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Software Application Security is the general practice of adding features or functionality to software to prevent a range of different threats such as denial of service attacks and other cyber attacks and data breaches or data theft situations.

Different types of application security such as firewalls, antivirus programs, encryption programs and other devices can help to ensure that unauthorized access is prevented. Companies also can identify sensitive data assets and protect them through specific application security processes tied to these data sets.

Software Application Security is aimed at protecting clients and users of software from of hacking and malicious intent.

Furthermore, Software Application Security is critical for mobile app stores, where hackers try to attach various kinds of malware to less vetted mobile applications.

Security Policies assist you in designing, implementing, guiding, monitoring and managing security over an organization’s data.

It primarily focuses at securing and protecting logical data stored, consumed, and managed by an organization.

Risk assessments identify hazards that could negatively impact an organization’s ability to conduct business.

These assessments help identify these inherent business risks and provide measures, processes and controls to reduce the impact of these risks to business operations.

Privacy by Design promotes privacy and data protection compliance, and helps you comply with data protection regulations.

Companies and organisations need to implement privacy and data protection throughout a project life-cycle, including when:

• Building new IT systems to store or access personal data;
• Needing to comply to regulatory or contractual requirements;
• Developing internal policies or strategies with privacy implications;
• Building websites, mobile apps, customer relation platforms etc…
• Collaborating with an external party that involves data sharing; or
• Existing data is used for new purposes.

Privacy audit is to assess an organization’s privacy protection posture against any legislative/regulatory requirements or international best practices and to review compliance with the organization’s own privacy-related policies.

This involves evaluating procedures undertaken by an organization throughout the typical information life-cycle stages such as how information is created or received, distributed, used, maintained and eventually disposed.

Physical & Environmental Security is defined as that which securely operates on an ongoing basis regardless of the persons in it.

It affects the actions and outcomes concerning the people within it, encompassing everything around us that provide our basic needs and opportunities for social and economic development.

All processes and behaviors take place within specific physical environments. In this instance it has to do with your business.

Organizational Security is a sustained, appropriate level of security in team communication and information management practices.

When more than one person works together to achieve a goal, they need to be able to communicate and manage information to get things done.

Mobile Devices audit addresses the different approaches for managing mobile devices within a business or organization and identifying the impacts and outcomes which are focused on people, devices, applications/websites and data.

Information systems is the study of complementary networks of hardware and software that people and organizations use to collect, filter, process, create, and distribute data.

They comprise combinations of hardware, software, and telecommunications networks that people build and use to collect, create, and distribute useful data, typically in organizational settings.

Information systems are interrelated components working together to collect, process, store, and disseminate information to support decision making, coordination, control, analysis, and visualization in an organization.

Incident Event & Communications enables organizations to create and manage dialogue related to major business issues or incidents.

It allows the bringing together all involved users during these events and establish quick and easy communications within this group.

For example, a major issue occurs in regarding a data breach. The incident could potentially impact all users, so it is important to bring together key representatives and communicate quickly and effectively.

An incident communication plan addresses this process and assists in resolving the matter.

Human Resources is the function in an organization that deals with the people and issues related to people such as compensation and benefits, recruiting and hiring employees, on-boarding employees, performance management, training, and organization development and culture.

Compliance is a comprehensive review of an organization’s adherence to regulatory guidelines.

The outcomes evaluate the strength and thoroughness of compliance preparations, security policies, user access controls and risk management procedures over the course of a compliance audit.

What precisely is addressed varies depending on whether an organization is a public or private company, what types of data it handles, and if it transmits or stores sensitive financial data.

It gauges the overall risks to compliance and security and to determine whether the company is following internal guidelines.

The reports can be used by management teams to identify areas that require improvement.They measure company objectives against output and strategic risks.

Communications & Operations is the sending and receiving of messages among interrelated individuals within a particular environment or setting to achieve individual and common goals.

Organizational communication is highly contextual and culturally dependent.

Individuals in organizations transmit messages via various methods including face-to face, written, video recorded, audio recorded and mediated channels.

Cloud security is the protection of data stored online from theft, leakage and deletion.

Methods of providing cloud security include firewalls, penetration testing, obfuscation, tokenization, virtual private networks (VPN), and avoiding public internet connections.

Major threats to cloud security include data breaches, data loss, account hijacking, service traffic hijacking, insecure application program interfaces (APIs), poor choice of cloud storage providers, and shared technology that can compromise cloud security. Distributed denial of service (DDoS) attacks are another threat to cloud security.

