
Describe cloud data concepts, including the data lifecycle with create, store, use, share, archive, and destroy phases, and how data dispersion via chunks and erasure coding enhances security and resilience.
Design and apply data security technologies and strategies, including encryption and key management, hashing, masking, and tokenization, with data loss prevention and anonymization to protect sensitive information.
Differentiate structured data designed for querying from unstructured data lacking fixed locations, then implement discovery with metadata, labels, and automation using content and context analytics to assess regulated data.
Learn to implement data classification by mapping data across stores, labeling sensitive data such as pii and ephi, and enforcing audit-ready controls to protect regulatory information under hipaa and gdpr.
Explore domain 2 review topics on hashing for integrity, digital signatures, and encryption. Identify IT environment events, data retention baselines, anonymization, and log data security.
Design a secure data center with tenant partitioning, memory isolation, application isolation, and access controls; select a location considering disasters, climate, and buy-or-build options, plus robust hvac and multi-vendor connectivity.
Explore cloud application architecture and security components, including web application firewalls, database activity monitoring, API gateways, XML firewalls, sandboxing, and application virtualization for modular microservices in the cloud.
Operate physical and logical cloud infrastructure by enforcing strict local and remote access, securing KVM and RDP, and applying secure network configurations (DNS, DHCP, VLAN, VPN) with hardened OS baselines.
Coordinate communication with vendors, customers, partners, regulators, and stakeholders by maintaining centralized contact data, testing it regularly, and delivering tailored, single voice messages during incidents.
Explore domain five review by examining incident reporting recipients, evidence types, change management roles, senior management decisions on incident response, and honeypot concepts.
Articulate the legal requirements and unique risks in cloud environments, including multi-tenancy, cross-jurisdictional laws, and potential data seizures. Manage liability, regulatory frameworks, and eDiscovery challenges with providers.
Understand privacy issues, including contractual versus regulated private data, PII and HIPA-protected information, and GDPR concepts like data minimization, storage, cross-border limits, and the right to be forgotten.
Assess cloud implications for enterprise risk management by evaluating providers' risk programs and the data owner controller versus custodian processor roles, plus rmf controls (800-37, 800-53) and kpis and kris.
An explanation of the material found in the ISC2 CCSP 2019 Exam Outline, with particular focus on what you might expect to see on the exam. If you've been considering taking the CCSP test, this is the course for you. The course offers more than seven hours of video content at a highly-competitive price. Drawn from the instructor's own experience as an official ISC2 CCSP instructor, the course is delivered in a simple, straightforward manner, designed to help you pass the exam.
Students are encouraged to review the ISC2 CCSP Exam Outline, available for free from the ISC2 website. The course includes other recommendations and suggestions for study purposes, as well as guidance on how to approach the test, and which topics are most likely to appear. This course is not a substitute for the requisite experience-- the course content does not teach many of the basics necessary for attaining certification; students are expected to have a background in IT prior to this course. At least five years of specific experience is necessary to qualify for the certification; students should have that much knowledge, as a minimum, prior to taking this course.
WannaBeA. Success and certification are only a class away.