Trend Micro Deep Discovery Analyzer – a platform used to detect, analyze, and respond to cyber threats, including targeted attacks, exploits, malware, and 0-day threat detection.
Deep Discovery Analyzer allows you to simulate real OS environments for detailed analysis of suspicious (unclassified) objects obtained from workstations and servers and behavioral scenarios. An open API allows any product or process to send samples and receive analysis results.
Functional features
Running suspicious files and links in virtualized environments to detect malicious activity
Support for various object types such as: documents, archives, URLs, executables, etc.
Support for the following OS: Windows, Linux (Cent OS, Ubuntu, Red Hat)
Support for multiple virtual environments with different configurations
Ability to configure rules for malware detection
Possibility of personalized customization of the solution to business needs
Benefits of the solution:
- The ability to operate the solution within the unified Trend Micro ecosystem, as a standalone device, or through the use of API connectors
- Possibility of customized configuration of virtual machines with deployment of the software used
- Ability to analyze up to 8,000 object samples per day
- Ability to simultaneously scan suspicious files on 60+ virtual environments
- Support for cluster deployment to increase solution resiliency
- Ability to automatically analyze URLs sent to the system
- Support for integration with SIEM systems such as QRadar, Splunk, HP Arcsight
Tasks that Deep Discovery Analyzer helps solve:
- Analyze files and the actions they perform to identify new unclassified cyber threats
- Detect attacks at the application, network service, and user environment levels
- Configure virtualized environments to meet business requirements
- Detect attacks such as 0-day, targeted ransomware, etc.
- Distribute hashes of suspicious files to company security systems for further blocking
Trend Micro Deep Discovery Analyzer is a tool for in-depth analysis of suspicious files, URLs, and other objects in virtualized environments, helping to identify new cyberthreats, including targeted attacks, 0-day threats, and exploits.
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