An applied defense-in-depth pattern for agentic AI security: the indirect prompt injection kill-chain, OWASP LLM/Agentic Top 10, and layered mitigations.
Patterns to make LLM tool calls deterministic in production — JSON schema enforcement, validators, retries, and when constraint decoding actually pays off.
Multi-agent orchestration in 2026 — MCP for tools, A2A for agent-to-agent, LangGraph for stateful flows. Reference architecture, picking criteria, and production patterns.
What is publicly known about Anthropic Claude Opus 4.6 — capability tier, agentic coding, computer use, MCP integration, and how it positions against GPT-5 and Gemini 3 in 2026.
AI agents in the enterprise in 2026: why most pilots stalled, the patterns that actually reach production, evaluation and guardrails, ROI, and a deployment maturity model.