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ISACA CRISC Domain 1 Governance

Cybercrime is gaining ground as businesses adapt to the digital age. Banks are not the only area where cybercrime is rampant. Because they have a lot of data and information, businesses are vulnerable to hackers and fraud. The increasing threat to an organization means that the risk team needs experts who can protect it from the most dreaded elements. CRISC is a well-known certification that confirms your ability avoid security breaches. CRISC holders are highly sought-after all over the world and can provide you with a specialty in any field that pays higher.

CRISC
CRISC (Certified in Risk and Information Systems Control), a certificate issued by ISACA (Information Systems Audit and Control Association), certifies that you have experience in managing enterprise IT risks and implementing information system controls. A Risk Management specialist is highly sought after as it is a critical topic for all companies. CRISC certification validates your skills and knowledge in workplace risk management. It will help you manage any risks your company might face. CRISC will help your career grow if you are looking to build your reputation and get recognition.
Domains of CRISC
CRISC encompasses the following four domains. This basically explains the entire Risk Management life cycle:
Domain 1: Governance (26%)
Domain 2: IT Risk Assessment (20%)
Domain 3: Risk Response & Reporting (32%)
Domain 4: Information Technology and Security (22%)

We will be describing the first domain, ‘Governance’.
Domain 1: Governance
Governance is the structure and operation of an organization. It also includes the processes through which it and its employees are held responsible. Governance is the responsibility of protecting an organization’s assets. The board of directors of an organization is responsible for governance. The board entrusts the responsibility of managing the organization’s day to day operations in accordance to the board’s approved strategic directives. Governance covers financial accountability and supervision, legal and human resources compliance, financial performance, operations, control, and social responsibility.
The term “governance”, which refers to both examples that illustrate the importance of effective governance and, at the other end, global corporate disasters, has been at the forefront of business thought for the past decade. Corporate governance is the process by which corporations are evaluated, directed, and regulated. IT corporate governance is the process by which IT’s future and present usage is reviewed, directed and regulated. Any governance system has the goal of helping companies create value for their stakeholders.

Domain 1 of CRISC’s exam carries 26% weightage, which is more than one fourth of the exam. It is divided into:
Organizational Governance
Organizational Strategy, Goals and Objectives
Organizational Structure, Roles and Responsibilities
Organizational Culture
Policies and Standards
Business Processes
Organizational Assets
Risk Governance
Enterprise Risk Management and Risk Management Framework
Three Lines of Defense
Risk Profile
Risk appetite and risk tolerance
Contractual, Regulatory, and Legal Requirements
Professional Ethics of Risk Management
Domain 1, Governance, contains all information about organizational and risk governance.
It explains how the key concepts and risks impact the enterprise.
It defines enterprise risk management concepts.
It explains the differences between management and governance functions.
It teaches you how to assess risk frameworks, and their role in enterprise-level risk management.
It also describes the relationship between IT and enterprise risk.
It shows the importance of risk

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ISACA CDPSE Domain 3 – Data Lifecycle

ISACA’s CDPSE certifies that a Data Analyst and Data Scientist can manage the data lifecycle and help the organization’s experts in enforcing privacy compliance and data protection practices. Data scientists and privacy experts can use data science techniques to improve the end user’s privacy and trust. This article provides an overview of ISACA CDPSE Domain 3: The Data Life Cycle.

Domains of ISACA CDPSE
The CDPSE exam is composed of three domains.
Domain 1: Privacy Governance (34%).
Domain 2: Privacy Architecture (36%)
Domain 3: Data Lifecycle (30%)
Domain 3: Data Lifecycle
The ISACA CDPSE’s third domain covers the remaining 30% of the weightage, which includes data lifecycle components. It addresses data privacy requirements and implements data privacy controls using best practices. Each phase of the data cycle includes data storage and how to assess adequate data within an organization.
What is the Data Lifecycle?
The Data Life Cycle is a series of phases that assist organizations in managing the data flow within the cycle. It is also known as the information lifecycle. The Data Life Cycle is the time that data has been in the system. To ensure smooth business operations, it is important to fully understand privacy requirements for organization data.
Data Life Cycle provides a clear view of how data is stored, transported, and managed. It also checks that the storage requirements for data comply with privacy laws and regulations. The organization processes and analyzes the collected data to fulfill legal requirements.
Data lifecycle management takes “the right to forget” into account. Organizations will comply with privacy procedures if a user requests to delete data from the system. These concepts are covered in Domain 3.
Data privacy and persistence are closely linked, which means that data cannot be collected or stored as undefined. Based on the data type, data has storage requirements. Let’s say that the data includes personal information like name, address, phone number, payment information, and phone number. In this case, data storage could include personal information that conforms to privacy laws. The Domain 3 second part covers data persistence.
Outline of Domain 3 Data Life Cycle
Part A: Data Purpose
This domain includes the concepts of data purpose. Data is used to meet specific needs. Data allows organizations to see various statistics related to different variables. It helps to ensure accuracy and simplifies data analysis.
Data Inventory and ClassificationData Inventory
Data classification

