Scott McMahan, Author at AI Transformer Online

Managing AI Vendors as a Project Manager: What to Negotiate Before You Sign

Managing AI Vendors as a Project Manager has quickly become one of the most important and least taught skills in the profession. AI vendor contracts look deceptively similar to traditional software agreements, but they…

Scott McMahan June 26, 2026

PROMPTFLUX and LLM-Aware Malware: How AI Malware Evades Traditional Detection

PROMPTFLUX and LLM-Aware Malware mark a key shift in cybersecurity threats, requiring security teams in 2026 to understand the significant changes they bring. Google's Threat Intelligence Group identified PROMPTFLUX as the first malware family…

Scott McMahan June 25, 2026

AI-Native Testing: Replacing Manual QA With Intelligent Test Agents

AI-Native Testing is rapidly transforming software quality assurance in 2026. Instead of relying on static scripts that break with interface changes, teams now deploy intelligent test agents that observe, generate, and adapt test cases…

Scott McMahan June 24, 2026

How to Write for Domain-Specific LLMs: A Technical Writer’s Specialization Guide

Learning how to write for domain-specific LLMs is becoming one of the most valuable specializations a technical writer can develop in 2026. Domain-specific large language models are trained or fine-tuned on narrow domains such…

Scott McMahan June 23, 2026

Machine Learning Engineer vs Data Scientist: Which Path Pays More in 2026

If you are choosing between two of the most rewarding paths in tech, the Machine Learning Engineer vs Data Scientist question deserves a clear answer. Both roles sit at the center of the AI…

Scott McMahan June 22, 2026

How to Get a Data Engineering Job in 2026: Resume, Portfolio, and Interview

Data engineering remains one of the most in-demand roles in the AI era. Every organization that deploys machine learning, builds data products, or scales analytics depends on reliable data pipelines. Knowing how to get…

Scott McMahan June 21, 2026

AI Governance for Enterprises: Balancing Innovation Speed With Regulatory Compliance

AI governance is now a legal obligation for enterprises. By 2026, penalties for non-compliance will be significant enough to change boardroom strategies around AI. Why AI Governance for Enterprises Can No Longer Wait The…

Scott McMahan June 20, 2026

AI Project Risk Register Automation: Real-Time Risk Flags Before They Escalate

The traditional risk register is a spreadsheet that gets updated at the weekly status meeting. By the time a risk is logged, analyzed, and acted on, the window to prevent escalation has often already…

Scott McMahan June 19, 2026

Agentic AI Threat Modeling: New Attack Surfaces Most Security Teams Haven’t Secured

AI agents are autonomous software systems that do not just respond to queries. They take actions, access databases, move files, and communicate across systems with minimal human oversight. That autonomy—meaning the capability to operate…

Scott McMahan June 18, 2026

Domain-Specific LLMs for Code Generation: Outperforming General-Purpose Models

General-purpose AI coding assistants are impressive, yet often fail in specialized contexts. Domain-specific LLMs now fill that gap, moving from niche projects to mainstream engineering in 2026 with remarkable speed. Why Domain-Specific LLMs for…

Scott McMahan June 17, 2026