Intelligent Digital Container

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Intelligent Digital Container (IDC) Solution

PureCipher’s Intelligent Digital Container (IDC) is a pioneering patent-pending solution that leverages our unique Artificial Immune System technology. This advanced approach integrates the security of steganographic watermarking, the resilience of post-quantum safe encryption, and sophisticated cryptography with an intelligent system for threat detection and response. The IDC is engineered to ensure the integrity of the data or applications it encapsulates and maintain the security of the container over time. Inherently designed to be tamper-evident, any unauthorized access or modification attempts are immediately detected and recorded. Additionally, the IDC features stringent access control mechanisms, allowing clients to set and enforce specific permissions for various users and systems, ensuring robust security and control.
USE CASES

Secure AI Model Operations

Generative AI is revolutionizing modern business operations, yet it introduces substantial security risks. Healthcare providers, in particular, struggle to harness AI for valuable insights while safeguarding proprietary data from cloud exposure and third-party AI models. PureCipher’s IDC solution offers a self-contained computing environment where clients can store watermarked data verified as authentic, essential for AI model training. Once the training data is prepared, clients can download IDC containerized Large Language Models (LLMs) and other AI models for secure training. The IDC’s watermarking and access control mechanisms protect the training data and resulting models from unauthorized access or tampering, ensuring data integrity and confidentiality. Additionally, IDC safeguards against unauthorized access, tampering, or theft during model execution, maintaining the confidentiality of the model’s inputs, outputs, and internal processes. By providing its own AI computing environment, IDC effectively addresses and alleviates security and data privacy concerns.

Secure and Compliant Database Transactions

Traditional relational databases face significant security threats, including weak authentication mechanisms, susceptibility to SQL injection attacks, and challenges in verifying the authenticity of data transactions. Addressing these vulnerabilities, the PureCipher IDC offers containerized security adaptable to any existing database system. The IDC for secure and compliant database transactions is structured around a watermarked database container to detect and deter tampering, a hypervisor container that authenticates each transaction, ensuring only legitimate activities proceed, and a secure native application that maintains operational integrity. This approach not only protects the database contents but also secures the legitimacy of every transaction, providing an extra layer of security. Moreover, IDC facilitates effortless rollback capabilities, significantly reducing downtime and recovery costs using legitimate checkpoints, thereby offering a robust solution to the key security challenges of traditional relational databases while ensuring minimal operational disruption and financial impact.
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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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