DebitMyData™, based by digital sovereignty pioneer Preska Thomas—dubbed the “Satoshi Nakamoto of NFTs”—proclaims the worldwide launch of its groundbreaking LLM Safety API Suite. This next-generation platform combines reinforcement studying with blockchain-verified digital identification, providing the primary plug-and-play APIs for Agentic Logos™ and Agentic Avatars™, designed to safe AI at scale throughout industrial and regulatory settings.
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“With rising threats posed by deepfakes, artificial media, and AI-driven fraud, we didn’t simply create one other detection instrument,” mentioned Preska Thomas. “We constructed an interoperable identification infrastructure that enables any LLM, model, or safety system to confirm what’s actual, who’s actual, and program belief into AI outputs.”
Addressing the Put up-Deepfake Risk Panorama
The platform’s reinforcement studying core dynamically adapts to evolving AI manipulation methods, delivering:
- Actual-time detection and mitigation of unauthorized AI-generated content material, impersonation, and biometric spoofing.
- Constructed-in international compliance with GDPR, HIPAA, AI Act, and digital sovereignty protocols, guaranteeing enterprise-ready, auditable privateness.
Plug-and-Play Enterprise Safety
- Agentic Logos™: Safe your model’s logos with a blockchain-verified fingerprint, enabling immediate scanning and flagging of unauthorized utilization throughout AI platforms—with zero technical boundaries and GDPR-first privateness controls.
- Agentic Avatars™: Convert faces and voices into safe, self-authenticating digital signatures, verified through NFT credentials for protected identification gating in artificial communications.
Broad, Sector-Spanning Impression-Duel Use
From LLM builders to enterprises and creators, DebitMyData equips stakeholders with trusted identification instruments to fight AI fraud, enhance regulatory compliance, and safeguard digital presence.
“Zero-trust AI safety ought to be easy and common,” Thomas added. “DebitMyData gives a plug-and-play protection stack for AI dangers for governments, firms, and innovators worldwide.”
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