A practical series on building AI agents that are secure by design — covering trust boundaries, prompt injection defenses, scoped tool access, approval gates, and audit architecture. Each post stands alone; together they form a complete playbook.

AI Agent Prompt Injection Risk Scorecard

Human-in-the-Loop AI Agents: Where Approval Gates Actually Matter

Designing Production-Grade AI Agents: Permissions, Tools, Logs, and Rollbacks

Building AI Agents That Can Use Tools Without Owning Secrets

AI Agent Audit Logs: What Enterprises Need to Capture

AI Agent Runtime Control: Why Prompt-Level Guardrails Are Not Enough

RAG vs Agent Memory vs Workflow State

AI Agents in Regulated Enterprises: Access, Approval, Audit, and Deployment Constraints

Designing Secure AI Agents

From service decomposition to inter-service communication, observability, and graceful failure — a ground-up series on building microservice systems that hold up under real-world load and team growth.

Testing Microservices Without Fooling Yourself

Observability for Microservices Before Production

Designing Scalable Microservices

A practical field manual for planning, building, commissioning, and handing over data center infrastructure in Indian conditions. The differentiated angle is execution control: workstreams, sequencing, approvals, power, cooling, telecom, civil/MEP, vendors, commissioning, governance, risk, and operations handover. Each post stands alone; together they form a complete playbook.

Data Center Project Management in India