Jason Barto

AWS customers are using resilience modeling to anticipate disruptions and prevent incidents. In creating a resilience model, teams anticipate what can disrupt their system, understand what controls they have in place to detect and prevent that disruption, and then develop an improvement plan to address any gaps.

Customers manage highly sensitive data on behalf of their clients and customers. To apply machine learning techniques to highly sensitive data, they must maintain a high security bar to guard against data exfiltration or abuse of sensitive datasets.