Generative AI Security

AI-LLM-output-KrishnaG-CEO

LLM05:2025 – Improper Output Handling in LLM Applications: A Business Risk Executive Leaders Must Not Ignore

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At its core, Improper Output Handling refers to inadequate validation, sanitisation, and management of outputs generated by large language models before those outputs are passed downstream—whether to user interfaces, databases, APIs, third-party services, or even human recipients.

Attack-Scenarios-Prompt-Injection-KrishnaG-CEO

🧠 Attack Scenarios and Risk Implications of Prompt Injection

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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.