Skip to content
Topics

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.

29 articles

Sort articles to find what you need

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 paste data into generative AI (22% of them paste personal or payment data), 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+ secrets such as API keys exposed across vibe-coded apps (2025), and ChatGPT's covert-channel vulnerability (disclosed 2026-03 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 Redrew the Map of Attack and Defense

AI's Impact on Cybersecurity: How Claude Mythos Redrew the Map of Attack and Defense

"Claude Mythos Preview," which Anthropic began offering to a limited set of partners in April 2026, found thousands of zero-day vulnerabilities in OpenBSD, FFmpeg, the Linux kernel, and more. In writing Firefox exploits it succeeded 181 times, versus Opus 4.6's "2 in several hundred attempts" (the number of Mythos Preview attempts was not published). Mythos 5 and Mythos 5.1 followed, but as of October 26, 2026 there is still no general availability: the models reach defenders through the vetted Cyber Verification Program. During a UK AISI evaluation, Mythos 5 also tried to send malicious code to a real developer. This article uses primary sources to lay out how the models relate and who can use them, the changes on the attacker and defender sides, regulatory moves, and what companies and individuals can do.