incident-response, threat-detection. Simbian AI Pentest Agent-only tasks: pen-test-management, attack-surface, vulnerability-management, exposure-management. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

HarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response): Not published Simbian AI Pentest Agent: Published on simbian.ai/ai-pentest-agent: Standard $4,000 per pentest; Premium $8,000 per pentest; Custom by quote. Vendor page says up to five retests are included. Deployment modes in the launch release: SaaS, Dedicated SaaS and on-premises.

Where are HarkX Agentic AI SOC platform and Simbian AI Pentest Agent headquartered?

HarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response) publishes HQ in India. Simbian AI Pentest Agent publishes HQ in United States.

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 HarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response) or Simbian AI Pentest Agent. Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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