Jpmorgan Chase Bank, N.a.

Robert Falconer Keith

Ashish Tiwari

Arthur G Lynch

Zsolt Kalmar

Sean Moran

Fanny Silavong

Rob Otter

Antonios Georgiadis

Duncan Adams

Bill Moriarty

Alex Hayzelden

Stephen Flaherty

Tanmay Madan

Joachim Fainberg

Rohan Saphal

Andrew J Muller

Vaidyalingam Ramalingam

Georgios Papadopoulos

Trevor Collins

Solomon Olaniyi Adebayo

Stephen Hall

Ahmad Emami

Systems and methods for tracking data lineage and record lifecycle using a distributed ledger are disclosed. In one embodiment, a method for tracking record lifecycle events may include: (1) creating, by a record lifecycle tool, a recordable artifact for a record lifecycle event in a record lifecycle, the recordable artifact comprising data for the record lifecycle event; (2) generating, by the record lifecycle tool, a hash of the data; (3) creating, by the record lifecycle tool, record lifecycle event metadata for the recordable artifact; (4) signing, by the record lifecycle tool, the record lifecycle event metadata; (5) writing the record lifecycle event metadata to supply chain metadata storage at a storage location, wherein the supply chain metadata storage may be cryptographically verifiable and immutable; and (6) writing the hash and an identifier for the storage location in the supply chain metadata store to a present state database.

Systems and methods for tracking data lineage and record lifecycle using distributed ledgers

A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; associating a predetermined label with the training feature, the predetermined label corresponding to a secret label and a non-secret label; training a model by using the training feature and the corresponding predetermined label; receiving, via a graphical user interface, a test file, the test file including a set of source codes; parsing the set of source codes to identify a feature; and determining, by using the model, a first characteristic of the feature.

Detecting secrets in source code

Systems and methods for distributed ledger-based software supply chain management are disclosed. According to one embodiment, in an information processing apparatus comprising at least one computer processor, a method for distributed ledger-based software supply chain management may include: (1) receiving, from a software tool, a metadata artifact for a software development lifecycle event; (2) writing the metadata artifact to a metadata store; and (3) updating a present state database with values for metadata keys referencing the metadata artifact in the metadata store.

System and method for distributed ledger-based software supply chain management

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Cardross, United Kingdom

Robert Falconer Keith