We have already discussed some of the aspects of using OSINT tools in the financial industry and insurance (https://www.mtg-bi.com/blog/tpost/mmafsms05z-where...
). Universal risk management and the search for relationships between customers and staff is no less valuable in these sectors than in any other. For example, in the organization of gambling, the operation of casinos and others. However, the internet and social networks provide other interesting opportunities.
Searching for debtors and determining their real locations becomes a completely solvable task, and a completely legitimate one. There are cases when Bellingcat investigations determined the positions of some offenders accurately to a separate building on the basis of a series of photos in Instagram. The offenders posted the photos themselves and boasted of their elusiveness. If we conduct this analysis manually, it takes a lot of time and requires experts. The use of an automatic tool makes searching faster and much easier.
A more general task is the analysis of human behavior that can bring a lot of benefit
to both the financial and insurance businesses. There is a known case when a young woman was deprived of insurance medical benefits, because according to the documents, she suffered from severe depression, and at the same time, she posted in her social networks photos of herself lying on the beaches, brimming with joy and smiling.
An analysis of real solvency can and should be based not only on officially collected documents. Social networks have been and remain a global vanity fair as people post photos and descriptions of their cars, mansions, travels and people dear to their hearts. A careful examination of all this helps a lot in investigating corruption cases, but will be useful in analyzing solvency in the broadest sense.
Analysis of a photo in the spirit of "I'm on the beach near my bungalow" and comments on it can tell a lot about the reputation of a hotel, the reputation of a company that sent the person on vacation, and the reputation of a region. The main thing is that it will be a completely objective assessment. Masses of data needed to draw conclusions on the basis of statistically significant data, and it is provided by automated search tools. The assessment of the successes and failures of competitors, and the assessment of the reputation of the tourism business can greatly benefit from the use of OSINT.
On the other hand, no one speaks as frankly about our real preferences as we do. Everything that traveling people really want is evident from their posts on social networks. Neither focus groups nor special surveys are needed in the form as was previously accepted, as now it is possible to draw meaningful conclusions based on publicly available information. However, there should be quite a lot of it and it should be collected according to certain rules.