Scott Miller - Super Awesome AI Source (Page 71)

zero-trust security

How to Build a Zero-Trust Identity Verification Layer for Human-in-the-Loop Approval Gates in Multi-Agent Workflows

In 2026, multi-agent AI systems are no longer a research curiosity. They are the backbone of enterprise automation: orchestrating deployments, approving financial transfers, modifying production databases, and triggering irreversible supply chain actions. Alongside this power comes a threat that most platform security models were never designed to handle. When a

Windows 11

7 Driver Compatibility Pitfalls Backend Engineers Ignore When Packaging Peripheral Device Software for Windows 11 24H2 Deployments in 2026

You've built a rock-solid backend pipeline. Your CI/CD is clean, your packaging scripts are elegant, and your QA team has signed off. Then your peripheral device driver lands on a fleet of Windows 11 24H2 machines and everything breaks. Sound familiar? Driver compatibility for Windows 11 24H2

Agentic Workflows

Synchronous vs. Asynchronous Agentic Workflow Execution: Which Model Holds Up When Per-Tenant Task Queues Spike Beyond Foundation Model Throughput Limits

Here is a scenario that every platform engineering team running multi-tenant AI infrastructure has either already lived through or is about to: it's 9:07 AM on a Tuesday, three of your largest enterprise tenants simultaneously trigger high-volume agentic pipelines, and within 90 seconds your foundation model provider

Multi-Agent Systems

How One Platform Team Discovered Their Multi-Agent Workflow Checkpointing Strategy Was Silently Corrupting Long-Running Task State During Foundation Model Failovers , And Rebuilt Their Recovery Architecture From Scratch

When the platform engineering team at a mid-sized fintech company (we will call them Meridian Financial Labs) first deployed their multi-agent orchestration layer in late 2024, everything looked fine on the surface. Pipelines completed. Dashboards were green. SLAs were being met. It was not until a routine audit of their

AI Agents

We Built the Perfect Per-Tenant AI Agent Isolation Layer. Now We Think It Was a Mistake.

There is a particular kind of engineering regret that only arrives after you have done something well. Not the regret of shipping something broken, or cutting corners under deadline pressure. This is the quieter, more unsettling kind: the regret of spending months building something elegant, robust, and technically impressive, only

AI Security

FAQ: Why Enterprise Security Teams Are Demanding Cryptographic Proof of AI Agent Identity in 2026 (And What Backend Engineers Must Do About It)

If you have been building multi-step agentic workflows in the past year, you have almost certainly hit a new wall: a security review that stops your deployment cold and asks a question that did not exist two years ago. The question is something like: "Can this AI agent cryptographically

OpenAPI

The Versioning Trap: Why OpenAPI 3.x Is Breaking Under the Weight of Agentic AI in 2026

There is a quiet crisis unfolding in backend engineering teams right now, and most of the postmortems are being filed under the wrong root cause. Engineers are blaming model hallucinations, blaming orchestration frameworks, blaming token context limits. But the real culprit is hiding in plain sight, sitting comfortably in your

AI Agents

How Per-Tenant AI Agent Memory Persistence Actually Works (And Quietly Fails) in 2026

There is a silent crisis unfolding inside enterprise agentic systems right now, and most engineering teams are not catching it until it is far too late. Your long-running AI agents are losing tenant context. Not dramatically, not in ways that trigger alerts, but in small, compounding ways that corrupt the

AI Agents

How to Implement Per-Tenant AI Agent Audit Trails That Satisfy Enterprise Procurement in 2026

Here is a scenario playing out in boardrooms and procurement offices across the globe right now: your sales team has finally gotten a Fortune 500 company to the finish line on a multi-year agentic platform contract. The deal is worth millions. Then the enterprise procurement lead sends over a 47-point

Agentic AI

7 Signs Your Agentic Workflow Orchestration Layer Is Becoming a Single Point of Failure as Multi-Step Task Complexity Scales in 2026

Agentic AI systems have moved from experimental sandboxes to production-critical infrastructure at an astonishing pace. In 2026, engineering teams are no longer asking whether to deploy multi-step agentic workflows; they are asking how to keep them from collapsing under their own weight. The orchestration layer, the central nervous system that

Model Context Protocol

The Architects of Their Own Obsolescence: Why Backend Engineers Who Mastered Per-Tenant AI Agents Are Quietly Killing MCP Adoption

There is a particular kind of organizational irony that only surfaces in the middle years of a technology transition. It is not the irony of the early adopter who bet on the wrong horse. It is not the irony of the executive who ignored a trend until it was too

AI Agents

Centralized vs. Federated AI Agent Tool Registries: Which Architecture Actually Reduces Cross-Tenant Blast Radius When a Shared Integration Fails?

Picture this: it's 2:47 AM and your on-call engineer gets paged. A third-party CRM integration that powers your AI agent platform has started returning malformed responses. Within minutes, you discover that every tenant on your platform is now getting broken tool calls, hallucinated outputs, and failed workflows.