Agentic AI Systems Are Outpacing Their Security Boundaries

Researchers at Carnegie Mellon published findings demonstrating that current agentic AI architectures are vulnerable to chained prompt injection attacks where adversarial payloads propagate through tool-call sequences. The study tested 14 popular agent frameworks and found that none adequately sandbox inter-tool communication. This has immediate implications for enterprise deployments where agents orchestrate across email, code execution, and database access simultaneously.