Elastic Security (AI-powered detection)

AI-powered threat detection and SIEM platform

Elastic Security is an AI-driven security information and event management platform that equips security teams to identify, respond to, and eliminate threats across endpoints and cloud environments. Built on the Elastic Stack, it seamlessly integrates search, observability, and security data in one unified platform.

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Elastic Security (AI-powered detection) At a Glance

Editorial Score

Comprehensive Visibility Across Data Sources

Elastic Security delivers excellent visibility into system and application logs, network traffic, and endpoint telemetry, helping analysts connect the dots across disparate systems.

Powerful Machine Learning Integration

The platform's integration with ML helps surface suspicious or anomalous behavior without relying solely on predefined rules.

Customizable Dashboards and Workflows

8.5

Security teams benefit from intuitive and flexible dashboards that can be tailored to suit internal processes, improving operational efficiency.

Scalable for Growing Environments

9.5

Elastic Security’s architecture scales well with data volumes, making it suitable for teams handling growing IT infrastructure and security challenges.

Unified Platform for Observability and Security

By combining observability with security capabilities, Elastic Security enables teams to correlate performance issues with potential threats in a single interface.

Elastic Security (AI-powered detection) Pros & Cons

Pros

AI-powered threat detection
Open and extensible platform
Advanced search with Kibana integration
Scalable infrastructure
Combines observability and security

Cons

Steep learning curve for new users
Complex setup for smaller teams
Requires tuning for optimal ML performance
Community support can be limited for advanced use cases
Some features locked behind paid tiers

Key Points of Elastic Security (AI-powered detection)

Powerful machine learning algorithms detect anomalies in real-time

Combines endpoint protection, SIEM, and threat hunting

Seamless integration with Elastic Stack and Kibana

Option to deploy on-premises or in cloud environments

Supports ingestion from diverse data sources

Pricing Plans

Serverless Security Analytics

$0.60 Per Month

Retention for Security Analytics

$0.04 Per Month

Endpoint Protection

$1.50 Per Month

Cloud Security

$2.00 Per Month

Overview

Elastic Security transforms data into actionable security intelligence by combining log analytics, endpoint monitoring, and machine learning.

It builds on the Elastic Stack’s capabilities to deliver an open, scalable platform for security operations. Its open model allows for integration with third-party tools and enrichment with external threat intelligence feeds.

Users can create bespoke detection rules and leverage predefined rule sets. Elastic Security supports both small teams and enterprise operations, with flexibility to scale with infrastructure and data demands.

By coalescing observability and security functions in one platform, Elastic Security provides contextual insights and faster incident response.

Frequently Asked Questions

What is Elastic Security used for?

Elastic Security is used for threat detection, SIEM (Security Information and Event Management), and endpoint protection, enabling security teams to monitor and respond to incidents.

Is Elastic Security free to use?

Elastic Security offers a free tier with basic features, and premium features are available through paid subscriptions.

Does Elastic Security use AI?

Yes, Elastic Security uses machine learning to analyze security data and detect patterns indicative of threats, thereby reducing the manual monitoring workload.

Can Elastic Security be deployed in the cloud?

Yes, Elastic Security supports cloud deployment and can be hosted via Elastic Cloud or self-managed in cloud environments.

What types of data sources can Elastic Security ingest?

Elastic Security can ingest data from a wide variety of sources, including server logs, network traffic, cloud platforms, endpoint sensors, and third-party applications.