LiteLLM, RAGFlow, Kestra: Your AI Gateway Is a Control-Plane Target
AI gateway security after Microsoft's August findings: find exposed LiteLLM, RAGFlow and Kestra hosts in Azure, isolate them, rotate keys, detect abuse.
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Topic
Category: AI
Hands-on AI guidance for IT professionals: governing Microsoft Copilot and LLM access, orchestrating multi-model workflows, and reviewing AI-assisted code without shipping new risk. Practical patterns you can apply this sprint.
9 articles
Securing Azure OpenAI for the Enterprise: Private Endpoints, Entra ID Auth, and Content Filtering
Azure OpenAI private endpoint security done right: lock down deployments with Private Link, Entra ID auth, and content filtering before production.
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Fine-Tuning vs RAG vs Prompt Engineering: Choosing the Right Approach for Enterprise AI Apps
Fine-tuning vs RAG vs prompt engineering compared: what each actually changes, honest cost profiles, and a decision framework for enterprise AI apps.
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Building an Internal Copilot Studio Agent: A Step-by-Step Guide for IT Help Desks
Build an internal Copilot Studio help desk agent end to end: knowledge sources, generative answers, Entra auth, Power Automate ticketing, Teams rollout.
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Prompt Caching with the Anthropic SDK: Cut Token Costs by 90%
Anthropic prompt caching turns repeated context into a 90% discount — here's the exact cache_control setup, math, and failure modes to check.
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LangGraph vs CrewAI: Choosing an Agent Framework in 2026
LangGraph vs CrewAI compared on control flow, debugging, and cost so you pick the right multi-agent framework the first time.
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Missing AI Guardrails: When Your Copilot Serves Data Users Shouldn’t See
Missing AI guardrails let users query their way into data they can't open directly. Close the gap with permission-trimmed retrieval and identity flow.
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Multi-Vendor LLM Orchestration: The Advocate/Adjudicator Pattern with GPT, Claude, and Gemini
Multi-provider LLM orchestration runs GPT, Claude, and Gemini as independent advocates, adjudicates one answer, and gates it — cutting single-model risk.
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Multi-Model AI Code Review in Claude Code: The Advocate/Adjudicator Pattern
Claude Code subagent orchestration fans a change out to rival AI models, adjudicates the best plan by rubric, and gates it behind passing tests.
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