These attacks shut down a service by overwhelming it with data so that users cannot access their accounts, such as bank accounts or email accounts.

Business Continuity and Disaster Recovery (BC & DR) is a set of processes and techniques used to help an organization recover from a disaster and continue or resume routine business operations. It is a broad term that combines the roles and functions of IT and business in the aftermath of a disaster.

BC & DR is divided into two different phases/components:

Business Continuity (BC): BC deals with the business operations side of BC & DR. It involves designing and creating policies and procedures that ensure that essential business functions/processes are available during and after a disaster. BC can include the replacement of staff, service availability issues, business impact analysis and change management.

Disaster Recovery (DR): DR is primarily focused on the IT side of BC & DR. It defines how an organization’s IT department will recover from a natural or artificial disaster. The processes within this phase can include server and network restoration, copying backup data and provisioning backup systems.

Typically, most medium and large enterprises have an integrated BC & DR plan or separate BC and DR plans for dealing with unforeseen natural or man-made disasters.

Asset Management refers to systematic approach to the governance and realization of value from the things that a group or entity is responsible for, over their whole life cycles.

It can apply both to tangible assets (assets with a physical form) and to intangible assets (assets with a non-physical form such as patents, trademarks, copyrights, goodwill and brand recognition).

Access Control is a security technique that regulates who or what can view or use resources in a data drive environment, including digital and print.

It is a fundamental concept in security that minimizes risk to the business or organization.

The effectiveness of compliance starts with the actions undertaken by Senior Management. Although effective compliance starts with the board, it must be disseminated throughout your organization. Senior Management must demonstrate their understanding, commitment and respond quickly to compliance issues raised by data subjects internally and externally.

The components of Senior Management Compliance include establishing its compliance responsibilities, communicating those responsibilities to employees, ensuring business processes incorporate internal policies for meeting legal compliance requirements and review operations to ensure accountability for meeting assigned responsibilities and legal compliance requirements.

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Do you have an idea on how we can improve our platform and service to you? Or maybe you have something in mind.

Reach out to us, we are always open to bright minds and ideas, and who knows where it can lead to.

If you have a question, don’t hesitate to touch base with us.

We will do our best to provide you with the correct answer you require or steer you in the right direction.

Due to the influx of questions we receive on a daily basis, we will do our best to deliver our response to you within the shortest possible time-frame.

This audit is used so you can lodge any data breaches that you come across by your competitors. Upon receipt, we will investigate your compliant and upon confirmation, they will be listed in our non-compliant database. Brand reputation for non-compliance does have a negative impact (aside of possible monetary penalties).

A Centrify study found that 65 percent of data breach victims lost trust in an organization as a result of the breach. IDC found that 80 percent of consumers in developed nations will defect from a business if their information is compromised in a security breach.

On top of lost trust, companies also need to worry about the networks of directly affected customers. An Interactions Marketing survey found that:

• 85 percent tell others about their experience
• 5 percent use social media to complain about their experience
• 20 percent comment directly on the retailer’s website

The magnitude of any data breach is far-reaching thanks to the internet. A company’s widespread negative reputation specifically from a breach can damage their overall reputation more than they realize. This can ultimately impact their bottom line. Security Magazine reported on a study that found:

• 52 percent of consumers would consider paying for the same products or services from a provider with better security
• 52 percent of consumers said security is an important or main consideration when purchasing products or services.

At anytime you can post an article that you feel would be of interest to the wider audience.

The article has to have relevance with data protection and cyber security.

Upon submission, your article will be reviewed and if we find no issues with it, we will post it accordingly in our NEWS section.

If we do have an issue, we will reach out to you.

This audit gives you the right to have inaccurate personal data rectified and incomplete personal data completed.

Keep in mind that this will depend on the purposes for the processing and may involve providing a supplementary statement to the incomplete data.

This audit is used so you can list new career vacancies that require individuals to have a level of data protection skill sets on top of their primary responsibilities.

This audit is used to record your data processors non-compliance to the activities performed based on the personal data and instructions you have handed them.

You must log and protect your position as a data controller against any unforeseen data breaches made by your data processors.

This audit is for the purpose in recording the activities and attaching the agreements between you and data processors.

The data processor or (processor) is a person or organization who deals with personal data as instructed by YOU the data controller or (controller) for specific purposes and services offered to the controller that involve personal data processing.