Data Quality and AccuracyData Quality Dimensions

Dataflow and Usage DiagramsDatalineage

Data Limitation
Data AnalyticsUser Behavior Analytics

Part B: Data persistence
This domain includes the concept of data persistence. Data persists in its previous version even if it is modified. External processes cannot delete the data unless the user deletes it. It allows users to retrieve data even if the system is restarted or shut down.
Data minimization
Data MigrationData Conversion
Refining the Migration Scenario
Post-Data Migration

Data Storage
Data WarehousingExtract and Transform
Additional Considerations

Data Retention and Archiving
Data DestructionData Anonymization
Deletion
Crypt-shredding
Degaussing
Destruction

Concepts covered by CDPSE Domain 3 Data Life Cycle
Domain 3 of CDPSE is about data privacy and persistence concepts. Domain 3 will cover data privacy and persistence concepts.
Execute Privacy Impact Assessments, (PIA), and other privacy-focused assessments that are related to the data’s life cycle.
Identify the intern

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ISACA CDPSE Domain 2: Privacy Architecture

A secure privacy architecture is essential for every organization. It helps to manage data centers, privilege management, secure software development and privacy controls. Many organizations place privacy requirements at the heart of their operational models. If privacy breaches or lapses occur, it can lead to the organization losing its ability to do business on the market.

The CDPSE certification by ISACA covers the most important topics of privacy architecture as implemented by security professionals.
Domains of ISACA CDPSE
The ISACA CDPSE exam has three domains.
Domain 1: Privacy Governance (34%).
Domain 2: Privacy Architecture (36%)
Domain 3: Data Lifecycle (30%)
This blog provides an overview and exploration of the contents and concepts in ISACA CDPSE Domain 2.
Domain 2: Privacy Architecture
Privacy Architecture is the second domain for the CDPSE certification and accounts for 36% of the exam weightage. This domain includes how software, hardware, enterprise technologies, and professionals work together to create a privacy architecture for an organisation. It covers the technical privacy controls required to protect data and how they are applied.
The CDPSE certification is a validation of the candidate’s ability to implement essential operations such as privacy impacts assessments when developing software applications in an organization.
What is Privacy Architecture?
Privacy architecture is an infrastructure that includes software and technical privacy controls. It provides valuable insight into the privacy requirements of an organization. Organizations can use the privacy architecture design techniques to create secure technologies for their existing products and services that contain user data. Domain 2 will cover the first and second sections of security infrastructure and software development concepts.
Privacy architecture is necessary to track technologies and privacy controls used to monitor and manage privacy impacts within the organization. Without tracking privacy controls and technology, it is difficult to maintain privacy throughout the organization. Domain 2 will cover privacy controls and tracking technologies.
Outline of ISACA CDPSE Domain2: Privacy Architecture
Part 1: Infrastructure
This section covers self-managed infrastructure, cloud computing basics, privacy concerns, such as privileged access based upon privacy controls, and other approaches to end-point protection.
Module 1: Self-managed infrastructure includes technology stacks.
Advantages of self-managed infrastructure
Limitations of self-managed infrastructure
Privacy concerns

Module 2: Cloud ComputingCloud Data Centers
Cloud computing characteristics
Cloud Service Models
Model of shared responsibility
Cloud computing has many advantages
Cloud computing has its limitations

Module 3: Endpoint Security

Module 4: Remote AccessVirtual Private Networks
Desktop Sharing
Management of Privileged Access

Module 5: System Hardening

Part 2: Software and Applications
This domain covers privacy controls that are implemented during the development phase of software applications. It refers to the Secure Development Life cycle. Tracking technologies are used to ensure that privacy architecture is implemented in the development phase.
Module 1: Secure Development Life CyclePrivacy and the Phases
Privacy by Design

Module 2: Software and Applications Hardening
Module 3: APIs & Web Services
Module 4: Tracking TechnologiesTypes Of Tracking Technologies

Part 3: Technical Privacy Protections
This domain includes the concepts and models of communication protocols.

