Amazon Technologies, Inc.

Matthew R Evans

David Walker

Russell Leighton

Michael Jerry Cervantez

Joshua Stephen Du Lac

Victor Chin

Joe W Pate

Scott Ryan Conrad

Mikhail Sosonkin

Hugo Gabignon

Ryan Washington

Nathan Kevin McCarthy

Sheila Mary Soulia

Joel Naomi Cornett

Data security may be automatically evaluated and adjusted using machine learning and/or satisfiability modulo theories (SMT). In various examples, a machine learning model(s) may be trained using training data that includes samples of customer data labeled with different types of data corresponding to different sensitivity levels of the samples of the customer data. Once trained, this trained machine learning model(s) can be used to classify data that is, or is requested to be, stored in a storage container. A SMT solver(s) may then evaluate the sufficiency of the existing data security (e.g., an existing access policy) of the storage container. Based on the result of the SMT solver's data security evaluation, an action(s) may be taken, such as a remedial action (e.g., adjusting data security of the storage container), a notification action (e.g., sending an alert about the data security deficiency), or the like.

Automated data security evaluation and adjustment

Systems, methods, and computer-readable media are disclosed for systems and methods for parallelized forensic analysis using cloud-based servers. Example methods may include generating a first request for one or more notifications in a notification queue, where the one or more notifications include a first notification indicative of a first data input at a datastore, determining a first data type of the first data input, and generating a second notification indicative of the first data type. Some example methods may include determining that a first software component is subscribed to notifications for the first data type, sending the second notification to the first software component, determining a first output of the first software component, where the first output comprises a set of extracted data from the first data input, and sending the set of extracted data to the datastore.

Parallelized forensic analysis using cloud-based servers

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Arlington, VA, United States of America

Matthew R Evans