This audit is used by to record any data breaches brought forward by individuals against you.

It permits you to manage and monitor such breaches, whilst maintaining a digital footprint of events and outcomes from start to finish.

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This Privacy Policy is to keep individuals informed of how you collect, use, share, secure and process their personal data on all your social media platforms.

You are required to inform your customers about why you are processing their data, for how long will you store it and how you use their data in plain and clear words.

Your policy is hosted on our servers and you are permitted to use your custom link branded page with your name and your qrcode, and place it anywhere you desire both online and offline, digital and print.

This Privacy Policy is to keep individuals informed of how you collect, use, share, secure and process their personal data on all your platforms including any and all social media sites you are on.

You are required to inform your customers about why you are processing their data, for how long will you store it and how you use their data in plain and clear words.

Your policy is hosted on our servers and you are permitted to use your custom link branded page with your name and your qrcode, and place it anywhere you desire both online and offline, digital and print.

You will use this audit to log your personal data breaches.

A data breach is the intentional or unintentional release of secure or private/confidential information to an untrusted environment. This includes unintentional information disclosure, data leak and also data spill, careless disposal of used computer equipment or data storage media and unhackable source.

Data breaches may involve financial information such as credit card or bank details, personal health information (PHI), Personally identifiable information (PII), trade secrets of corporations or intellectual property. Most data breaches involve overexposed and vulnerable unstructured data files, documents and sensitive information.

A data breach is a security incident in which sensitive, protected or confidential data is copied, transmitted, viewed, stolen or used by an individual unauthorized to do so.

This Personal Analysis is directed at identifying if you require training and if you are not meeting the desired performance requirements or goals relating to data protection regulations you are directly responsible for.

This Personal Log is used to record your personal data handling activities.

Access logs, error logs, and security audit logs are now considered to hold personal information.

You must protect your position against any future breaches as proof of evidence.

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The Legitimate Interest Impact Assessment (LIIA) is designed to help you to decide whether or not the legitimate interests basis is likely to apply to your processing.

The Gap Analysis assesses the extent of your organisation’s compliance with the GDPR (General Data Protection Regulation), and helps identify and prioritise the areas that it should urgently address.

This Full Audit determines whether the organisation has implemented adequate policies and procedures to regulate the processing of personal data. Additionally, the review will ensure that monitoring of personal data processing is carried out by such policies and procedures and identifying and controlling the risks to mitigate data breaches.

It comprises approximately 1600 questions modulated across 17 primary business operational chapters:

1. 1. Risk Management
   2. Security Policy
   3. Organizational Security
   4. Asset Management
   5. Human Resources Security
   6. Physical and Environmental
   7. Communications and Operations Management
   8. Access Control
   9. Information Systems Application Development and Maintenance
   10. Incident Event and Communications Management
   11. Business Continuity and Disaster Recovery
   12. Compliance
   13. Mobile
   14. Privacy
   15. Software Security
   16. Cloud Security
   17. Privacy by Design

Analytics Data: The process of examining datasets to draw conclusions about the information they contain. Data analytic techniques enable you to take raw data and uncover patterns to extract valuable insights from it..

Audio Data: A binary representation of a sound. This data can be written to a binary file using an audio file format for permanent storage much in the same way bitmap data is preserved in an image file format..

Audio Visual Data: Electronic media possessing both a sound and a visual component, such as slide-tape presentations, films, television programs, videos recording devices.

Big Data: A field that treats ways to analyse, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.

Biometrics Data: Body measurements and calculations related to human characteristics. Biometrics authentication is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance.

Date Stamped Data: Similar to the Time Stamped Data but only shows the date instead of only the time or time and date.

Dark Data: Acquired through various computer network operations but not used in any manner to derive insights or for decision making. The ability of an organisation to collect data can exceed the throughput at which it can analyse the data.

Genomics Data: The Genome (The genetic material of an organism. It consists of DNA. The genome includes both the genes and the non-coding DNA, as well as mitochondrial DNA and chloroplast DNA.) and DNA data of an organism. They are used in bioinformatics for collecting, storing and processing the genomes of living things. Genomic data generally require a large amount of storage and purpose-built software to analyse.

High Dimensional Data: Data whose dimension is larger than dimensions considered in classical multivariate analysis. High-dimensional statistics relies on the theory of random vectors.

Machine Data: Information automatically generated by a computer process, application, or other mechanism without the active intervention of a human.

