Bull Protector Hacker AI (BPHAI) Totem Protocol and Promptless Intelligence

We are pleased to present the initial release of documentation for Bull Protector Hacker AI (BPHAI): Totem Protocol and Promptless Intelligence. This publication marks a significant step in our research into emerging vulnerabilities within the field of artificial intelligence, particularly those related to the security of Large Language Models (LLMs) and agent-based systems.The increasing reliance on robust AI systems makes it imperative to address current security challenges. Our work introduces a novel AI security paradigm designed to overcome the limitations of existing defenses against increasingly sophisticated attacks, such as "prompt injection".BPHAI proposes an innovative approach that transforms the very nature of AI interaction, making intelligence intrinsically more resilient and platforms more secure. This document offers an overview of the conceptual foundations and the vision behind BPHAI, highlighting its potential to contribute to a safer and more reliable AI future. This preliminary version is intended to foster discussion within the scientific community and outline the direction of our research. We are excited to anticipate a future, more in-depth version, which will provide comprehensive technical details and experimental results, solidifying BPHAI as a high-impact contribution in the field of AI safety and security architecture.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-07
DOI
https://doi.org/10.5281/zenodo.15614960
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Bull Protector Hacker AI (BPHAI) Totem Protocol and Promptless Intelligence

Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
article

Bull Protector Hacker AI (BPHAI) Totem Protocol and Promptless Intelligence

article en

Abstract

We are pleased to present the initial release of documentation for Bull Protector Hacker AI (BPHAI): Totem Protocol and Promptless Intelligence. This publication marks a significant step in our research into emerging vulnerabilities within the field of artificial intelligence, particularly those related to the security of Large Language Models (LLMs) and agent-based systems.The increasing reliance on robust AI systems makes it imperative to address current security challenges. Our work introduces a novel AI security paradigm designed to overcome the limitations of existing defenses against increasingly sophisticated attacks, such as "prompt injection".BPHAI proposes an innovative approach that transforms the very nature of AI interaction, making intelligence intrinsically more resilient and platforms more secure. This document offers an overview of the conceptual foundations and the vision behind BPHAI, highlighting its potential to contribute to a safer and more reliable AI future. This preliminary version is intended to foster discussion within the scientific community and outline the direction of our research. We are excited to anticipate a future, more in-depth version, which will provide comprehensive technical details and experimental results, solidifying BPHAI as a high-impact contribution in the field of AI safety and security architecture.

Zenodo (CERN European Organization for Nuclear Research)
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Adversarial Robustness in Machine Learning
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