Permissions, Approvals, and Audit: The Rules of a Trustworthy AI Agent
Practical guide for SMBs: agent identity, least privilege, risk-based approvals, audit logs, testing and controlled rollout.
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Prompt injection and personal data: how to use AI agents safely
Practical guide for SMEs on prompt injection, personal data in prompts, permissions, controls, testing, and incident response.
RAG in 2027: how can we connect AI agents to company knowledge
RAG guide for companies: how it works, current methods, second brain, tools for AI agents, security, and local or cloud solutions.
Build, buy, or integrate? How to choose the AI agent platform
Build, buy, or integrate? A guide for SMEs on AI agent platforms, total cost, security, piloting, and selection criteria.
How to choose the right LLM model for each task
Practical guide for SMEs: evaluating LLMs by quality, Romanian language capability, total cost, latency, confidentiality, and risk.
AI Agents in 2027: What They Are, How They're Built, and Who Manages Them
What an AI agent is, how it’s built, how it’s specialized, and who manages it. A practical guide for companies preparing their first pilot.
The next software buyer might be an agent. How can SaaS platforms sell to AI agents
Guide to SaaS for AI agents: discovery, provisioning, programmatic payments, vendors, pricing, security, and implementation steps.
MCP (Model Context Protocol): history, architecture, current status, and uses
A verified guide to the Model Context Protocol: how it works, version evolution, current status, security, and real-world use cases.