The Integrated SOC. Evolved.

A traditional SIEM collects and stores logs for correlation, compliance, and historical analysis. It typically requires manual rule creation, significant configuration overhead, and separate tools to execute investigation and response.

An Autonomous SOC goes beyond SIEM by converging detection, investigation, and automated response into one platform. At the foundation is a unified data lake that centralizes security telemetry from native and third-party sources — giving every detection, investigation, and response action access to the same complete picture. Data is enriched before it arrives, AI investigates automatically, and response executes without manual playbooks.

For teams that also need long-term log retention and compliance reporting, SentinelOne AI SIEM delivers full Autonomous SOC capabilities alongside long range data retention — all built on the same data lake foundation.

SentinelOne's Autonomous SOC is built on four components that work together as one system, all built on top of a highly performant data lake.

• AI Data Pipelines filter and enrich security telemetry before it reaches the platform, reducing noise by up to 80% before ingestion. 

• AI SIEM provides AI-driven detection and response from a single console. 

• Purple AI is the agentic AI layer that surfaces context, reasons and investigates.

• Hyperautomation executes governed response workflows across the stack automatically, within pre-approved policies.

Each component is available individually or together as part of a complete Autonomous SOC deployment. They can also be combined with other SentinelOne products like Singularity Endpoint.

No. The goal of an Autonomous SOC is to make analysts more effective, not to replace them.

AI handles the high-volume, repetitive work — filtering noise, correlating signals, triaging alerts, and executing routine response actions. This frees analysts to focus on the investigations and decisions that require human judgment. Purple AI accelerates investigation by surfacing context and recommended next steps, but analysts remain in control of outcomes.

The result is a team that operates at higher scale without higher headcount — not a team that has been automated away.

Operational complexity in security operations typically comes from three sources — too many tools, too much data, and too many manual workflows. SentinelOne addresses all three in one platform.

• AI Data Pipelines reduce ingest volume by up to 80% before data reaches the platform, cutting infrastructure costs without sacrificing signal quality. 

• AI SIEM consolidates detection and response into one console, eliminating the need to manage separate tools. 

• Purple AI triages alerts and correlates evidence in natural language, enabling 63% faster detection and 55% faster remediation.

• Hyperautomation replaces manual response workflows with governed, no-code automation that executes within pre-approved policies.

According to IDC research, organizations using SentinelOne AI SIEM improved platform management efficiency by 70% — freeing security staff to focus on higher-value work instead of system upkeep.

Yes. SentinelOne is designed to deliver value as a complete system while integrating with existing security and IT tools.

Native capabilities cover endpoint, cloud, identity, and AI security. For environments with existing investments, AI Data Pipelines ingest and normalize third-party data, and Hyperautomation connects to external SaaS applications and security tools without custom development. Teams can consolidate over time or operate in a hybrid model.