Aegis365 | Prompt-Layer Governance | Zero-Knowledge
The Threat: A global enterprise faced critical IP exfiltration risks as developers routinely pasted proprietary algorithms into public LLMs. Traditional DLP and SIEM tools were completely blind to these HTTPS payloads.
The Architecture: We engineered and deployed an 8-layer interception pipeline via a Hybrid Sidecar model. Utilizing local Small Language Models (SLMs) for intent analysis, we established prompt-level enforcement that detects and classifies source code, PII, and financial data. By applying format-preserving tokenization, the LLM receives a coherent synthetic prompt, ensuring the enterprise's true IP never leaves the perimeter in plaintext.
BrainNest365 | Local LLM Orchestration | GraphRAG
The Threat: Standard enterprise AI deployments require sending highly sensitive internal corpora to external providers for indexing, breaking data residency and privacy mandates.
The Architecture: We designed a fully air-gapped, sovereign AI ecosystem operating on local infrastructure. We orchestrated a dual-store retrieval system: Qdrant indexing native 4096-dimensional embeddings alongside PostgreSQL for relational structures. The system utilizes Microsoft GraphRAG to harvest complex entity relationships, executing all inference and embedding locally without a single outbound API call to a third-party LLM.
QuantumReady 365 | FIPS 203/204 | Crypto-Agility
The Threat: The "harvest-now, decrypt-later" threat model means long-lived enterprise secrets protected by RSA and ECC are already compromised by future cryptographically-relevant quantum computers.
The Architecture: We developed a comprehensive migration framework transitioning .NET 10 infrastructure to NIST-standardized algorithms, specifically ML-KEM and ML-DSA. Instead of a disruptive "flag day," we implemented a hybrid key exchange and a crypto-agility envelope. This allows systems to run classical and post-quantum cryptography simultaneously, wrapping AES-256 data-at-rest keys with ML-KEM to secure data without touching the underlying symmetric cipher.
Due to the highly sensitive nature of prompt-layer vulnerabilities and corporate data sovereignty, 365 Architect operates under strict Non-Disclosure Agreements. All client engagements are anonymized and composites may be used for educational purposes only.
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