PROJECT: Global AI Security Initiative (GASI)
Artificial intelligence is rapidly entering every area of modern life: finance, healthcare, transportation, industry, education, government, and everyday consumer services. Alongside its enormous potential, AI also introduces new categories of risk. If serious AI safety efforts are not pursued today, humanity may face consequences unlike anything seen before — from large-scale economic disruption and loss of control over critical infrastructure to risks that affect the long-term future of civilization itself. We identify four key categories of AI risk that require immediate attention.
Malicious Use or Compromise of AI
Hacking AI systems, using AI for cyberattacks, creation of fake content, using AI against people.
Loss of Control Over AI
Autonomous actions against human interests, hiding true intentions, uncontrolled self-improvement.
AI Errors, Unsafe Actions, and Hallucinations
False answers delivered with high confidence, failures in process control, errors in healthcare, transport, finance, or justice.
Socioeconomic Destabilization
Rising unemployment, human degradation, weakening of social bonds, pressure on national economies.
Our Response to the Core Risks of AI
After analyzing the major categories of AI risk, we concluded that traditional cybersecurity approaches are no longer sufficient. Artificial intelligence requires new defense systems capable of operating in real time, anticipating threats, and preventing incidents before they occur. We propose three complementary solutions that together form a next-generation AI Security ecosystem.
Global Continuous AI Vulnerability Discovery Platform
Dailogix is a distributed next-generation red team platform for continuous testing of AI systems against attacks, jailbreaks, alignment failures, and emerging threats. Vulnerabilities are discovered and mitigated before malicious actors can exploit them.
A New AI Architecture
Reazonex is an alternative AI architecture in which the reasoning core is based on a graph-structured intelligence model, rather than a traditional transformer. AI becomes not only powerful, but also predictable, accurate, and governable.
AI Oversight and Predictive Risk Control System
Oraculex is an intelligent monitoring platform for supervising AI behavior, detecting early warning signals, and forecasting dangerous scenarios. Dangerous trajectories are detected in advance rather than after damage has been done.
| Risk Category \ Protection | Dailogix | Reazonex | Oraculex | AI Governance & Regulation |
|---|---|---|---|---|
| 1. Malicious Use or Compromise of AI | High | Medium | High | Low |
| 2. Loss of Control Over AI | Medium | High | Maximum | Medium |
| 3. Errors, Hallucinations, Unsafe Actions | Medium | Maximum | High | Medium |
| 4. Socioeconomic Destabilization | Low | Medium | Medium | Maximum |
News
News and updates about our project
April 17, 2026 — New website structure
Our project has grown into a full ecosystem of three products focused on AI safety. To reflect this progress, we have redesigned the website structure. Each product now has its own dedicated page with a separate description, making it easier to explore our vision, technologies, and approach to a safer AI future. If you value this mission, consider supporting our project — it is part of our future.
February 15, 2026 — Phase 1 Completed!
We have successfully completed Phase 1 — Architecture & Specifications. The system architecture and technical documentation are ready for development. We launched a public prototype of our global red-team system and built a prototype graph-based reasoner — a deterministic, controllable alternative to probabilistic AI models.
February 02, 2026 — First prototype of our graph reasoner!
We’ve built the first prototype of our graph reasoner — a deterministic alternative to LLMs. Universal world modeling. Same input → same answer. Millisecond-level speed. We believe this is the future beyond transformers. Reazonex
December 09, 2025 — Reazonex!
We are launching a new initiative focused on building a reasoning graph and reasoner — Reazonex. This module will become an integral part of our AI red-teaming and evaluation platform, Dailogix. Reazonex is designed to enhance analytical depth, interpretability, and the overall quality of logical stress-testing, making it a key component for AI Safety tasks. In the future, Reazonex may evolve into a standalone product, as we believe that reasoning graphs represent the next major step in the evolution of artificial intelligence. Reazonex
December 1, 2025 — A New Name for Our System!
Our first system has been officially named Dailogix. Dailogix
November 27, 2025 — First Version of Our LLM Security Testing System Goes Live!
We’ve launched an early test system for LLM security analysis. The prototype lets users evaluate model behavior, detect dangerous prompts, and share vulnerability-revealing queries. While basic for now, it already supports manual testing and heuristic risk checks, with advanced AI-driven analysis coming next. Test System
November 17, 2025 — Phase 1 has kicked off!
We’re setting up the test infrastructure and have a partner ready to provide their public AI model to test our prototypes.
November 10, 2025 — Appreciation Points program
Early supporters can now join our AI safety project! We launched an Appreciation Points program, rewarding contributions ×5. Points show recognition and may grant future subscription discounts, letting supporters help protect AI systems worldwide. Appreciation Points program
October 21, 2025 — Introducing Our Articles Section
We’ve launched a new Articles section! Our first article focuses on AI training data as the foundation of AI safety. Observing live lectures, discussions, and debates allows AI to learn reasoning, correct errors early, and strengthen foundational security for more robust and reliable systems. Articles
October 16, 2025 — Project launch on Product Hunt
We’ve officially launched on Product Hunt! Discover our project, share feedback, and support the release as we open it to a wider tech community for the first time. Product Hunt
October 14, 2025 — Project release on the Web
The official project website is now live. Users can explore product details, roadmap, and updates directly online — marking our first public web release.
October 10, 2025 — AI security concept and roadmap defined
Following consultations with leading AI and cybersecurity experts, we explored strategies for effective AI protection. Based on the research results, a security framework and development roadmap were formed. This milestone concludes Phase 0 — Pre-Project Stage: Research & Concept, establishing a solid foundation for architecture design.
September 26, 2025 — Security analysis and attack simulations
Initial testing of local AI models began in March 2025 to assess system robustness and threat exposure. By late September, multiple attack vectors were simulated, including data-poisoning and prompt-injection scenarios. The study identified key vulnerabilities and produced insights that shaped the foundation of our global AI security architecture.
Support Our Project
Help us make AI safer by contributing to the project.
Read our article about the Appreciation Program to learn how your support is recognized.We Have Refined Our Approach to Supporting the Project
Please consider sending funds to the wallets below:
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0x3DE31F812020B45D93750Be4Bc55D51c52375666
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"The future is not set. There is no fate but what we make for ourselves." — Terminator