https://dojmt.gov/wp-content/uploads/Glasswasherparts.com_.pdf

Read this sample breach letter “SAMPLE DATA BREACH NOTIFICATION” and describe how two different economics theories and two different social sciences theories relate to the letter.

Economic Theories:

1. Rational Choice: I believe that if a company has access to personal information (such as credit card information, address, phone number, etc.) they are obligated to inform their customer base of any breaches, even if just potential, to inform them of the attack. Data breaches can also have lasting effects unrelated to the specific site that suffered the attack as well. Many people use the same passwords on various platforms and websites. This could lead to other websites being accessed by the attacker as well.
   
2. Laissez-fare Economic Theory: This theory applies in a way to this particular case in that the police (whether state or federally funded) are actively working the case to protect the interest of the affected customers. While they may have slowed down the process of letting affected individuals know about the breach, they were actively investigating and tracking down the attacker to the best of their abilities in order to protect the consumer.

Social Science Theories

1. Reinforcement Sensitivity Theory: According to the letter, it is possible that the attacker was driven by the need for something such as money or fame. They were most likely looking for a collection of data that they could use to sell to the highest bidder or use to access an individual’s money directly.
   
2. Social Exchange Theory: It appears that the company sending the letter understands the importance of being transparent even at the cost of their own budget. They value their customers enough to acknowledge the attack and share the information with the people who financially support them. By spending the money and being transparent they hope to not only maintain the loyalty of their current customers but possibly add to that number by admitting fault and taking proper actions to avoid it in the future.