Partners

Security Vendors

The business of IT security has never been more challenging. Attackers are well organized and innovating faster than the security industry can evolve. The stakes are high - one rogue file entering the network can bring business to a standstill, damage reputations and impact customer loyalty. To stay competitive, IT security companies are searching for innovative alternatives to feed threat research and development, provide more effective detection and response services, and enable AI and data science based approaches.

 

Click on the link below to learn more about how ReversingLabs can help your security product development.

 
 
 
Threat Research and Intelligence

Threat Research and Intelligence

ReversingLabs provides tools and data utilized by leading security threat research and intelligence vendors. These teams leverage ReversingLabs global file intelligence and static analysis tools for threat detection, hunting and malware analysis for efficient and effective operations.

MSSP and MDR Service Providers

MSSP and MDR Service Providers

A challenge facing most security service providers is to empower analysts with the right information to quickly triage the staggering volume of alerts typically generated by security tools. Stakes are high, since an inaccurate analysis can be catastrophic to an effective response. ReversingLabs can help solve these challenges by enriching alerts with the industry’s most accurate and comprehensive file reputation service and powerful analyst tools when deeper analysis is needed.

AI/Data Science

AI/Data Science

The key to building effective data science models for threat detection requires large data sets which are accurately tagged for data scientists. ReversingLabs has one of the industry’s largest repositories of files, with a vast majority processed, indexed and searchable to help data scientists compile data sets for machine learning. Files available for download can be easily identified and obtained for model development. ReversingLabs static analysis also provides valuable meta data which can be used to enhance model development.