CISO Tribune

Vendor comparison · 2 companies

Mave vs Panther

Mave runs investigations, searches, threat hunts, detection hardening, and governed responses across a customer's existing stack. Panther is an AI SOC platform that ingests and normalizes logs at petabyte scale, lets teams write detection rules in Python, and automatically creates detections using AI and natural language. CISO Tribune files both under AI SOC analysts and SIEM. This page sets the two records side by side: what each sells, where it is based, who owns and funds it, the customers it names and its recent news, each fact numbered to its source.

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  • Mave
  • Panther
Mave vs Panther: Products, Customers and Funding Compared
MaveMave runs investigations, searches, threat hunts, detection hardening, and governed responses across a customer's existing stack.mave.comPantherPanther is an AI SOC platform that ingests and normalizes logs at petabyte scale, lets teams write detection rules in Python, and automatically creates detections using AI and natural language.panther.com
What it sells
  • AI SOC[1][14]Governed AI agents that investigate alerts, apply threat intelligence, hunt across tools, improve detections, and execute authorized response actions.
  • Threat Hunting[1][13]Runs continuous, cross-tool threat hunts for threats that never triggered an alert.
  • Detection Engineering[1][13]Finds coverage gaps, tunes noisy detection rules, and creates new detections.
  • Threat Intelligence[1][9][10][14]Converts relevant threat intelligence into investigations, threat hunts, detections, and authorized responses.
  • AI SOC Agent[6]Runs on a schedule, responds to natural language queries, and takes action with complete context.
  • AI Detection Builder[5]Creates detections using AI and natural language.
Categories
Headquarters
Not stated on its pagesNot stated on its pages
Founded
Not stated on its pagesNot stated on its pages
Ownership and funding
Not stated on its pagesNot stated on its pages
Named customers
Not stated on its pagesNot stated on its pages
Recent news
Not stated on its pages
  • June 16, 2026Databricks reached a deal to buy Panther Labs, the company behind Panther, as part of a push into cybersecurity.[7]
  • June 16, 2026Databricks acquired Panther, a startup that works on cyberattack detection.[8]
G2 and Gartner Peer Insights
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
Who it fits
From its own pages, Mave sells mainly to security operations teams that run many tools and want investigation, hunting, detection work, and response across the stack they already have. Mave addresses managed security service providers that want to scale without adding analysts at the same rate as customers. Mave addresses organizations with multiple SIEMs, tenants, and subsidiaries. Mave addresses organizations that want to reduce SIEM ingestion and retention costs. Mave addresses organizations that want alert triage, investigation, and response in-house, and organizations with on-premises workloads alongside cloud and SaaS. Mave also describes an alternative package for smaller teams.Teams with detection engineers can use Detection-as-Code with Python rules, version control, and CI/CD workflows. Teams without detection engineers can start with the built-in detection library and AI Detection Builder. Panther can run inside the customer's own AWS account, or Panther can operate a managed cloud with the customer's data ingested into a dedicated, isolated environment.
Last verified
October 23, 2026September 27, 2026

Where they overlap

  • AI SOC analysts is the primary category of both Mave and Panther; both are also filed under SIEM.

Where they differ, field by field

  • Mave is also filed under Threat intelligence. Panther is also filed under Security data lakes and pipelines.
  • Mave lists AI SOC, Threat Hunting, Detection Engineering and Threat Intelligence. Panther lists AI SOC Agent and AI Detection Builder.

How they differ

CISO Tribune files both Mave and Panther under AI SOC analysts, SIEM, and one further category each: Threat intelligence for Mave, and Security data lakes and pipelines for Panther. Mave sells an AI SOC that runs across the security tools a customer already uses, querying data where it lives with no telemetry migration or duplicate data lake. Mave also sells Threat Hunting, Detection Engineering, and Threat Intelligence offerings. Panther sells an AI SOC Agent and an AI Detection Builder, and describes itself as a cloud-native SIEM built on a security data lake.

Mave works across SPL, KQL, YARA-L, Sigma, EQL, Lucene, and SQL-based rules. Panther's agent submits tuning changes as reviewable Python code through the customer's GitHub workflow, and its threat hunts run across the full data lake. Mave says its integrations start read-only and that it requires review for workflow actions and detection updates. Panther says nothing deploys without human review.

