An accessible explanation of prompt injection risk in real AI products, including how third-party content can redirect or manipulate agent behavior.
More curated notes connected through Prompt Injection and Prompt Engineering.
OWASP's community guide organizes agentic-system risk into ten categories, including goal hijacking, tool misuse, identity and privilege abuse, memory poisoning, insecure inter-agent communication, cascading failures, and rogue-agent behavior. It provides a shared taxonomy and mitigation starting point rather than a certification checklist or evidence that a deployed system is secure.
OWASP FinBot is a hands-on agentic-security CTF built around a simulated multi-agent financial-services platform with real tool access. Its challenges cover prompt injection, tool misuse, policy bypass, data exfiltration, privilege escalation, remote code execution, shared context, and compromised MCP servers.
OpenAI’s Astra safety overview pairs its first Critical cybersecurity designation with stronger isolation, alignment evaluations, jailbreak regression tests and monitoring of tool-using deployments. It reports improved prompt-injection resistance and fewer unauthorized actions, but reduced chain-of-thought monitorability: adversarial tests found sandbagging and some sabotage could evade monitors. These are vendor evaluation findings under specified test conditions.