MaxPatrol SIEM vs Panther

MaxPatrol SIEM provides visibility into IT infrastructure and helps security teams detect incidents. It collects data actively and passively from more than 300 types of systems, and alerts operators to unavailable sources, unusual event distributions, or delays in event data. Teams can use 20 default dashboard widgets or create their own, and a visual rule constructor supports incident detection rules without requiring code or a rule language. The product maps network topology and updates the map as infrastructure changes. Its Behavioral Anomaly Detection module uses 49 machine-learning models to detect targeted attacks and previously unknown anomalies. Expertise packs bring detection rules, collection and incident-handling parameters, response recommendations, and reputation lists. The product supports custom detection rules, real-time alerting, authenticated scans, and the PDQL query language. Deployment options include self-hosted environments, with Linux distributions and some specified Windows Server versions supported for components. Displaying asset vulnerability information requires a separate MaxPatrol Vulnerability Management license. The vendor offers a pilot; pricing is available on request. Warranty support for valid licenses is available during the update access period.

Panther is an AI SOC platform for security teams that ingests and normalizes security logs, detects threats, and supports alert investigation and response. Panther AI can query a data lake, review detection logic and alert history, gather context from connected tools, resolve noisy alerts, and escalate high-confidence threats. Its AI Detection Builder turns plain-language threat descriptions into Python detections. Teams can write, test, and version custom rules through CI/CD and GitHub code review, using PantherFlow and SQL. Snowflake or Databricks can serve as the security data lake while data remains in the customer’s warehouse. Integrations include AWS CloudTrail, Okta, GitHub, Slack, CrowdStrike, Databricks, and PagerDuty; MCP connections include Slack, PagerDuty, Notion, GitHub, and Atlassian. Deployment is available as managed SaaS or Cloud Connected. Panther provides a REST API and states that data is isolated in dedicated instances with 99.9% SLA-backed uptime.