by David Vialpando
For decades, tribal gaming regulation has been built around a familiar model: establish regulations consistent with the Indian Gaming Regulatory Act (IGRA) and gaming ordinance, monitor casino operations, identify and investigate potential violations,issue findings and require corrective action. While this model remains essential, the gaming environment that tribal gaming regulatory agencies (TGRAs) oversee today is fundamentally different from the environment that existed when many regulatory systems were first established in the 1980s. Modern casinos generate extraordinary amounts of information. Gaming systems, surveillance platforms, player-tracking systems, cage transactions, access-control systems, cybersecurity tools, AI-generated analytics, internal audits, licensing databases, employee records, vendor systems and compliance programs collectively produce an enormous information base for the modern tribal gaming regulator.
The question confronting the TGRA is no longer simply whether it has access to that information. The more important question is whether the TGRA can convert information into intelligence, and intelligence into risk mitigation and prevention. This dynamic represents the next generation of tribal gaming regulation.
The most effective TGRA of the future will not necessarily be the agency that conducts the greatest number of inspections or identifies the greatest number of violations. It will be the agency that is best able to identify emerging risks, understand their significance, intervene appropriately and prevent those risks from becoming regulatory and system failures.
The next generation regulator must understand how the casino actually functions, not merely what the regulations and tribal internal controls require. Regulators must understand the application of internal controls, gaming operations, surveillance, investigations, licensing, auditing, AML/BSA compliance, security, technology and the exercise of professional judgment. Technology can make next generation regulators more effective, but it cannot replace them.
The Next Generation Regulatory Model
The traditional compliance model is largely retrospective. An anomaly or adverse incident happens. A regulator discovers it. An investigation is conducted. A finding is issued. Corrective action is required. The traditional model remains necessary. But it has an inherent limitation: the regulator often becomes involved after the risk has already materialized and the damage done. The intelligence-driven next generation TGRA seeks to identify the factors and weakness creating risk and address them before the harm occurs. This seemingly subtle change represents a major transformation in regulatory philosophy.
Consider a casino experiencing increased employee turnover, new management, implementation of new gaming technology, increased gaming volume, repeated internal control exceptions, adverse audit findings, expanded system access privileges, andAI-dependent vendors and sub-vendors. While none of these circumstances necessarily constitutes a regulatory violation, they may create a significantly elevated risk environment. An example might be a casino integrating radio frequency identification (RFID) technology in table games and at the cash cage when no TGRA regulations or internal controls have been developed. Understanding the casino’s operational use of this technology enables the TGRA to identify potential risk and develop the controls necessary to mitigate the risk.
The regulatory progression evolves from Violation → Investigation → Corrective Action to Risk Identification → Assessment → Intervention → Prevention. The next generation TGRA moves from documenting the past to helping shape the future.
We must keep in mind that not every regulatory risk deserves the same level of regulatory attention. Traditional regulatory oversight models can sometimes produce a dynamic in which every department, process and control receives essentially the same level of attention. In the interest of enhanced efficiency and effectiveness, the next generation TGRA will leverage access to volumes of data in developing a dynamic risk profile or risk assessment in areas such as:
• Historical violations
• Repeat deficiencies
• Financial exposure
• Internal control weaknesses
• Employee turnover
• Management changes
• Vendor dependencies
• Cybersecurity vulnerabilities
• AML risk
• Surveillance concerns
• New gaming technology
• Changes in gaming volume
• Prior investigations
• Licensing concerns
• Critical incidents
• External intelligence
Next generation TGRAs will focus on the following questions: Where is the casino vulnerable? How significant would a failure be? How likely is that failure to occur? TGRAs will view casino operational data as a regulatory intelligence asset in answering these questions. The value of this analysis lies in identifying relationships. An isolated employee system access event may be insignificant. An access event combined with an unusual transaction, a policy exception, a vendor interaction and a subsequent system change may tell an entirely different story.
Artificial intelligence will increasingly become part of both casino operations and regulatory oversight.
AI can assist TGRAs with:
• Anomaly detection
• Transaction analysis
• Surveillance analytics
• Regulatory trend analysis
• Document review
• Compliance monitoring
• Employee access analysis
• Cybersecurity monitoring
• Vendor risk analysis
• Investigation support
• Predictive risk modeling
An AI solution may identify an unusual transaction pattern, but the regulator’s analysis of the data is necessary to making a regulatory determination. The technology identifies the pattern and the regulator determines what the pattern means.
Consequently, any TGRA implementing AI-assisted regulatory tools should consider data quality, model validation, false positives, false negatives, human review, algorithmic transparency, privacy, data security, access controls, documentation, auditability, bias and regulatory accountability.
A gaming operation is only as secure as the people and systems with access to it. That means the TGRA’s risk assessment cannot stop at the casino’s organizational chart. Designated employees have access to cash, gaming systems, patron information, sensitive databases, cage operations, and financial information to name a few.
Third-party vendors may have access to gaming systems, network infrastructure, cloud environments, surveillance systems, patron databases, payment systems, cybersecurity systems and remote access capabilities.
Employee and vendor risk therefore must become part of the TGRA’s overall regulatory risk assessment. Unusual system access, excessive overrides, repeated control failures, conflicts of interest, ownership concerns, cybersecurity deficiencies, vendor and subcontractor exposure, remote access privileges and significant system changes may all warrant regulatory consideration. Anyone, or anything, with privileged access to the gaming operation represents a potential regulatory risk that should be understood, monitored and appropriately regulated.
Predictive compliance may ultimately represent the most important evolution of the next generation TGRA. Instead of waiting for a control or system failure, the TGRA’s goal is to identify the circumstances that make a failure or adverse consequence more likely. It means recognizing elevated risk and appropriately increasing regulatory attention. The regulator becomes a risk manager as well as a compliance evaluator. The ultimate objective is prevention.
The transition from compliance to intelligence does not mean traditional regulation has failed. It means traditional regulation has reached the point in an ever increasingly complex casino environment where it must evolve. The next generation TGRA will continue to conduct inspections, audits, investigations, licensing reviews, surveillance oversight, internal control reviews and enforcement actions. But those functions increasingly will be performed through a risk-based and intelligence-driven framework.
The TGRA remains responsible for protecting the integrity of gaming, safeguarding tribal assets and ensuring the safety of people. What changes is how effectively the regulator can accomplish that mission. The greatest regulatory success may be the violation that never occurs.
The next generation TGRA will combine technology with experience, data with judgment, analytics with investigation, surveillance with intelligence and innovation with sovereignty to achieve smarter regulation.
David Vialpando, MBA is Executive Director of the Pala Gaming Commission, Vice-Chairman of the Tribal Gaming Protection Network and author of the book, Fundamentals of Tribal Casino Gaming Regulation – A Primer for Regulators. He can be reached by calling (760) 201-7088 or email [email protected].Â