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Current Status of Enterprise Log Analysis

Rule Maintenance Difficulty

  • The logic of alert rules is unclear, frequent updates make them prone to failure.

Alerts Lack Context

  • Single-point alerts cannot support event-level understanding and handling.

Delayed Risk Detection

  • Traditional manual analysis is inefficient, and risk signals are easily overlooked.

Cluttered Log Sources

  • Logs from different devices and systems have inconsistent formats, making analysis difficult.

EAP Core functions

Real-Time Analysis and Alert Management

Real-Time Alerts

Real-Time Analysis and Alert Management

  • Rule Engine Analysis
  • Support complex condition matching such as time windows and cross-source aggregation.
  • Dynamic Behavior Modeling
  • Support user behavior and system interaction modeling to identify abnormal patterns.
  • Alert Push and Linkage
  • Automatic early warning for high-risk events, supporting linkage with disposal platforms.

Unified Log Ingestion and Parsing

Unified Parsing

Unified Log Ingestion and Parsing

  • Multi-Source Log Support
  • Support log ingestion from multiple types of security devices such as firewalls, hosts, WAFs, and IPS.
  • Format Standardization Processing
  • Convert multiple log formats into a unified structure to facilitate subsequent analysis.
  • Intelligent Field Extraction
  • Automatically identify key fields such as IP, account, and URL to improve semantic accuracy.

EAP Product advantages

product advantage

Flexible Rules

  • Provide a visual strategy orchestrator that supports custom detection rules and response playbooks. It seamlessly adapts to complex scenarios such as cloud environments and industrial control systems, integrates with SOAR (Security Orchestration, Automation, and Response) for automated handling, and continuously optimizes security operations efficiency.
product advantage

Rapid Response

  • Parse trillion-level logs in seconds to detect risky behaviors such as abnormal access and privilege abuse in real time. Construct a complete event chain based on cross-system log correlation analysis, trigger precise alarms within 5 seconds, and significantly compress the threat response time window.
product advantage

Aggregated Intelligence

  • It incorporates a dynamic baseline modeling and machine learning engine to automatically identify operational patterns deviating from normal behaviors. Through intelligent noise reduction and attack chain aggregation, the false positive rate is reduced by 70%, focusing on high-credibility security incidents.

Produce Value

Make logs truly "speak", shift from static storage to real-time monitoring, and help enterprises establish a data-driven core security operation system.