CISO Tribune

Vendor comparison · 2 companies

Panther vs Realm Security

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. Realm Security sells a SOC-aware Security Data Pipeline Platform, abbreviated SDPP. CISO Tribune files both under SIEM and Security data lakes and pipelines. 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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  • Panther
  • Realm Security
Panther vs Realm Security: Products, Customers and Funding Compared
PantherPanther 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.comRealm SecurityRealm Security sells a SOC-aware Security Data Pipeline Platform, abbreviated SDPP.realm.security
What it sells
  • 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.
  • Realm Platform[1][2][3]A SOC-aware security data pipeline that connects any source and sends data to any destination.
  • Realm Clarity AI[1][5]Understands what each source produces and what each destination needs, then shapes the flow between them.
  • Detection Integrity[1][8]Proves that a data cut did not cost a detection.
  • Privacy Guard[1][8]Discovers and masks PII, PHI and PCI in transit.
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
  • 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]
  • October 29, 2026Realm Security expanded its Realm Partner Program by adding Crush Security and ProCern Technology Solutions in North America.[11]
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
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.Realm Security reports enterprise demand for vendor-neutral control over the telemetry feeding SIEMs, data lakes and AI agents in the security operations center. The company states that delivering value quickly for resource-constrained security defenders is at the core of its mission. Realm Security's partner program is aimed at resellers, MSSPs, technology advisors and cybersecurity consultancies. One partner type it names is an MSSP that integrates the Realm Platform into a fully managed data pipeline service.
Last verified
September 27, 2026November 5, 2026

Where they overlap

  • Panther and Realm Security are both filed under SIEM and Security data lakes and pipelines.

Where they differ, field by field

  • Panther's primary category is AI SOC analysts; Realm Security's is Security data lakes and pipelines.
  • Realm Security is also filed under Data security posture management.
  • Panther lists AI SOC Agent and AI Detection Builder. Realm Security lists Realm Platform, Realm Clarity AI, Detection Integrity and Privacy Guard.

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.

What it sells: Realm Security

What Realm Platform does[1][2][3]
The Realm Platform is the SOC-aware security data pipeline. The Realm Platform connects any source and sends data to any destination. Realm manages the infrastructure while the customer's SOC owns the decisions.
What Realm Clarity AI does[1][5]
Clarity AI profiles every source at the field level and models what each destination can consume. Recommendations are shown with a match rate and run in a pending state against live data before they go active. Clarity AI does the analysis and the customer's team approves the changes.
What Detection Integrity does[1][8]
Detection Integrity proves that a data cut did not cost a detection. Realm checks every reduction against the customer's live detections.
What Privacy Guard does[1][8]
Privacy Guard masks sensitive data in transit without altering structure, so parsers and detection logic keep working. Authorized investigators can retrieve unredacted values from Data Haven.

Questions about Panther and Realm Security

What do Panther and Realm Security sell?
Panther sells AI SOC Agent and AI Detection Builder. Realm Security sells Realm Platform, Realm Clarity AI, Detection Integrity and Privacy Guard.
Are Panther and Realm Security in the same category?
They share SIEM and Security data lakes and pipelines. Panther's primary category is AI SOC analysts and Realm Security's is Security data lakes and pipelines.
Who are Panther and Realm Security sold to?
Teams with detection engineers can use Detection-as-Code with Python rules, version control, and CI/CD workflows. Realm Security reports enterprise demand for vendor-neutral control over the telemetry feeding SIEMs, data lakes and AI agents in the security operations center.
What have Panther and Realm Security announced recently?
June 16, 2026: Databricks reached a deal to buy Panther Labs, the company behind Panther, as part of a push into cybersecurity. October 29, 2026: Realm Security expanded its Realm Partner Program by adding Crush Security and ProCern Technology Solutions in North America.

About Panther

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. Panther is a cloud-native SIEM featuring detections-as-code and advanced search, with natively supported log sources and alert destinations. Panther ingests terabytes of security events per day into a structured data lake to power real-time detections and investigations. Panther uses a security data lake architecture that provides long-term retention. Customers own their data and can query it at any time, and retention policies in Panther are configurable to meet compliance requirements.[2][3]

Panther says that cloud security logs, EDR portals, and MDR consoles each exist in silos with no central view. Panther states that analysts manually piece context together, often missing critical details. Panther describes an agentic SOC in which agents hunt the full data lake on a regular cadence, surfacing findings that flow into new detections through a governed workflow. In Panther, every alert is investigated with full context, and confirmed benign alerts close automatically. When a finding escalates in Panther, the agent assembles the full investigation across multiple systems, and analysts review and guide agentic runbooks to take action.[6]

