A major part of any application development and delivery process is the risk assessment. In many cases, the application development effort is a significant cost; however, the budget for the roll out of the application could potentially be even greater.
There are also greater dependencies on other applications and thus the complexity of the development and delivery process can also lead to risks. Finally there is more and more compliance legislation around data that must be adhered to and included in any risk assessment.
This is now a major issue for all organizations dealing with personal data and let’s face it, all organizations are dealing with personal data to some degree. Ostia can ensure that regardless of where testing occurs be it onshore or offshore, on premise or in the cloud, the potential for data leaks or data being inadvertently accessed can be eliminated. This is a massive tick box in terms of the risk assessment of any project.
Most new applications built today will have dependencies on existing IT functions within their organizations.
The complexity of these is growing and thus the effort required to access these resources represents a risk to the project. Again we can reduce this risk significantly, by enabling access to exact copies of these IT services within an IT project so that there is no risk in terms of delays waiting for access to IT services.
Many applications require access to high cost external services which are charged based on usage. This can lead to an incremental increase in the cost of testing which introduces a risk to the project. Again we can create exact copies of these external services internally within the project leading to a fixed cost of testing for applications using these external services.
Eliminating Data Governance Risks
Finally, our concept of avoiding any need to access the original application data and even the hardware and software where the original IT asset is based means that only synthetic data is ever used and thus can be accessed by anyone and, if leaked, is actually meaningless thus totally avoiding any data governance risks.