Using File Analysis to Identify and Respond To Unknown Malware

Upwards of 20% of files not detected by AV engines turn out to be malicious. Because sandbox analysis is slow and expensive, organizations are forced to accept the risk of infection by an unknown form of malware or block volumes of files. This results in unacceptably high risks or reduced quality, not to mention the financial and reputational impact of an inevitable malware infection - especially for service providers and hosting companies. Organizations can overcome this impasse between risk tolerance and quality of service by using recently developed high speed, high throughput malware analysis techniques. Attend this webinar to learn about new methods for file analysis that allow service providers, technology companies, and large enterprises to inspect files at speed, at scale, and without breaking the bank (i.e, NOT a sandbox). Cyren malware researchers will explain: - Static, dynamic, and hybrid malware analysis techniques - Advantages and limitations of current malware analysis tools like sandboxes - Using hybrid analysis to extract Indicators of Compromise - Applying malware IOCs to real-time security policies and incident response