Elastic Security vs Panther

Elastic Security combines SIEM, XDR, endpoint security, and cloud security for detecting, preventing, and responding to cyber threats. Detection options include prebuilt and customizable rules, machine-learning anomaly detection, and threat hunting. Elastic Defend uses machine learning, behavioral analysis, and prebuilt rules to address endpoint threats; cloud capabilities cover cloud and Kubernetes security posture management, workload protection, and vulnerability management. Elastic Workflows can automate triage, enrichment, response, notifications, and case management. Elastic lists more than 400 prebuilt integrations and up to 1,000 total security and data-source integrations, alongside native OpenTelemetry support. The software can run on Elastic Cloud or self-managed infrastructure, with APIs and query options KQL, Lucene, and ES|QL. The free Basic plan includes SIEM, XDR, and host security analysis. Elastic Cloud Hosted and Serverless offer a 14-day free trial. Security Analytics Essentials is listed at $0.09 a month, with retention priced separately; Essentials also includes endpoint protection, while retention is priced separately at as low as $0.017 per retained GB per month. Elastic Cloud uses HTTPS for internet-facing and inter-node communications and encrypts cluster data at rest.

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.