Latest AI models can take unsafe actions. Here’s how to stop them.
Powerful AI models still need safe tool execution: combine authorization, action screening, and human approval before agents make real-world changes.
Frameworks keep getting better at making decisions. Building reliable, secure systems still requires controlling what happens after those decisions. These guides turn failure modes into concrete engineering choices.
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Powerful AI models still need safe tool execution: combine authorization, action screening, and human approval before agents make real-world changes.
Compare LangGraph, OpenAI Agents SDK, LlamaIndex, CrewAI, and Microsoft Agent Framework in 2026, including practical trade-offs and a production safety checklist.
A practical defense-in-depth guide for prompt injection: keep retrieved content untrusted, minimize tool authority, and screen actions before execution.
Build secure MCP tool execution with argument validation, least privilege, action screening, approvals, safe failure handling, and bounded access.