February 22, 2026
An AI agent that can execute code, run shell commands, or call APIs needs a sandbox. Without one, a single bad tool call – whether from a bug, a hallucination, or a prompt injection attack – can read secrets, modify production data, or pivot to other systems. This article is a decision framework for choosing the right sandboxing strategy based on your trust level, threat model, and performance requirements.
February 22, 2026
An AI agent with tool access is a program that can read files, call APIs, execute code, and modify systems – driven by natural language input. Every classic security concern applies, plus new attack surfaces unique to LLM-powered systems. This article covers practical defenses, not theoretical risks.
Prompt injection is the most agent-specific security threat. An attacker embeds instructions in data the agent processes – a file, a web page, an API response – and the agent follows those instructions as if they came from the user.