Description
SentinelOne AI-SIEM is a modern security information and event management platform designed to unify data, investigation, and response. Unlike traditional SIEMs that focus AI at the alerting layer, AI-SIEM integrates AI into the data pipeline itself, ensuring cleaner and higher-fidelity signals for downstream systems. This approach guarantees data quality, faster response times, and predictable total cost of ownership.
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The platform is cloud-native, capable of ingesting and analyzing large volumes of security data without compromising visibility or performance. It uses scalable data foundations with hot storage to preserve high-fidelity signals, enabling real-time analysis and investigation. This ensures that security teams can access all relevant data without sacrificing speed or scale.
AI-SIEM automates correlation, enrichment, and contextual analysis, connecting related activities into clear incidents and reducing false positives. This automation shortens investigation times and improves decision confidence, allowing analysts to focus on response and risk reduction rather than manual tasks.
The platform includes native response and automation capabilities, reducing the need for separate SOAR platforms and simplifying security operations. It supports autonomous security operations by unifying data, intelligence, and action, reducing manual effort while preserving human oversight.
SentinelOne AI-SIEM is trusted by security teams for its ability to provide a unified view of security data, meeting multiple security goals with a single solution. It offers proven outcomes such as faster alert investigations, more efficient security operations, and significant return on investment.
- CategoryAI Cybersecurity Tools
- Pricing ModelContact sales
- DeploymentCloud
- PlatformsWeb
SentinelOne AI-SIEM's Core Features
Unified data, investigation, and response
AI-driven data pipelines
Cloud-native architecture
Real-time analysis and investigation
Automated correlation and enrichment
Native response and automation
Supports autonomous security operations
Proven ROI and efficiency improvements
How to use SentinelOne AI-SIEM?
Configure: Set up data pipelines
Use: Analyze and investigate security data
Optimize: Automate response workflows
Monitor: Continuously improve security operations
SentinelOne AI-SIEM's Use Cases
- Threat detection
- Data analysis
- Incident response
- Security operations
- Risk reduction
