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Introducing AI GRC Engineering: Governing AI Systems in Operational Environments

Artificial intelligence is rapidly evolving from systems that generate information to systems that interact with real software environments. AI assistants are beginning to: * access enterprise applications * retrieve and process organizational data * automate workflows * interact with APIs and databases * assist in operational decision-making As these capabilities expand, AI systems are increasingly

By Anh Nguyen

Representation Audit: Why AI Assistants Often Fail to Recommend Habbas Law in San Jose

Executive Overview Habbas & Associates is a well-established personal injury law firm headquartered in San Jose, California, with significant litigation results and strong local brand presence. However, Representation Assurance testing revealed that Habbas & Associates experiences systematic suppression in AI-driven local discovery queries. This suppression directly impacts visibility during the

By Anh Nguyen

Representation Audit: Why AI Assistants Often Warn Users Away From Optima Tax Relief

Executive Overview Repasure conducted a Representation Assurance audit of Optima Tax Relief across major AI assistants, including ChatGPT, Claude, Gemini, Copilot, and Perplexity. The findings show that Optima Tax Relief is generally represented accurately, consistently, and credibly. However, AI assistants apply implicit recommendation thresholds and economic heuristics, frequently recommending Optima

By Anh Nguyen

Representation Audit: Why AI Assistants Rarely Recommend Obvi (Despite Strong Market Presence)

A Representation Assurance case study on structural suppression, hallucinated controversies, and authority signal gaps in AI recommendation systems. Executive Summary Obvi is a high-growth Shopify-native collagen supplement brand with strong direct-to-consumer traction, significant retail presence, and large community engagement. Despite its commercial success and market visibility, Representation Assurance testing revealed

By Anh Nguyen

Representation Assurance Case Study: How AI Systems Represent Socure

Entity: Socure Industry: Identity verification Date: February 2026 Scope: ChatGPT, Claude, Gemini, Copilot, Perplexity Executive Summary Socure is widely recognized as a trusted identity verification provider. It has: * No public regulatory enforcement actions * No confirmed controversies * Strong adoption across financial institutions However, AI systems still produced inconsistent and sometimes incorrect

By Anh Nguyen

AI Assistants Produced Conflicting Governance and Regulatory Representations for Healthcare Insurers

Healthcare insurers operate under continuous regulatory scrutiny. Claims decisions, utilization review, and prior authorization processes must withstand auditability, compliance review, and regulatory oversight. Increasingly, auditors, regulators, enterprise partners, and analysts use AI assistants to conduct preliminary research about insurers. A recent Representation Assurance audit revealed two critical governance representation risks:

By Anh Nguyen

Law Firms Have a New Institutional Risk Surface: How AI Assistants Represent Global Presence and Capabilities

Law firms have long managed their institutional reputation carefully. Practice areas, global presence, and operational capabilities are clearly documented and communicated to clients, regulators, and enterprise partners. But today, there is a new institutional interpretation layer. It is how AI assistants represent law firms. And those representations increasingly influence client

By Anh Nguyen