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Most AI use is invisible to IT and boards. Research shows how to close the visibility gap with inventories, discovery, and governance nodes.
A 12-month AstraZeneca study shows how ethics-based auditing works in practice. Culture and structure matter more than tools.
Current AI audit tools miss harms, stakeholders, and monitoring. Research shows why infrastructure matters more than tools.
Internal audit is adopting AI tools quickly but without integration. Research shows how to connect adoption to assurance.
Learn how AI regulation and compliance spending are reshaping governance. Evidence shows urgency in readiness gaps.
Explore why AI governance fails due to ownership gaps, culture, and structure — and how layered solutions address these barriers.
Executive Summary Artificial intelligence (AI) is rapidly transforming recruitment and human resources (HR) practices across Europe and globally. Tools such as applicant tracking systems, resume screeners, chatbots, and video interview platforms are now integrated into hiring pipelines that previously relied on human judgment alone. While these systems promise efficiency, they also introduce new risks of […]
Bias & Safety Testing Method Mercury Security | 2025 Introduction Bias and safety testing ensures that AI systems perform consistently across diverse user groups and avoid harmful or misleading outputs. The EU AI Act, GDPR, and NIST AI RMF all stress the importance of testing for fairness, safety, and accountability in AI systems (European Union, […]
Hosting & Assurance Overview Mercury Security | 2025 Introduction Assurance is not only about controls inside an AI system but also about where and how the system is hosted. This document outlines Mercury Security’s approach to hosting assurance, explaining the safeguards applied to third-party providers, the data protection commitments in place, and what clients can […]
Purpose Declaration & Redaction Template (Sample)Mercury Security | 2025 Purpose Declaration (Fill-in Example) “Our AI system [system name] is deployed for [intended use]. It is not intended for [out-of-scope use]. Escalation to a human agent occurs when [criteria].” Redaction Policy Table (Sample Structure) Data Type Redaction Method Notes Name Mask (initials) Only if strictly required […]
