The Cyber Security and Information Systems Information Analysis Center (CSIAC) is a Department of Defense (DoD) Information Analysis Center (IAC) sponsored by the Defense Technical Information Center (DTIC). The CSIAC is a consolidation of three predecessor IACs: the Data and Analysis Center for Software (DACS), the Information Assurance Technology IAC (IATAC) and the Modeling & Simulation IAC (MSIAC), with the addition of the Knowledge Management and Information Sharing technical area.
The use of manual methods to monitor system controls has essentially become impractical due to the growing number of applicable controls and the increasing frequency at which they are to be evaluated (for the RMF’s near real-time risk assessment). Instead,…
This report details key concerns discussed during the JFAC/DAU/CSIAC Software Assurance (SwA) Cyber Experiment (CYBEX) on 7 Aug 2018. In addition to evaluating newly developed software SwA guides for program managers and developers, the exchange included addressing/bringing back foundational software/system engineering concepts to address root of fundamental Software Assurance (SwA) issues as well as adopting common language in the areas of functionality and risk in order to identify issues early. Balances/trade-offs of those issues could normalize PM and system developer practices to ensure a resilient capability. The report also has several concerns of getting ahead of technology problems both in development, and the technology itself, especially as Agile concepts rapidly become critical for DoD to achieve technological dominance over its adversaries.
The Defense Technical Information Center (DTIC) provides a host of products and services to the DoD and to users in government, industry and academia. One of the important facets of their services is access to a huge trove of scientific and technical information (STI) covering close to seven decades of military research and development (R&D).
Figuring out where and how Artificial Intelligence (AI) and its various sub-types (Machine Learning, Deep Learning, etc.) fit into our world as we move into the future is difficult. In some cases it seems straightforward; AI/ML speech recognition is astoundingly…