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ISACA CDPSE Domain 1 Privacy Governance

Certified Data Privacy Solutions Engineer (CDPSE), a well-respected certification that ISACA has accredited to validate the skills required for designing, assessing, and implementing privacy solutions. It builds trust with customers and stakeholders and reduces the risk of non-compliance. It validates the Data Analyst’s/Data Scientist’s ability maintain the data cycle and guides other departments on best data practices and privacy compliance.

Exam Details
Exam DetailsISACA CDPSEDuration210 minNumber of Questions120 questionsExam FormatMultiple ChoicePassing Score450 Out of 800Exam LanguagesEnglish and ChineseDomains of ISACA CDPSE:
The ISACA CDPSE exam has three domains.
Domain 1: Privacy Governance (34%).
Domain 2: Privacy Architecture (36%)
Domain 3: Data Lifecycle (30%)
This blog provides an overview and exploration of the contents and concepts in ISACA CDPSE domain 1.
ISACA CDPSE Domain 1 Privacy Governance
Privacy governance covers 34% of CDPSE’s exam. It covers the management and governance of privacy program concepts as well as risk management. To manage all aspects privacy within an organization, individuals and organizations need privacy governance skills. These skills allow organizations to develop and implement privacy policies and privacy programs.
Privacy governance includes three subdomains.
Governance
Management
Risk Management
Governance
Governance refers to a set of policies, procedures and rules that organizations use to protect personal information and data from hackers. This section covers the following topics:
Personal Data and Information: This describes an individual’s personal information and importance.
Privacy Laws and Standards across Jurisdictions: It defines various privacy laws and standards the organization implements.Application of Privacy Laws and Regulations
Privacy Protection Models
Privacy laws and regulations
Privacy Standard
Privacy Principles and Frameworks
Privacy Self-Regulation standards

Privacy Documentation: This is a collection of policies and procedures that are documented to ensure privacy standards within an organization.

Legal Purpose, Consent and Legitimate Intent: This section explains the legal basics of data processing. The individual consents to the processing of personal data for a particular purpose. Sometimes personal data are used without consent of the individual to meet a particular purpose.
Data Subject Rights: This section explains the various GDPR data subject rights, including the Right to Access Personal Data and the Right to Restrict Data Processing. It also covers other rights such as the Right to Data Portability and the Right to Restrict Data Processing.
Management
Privacy Management assists the organization in conducting privacy assessments, awareness training, or responding to incidents that result in the unauthorized disclosure of personal information. This section covers the following management concepts:
Data: Roles and Responsibilities
Privacy Training and AwarenessContent Delivery
Training Frequency
Measuring Awareness and Training

ManagementLegal Requirements for Vendors and Third-Party Partners
Management Procedures

Audit Process
Privacy Incident Management
Risk Management
Risk management is the process of identifying, assessing and reducing risks within an organization. This section focuses on the following concepts:
Risk Management Process
Problematic Data Actions Affecting PrivacyVulnerabilities
Methods for Exploiting Vulnerabilities
Privacy Harms and Problems

Privacy Impact Assessment (PIA)Established PIA methods

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Is red teaming the right career choice for you?

A cyberattacker can leave a data center with unencrypted hard drives, and even the most current firewall in the world will not stop them. It is crucial that businesses have the right policies, procedures, and processes in place to protect their data, keep it secure, make sure their infrastructure is robust, and ultimately make them resilient. Businesses should conduct a thorough information security audit of their networks and systems to determine how vulnerable they are to an attack. Red Teaming is an offensive security approach that can help. This has led to a rise in demand for Red Team specialists within the organizations.

There are many career options available today that will have long-term implications. Is Red Teaming the right career choice for you? This article will explain what Red Teaming is, and the benefits of being an expert Red Teamer so that you can decide if it is the career for you.
What is Red Teaming?
Red Teaming can be used to assess your organization’s security vulnerabilities. It’s based on the belief that mimicking an attacker can help improve your security team’s defense. A Red Team, also known by ethical or white-hat hackers, is a group that has been trained in hacking and uses their knowledge to “good” use Tactics Techniques and Procedures (TTPs), as used by real adversaries. Their goal is to show the consequences of successful cyberattacks to improve enterprise cybersecurity. This team challenges organizations to improve their effectiveness by playing an antagonistic role or perspective. Although the Red Team is independent of an organization, it can also be part of it.

