The 14-Day AI Data Sovereignty Intervention

We do not guess. We diagnose. Our fixed-timeline methodology provides a ruthless examination of your prompt-layer data flows and delivers the architectural blueprint to secure them.

Generative AI adoption has outpaced traditional security controls. To regain data sovereignty, enterprise leadership cannot rely on automated vulnerability scanners. It requires deep architectural mapping.

365 Architect executes a strict, four-phase methodology over 14 days to map your shadow AI footprint, quantify your IP leakage, and engineer a Zero-Knowledge local AI infrastructure.

Phase 1: Discovery & Shadow AI Mapping (Days 1-5)

We begin by bypassing the assumptions of your Acceptable Use Policies to uncover where your data is actually flowing.

  • API Sprawl Identification: Auditing unauthorized or orphaned API keys connecting internal systems to public LLMs (OpenAI, Anthropic, etc.).
  • Endpoint & Extension Mapping: Identifying unsanctioned browser extensions and local AI wrappers deployed by individual developers.
  • RAG Pipeline Assessment: Evaluating existing Retrieval-Augmented Generation flows for excessive permission scopes and internal data oversharing.
Phase 2: Vulnerability & Compliance Analysis (Days 6-10)

Once the data flows are mapped, we quantify the business and regulatory risk.

  • Prompt-Layer Exfiltration Analysis: Determining if proprietary code, PII, or financial data is being transmitted in plaintext without tokenization.
  • Regulatory Gap Assessment: Mapping active data flows against the strict requirements of GDPR Article 28, the EU AI Act (August 2026 deadline), and HIPAA BAA requirements.
  • OWASP LLM Evaluation: Testing your current deployments against the OWASP Top 10 for Large Language Models, specifically targeting Sensitive Information Disclosure.
Phase 3: The Zero-Knowledge Blueprinting (Days 11-13)

Diagnosis without a cure is useless. We engineer the specific architectural interventions required to stop the leakage without destroying your team's productivity.

  • Local LLM Orchestration Design: Mapping the transition from public APIs to sovereign, on-premises or private-cloud AI models.
  • Smart Redaction Architecture: Designing real-time prompt tokenization and automasking layers that sit between the browser and the model.
  • Immutable Audit Logging: Structuring prompt-level logging requirements to satisfy regulatory evidence requests.
Phase 4: Executive Delivery (Day 14)

We bypass middle management and deliver the unvarnished truth directly to technical leadership.

  • The Threat Matrix Report: A brutal, clear-eyed presentation of your current vulnerabilities.
  • The Engineering Roadmap: The step-by-step architectural blueprint to transition your enterprise to a Zero-Knowledge AI posture.

Diagnose Your AI Data Sovereignty Risk

Apply for a strict 15-minute qualification call to discuss your audit.