How to Cut Time-to-Security-Incident-Detection on AWS

Time-to-detection is everything these days. If you don’t find a breach yourself, chances are someone else will. A recent study points out that up to 27% of breaches are discovered by third parties. This includes vendors or partners you work with, auditors, and probably most damaging of all — your customers.

The problem most companies are grappling with today is how to cut time-to-detection to ensure that they are the first ones to know about an issue, and in a way that won’t put a resource drain on the team. Last Thursday, Chris Gervais, Threat Stack’s VP of engineering, sat down with George Vauter, a senior software security engineer for Genesys, Jarrod Sexton, the lead information security manager for Genesys, and Scott Ward, the solutions architect at Amazon Web Services (AWS), to have a frank discussion about this in a webinar format.

Genesys is a leader in omnichannel customer experience and customer engagement software, with both on-premise and cloud-based offerings. PureCloud, their cloud-native microservice platform, is run on AWS, so the team has extensive experience launching and scaling in the cloud, as well as building a “secure-by-design” platform.

In our conversation, Genesys outlined several important steps that all companies should be implementing to reduce their time-to-detection, which we wanted to further highlight in today’s post. Read more “How to Cut Time-to-Security-Incident-Detection on AWS”