Overview
Solution to monitor, detect and alert cyber attacks using AI and Machine Learning.
Data and files from computer systems and remote services that are being investigated or monitored, can be stored, organized, and collaboratively reviewed by authorized investigators.
Key Features
Centralize the entire organization’s network security events into one intelligent analytics platform
Proactive, intelligent detection with AI and Machine Learning
Combining traffic analysis, UEBA with Threat Intelligence
Fast, accurate detection and reduce noise events – Incident Management
Flexible incident management with Skynet DFIR and UseCase Management
Intuitive, diverse and customizable monitoring interface
Optimize archiving and searching data for numerical investigation
Deploying architecture flexible, easy to expand without horizontal restrictions (horizontal scaling)
How it works
Patented parsing and indexing technology
Using unique, patented technology, IRIS Skynet Logs dynamically parses and enriches log data at capture time, creating metadata that dramatically accelerates alerting and analysis.
Comprehensive log monitoring and management
IRIS Skynet Logs ingests logs from more than 350 event sources. It provides log monitoring for public clouds such as AWS and Azure, as well as SaaS applications including Office 365 and Salesforce.com. Plus, it interprets relevant security information from a wide range of protocols including Syslog, ODBC, SFTP, SCP, FTPS and more.
Simplified compliance support
To simplify compliance demonstration, IRIS Skynet Logs includes use cases and prebuilt templates for compliance with a range of regulations, including Sarbanes-Oxley, PCI DSS, HIPAA, NERC and many others.
Flexible reporting
IRIS Skynet Logs provides the flexibility to customize views and formatting for reports. Predefined reports comprise one or more rules that you can also leverage within other custom-built reports.
