secure LLM deployment

LLM-Sys-Prompt--KrishnaG-CEO

LLM07:2025 System Prompt Leakage – A Strategic Risk Lens for the C-Suite in the Age of LLM Applications

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System Prompt Leakage (identified as LLM07:2025 in the OWASP Top 10 for LLM Applications v2.0). This vulnerability poses a silent, potent threat not because of what it reveals superficially, but due to how it erodes the foundational principles of security design, privilege separation, and system integrity.

LLM-SCM-Vulnerabilities-KrishnaG-CEO

LLM03:2025 — Navigating Supply Chain Vulnerabilities in Large Language Model (LLM) Applications

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As the adoption of Large Language Models (LLMs) accelerates across industries—from customer service to legal advisory, healthcare, and finance—supply chain integrity has emerged as a cornerstone for trustworthy, secure, and scalable AI deployment. Unlike traditional software development, the LLM supply chain encompasses training datasets, pre-trained models, fine-tuning techniques, and deployment infrastructures—all of which are susceptible to unique attack vectors.