Securonix Unified Defense SIEM

Includes behavioral baselining and anomaly detection for users and entities in the core platform, eliminating the need for a separate UEBA product and the associated data movement.

Provides built-in orchestration and automated response through playbooks on alerts and cases rather than requiring a separate SOAR product.

Manages and applies threat intelligence natively to enrich and prioritize detections, supporting vendor-curated and third-party feeds with availability varying by platform.

Ships vendor-maintained detection rules and use cases mapped to MITRE ATT&CK with minimal configuration, with breadth, accuracy, and update cadence varying across platforms.

Filters, routes, transforms, and enriches event data in the ingestion pipeline before storage, letting teams drop low-value data and tier the rest to control volume and cost.

Stores essential event data long term and keeps it available for long-term searching with flexible retention options.

Stores security event data long term with searchable recall across tiered hot and cold storage, with support for embedded or bring-your-own data lakes varying by platform.

Investigates, evidences and reports on security alerts with case management to support incident response.

Provides prebuilt reports and dashboards mapped to frameworks such as PCI DSS, HIPAA, and GDPR, with out-of-the-box breadth varying across platforms.

Offers on-premises, cloud-hosted, cloud-native, and SaaS deployment options for data residency, sovereignty, and air-gap requirements, with availability varying by platform.

Normalizes, enriches and risk-scores ingested data from third-party systems such as threat intelligence sources and CMDB.

Interoperates with XDR and extended telemetry and response sources such as EDR and NDR.

Provides a marketplace for subscribing to threat content and third-party integrations.

Compares entity behavior against a dynamically defined peer group (same role, department, or access tier), detecting anomalies that appear normal in absolute terms but deviate from peer norms.

Models attacker-in-residence scenarios (pre-resignation data staging, after-hours privileged access, bulk download exceeding peer norms), with risk scores decaying appropriately for resolved anomalies.

Builds behavioral baselines per user account, device, and application, capturing access timing, resource usage patterns, and activity volumes specific to each entity rather than aggregate thresholds.

Combines multiple weak behavioral signals into a single risk score per user or entity, ranking which accounts warrant investigation so analysts focus on the highest-risk anomalies.

Customizable playbooks that automate and orchestrate repeatable response tasks and multi-step workflows across security and IT tools.

Automatic enrichment and triage of incoming alerts to reduce manual analyst effort and prioritize genuine incidents.

Centralized case management to plan, track, and coordinate the response to security incidents, storing investigation data and evidence in one workspace.

Out-of-the-box connectors and APIs to security and IT systems that let playbooks read context and push enforcement actions.

Aggregation, scoring, and operationalization of threat intelligence feeds to enrich alerts and drive automated response decisions.

Dashboards and reporting on response metrics such as mean time to respond, playbook performance, and analyst workload.