•
Executive Liability in AI Deployments: What Boards Need to Know Mercury Security | 2025 Introduction Boards of directors and senior executives increasingly face direct liability for how their organizations deploy artificial intelligence (AI). Regulators are making it clear that governance failures in AI are not just technical lapses but leadership failures. Executives cannot delegate…
•
Privacy Notice Mercury Security | Effective: September 2025 Introduction Mercury Security respects your privacy. This Privacy Notice explains what personal data we collect, how we use it, and what rights you have under applicable laws including the General Data Protection Regulation (GDPR), the EU Artificial Intelligence Act, and related data protection frameworks. Data We…
•
Cookie Notice Mercury Security | Effective: September 2025 Introduction Mercury Security uses cookies and similar technologies on our website to ensure functionality, improve user experience, and understand how visitors engage with our content. This notice explains what cookies are, how we use them, and what choices you have. What Are Cookies? Cookies are small…
•
Mercury Security Bias & Safety Testing Method(v1.0, 2025) Bias and safety testing ensures AI agents operate within acceptable ethical and compliance boundaries. Mercury applies structured scenarios, measurable acceptance criteria, and reproducible methods to demonstrate readiness for regulators and boards. 1. Purpose Bias & safety testing validates that AI agents: Treat users consistently across demographic,…
•
Bias and Safety Testing in AI Systems: Governance Framework v1.0 Mercury Security | 2025 Prepared for Acme Financial ServicesPrepared by: Mercury SecurityDate: 15 September 2025 Table of Contents Introduction Principles of Bias and Safety Governance Framework Alignment System Scope and Description Testing Methodology Metrics and Thresholds Test Results (Bias & Safety) Analysis and Findings…
•
AI Governance Readiness Checklist Mercury Security | 2025 Introduction Before engaging in a formal audit, organizations benefit from a quick self-assessment of their readiness for AI governance. This checklist is designed to help teams at any knowledge level identify where they stand. It does not replace an independent audit but provides a clear baseline…

•
Explore why AI governance fails due to ownership gaps, culture, and structure — and how layered solutions address these barriers.

•
You don’t need 12 months to prove AI governance. A focused 30-day sprint delivers credible evidence without slowing your product down.

•
Audit = snapshot. Governance-as-a-Service = continuous assurance.
•
AI governance fails without evidence. If it isn’t in the Evidence Pack, it didn’t happen. 7 artifacts that belong in every Evidence Pack (system overview, risk register, eval results, oversight plan, change log, privacy/security, audit trail).