Enterprise AI Workflow Patterns: Autonomy vs Control
Choose between single inference, fully autonomous agents, deterministic workflows, and guided hybrid agents. Comparison matrix, JSON contracts, and when to escalate from one call to a full agent.
Compliance
Regulatory patterns, audit readiness, and production controls in governed environments.
Agent Identity: Who Is Asking vs Which Software Is Acting
User identity answers who is asking; agent identity answers which software is acting. Least privilege, audit, revoke, and dual gateway checks for real-time and batch.
LLM Hosting Options for Regulated Industries
From public SaaS to air-gapped on-prem: a practical ladder of LLM hosting options, and how to choose based on regulatory pressure and engineering maturity.
HTTPS Encryption Lifecycle - Under the Hood
One HTTPS call from TCP open through TLS handshake, session keys, AEAD records, and teardown. Where asymmetric trust ends and symmetric bulk encryption begins.
Symmetric vs Asymmetric Encryption - Under the Hood
Symmetric crypto shares one secret for speed. Asymmetric uses key pairs for trust and key exchange. Where each appears in TLS, APIs, data at rest, and which mistakes look like security.
Is MCP Really Necessary for Business Agents in Large Regulated Enterprises?
MCP is a valuable standard for AI tool interoperability. For regulated business agents, pin agent governance first (route contract, tools, permissions, context), then choose MCP only where it beats governed business APIs.
Policy-Governed Agent Runtime
Proposal is not permission. Agents propose tool calls; governance decides whether they run. An architecture breakdown of runtime trust boundaries for production agent systems in regulated industries.