Adeela Hayat

A Deep Learning Framework for Evaluating and Mitigating Prompt Injection in LLM Agents

A deep learning-based approach to detecting and thwarting prompt injection attacks in LLM agent systems that uses a hybrid model of known and customer-generated adversarial prompts to combine transformer-based classification, semantic risk-scoring and adaptive mitigation procedures.