Data Integrity OmniSeal™

Guarding against data manipulation. Data Integrity OmniSeal™ enables comprehensive tracking of data provenance and lineage, ensuring your data remains untampered. It safeguards AI systems by preventing the ingestion of compromised data that could alter learning and inference processes.
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FOR TAMPER DETECTION AND SECURE EMBEDDING OF SENSITIVE DATA IN AUDIO, VIDEO, IMAGES AND TEXT

Unified Data Embedding

PureCipher has developed advanced technologies to enable Data Integrity OmniSeal™ to securely embed user-generated information within cover data files such as images, audio, text, and video. This ensures security, confidentiality, and integrity. OmniSeal™ leverages blockchain-based distributed ledger technology to track data lineage and maintain immutable records of data origin, transformations, and access history. This comprehensive provenance tracking enhances accountability, facilitates tamper detection, and enables thorough auditability. PureCipher’s OmniSeal™ establishes a robust system for data governance, ensuring trust, transparency, and regulatory compliance.
FOR TAMPER DETECTION AND SECURE EMBEDDING OF SENSITIVE DATA IN EDI-BASED TRANSACTIONS

Multiplex Text Encoding

A groundbreaking feature of PureCipher’s Data Integrity OmniSeal™ is the steganographic embedding of machine-encoded data within Electronic Data Interchange (EDI). This allows businesses to exchange authenticated documents electronically. Our innovative approach employs a variety of encoding algorithms to embed machine-readable data at different hierarchical levels within the text, ranging from characters and words to entire sentences. Upon receipt, AI systems can decode and interpret this embedded data using complementary decoding algorithms, ensuring secure and verifiable communication.
FOR SECURE AND TRANSPARENT AUDIT TRAILS, PROVENANCE AND LINEAGE TRACKING OF DATA

Blockchain Technology

Blockchain offers a secure, decentralized ledger that maintains an ever-growing, immutable record of all transactions. By harnessing blockchain technology, PureCipher establishes a tamper-proof log of activities within the system, facilitating real-time detection of any anomalies.
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John C. Carroll

With over 30 years of experience and a deep industry background spanning multiple markets, John is a seasoned sales professional. He boasts a successful track record with prestigious organizations such as IBM, Raytheon, Optiv, Automatic Data Processing, Skybox, and Core Security. John's expertise extends to advising several cybersecurity startups and consulting within the intelligence community for companies like M20 and GSS, primarily focusing on the Department of Defense (DoD) and Government sectors. A graduate of the Solution and Strategic Selling programs, John has not only completed these rigorous courses but has also taught them, further cementing his sales expertise. He holds a degree in Business Administration and Environmental Science from Ramapo College of New Jersey, where he is honored as a member of the Football Athletic Hall of Fame.

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Dr. Brandon Langenberg

Brandon received his PhD in mathematics from Florida Atlantic University with a focus on quantum cryptanalysis. His research included an AFRL research grant to study quantum resource estimations on symmetric cryptography and quantum computing. Brandon has worked as a senior researcher and the principal investigator on post-quantum cryptographic algorithms working with engineering team for implementations of quantum-safe cryptographic solutions that will withstand post-quantum cyber-attacks. Brandon is currently leveraging his cryptographic background to build a quantum resistant Fully Homomorphic Encryption solution.

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Graham Morehead

Graham teaches AI/ML at Gonzaga University. For over 25 years, Graham has been developing cutting-edge technologies across a wide array of disciplines, from speech recognition to physics, and national security. His research into Complex Adaptive Systems led to several TEDx talks related to ecological and human modeling. His other work addresses real estate prediction systems and a natural language understanding platform that solves some of the problems with GPT. This work was pursued both for the private sector and government agencies. He holds hardware and software patents related to high-performance computing and natural language.

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Dr. Matt Ikle

Dr. Ikle’s specialties include neuro-symbolic artificial intelligence, probabilistic logic, evolutionary computation, mathematical modeling and simulation, bioinformatics, quantitative finance, and nonlinear and complex dynamical systems. Dr. Ikle also services as the Chief Science Officer at SingularitityNET, a strategic collaborator of PureCipher. Prior to PureCipher, Dr. Iklé was a tenured full Professor of Computer Science and Mathematics at Adams State University, where he obtained numerous government grants to engage students in both his AI and mathematical modeling and simulation research. He has held faculty positions at the University of Texas, the University of Nevada, and Xiamen University in China, as well as an array of leadership, consulting, and research roles within industry. He earned his doctorate in Mathematics, with a minor in Physics, in 1993, from the University of Wisconsin at Madison.

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Dr. William Hahn

Dr. William Edward Hahn was a tenured Assistant Professor of Mathematics at Florida Atlantic University and director of the Center for Future Mind’s AI Research Initiative. He also founded the Machine Perception and Cognitive Robotics (MPCP) Laboratory, where he oversaw research teams working on cryptographic computing and artificial intelligence. Dr. Hahn has been deeply involved in the development of private and secure AI systems involving sophisticated techniques such as Fully Homomorphic Encryption (FHE) and Secure Multiparty Computation (SMPC). Dr. Hahn received his PhD from Florida Atlantic University for his work in Sparse Coding and Compressed Sensing.

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Wendy Chin

Wendy is a senior technology executive with global operations experience heading divisions within Fortune 100 companies (Pfizer, AT&T, Siemens) and start-ups in cybersecurity, artificial intelligence, and health informatics. She is a recognized Thought Leader and Speaker enabling businesses to establish a strong commercial market position through product strategy, roadmap design, distribution channel development, and go-to market execution. She has been deeply involved in innovative product initiatives that include Cyber Security and Data Encryption Solutions, Optical/Robotics Systems, AI/ML & NLP, Health Informatics, and even her own ice cream brand. She holds an MBA from The Wharton School along with Master’s and Bachelor’s degrees in Electrical Engineering from Cornell University.

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