




The Sarbanes-Oxley Act of 2002 brought the most dramatic change to USA federal securities laws since the 1930s. Its impact on IT is enormous—requiring documentation and controls, not only of financial data, but also of the software that processes the data.
For many IBM Lotus Notes/Domino development organizations, SOX-related controls are manual and detective rather than automated and preventive. Not only have these processes added significant costs, but they cost even more to audit, cause significant application deployment delays and place a drag on business operations. The time has come to reevaluate these processes and apply automation wherever possible in order to mitigate costs, and provide a robust, efficient and long-term solution. Read how you can reduce compliance costs.
Learn how Teamstudio Consulting delivers a range of focused solutions to bring insight, compliance, and efficiency to the management of your Lotus software assets.
CIOs accountable for Lotus Notes® applications face 3 major security issues: getting an enterprise level view, enforcing policies and producing management reports. It is virtually impossible to resolve these issues automatically using native Notes features, and the cost of doing this manually is enormous.
To create a credible, compliant enterprise level application security framework, the robust low level security features on Notes must be complemented with additional systems. These systems must automatically and flexibly analyze security settings, facilitate enterprise wide system updates and automatically enforce the desired settings.
Get your application security under control.
Structural changes in the business have severe after effects on your Lotus Notes infrastructure. Many high level business strategies can result in serious problems for Notes infrastructure managers. In this paper, we outline the key technical issues unique to Lotus Notes environments that make these projects so challenging and highlight the real world problems that result. Recommendations are offered as to how these issues can be addressed with parameters for an ideal data set that allow IT professionals to progress these projects with certainty and efficiency.