Artificial Immune SystemsTM with
Data Integrity OmniSeal for a Digital World

Today’s Artificial Intelligence Systems train and perform inferences on unencrypted data which leads to the first two major risk factors an operator faces when making critical decisions based on the recommendations from an AI system. The operator needs to feel confident with the below two questions:
Has the data used by the AI models being tampered with? If yes, can I still trust that my AI systems have learned the correct learning objectives and that the recommendations rendered are still technically correct
Is the system inherently secure so I can trust the AI system performing the analysis hasn’t been compromised?
To inspire one’s trust in the AI systems deployed, one must first believe the system is secure from potential data tampering and AI attacks, which isn’t the case today. PureCipher™’s solution focuses on safeguarding the trustworthiness of AI by providing technology solutions to warrant: date integrity using our Data Integrity OmniSeal™ (OmniSealTM) technologies – one can track the provenance and lineage of data, and ensure data hasn’t been tampered with before it is consumed by the AI systems; and close-loop secure environments using Artificial Immune Systems™ – the AI will have its own immune system that is secure and will defend itself against on-going attacks. Our capabilities can support AI systems for all use cases; however, we would like to highlight the specific risks involved with image recognition-based AI models such as identity access and management, and facial recognitions to catch potential bad actors. It is well known that image tampering and fake data is proliferating. Not only is the AI that trained on tampered images will have unknown outcomes, AIs that perform inferences based on tampered images that human eyes cannot detect will likely provide completely wrong outcomes. This is a known shortcoming of convolutional neural network-based AI systems; thus, a hacker can embed random information in an image that an operator cannot detect and get the AI system to mis-identify the said image. In this way, a bad actor can gain entry into a secure location, or a terrorist is allowed to entire our country, and the human operator is none the wiser.
In the same way that the human body relies on a complex immune system to protect against external threats, the digital world requires a sophisticated mechanism to guard against cyber threats – especially when these threats target AI systems crucial to critical industries. PureCipher introduces a comparable solution for the digital realm: Artificial Immune Systems (AIS). When a flu virus invades our body, the innate immune response kicks in, attempting to block the onslaught. If the virus persists, the adaptive immune response is triggered, deploying killer T-cells to neutralize infected cells and B-cells to produce antibodies, thereby inhibiting the virus from spreading. This sophisticated defense mechanism, evolved over millions of years to detect and neutralize threats, possesses attributes like adaptability, memory, and self-regulation. The immune system can distinguish between the body’s cells (self) and foreign cells (non-self), remember previous invaders, and mount rapid responses to known threats and unknown threats.
Mirroring this, PureCipher’s AIS is designed to deter cyberattacks, actively combat threats once they’ve penetrated, and continually refine its defenses against potential future incursions. Incorporating our Data Integrity OmniSealTM technologies to facilitate that the AI systems only ingested authenticated data, we can ensure no data poisoning and that outcomes of the AI models to be technically trustworthy. Our vision centers on crafting AI systems that not only assist but also inspire trust through robust security. Analogous to our body’s multi-layered defense, PureCipher’s AIS innovation stems from our R&D at various fields and stages to prevent data breaches and secure the overall system. Integral to this pioneering AIS are technologies under development such as adversarial machine learning, our adoption of fully homomorphic encryption (FHE), and Noise Based Computations (NBC), in addition to our OmniSeal™. With AI poised to be pivotal across all sectors, PureCipher’s AIS promises to be a cornerstone in ensuring a secure and prosperous digital landscape.

