PureCipher for the

Insurance Industry

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Data Integrity
OmniSeal ™

PureCipher’s Data Integrity OmniSeal ™ utilizes advanced proprietary steganography algorithm to embed post-quantum safe encrypted data behind various file types such as images, audios, plaintext files, videos, and executables. The solution allows clients to create and define their own watermarks, using sensitive information as the payload, which is then encrypted and embedded into the host files. This approach ensures that data remains secure and hidden within the files themselves, providing an extra layer of security and tamper-proofing for critical data assets in the insurance industry
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Ensure Data Integrity for Regulatory Compliance

Insurance companies are subject to stringent regulatory requirements, including data protection laws and industry and state specific regulations. The ability to ensure data integrity for all data types, such as financial transactions, customer information, and claims processing/outcomes, is essential to safeguarding the confidentiality, accuracy, and completeness of sensitive data, thereby avoiding costly penalties and legal repercussions. PureCipher’s UMW batch watermarking solution provides a unique capability for users to verify the authenticity of data and to detect potential data tampering and data poisoning, which in turn facilitates compliance with regulatory mandates

Prevent Fraud, Enhance Trust, and Transparency

The insurance industry is particularly vulnerable to fraudulent activities such as false claims, identity theft, and policy manipulations. Maintaining data integrity not only helps detect unauthorized alterations or tampering in insurance documents, claim forms, and customer records, it also plays a crucial role in building and maintaining trust with policyholders. PureCipher’s UMW batch watermarking solution will apply user defined watermarks to all data types, such as policyholder information, transactional records, and claims forms, to detect unauthorized alterations and fraudulent activities, thereby safeguarding the integrity of insurance operations and building trust between the insurer and the policyholders.

Streamline Claims Processing

Timely and accurate claims processing is essential for insurance companies to meet customer expectations and maintain operational efficiency. PureCipher’s UMW batch watermarking solution enables insurance operators to embed unique customer information into their data, to ensure data integrity that can expedite claims processing by reducing the likelihood of errors, discrepancies, or fraudulent claims, leading to faster resolution and improved customer experience.

Mitigate Security and Operational Risks

The insurance industry is a prime target for cyberattacks due to the sensitive nature of the transactions and the personal information involved. PureCipher’s UMW batch watermarking solution provides a layer of security by embedding invisible markers within the digital assets, allowing clients to detect any potential data tampering. The watermarked back-ups also allow clients to recover data very quickly upon a potential disaster such as a cyberattack, earthquake, flooding, or even just a prolonged power outage, without having to spend precious time to figure out the integrity and authenticity of data, which could take days, weeks and sometimes even months.
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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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