Abstract: The invention relates to computer-implemented systems and methods for data risk management that provides traceability across governing artifacts which is key to driving effective data risk management and achieving compliance to policy, standards and controls. An embodiment of the present invention is directed to a standardized data risk taxonomy, harmonized classification schema, policy and standard hierarchy, control catalog and standard of care. These components facilitate an alignment to a full information lifecycle with a common definition of data risk, traceability across governing artifacts (e.g., obligations, policies, standards, risks, controls, etc.) and standardized catalogs with defined treatment across harmonized classification of assets.

Abstract: A financial report analysis system having an intelligent automation unit for selecting from stored financial data the financial data to be processed and automatically scheduling for processing the selected financial data, a conversion unit for converting the selected financial data stored in a storage unit into a selected processing format to form converted financial data, a financial data processing unit for automatically processing the converted financial data to form processed financial data and for generating marked financial data from the processed financial data that includes one or more markings, and a verification unit for verifying an accuracy of the processed financial data by comparing the processed financial data to other financial data, and then highlighting or marking portions of the processed data if the data is inaccurate.

Abstract: A model verification system and associated method for employing a multi-party verification technique to verify machine learning models and generative AI systems. The models and associated systems can be deployed in an enterprise and require verification to ensure that cohorts are properly verifying the models and systems and evaluation to ensure that the models and systems operate responsibly and achieve intended outcomes. A dynamic, multi-stakeholder blinded verification process can be employed for the continuous verification and evaluation of machine learning models and the systems that use them. This helps promote unbiased, reproducible verification, evaluation and assessments by preventing potential biases from cohorts form part of the verification process.

Abstract: An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

Abstract: The invention relates to computer-implemented systems and methods for analyzing and standardizing various types of input data such as structured data, semi-structured data, unstructured data, and images and voice. An embodiment of the present invention relates to a guided collaboration space for domain experts, data scientists and solution managers to build Artificial Intelligence (AI)/Machine Learning (ML) solutions, deploy solutions at scale as well as manage quality and consistency.

Abstract: The invention relates to computer-implemented systems and methods that perform forensic investigations including detecting system executable abnormalities. An embodiment of the present invention may be applied to various operating systems, such as Windows, Mac, Linux, etc. Operating systems may represent a collection of programs that coordinate the operation of computer hardware and software and provide common services for computer programs. An embodiment of the present invention recognizes that certain files such as OS catalogs identify known good files and may be filtered out. The OS catalog identifies what executables are expected and further supports what type of files should not be part of the install. An embodiment of the present invention also identifies unique executable properties that relate to a specific operating system. These properties may identify operating system specific characteristics that may be used to filter known good executables.

Abstract: A network security monitoring system having a plurality of data sources for providing security data, an extraction unit for extracting the security data from the sources of the security data to form extracted security data, a graphing unit for mapping the extracted security data to at least one or more data fields and data models to form graph data, and a data lineage determination unit for determining a data lineage between the log data and one or more of the alerts based on the graph data.

Abstract: An embodiment of the present invention is directed to a multimodal assistant for mechanics and technicians in military warehouses using large language models. An exemplary system provides a conversational assistant to mechanics and technicians working in challenging environments, such as shop or warehouse floors with heavy industrial equipment and componentry. The innovative system may utilize multimodal large language models as well as image segmentation techniques to efficiently retrieve relevant information from asset reference materials, documentation and other sources of instructional information. The system may also use multimodal large language models to extract information from the retrieved documents and/or other data sources to provide guidance on performing discrete tasks related to the asset, such as routine maintenance, part replacement, services and/or other related actions.

Abstract: The invention relates to computer-implemented systems and methods that implements a data asset marketplace and management platform. An embodiment of the present invention is directed to a cloud-based data and analytics (D&A) platform enabling professionals and various users with accelerated access to critical data, D&A tools and workspaces to create and deliver reusable data-driven solutions.

Abstract: The invention relates to systems and methods for providing modular and configurable smart contracts for blockchain applications. The smart contracts may be utilized to retain all transaction attribute values in a world state database of the blockchain-implemented ledger. The systems and methods can further provide for dynamically configurable metadata and rules for transaction attributes recorded on a blockchain transaction log. The metadata and rules corresponding to the transaction attributes may be dynamically updated and applied to the transaction attributes.

Abstract: An embodiment of the present invention is directed to predicting investigation queries based on prior investigations. An embodiment of the present invention leverages the knowledge of the existing experienced analysts to assist and guide newer or less experienced analysts through incident investigations. By analyzing queries that have been run previously, and utilizing machine learning, an embodiment of the present invention may mimic the knowledge of experienced and/or existing analysts by automatically running those queries against similar incidents.

Abstract: The invention relates to computer-implemented systems and methods for identifying and further preventing commercial or contract leakage across multiple different procurement relationships. This may involve ingesting a contract extracting commercial terms, such as price, rates, etc. Invoices may be similarly ingested and commercial terms may be extracted on a line item basis. An embodiment of the present invention may identify various types of commercial leakage, such as rate/price discrepancies, full/partial duplication, unrealized discounts, unrealized rebates, disallowance of charges (travel expenses), etc.

Abstract: The invention relates to computer-implemented systems and methods for analyzing medical images and records in various formats and structures from disparate sources and providers to provide answers to specific medical-related questions. An embodiment of the present invention is directed to accessing a health care form, identifying related text, leveraging computer vision technology to group nearby text, and applying deep learning models to identify fields from the text. This information may then be used to create a structured standardized output.

Abstract: Systems and methods for performing machine-driven analysis and determination of integrity due diligence risk associated with third-party entities and individuals associated with third-party entities are disclosed.

Abstract: An embodiment of the present invention is directed to a fully self-sufficient and configurable smart contract for private blockchains that eliminates code and updates. An embodiment of the present invention does not rely on multiple smart contracts to handle incoming transactions and data. A configurable smart contract framework of an embodiment of the present invention enables end users to configure and manage various business rules to be applied to transaction data without the need to write smart contract code. These business rules may be stored in the ledger in the form of transaction configuration rules and query presets for full auditability and traceability.

Abstract: An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

Abstract: A data processing and analytics system for processing financial related data includes a financial data processing unit that is secured by a security layer. The financial data processing unit and the security layer are embedded in a company native environment. The company has a plurality of data sources for providing raw financial data that is filtered by the security layer prior to transfer to the financial data processing unit. The financial data processing unit includes a raw data storage unit for storing the raw financial data, and a data processing unit for processing the raw financial data via one or more preloaded audit applications. The processed financial data is then employed to generate one or more financial reports that are then transferred to the financial expert externally of the company.