What is the difference between Red Team and Penetration Testing?
Red Teaming can be mistakenly referred to as Penetration Testing, but it is fundamentally different in its scope and depth. Penetration Testing is designed to identify and exploit all vulnerabilities in a short time span, while Red Teaming requires a more detailed assessment that can take several weeks. Red Teaming activities are used for evaluating an organization’s detection, response capabilities and to meet specific goals.
What is the role of a Red Team?
Red Teams function in this way: leaders recognize the potential for a cybersecurity breach within their organization. A Red Team can be used by an organization to reduce risk and discover vulnerabilities from an impartial and adversarial perspective. Once the Red Team is formed, they will start working with the company’s trusted personnel. Now it is up to the Red Team’s technical skills to exploit the weaknesses of the company. The Red Team’s primary phases are as follows:
Perform reconnaissance: Thieves will be more likely to break into a residence if they know the layout and family routine. The Red Team can also gain a good understanding of the client’s organization by performing reconnaissance. This is the first phase of learning the terrain.
Gain Access: After a thorough understanding of the target and their vulnerabilities, a Red Team can plan and execute the best routes to gain access.
Enumeration, Escalation: Once they have access, the Red Team assesses their position to determine where they want it to be. This could require escalation or a higher level of user access. The Red Team conducts reconnaissance within the network to determine the best position for them to reach their goal.
Pivot: Once the team has established a strategic foothold, they will continue to explore and exploit additional network nodes to help them move laterally to vital business assets and their desired objective.
Persistence: The more skilled an attacker, the greater his chances of being caught.

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AWS To Help Chip Maker Streamline Production

NXP, a Dutch chip manufacturer, has partnered with Amazon Web Services (AWS). This partnership will help improve efficiency and offload its design and testing workloads to the cloud.
According to a Thursday announcement, NXP stated that it is “migrating a large portion of its electronic design automation workloads (EDA) to AWS.” This move will significantly increase NXP’s productivity in manufacturing semiconductors for the Industrial Internet of Things (IoT), automotive and communications, as well as other industries.
NXP explained that putting new chips through their paces involves a time-consuming process. This includes performance simulations as well as testing for power, speed and other metrics. These processes, which were traditionally done in on-premises datacenters, are extremely complex and computationally intensive. This means that one new semiconductor can take many months or even years to produce.
NXP claims that by putting these workloads on AWS cloud, it can perform the same tests and simulations faster and for multiple chips simultaneously.
The company stated that NXP engineers have more time to innovate and less time managing compute resources.
NXP’s various AWS machine learning and analytics solutions such as QuickSight or SageMaker are of particular benefit. AWS Glue is used to maintain the data lake, while Amazon S3 is used for data storage.
Olli Hyyppa, NXP CIO, and senior vice president, highlighted the speed gains of partnering with AWS for chip design workloads. This is especially important given the current global chip shortage.
Hyyppa stated that cloud-based EDA was essential to accelerate semiconductor innovation and get new designs to market faster to support an increasingly digital world with more connected devices. This will allow our design engineers to spend more time on innovation and leading the transformation of the semiconductor sector.

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AWS To Add Go Programming Language SDK

After taking over a third party project, Amazon Web Services Inc. (AWS), will offer a Go programming language SDK for its customers.
Google Inc. was the cloud services rival to Go, but AWS executive Peter Moon stated that the company had received requests for Go to be added to its existing portfolio of Java, C# Ruby, Python, JavaScript and PHP. He began to investigate the idea.
AWS discovered the “aws–go” SDK project by Stripe after researching the issue.
Moon wrote yesterday in a blog post that “This SDK was primarily authored by Coda Hale and was developed using model-based generator techniques very similar to how other official AWS SDKs were developed.” “We approached Stripe and discussed the possibility of contributing to the project. Stripe offered to transfer ownership to AWS. We agreed to take over the project, and make it an officially supported SDK product.
Moon stated that it will be an experimental project on GitHub while AWS collects user feedback. The goal is to harden APIs, increase test coverage, and add key new features like request retries and checksum validation. Moon also mentioned hooks to request lifecycle events.
Wikipedia describes Go as “a statically-typed language with syntax loosely deriving from that of C. It also adds garbage collection, type safety and some dynamic-typing capabilities. There are also additional built-in types like variable-length arrays, key-value maps and a large standard repository.”
Developers have the opportunity to provide feedback via the GitHub site.

