Project PALATIUM is an institutional-grade security abstraction layer designed to enforce compliance, ethical alignment, and operational safety for Large Language Models (LLMs) and Autonomous Agents. Built on the foundations of the Aegis_Compliance fork, PALATIUM provides a robust "compliance-as-code" gateway, ensuring that AI-driven workflows adhere to strict regulatory requirements and organizational security policies.
- Interoperability by Design: PALATIUM utilizes standardized API schemas to ensure seamless integration with heterogeneous Linux-based infrastructures and diverse AI model providers.
- Security-First Paradigm: Implementation of zero-trust communication patterns between the application layer and the AI inference engine.
- Systemic Resilience: Designed for high-availability environments, featuring circuit breakers and deterministic validation logic to prevent system cascading failures.
- Auditable Traceability: Every decision path within the compliance engine is logged with cryptographic timestamps for post-incident forensic analysis.
PALATIUM is specifically engineered to meet and exceed European Digital Sovereignty standards, including:
- EU AI Act Alignment: Native support for risk classification and mandatory transparency requirements.
- GDPR Compliance: Automated PII (Personally Identifiable Information) redacting and data minimization protocols at the inference stage.
- Open Source Autonomy: 100% transparent codebase, eliminating "black-box" dependencies and ensuring long-term technological resilience for public and private institutions.
- Provision Environment: Ensure a hardened Linux kernel with Python 3.10+ and standard build tools (GCC/Clang).
- Installation:
git clone [https://github.com/](https://github.com/)[your-fork]/palatium-core cd palatium-core pip install -r requirements.txt