Marketing Data: The pool of information extracted from various touch-points and interactions between a customer and a brand. This data drives Marketing Analytics to evaluate the effectiveness of any Marketing Campaign and justify the Return on Investment (ROI) of these campaigns.

Open Data: Data which is freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control.

Operational Data: Integrate data from multiple sources for additional operations on the data, for reporting, controls and operational decision support. Unlike a production master data store, the data is not passed back to operational systems. It may be passed for further operations and to the data warehouse for reporting..

Real Time Data: Information that is delivered immediately after collection. There is no delay in the timeliness of the information provided. Real-time data is often used for navigation or tracking.

Semi Structured Data: Data that does not obey the tabular structure of data models associated with relational databases or other forms of data tables, but nonetheless contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data.

Spatiotemporal Data: Spatial refers to space. Temporal refers to time. Spatiotemporal, or spatial temporal, is used in data analysis when data is collected across both space and time. It describes a phenomenon in a certain location and time, for example: shipping movements across a geographic area over time. A person uses spatial-temporal reasoning to solve multi-step problems by envisioning how objects move in space and time..

Structured Data: Data created using a predefined (fixed) schema and is typically organised in a tabular format. Think of a table where each cell contains a discrete value.

Time Stamped Data: A time registered to a file, log, or notification that records when data is added, removed, modified, or transmitted.

Tracking Data: Data delivered by a combination of hardware and software, which when used together allows you to know where something is at any point in time.

Translytic Data: Enables on-demand real-time data processing and data reporting with new metrics not previously available at the point of action.

Unstructured Data: Information that either does not have a predefined data model or is not organised in a predefined manner. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts.

Unverified Outdated Data: Data that has been collected where nobody has any idea of it’s relevance, accuracy or purpose.

Verified Outdated Data: Data that has been collected where someone has an idea of it’s relevance, accuracy or purpose.

Visual Data: Graphical representation of data. By using visual elements like charts, graphs, and maps, data visualisation tools provide an accessible way to see and understand trends, outliers, and patterns in data.

Website Data: A variety of tools on websites that collect data using both cookies and javascript libraries. Cookies are small text files that store Internet settings from the websites you visit. They are widely used to make website features work, operate more efficiently, or improve the user experience on the site. Cookies are also used to remember the user preferences or personalise the content so that it is more relevant to them. Javascript libraries are snippets of codes which run on a web-page that are executed when certain actions take place..

Centralised Database: The personal data is stored at a centralised location and the users from different locations can access this data. This type of database contains application procedures that help the users to access the data even from a remote location. Various kinds of authentication procedures are applied for the verification and validation of end users, likewise, a registration number is provided by the application procedures which keeps a track and record of data usage. The local area office handles this thing.

Cloud Databases: Now a day, data has been specifically getting stored over clouds also known as a virtual environment, either in a hybrid cloud, public or private cloud. A cloud database is a database that has been optimised or built for such a virtualisation environment. There are various benefits of a cloud database, some of which are the ability to pay for membership access, storage capacity and bandwidth on a per-user basis, and they provide scalability on demand, along with high availability. A cloud database also gives enterprises the opportunity to support business applications in a software-as-a-service deployment.

Commercial Database: These are the paid versions of the huge databases designed uniquely for the users who want to access the information for help. These databases are subject specific, and one cannot afford to maintain such a huge information. Access to such databases is provided through commercial links.

Distributed Database: Opposite of the centralised database concept, the distributed database has contributions from the common database as well as the information captured by local computers also. The data is not at one place and is distributed at various sites of an organisation. These sites are connected to each other with the help of communication links which helps them to access the distributed data easily. You can imagine a distributed database as a one in which various portions of a database are stored in multiple different locations(physical) along with the application procedures which are replicated and distributed among various points in a network. There are two kinds of distributed database, viz. homogeneous and heterogeneous. The databases which have same underlying hardware and run over same operating systems and application procedures are known as homogeneous databases, for eg. All physical locations in a database. Whereas, the operating systems, underlying hardware as well as application procedures can be different at various sites of a database which is known as heterogeneous databases.

End User Database: The end user is usually not concerned about the transaction or operations done at various levels and is only aware of the product which may be a software or an application. Therefore, this is a shared database which is specifically designed for the end user, just like different levels’ managers. Summary of whole information is collected in this database.

