CounterShadow AMI vs HarkX Agentic AI SOC platform

Quick answer

CounterShadow AMI (Autonomous Machine Intelligence) – autonomous SOC triage, investigation and response (CounterShadow (CounterShadow Ltd)) and HarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response) (HarkX (HarkX Technologies Global Private Limited)) are both listed in the Security category of Agent Index.

They share no framework tags in our dataset.

This is not a ranking.

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

Columns

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Field CounterShadow AMI (Autonomous Machine Intelligence) – autonomous SOC triage, investigation and responseHarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response)
Vendor CounterShadow (CounterShadow Ltd)HarkX (HarkX Technologies Global Private Limited)
HQ United Kingdom · EuropeIndia · India
Primary category SecuritySecurity
Also listed in SecuritySecurity
Summary UK autonomous SOC product: AMI plans and runs investigation of every SIEM/EDR alert across connected tools without playbooks, returns a true/false-positive verdict with severity and logged evidence in about eight minutes, and can isolate hosts, block IPs or disable accounts under approvals the customer configures.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.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) ——
Capabilities / tasks security operations, alert triage, case investigation, incident responsesecurity operations, alert triage, case investigation, incident response, threat detection
Pricing (as published) Not publishedNot published
Pricing model quotequote
Primary source https://countershadow.com/https://harkx.ai/platform
Last checked 2026-10-202026-10-20
Official site https://countershadow.com/https://harkx.ai/

FAQ (from this dataset)

What is the difference between CounterShadow AMI and HarkX Agentic AI SOC platform?

Both are listed under Security. Shared tasks: security-operations, alert-triage, case-investigation, incident-response. CounterShadow AMI-only tasks: none. HarkX Agentic AI SOC platform-only tasks: threat-detection. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

CounterShadow AMI (Autonomous Machine Intelligence) – autonomous SOC triage, investigation and response: Not published HarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response): Not published

Where are CounterShadow AMI and HarkX Agentic AI SOC platform headquartered?

CounterShadow AMI (Autonomous Machine Intelligence) – autonomous SOC triage, investigation and response publishes HQ in United Kingdom. HarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response) publishes HQ in India.

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 CounterShadow AMI (Autonomous Machine Intelligence) – autonomous SOC triage, investigation and response or HarkX Agentic AI SOC platform (multi-agent triage, threat hunting, investigation and automated response). Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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