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