Mave agentic SecOps vs Spharaka Sphere
Quick answer
Mave agentic SecOps (AI SOC agents) (Mave (Mave Security Ltd.)) and Spharaka Sphere (agentic AI SOC platform with autonomous investigation and policy-bounded response) (Spharaka Networks (Spharaka Networks 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.
Mave agentic SecOps (AI SOC agents) (Mave (Mave Security Ltd.)) and Spharaka Sphere (agentic AI SOC platform with autonomous investigation and policy-bounded response) (Spharaka Networks (Spharaka Networks Private Limited)) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  Mave agentic SecOps (AI SOC agents) |  Spharaka Sphere (agentic AI SOC platform with autonomous investigation and policy-bounded response) |
|---|---|---|
| Vendor | Mave (Mave Security Ltd.) | Spharaka Networks (Spharaka Networks Private Limited) |
| HQ | Israel · Middle East | India · India |
| Primary category | Security | Security |
| Also listed in | Security | Security |
| Summary | Agentic SecOps platform whose governed AI agents investigate every alert across the security tools a company already runs, hunt threats, improve detections and trigger authorised response actions, without ingesting data into a new lake; teams set policies, permissions and approval gates. | Indian-built agentic SOC platform (SIEM, SOAR, UEBA, XDR and threat hunting in one) where AI agents triage and investigate every alert to a conclusion and execute containment inside a customer-defined policy envelope, staging higher-impact actions for a named approver. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | CERT-In Directions, DPDP Act, SOC 2 Type I, RBI cyber security directions, SEBI CSCRF |
| Capabilities / tasks | security operations, alert triage, case investigation, threat detection, incident response, threat intelligence | security operations, alert triage, case investigation, incident response, threat detection |
| Pricing (as published) | Not published; priced by number of endpoints and security-team size (custom quote form on mave.com/pricing, checked 2026-10-23) | Not published |
| Pricing model | quote | quote |
| Primary source | https://www.mave.com/solutions/ai-soc | https://spharaka.com/capabilities/ai-soc |
| Last checked | 2026-10-23 | 2026-10-19 |
| Official site | https://www.mave.com/solutions/ai-soc | https://spharaka.com/capabilities/ai-soc |
FAQ (from this dataset)
What is the difference between Mave agentic SecOps and Spharaka Sphere?
Both are listed under Security. Shared tasks: security-operations, alert-triage, case-investigation, threat-detection, incident-response. Mave agentic SecOps-only tasks: threat-intelligence. Spharaka Sphere-only tasks: none. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Mave agentic SecOps (AI SOC agents): Not published; priced by number of endpoints and security-team size (custom quote form on mave.com/pricing, checked 2026-10-23) Spharaka Sphere (agentic AI SOC platform with autonomous investigation and policy-bounded response): Not published
Where are Mave agentic SecOps and Spharaka Sphere headquartered?
Mave agentic SecOps (AI SOC agents) publishes HQ in Israel. Spharaka Sphere (agentic AI SOC platform with autonomous investigation and policy-bounded response) publishes HQ in India.
Also in this use case
Other verified listings that share a task tag or use-case group with Mave agentic SecOps (AI SOC agents) or Spharaka Sphere (agentic AI SOC platform with autonomous investigation and policy-bounded response). Open a pair page or the use-case table — this is not a ranking.
- Napier AI Continuum responsible agents (screening alert triage and auto-clearing) — Configurable AI agents in London-based Napier AI's Continuum financial-crime platform. In Client Screening and Transaction Screening, compliance teams build and tailor 'responsible agents' in a no-code sandbox and choose how much autonomy to hand over, from flagging sanctions, PEP and adverse-media matches for review to clearing known patterns automatically before they reach a queue, with every agent action explained and captured in the audit trail.
- SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) — Roster of specialist agents inside the SOCRadar threat-intelligence platform: customers deploy agents, set each one's skills, scope and access, and green-light sensitive steps. Agents cover threat-actor and ransomware intelligence, detection-rule writing, IoC enrichment, identity/credential exposure, vulnerability analysis, brand and dark-web monitoring, phishing-domain hunting, external attack surface and Shodan recon, and alarm triage that records verdicts and asks before changing an alarm's status. · SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) pair comparison
- Strike48 agentic SecOps platform (pre-built SOC agent team and no-code agent builder over federated logs, cloud or air-gapped on-prem) — Agentic orchestration platform for SOC and IT teams from the company behind the Devo log platform: purpose-built micro agents triage and investigate alerts, analyse phishing, hunt threats, write and tune detections and help with compliance over logs queried in place across SIEMs and data lakes, with configurable human approval and an audit trail; available as SaaS, isolated compute or an air-gapped on-prem appliance. · Strike48 agentic SecOps platform (pre-built SOC agent team and no-code agent builder over federated logs, cloud or air-gapped on-prem) pair comparison
- Trulioo UBO Discovery Agent (agentic beneficial-ownership research inside KYB) — Agentic AI inside Trulioo's KYB verification workflow from Vancouver-headquartered Trulioo. When registries run out, the UBO Discovery Agent researches filings, disclosures, legal and public records, OSINT and verified third-party databases, reaches registries without API connectivity in real time, reconstructs the beneficial-ownership chain with jurisdiction-specific control logic, cites every finding and reports gaps instead of guessing.
Use-case comparisons
- AI SOC and security-analyst agents — 51 listings (Security operations, alert investigation and threat detection)
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