PureCipher’s AIS employs the following key principles:

Affinity Maturation: An iterative refinement process where solutions are continually improved upon.
Clonal Selection: Favoring and replicating the best solutions, akin to a “survival of the fittest” mechanism.
Negative Selection: Recognizing and eliminating harmful patterns, ensuring system robustness.
Memory Cells: Storing solutions for rapid recall, allowing systems to “remember” and respond faster to known challenges.
Memory Cells: Storing solutions for rapid recall, allowing systems to “remember” and respond faster to known challenges.
These principles have found applications in areas like anomaly detection, where AIS can flag unfamiliar patterns, and optimization problems, where the system refines solutions much like the immune system refines its antibodies. In addition to the key principles, we use a multi-faceted approach to security, integrating our technologies under R&D into a tiered solution to fortify AI systems against evolving threats1,2 . Key components of PureCipher’s AIS are:
Adversarial Machine Learning: This field addresses machine learning systems under attack. We harness this expertise to design AI models resilient to threats, emphasizing defense against poisoning attacks, model hardening, and more.
Noise Based Computations (NBC): NBC is beneficial for sensitive data that requires real-time outcome. NBC ensures data never leaves premise and the inferences are performed based on random noise images recognized by our own AI model, thus, mitigating data exposure risks during transmission and processing.
https://www.businessinsider.com/ai-biggest-fears-risk-threat-chatgpt-openai-google-2023-6
https://www.forbes.com/sites/stevensalzberg/2023/05/08/should-we-be-worried-about-ai-i-thought-not-until-i-asked-an-ai/?sh=49973b7c3187
Fully Homomorphic Encryption (FHE): The “Holy Grail” of encryption, FHE permits calculations on encrypted data without prior decryption. FHE with its quantum-resilient capability makes it the cornerstone of our AIS.
Data Integrity OmniSealTM (OmniSealTM): While OmniSeal™ is not part of the AIS solution suite, it is an integral component of AIS to ensure the system ingests only authenticated data (no data poisoning). Going beyond traditional digital watermarking, OmniSeal™ embeds machinereadable codes within human-interpretable files (text, image, audio, video). This unified embedding method ensures discreet machine communications alongside transparent user content.
With our innovative approach, PureCipher’s AIS in concert with the OmniSeal™ aim to safeguard data and ensure the operational robustness of AI in an increasingly volatile digital landscape. To us, developing trustworthy and responsible AIs requires building an AI system that is secure against cyberattacks and software errors, ensuring the protection of data and integrity of the system. While this doesn’t directly imply that AI would always provide factual statements, having a secure and reliable AI system is a critical milestone in gaining trust by the public and in the responsible and secure adoption of AI across different industries. To do so, PureCipheris singularly focused on creating new technologies and approaches to ensure a secure method to authenticate data, from tracking provenance, lineage, to detecting tampering; and a system with quantum safe technologies that can detect, defend, and actively neutralize potential threats to itself. Addressing these challenges within the constraints of current state of technologies requires a new holistic design approaches into the overall solution suite to provide the necessary capabilities to ensure trusted AIs. This is where PureCipher excels.
In an era where data privacy and security are at the forefront of global concerns, PureCipher emerges as a beacon of innovation, proactively addressing these challenges. Our research & development in Artificial Immune Systems(AIS) is not just a technological advancement; it’s a paradigm shift ensuring that the next generation of AI is both robust and trustworthy. By implementing the AIS, entities will have a way to protect their own AI systems against sophisticated and evolving cyberattacks, especially from state-sponsored attacks. If we look at specific use cases in counter terrorism, the AIs at the forefront of protecting the country, from helping the TSA agents with biometric identity verification and the CBP for identifying containers that may pose risk for terrorism, drugs, or other contraband, will all need AIS to protect itself from attacks. Furthermore, the OmniSeal™ technology will allow an entity to validate and authenticate data within the domain of its own supply chain. In the critical sectors of healthcare, where the sanctity of data is paramount, we are in advanced discussions with multiple heath informatic companies for the use of our OmniSeal™ APIs and solution to authenticate data before AI training and inferences. These conversations are more than just partnership prospects—they underscore the immediate relevance and crucial necessity of PureCipher’ s solutions in today’s data-driven world.
With the ultra-fast paced evolution of Artificial Intelligence, a proactive approach is not just beneficial—it’s essential. PureCipher’s Artificial Immune Systems (AIS) represents more than technological advancement—it embodies a shared vision of resilience, trustworthiness, and national security in the AI-driven future.
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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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