Originally published on AI Tech Connect.
What you need to know By mid-2026, many teams deploying agents have absorbed the first lesson of agent security: untrusted text can steer a model, so you filter inputs, spotlight untrusted content and validate outputs. That is prompt-injection defence, and if you have not built that layer yet, start with our guides to defence-in-depth against prompt injection and the guardrails playbook. This article is about the second lesson, which fewer teams have internalised: injection defence guards what goes into the agent, while sandboxing guards what the agent can do when it is wrong, confused or actively manipulated anyway. No input filter is perfect, and an agent that can execute code, run shell commands or call tools will eventually do something you did not intend — the only question is how…
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