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AI Security & Governance: Safe AI Usage Guide

Security risks of AI tools, prompt data leakage, AI agent safety, and governance best practices for responsible AI use.

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Articles in Security & Governance

Is AI Token Consumption a Productivity Metric? — The Tokenmaxxing Trap and What to Measure Instead

Is AI Token Consumption a Productivity Metric? — The Tokenmaxxing Trap and What to Measure Instead

In 2026, Tokenmaxxing — AI token consumption gamed to inflate internal metrics — was observed at Amazon, Meta, and Microsoft. The Faros AI study of 22,000 developers shows AI use lifts task completion +34% and epics +66%, but bugs rise +54% and PR review time grows 5x. Quantity and quality decisively diverge. This article covers why the crude "token consumption = work output" metric spread, the three field distortions it creates (token pumping, speed over substance, drift toward AI-friendly tasks), alternatives like Salesforce AWU, DORA 4, and AWS outcome indicators, and five practical actions for individuals and organizations — all backed by primary data. The 1990s KLOC failure, re-run with a new unit.

AI Prompt & Input Precautions — An 8-Chapter Checklist to Avoid Leaks, Misbehavior, and Compliance Violations

AI Prompt & Input Precautions — An 8-Chapter Checklist to Avoid Leaks, Misbehavior, and Compliance Violations

What you input to AI — that is the biggest security risk in using AI. Industry surveys show 77% of employees have entered company secrets into AI, and 27.4% of corporate data pasted into AI is sensitive (2.5x the previous year). Samsung's source-code leak (2023), the ChatGPT bug (2023), 400 API keys exposed across vibe-coded apps (2025), and ChatGPT's covert-channel vulnerability (2026-02 by Check Point Research) — the incidents don't stop. This article organizes the "6 NEVER categories," "plan-based judgments for conditionally shareable info," "5 principles of good input that lift quality," "inputs that avoid prompt injection," "4 real-world leak incidents," and "checklists for individuals and organizations" based on the latest 2026 industry research.

AI's Impact on Cybersecurity — How Claude Mythos Changed the Battle Map

AI's Impact on Cybersecurity — How Claude Mythos Changed the Battle Map

Claude Mythos Preview, released by Anthropic in April 2026, hit Firefox JavaScript engine exploit success rates 90× higher than Opus 4.6 and uncovered thousands of zero-days across OpenBSD, FFmpeg, and the Linux Kernel. Anthropic chose not to release it publicly, instead adopting "Project Glasswing" — limited delivery to partners like AWS, Google, and Microsoft. This article maps the new terrain of AI cybersecurity Mythos has revealed: attacker automation, AI on the defender side, regulatory response, and the actions organizations should take, all grounded in the latest data.