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Adam Bjorn offers expert advice on developing a robust casino fraud detection program

Adam Bjorn provides insight into how casinos address risk management and fraud detection to protect their operations.


San José, Costa Rica – WEBWIRE
Adam Bjorn
Adam Bjorn

This is one of the more important steps of fraud detection, as it ensures that there is some responsible for managing the program.  Should that person fail, his or her entire career is on the line.

Maintaining a strategic distance from the misfortunes that bring about instances of fraud in a business doesn’t involve karma or favorable luck.  Key fraud counteraction projects, techniques and procedures structure the bleeding edge of a proper fraud defense structure by distinguishing and filling holes before misfortunes occur.  Adam Bjorn, a seasoned gambling industry executive and expert on fraud detection, provides insight into fraud detection best-practices for casinos.

Compelling projects build up a procedure for the wide oversight of fraud dangers.  This oversight is represented by the top managerial staff, a review board of trustees, or other gathering accused of administration.  It is also shared with relevant individuals inside the company to provide a more robust fraud-detection program that spans multiple levels.  

Associations with successful fraud anticipation programs appoint “proprietorship” of misrepresentation dangers to a ranking director.  This individual, at that point, delegates obligations to unit-level administrators to impart a comparable degree of proprietorship over the association.  Explains Bjorn, “This is one of the more important steps of fraud detection, as it ensures that there is some responsible for managing the program.  Should that person fail, his or her entire career is on the line.”

A Fraud Risk Tolerance and Risk Management Policy is fundamental to the proper enforcement of any fraud risk program.  Certain fraud risks are acceptable and considered an adequate expense of working together. Others are essentially excessively unsafe in their capability to cause cataclysmic budgetary or reputational harm. 

Compelling misrepresentation avoidance programs are determined by their distinguishing proof and classification of dangers, and have a plainly acknowledged resistance level for each.  When a company has the endorsement of its top managerial staff for its identified and qualified risk management policy, its procedures will be more viable.

Fraud can be forestalled by layering powers over existing procedures or re-working procedures altogether to wipe out or lessen the potential for extortion.  Associations with viable misrepresentation anticipation practice direct risk evaluation and afterward address those recognized dangers with process-level controls or reengineering to help forestall, dissuade, and identify instances of extortion.

“Environmental-level” anti-fraud controls need to be included.  Explains Bjorn, “Significant fakes for the most part include senior individuals from the board who can supersede process-level controls through their elevated level of power.  To battle this, many accept that ‘delicate’ controls – advancing moral conduct, dissuading bad behavior and urging all representatives to report known or suspected fraud – offer solid protection against the activity.”

Having a procedure set up to proactively identify, examine, and resolve possibly noteworthy extortion is the last section of a well-rounded program.  Proactive fraud discovery tests, or review ”traps" that are intended to spot or highlight the conceivably important dangers revealed in a fraud risk assessment are especially valuable.

More common, withing the past couple of years, artificial intelligence (AI) is being used to spot and highlight certain types of fraud in casinos.  It does this by building prescient models of conceivable deceitful credit card exchanges and contrasting continuous transactions with existing models to decide fake action.  Says Bjorn, “If it recognizes any type of misrepresentation, it is incited to caution the pertinent bank or retail outlet of the equivalent.  This type of AI is particularly advantageous for online organizations; for example, online gambling clubs that regularly fall prey to online extortion.  In this example, AI turns into an additional layer of security that guarantees installments coordinate the exchanges made for them.”

Hierarchical Holographic Modeling (HHM) is another type of risk management.  It is an all-encompassing procedure planned for speaking to the pith of the inborn differing traits of a framework - its various viewpoints, points of view, features, perspectives, measurements, and orders.  The term holographic alludes to the methodology of a multi-see picture of a framework while recognizing weaknesses.  Perspectives on hazard can incorporate (1) monetary, (2) wellbeing, (3) specialized, (4) political, and (5) social frameworks.  In expansion, risks can be geographically-related or time-related.

The HHM procedure produces a complete arrangement of wellsprings of risks, i.e., classifications of hazard situations.  These sources are segregated as to the probability and seriousness of their results, methodically based on principled rules and sound premises.

About Adam Bjorn

Adam Bjorn has been involved in the gaming industry for the past two decades.  Originally from Australia, he has led casino and gaming operations for a number of different companies and has advanced knowledge of risk management, compliance, customer service, security & fraud detection, operations and general overall casino management.  In his spare time, he is an avid outdoorsman who is always looking for a new adventure.


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 Adam Bjorn


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