Open Publication Registry

    Research Papers & Frameworks

    Deep technical investigations and peer-reviewed studies published by our labs team on model compliance, cybersecurity, and safety-critical AI.

    WP-2024-081New Research Paper

    The EU AI Act & LLM Architecture

    A Guide to Compliant Deployment

    Navigate the complexity of global AI regulations with our latest technical framework. Learn how to bridge the gap between rapid LLM innovation and stringent legal compliance requirements.

    🎯 Key Finding: Data Lineage Gap

    82% of organizations fail to document data lineage for training sets, creating immediate liability under Article 10.

    🎯 Key Finding: Semantic Gateways

    Implementation of a semantic gateway layer reduces hallucinations and security bypasses by up to 64%.

    Real-time PII AnonymizationPrompt Injection FilteringSystemic Bias DetectionImmutable Audit Logs
    WP-2026-104Industrial AI Whitepaper

    Embodied AI Observability

    Breathing Sense into AI with Embodied Intelligence Trust

    A physics-first observability framework for robotics, automation, and autonomous systems that must prove safety, feasibility, and compliance before actions reach the physical world.

    🎯 Key Finding: Common Sense Gap

    An AI system can present healthy confidence and latency metrics while still proposing actions that violate torque, thermal, or safety-zone limits.

    🎯 Key Finding: Action Layer Security

    Independent validation gates can veto unsafe robotic commands before execution by checking physics feasibility, uncertainty thresholds, and policy compliance.

    Physics constraint enforcementSim-to-real divergence divergenceImmutable runtime evidenceCompliance-ready action traceability
    WP-2024-092Cybersecurity Report

    Red-Teaming Generative Agents

    Adversarial Testing in Production

    An exhaustive study on the vulnerabilities of agentic workflows and the automated red-teaming protocols required to secure them against prompt injection.

    🎯 Key Finding: Injection Success

    45% of tested agents were susceptible to indirect prompt injection via 3rd party API responses.

    🎯 Key Finding: Mitigation Latency

    Advanced filtering layers add <15ms of overhead while blocking 99% of known injection patterns.

    Indirect Injection DefenseTool-Call VerificationLatent Space MonitoringAutomated Red-Teaming