Graph Databases: The graph is a collection of nodes and edges where each node is used to represent an entity and each edge describes the relationship between entities. A graph-oriented database, or graph database, is a type of NoSQL database that uses graph theory to store, map and query relationships. Graph databases are basically used for analysing interconnections. For example, companies might use a graph database to mine data about customers from social media.

NoSQL Database: These are used for large sets of distributed data. There are some big data performance issues which are effectively handled by relational databases, such kind of issues are easily managed by NoSQL databases. There are very efficient in analysing large size unstructured data that may be stored at multiple virtual servers of the cloud.

Object-Oriented Databases: An object-oriented database is a collection of object-oriented programming and relational database. There are various items which are created using object-oriented programming languages like C++, Java which can be stored in relational databases, but object-oriented databases are well-suited for those items. An object-oriented database is organised around objects rather than actions, and data rather than logic. For example, a multimedia record in a relational database can be a definable data object, as opposed to an alphanumeric value.

Operational Database: Information related to operations of an enterprise is stored inside this database. Functional lines like marketing, employee relations, customer service etc. require such kind of databases.

Personal Databases: Data is collected and stored on personal computers which is small and easily manageable. The data is generally used by the same department of an organisation and is accessed by a small group of people.

SQL Relational Databases: These databases are categorised by a set of tables where data gets fit into a predefined category. The table consists of rows and columns where the column has an entry for data for a specific category and rows contains instance for that data defined according to the category. The Structured Query Language (SQL) is the standard user and application program interface for a relational database. There are various operations that can be applied over the table which makes these databases easier to extend, joining two or more databases with a common relation will modify all existing applications.

A Data Protection Impact Assessment (DPIA) is a process to help you identify and minimise the data protection risks of your organization.

Throughout all corners of the globe, compliance with the GDPR, or more accurately, compliance failures, has gained significant attention. Organisations need to respond to stakeholders’ concerns about personal data, and boards require self evaluation mechanisms addressing such concerns and meeting acceptable compliance standards.

Corporate Governance is the framework of rules and practices by which a board of directors ensures Accountability, Fairness, Independent Assurance, Leadership and Transparency in a Company’s relationship with its Stakeholder engagement (financiers, customers, management, employees, government, and the community).

This Compact Audit determines whether the organisation has implemented adequate policies and procedures to regulate the processing of personal data. Additionally, the review will ensure that monitoring of personal data processing is carried out by such policies and procedures and identifying and controlling the risks to prevent data breaches.

It comprises 95 questions covering the following 17 primary business operational factors:

1. 1. Risk Management
   2. Security Policy
   3. Organizational Security
   4. Asset Management
   5. Human Resources Security
   6. Physical and Environmental
   7. Communications and Operations Management
   8. Access Control
   9. Information Systems Application Development and Maintenance
   10. Incident Event and Communications Management
   11. Business Continuity and Disaster Recovery
   12. Compliance
   13. Mobile
   14. Privacy
   15. Software Security
   16. Cloud Security
   17. Privacy by Design

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Use the wide range of interactive tools available in the eBook including table of contents, bookmarking, adding unlimited notes, printing, searching, full screen view, zoom in, zoom out etc. Also right-click your mouse for quick options once eBook has opened.

keep in mind if you clear your cache you lose your notes

EBOOK

…
Use the wide range of interactive tools available in the eBook including table of contents, bookmarking, adding unlimited notes, printing, searching, full screen view, zoom in, zoom out etc. Also right-click your mouse for quick options once eBook has opened.

keep in mind if you clear your cache you lose your notes

EBOOK

…
Use the wide range of interactive tools available in the eBook including table of contents, bookmarking, adding unlimited notes, printing, searching, full screen view, zoom in, zoom out etc. Also right-click your mouse for quick options once eBook has opened.

keep in mind if you clear your cache you lose your notes

While there are major benefits in using new technologies, organisations need to be aware of the potential challenges when utilizing biometric data in a fair, transparent and accountable manner.

Biometric horizontals, verticals and diagonals require to be addressed for their compliance with data privacy regulations.

Artificial Intelligence (AI) is technology that gives machines the power to perform specific tasks that normally require human intelligence such as visual perception, speech recognition, decision making, learning, and language translation.

A compliance approach to AI strives to ensure that human values are central to the way in which AI systems are developed, deployed, used and monitored, by ensuring respect for fundamental rights, which are united by reference to a common foundation rooted in respect for human dignity, in which the data subjects enjoy a unique and inalienable protection status by entities engaging in Artificial Intelligence (AI).