When it comes to IT security, the single biggest issue has always been detection. Unfortunately, the scale and complexity of the attacks being launched today makes detecting when an application or system has been compromised more difficult than ever. To help IT organizations address that specific issue, Cyphort has developed the Cyphort Advanced Threat Defense Platform, a threat detection system that leverages machine learning to discover which systems have been compromised.
Cyphort, a San Jose, CA, based security firm, this week said it has emerged from stealth mode with the official launch of its advanced threat detection (ATD) platform, which is able to detect malware variants used in the recent Target attack. Here’s my notes from a conversation with Anthony James, VP of marketing and product at Cyphort: Advanced Threat Detection (ATD) is based on behaviors rather than signatures because those change all the time. We can detect malware without needing a signature. By then its too late. We use different types of sandboxing to isolate the threats because advanced malware knows how to protect itself from generic sandboxing.
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