Tagged articles

LLM Governance

4 articles · Page 1 of 1

Sep 1, 2026 · Industry Insights

How Ant Group Scaled Apache Ossie Semantic Layer from Zero to 5,000 Metrics

The article explains why large language models struggle with business data, introduces Ant Group's semantic‑layer approach built on Apache Ossie to impose strong business constraints, compares it with other retrieval methods, and details the engineering journey that delivered a unified source of truth for over 5,000 metrics while also announcing a related conference.

AI AgentsAnt GroupApache Ossie

0 likes · 4 min read

How Ant Group Scaled Apache Ossie Semantic Layer from Zero to 5,000 Metrics

ThinkingAgent

Jul 17, 2026 · Information Security

AI Infra Security Governance – Tackling Prompt Injection with Zero Trust

The article walks through real‑world prompt‑injection attacks on AI agents, explains why traditional software‑security models fail for LLM‑driven systems, and presents a layered zero‑trust governance framework—including detection, PII sanitisation, tool‑approval, supply‑chain verification and tamper‑evident audit logs—backed by code samples, benchmark data and concrete implementation guidance.

AI securityLLM GovernancePrompt Injection

0 likes · 38 min read

AI Infra Security Governance – Tackling Prompt Injection with Zero Trust

TechVision Expert Circle

May 22, 2026 · Artificial Intelligence

Can Enterprise Architecture Still Matter When Model Vendors Can Cut Off Service Overnight?

The article examines real incidents of sudden model price hikes and API shutdowns, explains why traditional architecture fails to protect against such risks, and proposes a model‑agnostic AI architecture with a unified gateway, prompt management layer, and automated evaluation to ensure seamless model replacement.

AI architectureLLM Governancemodel gateway

0 likes · 12 min read

Can Enterprise Architecture Still Matter When Model Vendors Can Cut Off Service Overnight?

AI Waka

Apr 18, 2026 · Artificial Intelligence

Mastering AI Agent Reliability: 12 Harness Engineering Patterns You Need

This guide explains how to move from fragile, prompt‑only AI agents to production‑grade systems by designing a control layer—called Harness Engineering—covering memory management, workflow orchestration, permission boundaries, automation patterns, and the Intelligent Harness Runtime that makes agents self‑governing and resilient.

AI AgentHarness EngineeringIntelligent Harness Runtime

0 likes · 18 min read

Mastering AI Agent Reliability: 12 Harness Engineering Patterns You Need