Jose Cruz
Financial Analyst
AI and Prevention of Fraud
In the AI course that I took this summer in the Universidad Iberoamericana made a deep analysis of how new technologies are changing the world, we dive into applications of machine learning, artificial intelligence, blockchain, and others. My final project was about creating the basics of an enterprise that could develop this type of technology as its main address. I would like to share a brief summary of this project called "AI Fraud Security System".
The Economic Crime Survey 2018-Mexico Edition revealed that the rate of economic crime or fraud in Mexico in companies grew from 37 percent, in 2016, to 57 percent, in 2018. The main responsibility for the frauds were the own employees of the companies; this is because the internal actors have 63 percent responsibility for economic crimes, while the external actors only 32 percent.
KPMG is a global network that mainly focuses on advisory and audit services, working in more than 150 countries. They have released an analysis report that states frauds are realized by internal employees 80% of times, this only means that there is an inefficient system operating through the company, and it could have been prevented. As companies grow the people whom you work with also increases, and so the risk of fraud.
Our company will be center at first towards financial companies that manage a lot of transactions and work with more data than other sectors. When it comes to our size market, the Global Fraud Detection and Prevention market accounted for $17.52 billion in 2017 and is expected to reach $120.2 billion by 2026 growing at a CAGR of 23.9% during the forecast period. So this tells us that the Growing demand for cloud-based security solutions, the sophistication of cyber/internet frauds and attacks and the emergence of big data analytics are some key factors boosting the market growth.
The main competitors our company would have are: Consulting companies that establish intern controls and prevent frauds (CFK International, McKinsey), Banking Anti-Fraud Services, this one is center more in fraud related to credit cards, and lastly, Forensic Data Analytics PWC that is the closest model to us, that uses data analytics to model possible future frauds in companies.
Our business model consists of a subscription model, in which our clients will receive the services and benefits that our system offers while they make an annuity payment. Depending on the type of services, we will be incrementing costs in order to the needs and specifications of the company that hired us. The idea is that it will be a made-to-measure suit. Our main threats are the following:
- There are other prestigious companies that can enter easily to the market.
- Some companies can create their own system
- Hackers can cut the intercepted data.
- AI is evolving too fast, so we always have to be creating new models, and innovating
We have to mitigate it following the strategy that we have to grow, invest in developing constantly our algorithm in order to keep our competitive advantage and made our system safer, faster, and more precise and more reliable.