Mave is priced by endpoints protected and team size, not by data volume, and it offers a fixed-price package for smaller teams. Mave addresses managed security service providers and organizations with multiple SIEMs, tenants, and subsidiaries. Panther can run inside the customer's own AWS account against Snowflake or Databricks, or as a managed service with data in a dedicated, isolated environment. On June 16, 2026, Databricks acquired Panther, and Panther's AI SOC workflows, 100+ integrations, and detection-as-code capabilities are being integrated into Databricks Lakewatch.

What it sells: Mave

What AI SOC does[1][14]
Mave runs an AI SOC across the security stack a customer already uses. Mave queries live data in the systems that already hold it, reasons across the evidence, and takes the next authorized action. No telemetry migration, duplicate data lake, central index, or fixed SOAR playbook is required.
What Threat Hunting does[1][13]
Mave applies threat intelligence to the customer's environment and runs continuous, cross-tool threat hunts across the SIEM, EDR, cloud, identity, and other security tools. Each finding becomes a complete investigation, a new or tuned detection, or an authorized response action. Source telemetry stays in place, with no new data lake, central index, or prebuilt correlation pipeline.
What Detection Engineering does[1][13]
Mave works across detection languages and formats, including SPL, KQL, YARA-L, Sigma, EQL, Lucene, and SQL-based rules. Agents review, create, translate, test, and tune detection content in the existing workflow, validate it against historical data where it already lives, and commit or deploy approved changes.
What Threat Intelligence does[1][9][10][14]
Mave determines which campaigns, actors, vulnerabilities, indicators, and techniques are relevant to the customer's environment. Mave evaluates each threat against assets, identities, technologies, vulnerabilities, detections, and live activity.

What it sells: Panther

What AI SOC Agent does[6]
Panther's AI SOC Agent runs on a schedule, responds to natural language queries, and takes action with complete context. Each investigation pulls from the data lake, detection logic, and connected tools via MCP. Panther runs scheduled threat hunts across the full data lake on a cadence the customer configures. Panther generates new detection rules from natural language, identifies recurring false positives, and submits tuning changes as reviewable Python code through the existing GitHub workflow.

Questions about Mave and Panther

What do Mave and Panther sell?
Mave sells AI SOC, Threat Hunting, Detection Engineering and Threat Intelligence. Panther sells AI SOC Agent and AI Detection Builder.
Are Mave and Panther in the same category?
Yes. AI SOC analysts is the primary category of both on CISO Tribune.
Who are Mave and Panther sold to?
From its own pages, Mave sells mainly to security operations teams that run many tools and want investigation, hunting, detection work, and response across the stack they already have. Teams with detection engineers can use Detection-as-Code with Python rules, version control, and CI/CD workflows.
What have Mave and Panther announced recently?
June 16, 2026: Databricks reached a deal to buy Panther Labs, the company behind Panther, as part of a push into cybersecurity.

About Mave

Mave runs investigations, searches, threat hunts, detection hardening, and governed responses across a customer's existing stack. Mave integrates through APIs across every kind of tool. Mave integrations start read-only.[4][14]

Mave states that a security team runs dozens of tools and still cannot prove there are no blind spots. Mave states that a SIEM waits for the user to write the query and read the result. Mave says SecOps is too fragmented to run from one data store or one alert queue.[3][4]

Mave pulls alerts, gathers context from every connected tool, and returns an evidence-backed verdict. Ask Mave lets a customer's team query the entire stack in plain language, with no query syntax required. Mave scores live campaigns against the customer's environment and watches for dormant indicators reactivating. Mave generates a response for each incident according to its blast radius.[3][4]

Mave lets the customer set what runs automatically and what waits for a human: notify, ticket, document, or remediate. Mave requires review for workflow actions and detection updates. Mave uses fine-grained, per-platform API permissions and is read-only on day one. Mave shows what every agent queried, how it correlated, what it concluded, and why.[3]

Mave offers a solution for bringing alert triage, investigation, and response in-house. Mave queries the systems that already hold a customer's data, gathers the required evidence, determines root cause and scope, and takes the next authorized action. Mave can close alerts, update cases, trigger containment, and execute remediation through connected tools. Mave connects on-premises workloads and security tools through lightweight, scoped bridges and combines their live context with cloud and SaaS integrations during each task. For organizations with multiple SIEMs, tenants, and subsidiaries, Mave connects to each SIEM and security tool through scoped APIs and queries data where it lives. Mave keeps context, permissions, and data access separated by environment.[1][4][5][6][7][8][10][13][14]