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AWS-Thinkbox Deal Produces Fruit by Deadline 10 Preview

Amazon Web Services (AWS), Thursday announced the public preview for Deadline 10, the next version a render management platform developed and maintained by Thinkbox Software, which AWS acquired earlier in the year.
Thinkbox is a Canadian company that specializes in high-performance computing solutions to render and visual effects jobs. It is based in Winnipeg, Canada. AWS purchased the 7-year-old company in March for an undisclosed sum.
Thinkbox’s cloud-based compute management solution Deadline helps users manage the many resources available on-premises and in the cloud for rendering projects that are often very compute-intensive and distributed.
Version 10 of the product is now available for preview by signing up here. It features deeper integration with AWS.
AWS announced that Deadline 10 natively integrates to AWS via existing AWS accounts. This allows for easy and secure expansion of on prem render farms. It automatically connects to customers on-prem farms, tags AWS instances to track and synchronizes automatically with local asset servers to ensure that all files have been transferred before rendering starts.
New licensing options are also included in the preview. AWS stated that Deadline 10 customers can use AWS resources to purchase software licenses, deploy existing licenses, or combine the two.
A third feature is the ability for secure connections to on-premises render farms to cloud via remote connection servers. This allows for faster data transfers.
You can find more information about the Deadline 10 public preview here.

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AWS Tests Enterprise Search Service Powered by Machine Learning

Amazon Kendra, a new service that uses natural language to search for enterprise customers, is now open for public preview.
Amazon Web Services (AWS), announced the Amazon Kendra public preview in March as part of its 2019 reInvent conference. The service can be used as a console application, or an API. It allows users to apply natural language queries to various content sources within their companies and receive “highly precise” answers.
According to Amazon Kendra’s product site, the service is compatible with all information sources and allows companies to “get rid information silos”. The public preview version includes connectors for Microsoft SharePoint Online and Java Database Connectivity. Other connectors for cloud-based services such as Box, Microsoft OneDrive and Salesforce will be available once the product is generally available (AWS hasn’t said when).
Other features include keyword searches and natural language queries support, the ability to retrieve results form unstructured data and FAQs, document rank, relevance tuning, and domain optimization. There are also a limited number of built-in connectors.
Analytics, query auto-completion and incremental learning are some of the new features that will be available upon general availability.
AWS will offer Kendra in two flavors: a Developer Edition for testing purposes, and an Enterprise Edition to be used for production purposes. Here is pricing information. The public preview is currently only available in the Northern Virginia, Oregon, and Ireland regions.
AWS’ announcement about Amazon Kendra closely follows similar news from Microsoft, its cloud rival. Microsoft also presented its own efforts to create AI-driven enterprise search at the November Ignite conference. Microsoft is currently offering a preview of a new “semantic” search capability to organizations.

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AWS Taps Partners With China’s Second Region to Open

This week, Amazon Web Services (AWS), announced that the second region in China is now operational.
AWS’ 17th global region, Ningxia, is its seventh in Asia Pacific. The Ningxia region’s launch comes four years after AWS launched its first Chinese region in Beijing.
Two availability zones are currently available in the Ningxia region, bringing the total number of AWS availability zones worldwide to 46. A region is a single, isolated location that has at least two availability zones. Each zone contains one or more datacenters. During a keynote address at the re:Invent conference last month, Peter DeSantis (Vice President of Global Infrastructure at AWS) explained that AWS’ cloud infrastructure was built for high-availability. The availability zones in any given area are a significant distance apart, and can contain at most 100,000 servers.
A distinctive characteristic of the Ningxia region is its third-party cloud service provider. AWS plays a more supporting role. Ningxia Western Cloud Data Technology (NWCD), a local 2-year-old company, is AWS’ Ningxia regional operating partner. AWS will provide technical support and NWCD will serve as the primary service provider for AWS solutions in the Ningxia region. This arrangement is designed to comply with Chinese regulations.
AWS signed a similar agreement with Beijing Sinnet Technology, its local partner. This was the primary service provider for the Beijing region. AWS went so far as last month to sell a portion of its infrastructure in China, to better comply with local regulations.
AWS announced Monday that while cloud services are available in both AWS China Regions will be the same as in other AWS Regions, AWS’s Chinese partners operate the AWS China Regions separately from all other AWS Regions. Customers who use the AWS China Regions sign customer agreements with Sinnet Beijing and NWCD Ningxia, instead of AWS.
AWS, a cloud giant, has been forced to re-strategize its operations in China by recent cybersecurity legislation. The new laws require cloud operators to keep data from China on servers within the country. Companies must comply with Chinese authorities’ requests to access data or audit their IT operations in order to ensure compliance.
AWS plans to open five additional regions around the globe over the next two-years, including its first Middle East region in Bahrain. Paris, Hong Kong and Stockholm are just a few of the other regions that AWS plans to open in the future.