Designing agent handoffs that do not lose authorization context
Route to specialists without dropping the user identity, policy decision, or evidence needed to authorize the next tool call.
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Practical FAQ — PharmaTech: security
Practical FAQ — PharmaTech: security Practical FAQ — PharmaTech: security This guide turns the topic into verifiable decisions, concrete controls, and deployment criteria. Why the topic matters — security Why the topic matters should be applie
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Decision comparison — HR Tech: procurement
Decision comparison — HR Tech: procurement Decision comparison — HR Tech: procurement This guide turns the topic into verifiable decisions, concrete controls, and deployment criteria. Why the topic matters — procurement Why the topic matters s
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Decision comparison — HealthTech: monitoring
Decision comparison — HealthTech: monitoring Decision comparison — HealthTech: monitoring This guide turns the topic into verifiable decisions, concrete controls, and deployment criteria. Why the topic matters — monitoring Why the topic matter
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Field guide — Software Development: human oversight
Field guide — Software Development: human oversight Field guide — Software Development: human oversight This guide turns the topic into verifiable decisions, concrete controls, and deployment criteria. Why the topic matters — human oversight W
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Fact check — Cybersecurity: architecture
Fact check — Cybersecurity: architecture Fact check — Cybersecurity: architecture This guide turns the topic into verifiable decisions, concrete controls, and deployment criteria. Why the topic matters — architecture Why the topic matters shou
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Expert guide — AI Agents: data
Expert guide — AI Agents: data Expert guide — AI Agents: data This guide turns the topic into verifiable decisions, concrete controls, and deployment criteria. Why the topic matters — data Why the topic matters should be applied to the specifi
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Secure a tool-using AI agent: least privilege, approvals, MCP OAuth, and Docker sandboxing
This tutorial builds a concrete security wrapper around an agent that can read a repository, comment on an issue, and potentially call more powerful tools. The goal is not maximum autonomy. It is controlled capability: narrow scopes, fail-closed policy decisions, human approval for writes, correct OAuth boundaries for remote MCP, isolated execution
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Production AI agents: a control architecture for tools, approvals, traces, and evaluations
An agent becomes operationally risky when a model output can trigger a real action. Production quality therefore cannot be reduced to fluent answers: the system must control the loop connecting a user request, context, tool selection, authorization, side effects, and evidence. OpenAI’s current Agents SDK documentation exposes the relevant primitive
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Morocco 2022–2026: Two World Cups, One Competitive Architecture That Survived Change
What official results do — and do not — show about the Atlas Lions’ continuity from Doha to Boston. Analysis grounded in official sources with strict separation of facts, interpretation and uncertainty.
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AFCON 2025 Morocco–Senegal Final: Field Result, CAF Status and CAS Appeal Without Confusion
A factual reading of the sporting, legal and reputational dispute, with the exact status as of 28 August 2026. Analysis grounded in official sources with strict separation of facts, interpretation and uncertainty.
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Secrets management: remove long-lived keys from code and pipelines
Secrets management: remove long-lived keys from code and pipelines addresses a concrete operating problem: turn intent into verifiable behavior without hiding security, quality, or operational trade-offs. This piece moves from foundations to expert decisions, using CI deployment using federated identity instead of a static key as a running example and testing every choice against production constraints. Secrets manag
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