AI cybersecurity

LLM-Unbound-KrishnaG-CEO

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

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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.

Prompt-Injection-LLM-KrishnaG-CEO

Prompt Injection in Large Language Models: A Critical Security Challenge for Enterprise AI

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Prompt injection occurs when malicious actors manipulate an LLM’s input to bypass security controls or extract unauthorised information. Unlike traditional software vulnerabilities, prompt injection exploits the fundamental way LLMs process and respond to natural language inputs.