Federal Risk Management Framework (RMFD-R40-CC) Implementation R4.0 DoD/IC Edition (RMFD-R40-CC)
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About this course:
Federal Risk Management Framework (RMF) Implementation 4.0 focuses on the Risk Management Framework prescribed by NIST Standards. This courseware covers most but not all of the objectives of the ISC2 Certified Authorization Professional (CAP) certification exam. It can be used as an aid in CAP exam preparation, but if your goal is primarily to prepare students for that exam, you should use our other RMF course, Federal Risk Management Framework (RMFR-R40-CC) Implementation 4.0 and CAP Exam Prep (RMFR-R40-CC).
The 4.0 edition of the course is current as of August 2017. This edition incorporates the revisions to DODI 8510.01 CHANGE 1 from 2016, the development and publication of the CNSSI-1254 for the IC, additional NIST Special Publications produced to support RMF steps and activities, updated JSIG published in 2016, and newly developed service component actions and updates from the RMF Knowledge Service which have been uploaded and made available for all DOD components to use and implement during their RMF authorization efforts.
Downloadable ancillary materials include a study guide and a References and Policies handout.
|Learning Style||Virtual Classroom|
|Course Duration||4 Days|
Paul has over 2 decades of of technical experience as a senior engineer, operations manager & project lead.
He has had hands-on impact within internal IT infrastructure, as well as in hundreds of unique customer environments that resulted in an in-depth knowledge of a wide range of security, identity, cloud, and infrastructure products & features; and a breadth of knowledge in associated network devices and applications.
His specialties include:
Identity, AD, Azure AD, Azure AD Connect, Azure MFA, ADFS, WAP, e-Gap, IAG, UAG, Firewalls, DirectAccess, Load balancers, PKI, Troubleshooting application and network issues, quickly learning new applications/technologies, building and leading tech teams, project management, creating scalable processes.