ELK

Detect hidden threats before they generate critical alerts. The built-in Threat Hunting capability automatically performs hypothesis-driven searches using threat intelligence data, executes ES|QL queries against live data, and automatically maps results to the MITRE ATT&CK framework. For on-demand hunting, simply describe the threat in natural language — the built-in AI assistant provides a validated search query developed by Elastic Security Labs researchers.

Infrastructure protection begins as soon as logs arrive. When a data source is connected, Elastic automatically identifies its type, maps the data schema, and recommends detection rules developed by Elastic Security Labs and validated by the security community through a public repository. Detection rules are mapped to MITRE ATT&CK from the start. No complex pipeline engineering is required, while universal data schemas such as ECS and OCSF ensure that the same detection rule can work across both models. Data ingestion through OpenTelemetry is supported natively.

SOC analysts receive more than isolated alerts — they receive the results of a comprehensive investigation. Attack Discovery correlates individual alerts into structured and prioritized attack chains. Alert Analysis classifies incidents, enriches them with entity context such as users and hosts, and adds threat intelligence data to build a complete attack timeline before the analyst is notified. Every decision made by AI is transparent and available for audit.

Make fast, informed decisions with automatic context enrichment. Conduct comprehensive investigations using customized playbooks and AI-powered reasoning. Elastic Workflows runs natively within your security data: once an analyst approves an action, the platform can immediately disable accounts, isolate compromised hosts, and block malicious IP addresses across affected systems within a single session. No more switching between consoles or relying on third-party SOAR solutions.

Identify anomalies and hidden threats before analysts begin targeted hunting. Entity Analytics continuously monitors changes to system and user attributes, such as the reactivation of a dormant account outside business hours, and automatically flags them. Risk scores are dynamically updated as the security context changes, providing transparent interpretation of anomalies. Watchlists bring your organization’s expert knowledge directly into the risk scoring model without additional infrastructure costs.

Senior-level analyst expertise is now available at every stage of SOC operations. Purpose-built skills for threat hunting, alert analysis, detection rule development, and behavioral analytics are integrated directly into the Elastic AI Agent. Skills can automatically invoke one another during workflows, running through configured Workflows or on demand in Agent Builder. Every step of the AI reasoning process is fully transparent. They can be accessed directly within Elastic Security or from any AI tool that supports the Model Context Protocol (MCP).

Run searches, event correlation, and threat hunting across cloud, on-premises, and isolated air-gapped environments without physically moving raw logs. The cross-cluster ES|QL query language efficiently covers distributed deployments. Frozen data and long-term archives remain searchable within the same query. No unnecessary traffic backhaul and zero blind spots across your infrastructure.