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Panther — AI for Compliance, Audit & GRC

AI SOC platform providing automated alert triage, detection engineering, and threat hunting on your data lake.

What is Panther?

Panther: AI SOC platform providing automated alert triage, detection engineering, and threat hunting on your data lake. No free plan. Zekai scores it 8.6 out of 10 after independent testing. Best for security teams scaling alert triage and detection engineering.

DifferentiatorAgentic SOC platform built natively for automated investigation and human-in-the-loop governance
Proof85% fewer alerts reaching the queue
Explore Panther
8.6 Zekai
AI SOC Platform
AI for Compliance, Audit & GRC
Ease of Use
8.0
Accuracy
9.0
Value
8.0
Time Saving
9.0
AI TriageDetection EngineeringThreat HuntingHuman-in-the-LoopTenant Isolation
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Zekai Verdict

What is it?
Panther is an AI security operations platform designed to automate alert triage, detection engineering, and threat hunting with full context.
Best for
Security Operations & Compliance
Not ideal for
Requires proper oversight to manage agentic workflows
Price
Pricing on request
Zekai Score
8.6/10
Hand-scored by Zekai

Top AI for Compliance, Audit & GRC picks

See all 117 AI tools for Compliance →
⚡ Quick answer

Panther is an AI-powered security operations platform that automates alert triage, detection engineering, and threat hunting across data lakes. It combines agentic workflows with human-in-the-loop controls to reduce alert fatigue for security teams.

CategoryAI for Compliance, Audit & GRC
Best forSecurity teams scaling alert triage and detection engineering
Free planno
DifferentiatorAgentic SOC platform built natively for automated investigation and human-in-the-loop governance
Proof85% fewer alerts reaching the queue
Rating4.5
📖 About Panther
Real Impact

Before & After

❌ Before

Security analysts manually piecing together fragmented logs and drowning in repetitive alert queues.

High queue volume
✅ After

Automated alert triage handling benign noise and agents assembling full investigations with contextual runbooks.

85% fewer alerts
AI Prompts

Prompts for Compliance

Prompt 01 Summarize a New Regulation for a Board Report
You are a senior compliance analyst preparing a briefing for the board of directors. Your audience is smart but not composed of compliance experts.
Prompt 02 Create a Gap Analysis Checklist
You are a compliance manager for a [describe your company type, e.g., 'mid-sized fintech company that offers payment processing services in the United States and EU']. I am providing the text of a new regulation: [[Name of Regulation]].
Prompt 03 Compare Two Versions of a Regulation
You are a compliance officer tracking changes to existing regulations. I will provide you with two versions of the same rule: an 'Old Version' and a 'New Version'. Your task is to identify and summarize the material changes between the two.
See all 34 AI prompts for Compliance →
Social Proof

Trusted by professionals

Ease of Use
8.0
Accuracy
9.0
Value
8.0
Time Saving
9.0
Connects With

Panther integrations

Amazon Bedrock Databricks Lakewatch
Setup complexity: Advanced
Panther is an AI security operations platform designed to automate alert triage, detection engineering, and threat hunting with full context. It helps security teams handle repetitive investigation tasks while keeping human-in-the-loop control over actions and permissions. Now part of Databricks Lakewatch.
The decision

Is Panther worth it?

Built for
Security engineers, security analysts, and security operations center leaders
Effort to adopt
Advanced
Who It's For

Why Compliance, Audit & GRC choose this tool

🎯
Built for
Security Operations & Compliance
In-Depth Overview
When managing security operations, your team often deals with fragmented logs, rising costs from legacy systems, and manual alert fatigue. Panther addresses these bottlenecks by operating as an AI-native security operations center platform. It connects your security data to perform automated triage, closing benign alerts and retaining investigation history to sharpen future detections. You can write detections using natural language, allowing junior contributors to build experience while senior engineers ship faster. Proactive coverage schedules mean agents hunt across the data lake to surface findings that flow directly into your workflows. Furthermore, human-in-the-loop controls require explicit approvals for writes, and tenant isolation on Amazon Bedrock ensures your data is never used for model training. While this approach helps scale a small security team's output, relying heavily on automated agent runbooks still demands careful oversight by experienced practitioners to avoid overlooking nuanced threats. By integrating automated triage with governed agentic actions, Panther helps organizations shrink alert queues and reduce the manual overhead typically associated with legacy SIEM tools.

Key Use Cases

🛡️
Auto-create detections
Security Engineer
Use natural language inputs to quickly spin up new detection rules and manage custom security coverage.
Fast setup
📊
Automated alert triage
SOC Analyst
Let agents investigate alerts with full context and automatically close confirmed benign items.
85% fewer alerts
✓ Pros
Reduces alert queue volume significantly
Enforces user permissions during agent execution
Keeps customer data out of model training
Accelerates detection engineering workflows
Provides transparent, reviewable AI actions
· Cons
Requires proper oversight to manage agentic workflows
Integration into existing legacy stacks requires careful setup
Platform changes due to Databricks acquisition may alter roadmaps
Dependent on robust underlying log data hygiene
⚡ Editorial Verdict

Panther provides practical AI-driven automation for alert triage and detection engineering, reducing manual queue volume effectively. However, since the platform is now part of Databricks Lakewatch, buyers must evaluate how this integration impacts their current architecture and licensing costs.

Questions & Answers

Frequently asked questions

Is my data used to train AI models?

+
No, customer data is not used in model training, and tenant isolation is maintained on Amazon Bedrock.

Who owns Panther?

+
Panther is now part of Databricks Lakewatch.

How does Panther handle human oversight?

+
Human approval is required for every write action, and all AI actions are logged and reviewable.

Last reviewed:

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AI Directory

About Panther

Full Description

Panther is an AI security operations platform designed to automate alert triage, detection engineering, and threat hunting with full context. It helps security teams handle repetitive investigation tasks while keeping human-in-the-loop control over actions and permissions. Now part of Databricks Lakewatch.

Editorial Verdict

Panther provides practical AI-driven automation for alert triage and detection engineering, reducing manual queue volume effectively. However, since the platform is now part of Databricks Lakewatch, buyers must evaluate how this integration impacts their current architecture and licensing costs.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to Panther unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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