Description
Elastic Security is an advanced agentic security operations platform that combines SIEM, XDR, and automation to provide comprehensive threat detection and response capabilities. Designed to eliminate unnecessary costs and barriers, it allows security teams to operate at machine speed without compromising on control or visibility. Elastic Security is built on a model-agnostic architecture, enabling users to choose from Elastic Managed LLMs, OpenAI, Anthropic, Gemini, or on-premises open source models. This flexibility ensures that AI decisions are transparent and verifiable, avoiding the pitfalls of vendor-mandated black-box models.
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The platform is priced based on compute and storage rather than per-device fees, ensuring full endpoint coverage without budget constraints. Native automation is integrated, eliminating the need for separate SOAR solutions and reducing maintenance overhead. Elastic Security also allows querying of archived data without rehydration penalties, providing immediate access to historical context during incidents.
Elastic Security's architecture places humans at the top of the decision loop, where the platform handles data ingestion and response planning, while analysts focus on judgment and approval. This approach balances speed with human oversight, crucial in today's AI-powered threat landscape. The platform supports over 1,300 open detection rules and adheres to community standards like ECS and OCSF, ensuring transparency and adaptability.
Elastic Security is trusted by organizations like Proficio, UOL, and Texas A&M for its ability to streamline operations, reduce response times, and enhance SOC efficiency. It has been recognized as a Leader in The Forrester Wave and a Visionary in the Gartner Magic Quadrant for SIEM, underscoring its effectiveness and innovation in security analytics.
- CategoryAI Cybersecurity Tools
- Pricing ModelCompute and storage-based
- DeploymentCloud
- PlatformsWeb
Elastic Security Platform's Core Features
SIEM and XDR integration
Model-agnostic AI architecture
Compute and storage-based pricing
Native automation
Open detection rules
Full visibility into AI decisions
Immediate data querying
Human-in-the-loop decision making
Community standards support
Proven customer success
How to use Elastic Security Platform?
Configure: Set up SIEM and XDR integration
Use: Implement native automation for threat response
Optimise: Leverage model-agnostic AI for decision transparency
Monitor: Query archived data for historical context
Elastic Security Platform's Use Cases
- Threat Detection
- Data Analysis
- Automation
- Endpoint Security
- Incident Response