In the MSSP setting, every Mave agent operates with client-specific context, threat intelligence, permissions, and response policies. Mave applies threat intelligence to the customer's environment and runs continuous, cross-tool threat hunts across the SIEM, EDR, cloud, identity, and other security tools. Mave starts a hunt with a campaign, actor, vulnerability, indicator, technique, or analyst hypothesis. Mave finds coverage gaps, tunes noisy detection rules, and creates new detections from threat intelligence, hunts, and investigations. Mave works across detection languages and formats, including SPL, KQL, YARA-L, Sigma, EQL, Lucene, and SQL-based rules. Mave determines which campaigns, actors, vulnerabilities, indicators, and techniques are relevant to the customer's environment.[1][3][6][9][10][11][12]

Mave is priced by the number of endpoints a customer protects and the size of the team, not by the volume of data. Mave offers managed, searchable retention for security data, with hot and cold tiers set per source. Mave offers managed services: context tuning, threat hunting, detection engineering, and reporting. Mave offers an alternative package for smaller teams at a fixed price.[1][2][3][6][7][9][10][11][12][13][14]

Mave on the record

Sources

Mave full record

  1. [1]mave.comMave · mave.com · undated page, accessed October 23, 2026 · Tier A
  2. [2]Terms and conditionsMave · mave.com · published February 15, 2026 · Tier A
  3. [3]AI Security Operations Platform | MaveMave · undated page, accessed November 10, 2026 · Tier A
  4. [4]Mave Platform | The SecOps Operating SystemMave · undated page, accessed November 10, 2026 · Tier A
  5. [5]Reduce MDR Reliance | MaveMave · undated page, accessed November 10, 2026 · Tier A
  6. [6]SIEM Cost Reduction & Replacement | MaveMave · undated page, accessed November 10, 2026 · Tier A
  7. [7]On-Prem SecOps Deployment | MaveMave · undated page, accessed November 10, 2026 · Tier A
  8. [8]Multi-SIEM & Post-M&A SecOps | MaveMave · undated page, accessed November 10, 2026 · Tier A
  9. [9]Multi-Tenant SecOps For MSSPs | MaveMave · undated page, accessed November 10, 2026 · Tier A
  10. [10]Threat Hunting | MaveMave · undated page, accessed November 10, 2026 · Tier A
  11. [11]Detection Engineering with MITRE ATT&CK | MaveMave · undated page, accessed November 10, 2026 · Tier A
  12. [12]Threat Intelligence | MaveMave · undated page, accessed November 10, 2026 · Tier A
  13. [13]Pricing | MaveMave · undated page, accessed November 10, 2026 · Tier A
  14. [14]AI SOC Agents for Full-Loop SecOps | MaveMave · undated page, accessed November 10, 2026 · Tier A

Panther full record

  1. [1]ProductPanther · panther.com · undated page, accessed September 27, 2026 · Tier A
  2. [2]panther.comPanther · panther.com · undated page, accessed September 27, 2026 · Tier A
  3. [3]Overview | Panther DocsPanther · undated page, accessed October 27, 2026 · Tier A
  4. [4]Security Integrations for Modern SOC Operations | PantherPanther · undated page, accessed October 27, 2026 · Tier A
  5. [5]Panther | The Complete AI SOC PlatformPanther · undated page, accessed October 27, 2026 · Tier A
  6. [6]AI SOC Agent for Alert Triage & Investigation | PantherPanther · undated page, accessed October 27, 2026 · Tier A
  7. [7]Databricks strikes deal to buy Panther Labs in cybersecurity pushReuters · published June 16, 2026 · Tier B
  8. [8]Databricks acquires cyberattack detection startup PantherSiliconANGLE · published June 16, 2026 · Tier B
  9. [9]Security Integrations for Modern SOC Operations | PantherPanther · undated page, accessed November 10, 2026 · Tier A
  10. [10]Orca Security Logs | Panther DocsPanther · undated page, accessed November 10, 2026 · Tier A

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