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Panther

Cloud-native SIEM built on a security data lake architecture with detections-as-code and long-term retention.

by Panther LabsOfficial site ↗
Open source
No

Editorial review

Panther has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

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Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Tags(open-source;cloud-native)
siem, ai soc, detection engineering, threat hunting, security analytics, databricks lakewatchVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance)
SaaSVerified

Features · Product · Fit

Core capabilities(authoring;automation;analytics)
Complete AI SOC platform purpose-built for agents, Natural-language detection creation, fully reviewable and editable, Auto triage that investigates every alert and closes confirmed benign ones, Scheduled proactive threat hunting across the full data lake, Human-in-the-loop control with permission enforcement and tenant isolation, Detection engineering at scale with governed qualityVerification pending

Audience · Use · Case

Best for(Neutral editorial summary)
Security teams adopting an agentic AI SOC with governed detections and auto-triage on an open data lake.Verification pending
Company-size fit(individual;SMB;mid-market;enterprise)
mid-market, enterpriseVerified
Primary use cases(build;monitor;automate)
Stand up a fully deployed in-house enterprise SOC in weeks, Reduce alert volume with automated triage, Continuous proactive threat coverageVerification pending
Skill level(beginner;intermediate;advanced;specialist)
specialistVerification pending

Lifecycle · Versioning

Maintenance status(active;maintenance;deprecated;EOL;archived)
activeVerified

Vendor · Maintainer

Vendor type(commercial;foundation;community;government;consortium;individual)
commercialVerification pending

User reviews

Review policy

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