Panther's AI SOC Agent runs on a schedule, responds to natural language queries, and takes action with complete context. Every investigation by the AI SOC Agent pulls from the customer's data lake, detection logic, and connected tools via MCP. When an alert fires, Panther automatically gathers evidence across the data lake, detection logic, alert history, and connected tools. Panther AI queries the data lake, reviews detection logic, and pulls enrichment from connected tools, delivering a risk classification with reasoning. Any analyst can investigate through a natural language interface in Panther without writing SQL, PantherFlow, or any other query syntax. Panther exposes its own MCP server, so external agents can query alerts, detections, and log data directly. When the risk classification of the AI SOC Agent falls below a threshold the customer configures, the alert closes automatically.[6]

Panther generates new detection rules from natural language, identifies recurring false positives, and submits tuning changes as reviewable Python code through the customer's existing GitHub workflow. The Panther agent traces an issue back to the specific Python rule responsible and proposes an edit as reviewable code through the existing GitHub workflow, with a diff, explanation, and unit tests. In Panther, nothing deploys without human review. Teams with detection engineers use Detection-as-Code in Panther, with Python rules, version control, and CI/CD workflows. Teams without detection engineers can start with Panther's built-in detection library and AI Detection Builder, then grow into custom rules over time.[6]

Panther connects to cloud platforms (AWS, GCP, Azure), SaaS tools, endpoints, and network devices. Panther routes alerts to Slack, Jira, PagerDuty, and more. For orchestration and response, Panther provides agentic workflows and runbooks or integrates with external SOAR platforms. Panther offers Okta log monitoring for complete visibility into IdP activity. Panther detections can be enriched with real-time IoCs from Google Threat Intelligence. Panther AI can send messages and search a Slack workspace directly, manage incidents and on-call schedules directly, and search and update a Notion workspace directly. Panther-managed rules for Orca Security are in the panther-analysis GitHub repository. Panther includes built-in dashboards and MITRE ATT&CK mapping, from alert trends to program maturity. In Panther, native access to detection logic means every triage outcome feeds back into the rules that fire.[6][9][10]

Panther offers two deployment models on one platform, and the choice is where the customer's data lives. In the first model, Panther runs inside the customer's AWS account, against Snowflake or Databricks, and the security data stays in the customer's warehouse. The detection engine, workflows, and agents in Panther operate against that data in place. In the managed model, Panther manages the service and ingests customer data into a dedicated, isolated environment.

Databricks has acquired Panther to accelerate the security lakehouse vision. Panther's AI SOC workflows, 100+ integrations, and detection-as-code capabilities are being integrated into Databricks Lakewatch. Panther requires human approval for every write, and every AI action is logged and reviewable.[1][6][9]

Panther on the record

Sources

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

Realm Security full record

  1. [1]realm.securityRealm Security · realm.security · undated page, accessed November 5, 2026 · Tier A
  2. [2]Realm Expands Channel Program with Crush Security and ProCernRealm Security · published October 29, 2026 · Tier A
  3. [3]Realm Security | The SOC-Aware Security Data PipelineRealm Security · undated page, accessed November 10, 2026 · Tier A
  4. [4]Realm.Security Doubles Customers in Q1 2026 | Realm.SecurityRealm Security · published June 3, 2026 · Tier A
  5. [5]Integrations: Any Source to Any SIEM or Lake | RealmRealm Security · undated page, accessed November 10, 2026 · Tier A
  6. [6]Realm.Security Raises $15 Million in Series A Funding - Realm.SecurityRealm Security · published October 8, 2025 · Tier A
  7. [7]Realm.Security Emerges from Stealth, Raises $5M to Manage Explosion of Cyber Security DataRealm Security · published September 12, 2024 · Tier A
  8. [8]Realm Platform: The SOC-Aware Security Data PipelineRealm Security · undated page, accessed November 10, 2026 · Tier A
  9. [9]Realm.Security Caps 2025 with $2M Strategic Investment from Presidio Ventures - Realm.SecurityRealm Security · published December 11, 2025 · Tier A
  10. [10]About Realm Security | Built by Security Data ExpertsRealm Security · undated page, accessed November 10, 2026 · Tier A
  11. [11]Realm Security Expands Channel Program with Crush Security and ProCern as Demand for Independent Data Pipelines Accelerates in AI EraPRNewswire · published October 29, 2026 · Tier A

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