In previous posts in our “basic semantics” and “OSINT” series, we discussed how Open Source Intelligence has become a strategic activity at any organizational level and how it is finally being recognized for its relevant and measurable business value. In this post, we will talk about some of the problems with Open Source Intelligence that are correlated both to OSINT approaches (which is the best approach? insourcing OSINT or outsourcing OSINT?) and the most accurate analysis of data (how to effectively manage unstructured information).
Taking advantage of Open Source Intelligence: insourcing or outsourcing?
They say that outsourcing is a clear winner when you need to cut costs; this usually works well with non-core activities. But if we start with the assumption that in today’s enterprise world, OSINT is one of the most strategic activities, outsourcing is not necessarily best.
Before deciding whether insourcing or outsourcing is the best option for your organization, it is important to keep this assumption in mind and to first know that the most relevant success factor in any OSINT strategy is the combination of the right tool with the right skills.
Insourcing might take more time than outsourcing, but investing in your people and creating strong, skilled internal teams will help you build a long term competitive advantage. In fact, the real insight from OSINT not only depends on tools but especially on people using these tools. People, not tools, have a clear vision of problems and goals.
More accurate data analysis means more effective OSINT results
OSINT typically deals with unstructured information such as posts and comments, news and articles, white papers, research, etc. There are several tools that offer OSINT support by monitoring and crunching this ever increasing amount of data.
Crunching, however, does not mean understanding. And today, the real challenge in managing unstructured data is correlated to the quality of the analysis and not only to quantity and volumes.
OSINT tools based on artificial intelligence algorithms help organizations filter and analyze information more effectively by uncovering the meaning of words in context. They accurately understand and analyze information to offer a more precise and complete business picture, helping business make more-informed strategic decisions, anticipate what’s coming in their market, and act quickly on both risks and opportunities.
To learn more about OSINT – Open Source Intelligence base on cognitive computing, visit our OSINT software and tools section.