AI risk mitigation Archives

Model Context Protocol: Safeguarding Trust in Enterprise AI

9 August 2025 by Krishna

In today’s data-driven enterprise landscape, AI systems are evolving rapidly—transforming decision-making, customer engagement, and operations. However, as machine learning (ML) models grow more complex, the risk of deploying “black-box” systems without proper context increases. The **Model Context Protocol (MCP)** emerges as a robust framework designed to bridge this critical gap.

This blog post explores the concept, implementation, and strategic value of the Model Context Protocol, demonstrating how it can **enhance explainability, reduce regulatory risk, and increase ROI** from AI investments. Whether you are a C-level executive driving transformation or a data scientist building models, understanding MCP is essential for future-proof AI governance.

LLM10:2025 – Unbounded Consumption in LLM Applications: Business Risk, ROI, and Strategic Mitigation

26 June 2025 by Krishna

At its core, Unbounded Consumption refers to an LLM application’s failure to impose constraints on inference usage—resulting in an open door for resource abuse. Unlike traditional software vulnerabilities that might involve code injection or data leakage, Unbounded Consumption exploits the operational behaviour of the model itself—by coercing it into performing an excessive number of inferences.

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

10 June 2025 by Krishna

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.

Attack-Scenarios-Prompt-Injection-KrishnaG-CEO

🧠 Attack Scenarios and Risk Implications of Prompt Injection

6 June 2025 by Krishna

Prompt injection is not just a vulnerability — it’s a multi-headed threat vector. From overt attacks to inadvertent leakage, each scenario introduces unique risks, requiring tailored strategies to safeguard operational integrity, regulatory compliance, and business reputation.

Agentic AI and Infrastructure as Code (IaC): Pioneering the Future of Autonomous Enterprise Technology

29 May 2025 by Krishna

Infrastructure as Code is a modern DevOps practice that codifies and manages IT infrastructure through version-controlled files. It enables consistent, repeatable, and scalable deployment of infrastructure resources.