Prompt Injection Attacks In Agentic AI Security Risks

This report describes the expanding attack surface of agentic AI systems, highlighting prompt injection and memory poisoning as key threats that manipulate an AI's reasoning and long-term memory. It outlines defenses including instruction hierarchies, memory integrity controls, decision-path observability, human-in-the-loop governance, and adaptive threat intelligence, and cites Cyble Blaze AI as an example platform providing dual-memory architecture and contextual reasoning to mitigate these risks.