Ai Agents

From guardrails to governance: A CEO's guide for securing agentic systems

• Treat AI agents as semi‑autonomous users, enforcing rules at identity, tool, data, and output boundaries. • Assign narrow job scopes and run agents under user‑level identities, l

Building AI Agents in Kotlin - Part 5: Teaching Agents to Forget

• Agents eventually exhaust context windows, causing crashes and loss of progress. • Switching models (GPT‑5 Codex, Claude Sonnet) can improve performance but still hit limits. • T

Is that allowed? Authentication and authorization in Model Context Protocol

• MCP enables AI agents to access services via standardized remote APIs, similar to REST. • Authentication and authorization happen at the transport layer, ensuring secure client-s