Stratasan’s Security and Compliance Solution Healthcare IT Customer’s Cybersecurity Problem Stratasan delivers web-based software and professional services that enable healthcare organizations to access information on healthcare markets and thereby establish a foundation for strategic planning, marketing, physician relations, and growth. When Stratasan adopted Threat Stack’s Cloud Security Platform (F5 Distributed Cloud App Infrastructure Protection (AIP ..read more

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Genesys gets actionable cloud security monitoring in context Genesys needed actionable cloud security monitoring, security visibility, and a way to secure their new cloud environment that had just transitioned to AWS and was leveraging services such as EC2, S3, CloudTrail, and more. Genesys’s objective was to reduce their Mean Time To Know (MTTK). The company ..read more

Chris Ford, RVP of Product and Engineering at Threat Stack / Application Infrastructure Protection, (part of F5,) has had many customers who are frustrated with other vendors who take a “black box”, “It’s magic” approach to finding vulnerabilities and reporting threats through alerts. That is, they can’t (or won’t) explain the logic, context, or reasons ..read more

Cybersecurity is known for adding resource burdens to DevSecOps teams. But those burdens can be significantly reduced by the right cloud security solutions. Threat Stack’s RVP of Product and Engineering Chris Ford discusses how ThreatML, now with supervised learning, is reducing both false positives and false negatives in detection. He discusses how machine learning in ..read more

Do you have those moments when suddenly the light goes on in your head, and you “get it”? Most of us do. Usually, it’s because I’m overthinking something, OR I’m not following a logic thread through to its conclusion. Often, it happens when I’m discussing a topic I’m somewhat familiar with, with someone who is ..read more

Because Anomaly Detection Is No Longer Enough for Cloud-Native Security Until now, organizations securing cloud-native infrastructure had to rely on anomaly detection. Even the promise of this type of machine learning was constrained by technical difficulties and lack of data. No longer. Threat Stack’s latest version of ThreatML is now powered by supervised machine learning ..read more

Threat Stack’s RVP of Engineering Chris Ford was a recent guest on a DataBreachToday.com webinar. This video and transcript focuses on the innovative ways ThreatML with supervised learning helps organizations keep their cloud-native information secure while maintaining SOC 2, HIPAA, ISO 27001, and PSI DSS compliance. Machine Learning Done Right – Compliance Section – Video ..read more

In early 2020, organizations were already moving quickly towards the cloud before the COVID-19 pandemic put their journey into fifth gear. How fast is cloud migration happening? According to Synergy Research Group, global spending on cloud infrastructure services grew 33% in Q2 2020 over the same period in 2019 to $30 billion.  Similarly, a recent ..read more

Supervised Learning is a machine learning approach used for classification and prediction across data sets – and can be a huge boost in the world of cloud security. As security teams continue to deal with a cloud-based approach to business and remote-working challenges, an increasing recognition is surfacing: Unsupervised machine learning for anomaly detection may ..read more