BWRCI Announces AEGES Open-Core Pivot in Collaboration with xAI to Advance Quantum-Era Security Standards

Max Davis is the inventor of Consumer Earned Tokenized Equities (CETEs), founder of DigiPie International PBC and BWRCI, and an author. AEGES and QSAFP are his latest works as the founding architect behind the agentic Cyberg movement.

CHICAGO, IL, August 04, 2025 /24-7PressRelease/ — BWRCI today announces that AEGES, AI-Enhanced Guardian for Economic Stability, is transitioning to an open-core model, revolutionizing quantum-resistant economic security with community-driven innovation. This pivot enhances the accessibility of AEGES’s AI Behavior Evaluation Engine (ABEE), detailed in its preprint (v1, August 7, 2025), which introduces tamper-evident oversight for national infrastructure protection.

We are thrilled to collaborate with xAI, whose Grok 3 AI platform—accessible via grok.com and its iOS/Android apps—is providing developer access to prototype ABEE’s real-time fraud detection capabilities. This partnership underscores AEGES’s commitment to open-source extensibility, with a development call scheduled next week to explore further integrations. The open-core framework, complemented by the QSAFP repo for AI safety governance, positions AEGES for global standards adoption.

To accelerate adoption, AEGES and QSAFP Integration Kits are now live on GitHub, offering pre-built modules and sandbox-ready payloads that let developers create working demos in minutes—what used to take hours or days. These plug-and-play kits dramatically reduce setup time, enabling rapid prototyping of quantum-resilient oversight and AI risk evaluation tools across a variety of environments.

AEGES Integration Kit – GitHub: https://github.com/AEGES-OPEN-CORE/AEGES/tree/main/integration-kits

QSAFP Integration Kit – GitHub: https://github.com/QSAFP-Core/qsafp-open-core/QSAFP/tree/main/integration-kits

Global Developer Invitation
(Inclusion + momentum-building + call to action)

With the open-core pivot, AEGES invites developers, researchers, and institutional stakeholders to join the mission: contribute to GitHub, extend the ABEE sandbox, or co-design governance plugins via the QSAFP framework. By building together, we can accelerate the transition to a globally trusted, tamper-evident AI safety infrastructure.

“To facilitate faster mass adoption of tokenization and fractionalization of digital assets, AEGES and QSAFP had to support by going open-core,” said Max Davis, the designer of both systems.

About AEGES
AEGES (AI Enhanced Guardian for Economic Stability) is a quantum-resistant security system designed to detect and deter digital fraud through tamper-evident tracing and immutable oversight. Its AI Behavior Evaluation Engine (ABEE) leverages real-time analysis to protect national and enterprise infrastructure. Learn more at https://github.com/AEGES-OPEN-CORE/AEGES or, http://getages.org

About QSAFP
QSAFP (Quantum-Secured AI Fail-Safe Protocol) provides runtime safeguards for advanced AI systems through mutual accountability, tamper-proof renewals, and provable expiration logic. Designed to secure AI systems before they surpass human oversight, QSAFP helps ensure AI safety across national and enterprise environments. Learn more at https://github.com/QSAFP-Core/qsafp-open-core or, http://qsafp.org

About BWRCI
Better World Regulatory Coalition Inc. (BWRCI), is an international not-for-profit self-regulatory organization (SRO) that develops inclusive, secure frameworks for autonomous economies and frontier technologies. Current mandates include the Quantum-Secured AI Fail-Safe Protocol (QSAFP), the People’s Autonomous Economy (PAE), https://bwrci.org and AEGES.

About Max Davis
Max Davis — pen name MAXBRUCE — is inventor of Consumer Earned Tokenized Equities (CETEs), founder of DigiPie International PBC, and author of Inclusionism: Finally! A Blueprint for the Bold Transformation of Capitalism. AEGES & the Quantum-Secured AI Fail-Safe Protocol (QSAFP) represent his most recent works as a founding architect of the Cyberg movement — a new class of techno-humanists shaping Earth’s AI future.


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