
AI
AI Agent Hijacking: How Autonomy Fails and What To Do
AI agent hijacking occurs when external inputs manipulate autonomous systems into executing unintended actions, bypassing standard security controls.
Everything Vector Tribune has reported about prompt injection: 4 stories, newest first. Part of our AI coverage.

AI agent hijacking occurs when external inputs manipulate autonomous systems into executing unintended actions, bypassing standard security controls.

Most RAG failures stem from indexing unstructured data without sanitization, allowing attackers to extract sensitive information through indirect prompts.

Securing autonomous agents prevents tool misuse but cannot guarantee correct reasoning, creating a paradox where safety mechanisms may block valid operational workflows.

A critical flaw in PraisonAI Agents allows LLM-generated code to leak all environment variables, including API keys, even when sandboxing is enabled.