Advanced searches left 3/3
Search only database of 8 mil and more summaries

Data Privacy And Security

Summarized by PlexPage
Last Updated: 02 July 2021

* If you want to update the article please login/register

General | Latest Info

Companies live with constant fear of experiencing data breaches because they understand harm IT can causenot only to their reputation, but to their bottom line. Because of these concerns, they do what IT takes to protect their data, networks and infrastructure from both outsiders and malicious insiders. But that is only half story, and more organizations are beginning to realize that. On the other hand, data privacy is equally important. Data Security refers to ways organizations protect their data, including technical safeguards that help ensure data confidentiality, integrity and availability. Data Privacy revolves around use and governance of personal data. This can include everything from personally identifiable information to financial information, to information about persons career, education, health, family or criminal history. From these definitions, it is clear that these two terms, Data Security and Data privacyshould not be used interchangeably. While they are certainly related and are both extremely important, they should be addrest in different, but integrated ways. We like to say you can have Security without Privacy, but you ca have Privacy without Security, says Cindy Compert, CTO Data Security and Privacy for IBM Security. Consider data that you consider to be solidly secure: its encrypted, access is restrict, and you have put in place multiple overlapping monitoring systems. In all meaningful senses of word, data is secure. But when you add privacy into the mix, IT becomes a little more convoluted. For example, while customer service agent may be provision to access your account details after going through some security questions, privacy wo allow the same individual to check the account of family member,s even though they have access privileges to that information. Increasingly stringent regulations in the United States and abroad have put Data Privacy concerns and compliance front - and - center for most companies. For example, privacy regulations in laws like the Health Insurance Portability and Accountability Act and the Childrens Online Privacy Protection Rule give customers the right to see all data collected about them and allow them to request deletion of that data. Some states, like California, have their own privacy laws. The more recent General Data Protection Regulation from the European Union is even broader, defining privacy violation as illegal retrieval or disclosure of any information relating to identified or identifiable natural person. That information can include posts on Social media, email addresses, bank details, photos and IP addresses. Failure to comply with this regulation can result in fines of up to 4% of gross revenue. Each organization defines its own Data Privacy policies, which typically include what data will be collect, how that data will be collected and used, who will have access to IT, whether or how data can be shared with third parties, if data can be legally collected or store, and how long Data will be store. They also detail which regulatory restrictions organization must comply with. This information is critical, not only to companies hoping to avoid fines and other penalties, but to customers themselves.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Definition of Data Privacy

Data Privacy is ensuring that information is not accessed by unauthorized parties and that individuals retain control over their personally identifiable information. Therefore, IT is primarily concerned with procedures and policies that govern collection, storage and use of PII and proprietary corporate information, such as trade secrets, personnel and internal processes. Pii stands out as highly sensitive information because of civil and criminal liability companies and individuals face if they allow PII to be improperly expose, whether due to overt actions or inadvertent data security lapses. Ensuring Data Privacy requires more than a particular set of techniques or technologies. It also involves training every employee with access to sensitive data on approved Data Protection process. Just as airplane pilots use checklists to ensure that critical items are reviewed before flight and monitored during flight, IT pros must also be able and willing to use Data Privacy policies and other resources to ensure privacy of PII and other sensitive data. In particular, to ensure data privacy, IT pros should implement a set of guidelines, processes and procedures that spell out in detail how sensitive data is collect, stored and used by a company and its employees across all its systems. The purpose of this privacy policy is to ensure that all employees realize the importance of data privacy, understand how to help prevent improper exposure of data, and know how to deal with privacy issues and policy breaches. Breaches of Data Privacy are no longer just embarrassing or inconvenient for organizations. Now, privacy laws like HIPAA and GDPR impose penalties for failure to safeguard the privacy of PII and other highly sensitive personal information. These compliance standards can impose financial sanctions and even criminal charges for intentional and sometimes even unintentional exposure of PII. Hipaa focused on protection of healthcare - related personal data in the US, while GDPR imposes a broader set of privacy standards and regulatory compliance requirements on any company that stores or processes PII of EU residents.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Definition of Data Security

Data security is a set of practices and processes deployed to protect data from a variety of circumstances, including unauthorized access, accidental loss, destruction, or corruption. It involves a wide array of methods and technologies that cater to the unique complexities of each organization's requirements. Examples of data security measures include; physical access controls to servers, Multi - factor Authentication requirements, Least - privilege access controls, Password complexity requirements, Data encryption Identification and remediation of stale Data While all organizations should have a data security strategy, process that is deployed ultimately will depend on the type of data organization maintains.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Cybersecurity

Confidentiality - prevents sensitive information from reaching the wrong people, while making sure that the right people can use it; integrity - maintains consistency, accuracy, and trustworthiness of information over its lifecycle; and availability - ensure that information is available when it is needed These are very often referred to as C - IA triad, and they all have to be address in order to achieve satisfactory level of information Security. Like many things in life where nothing is perfect, same goes for security; there is no such thing as a 100% secure system. There are only acceptable levels of risk. This means that in order to secure information, organization must first conduct formal risk assessment. Risk assessment will then be Cross - reference with organizations ' risk acceptance criteria and consequently, risk treatment plan can be develop. When you think about it, it makes sense - it would be very difficult to justify spending 100 euros to protect asset that only cost 10 euros.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Conclusion

While Data Privacy and Data Security are ultimately different, one thing should be clear - you cant have Data Privacy without having Data Security. Stealthbits can help to provide and streamline many of the functions necessary to Ensure Data Privacy through Data Security by helping to; discover repositories that contain data assets. Determine which of these repositories contain data that is personally identifiable. Ensure that proper data controls are in place by providing understanding of who has access to what, and how they are leveraging that access Identify most probable owner of Data Providing out of box governance workflows to allow Data owners to review sensitive Data and govern who has access to that Data Monitor For real - time threats, and respond as necessary Deploy policies to prevent unauthorized access to critical or sensitive Information

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Data Privacy Meets Data Security

The foundation of any privacy program is knowledge of all personal data held by organization. Dataguise provides detailed inventory of various data elements across different systems and formats. Whether in Data lakes, large databases, or document repositories, Dataguise can identify and classify personal data based on applicable policies. Policies can be created and customized by your organization, or you can leverage pre - built policies weve include for common PI / PII elements, such as those covered by PCI DSS, HIPAA, GDPR, or CCPA. Well before GDPR and CCPA, different Privacy regulations provided individuals with the right to see what information companies keep about them and ensure its accuracy. Today, this right is commonly referred to as Data Subject Access Request and requires a significant level of effort and cost to address. Dataguise automates this process, from obtaining initial Request to creation of a report that can be securely shared with individual Data Subject. Management of consentsthe choices that data subjects make, or permissions they give, for processing their datahas broad impact on Privacy Management. Different parts of organization may offer multiple opportunities for Data Processing, from sharing it with third parties to sending marketing communications. Accurately tracking these consents involves tracking choices made by more data subjects than those that commonly submit DSAR or ask for their data to be erase. Dataguise can help you identify identities accurately and consolidate consents in centralized view for easier consent management at enterprise level. Common privacy compliance requirement is that organization limit its use of personal information to purpose that was stated when information was collect. Dataguise is able to track key usage details that provide clear indication of scope creep when it comes to the purpose for which data was collect. Such details involve the nature of personal data in question, data subjects it describe, and systems that process datacan paint an accurate picture for privacy programs about this key compliance risk. Another enterprise level need for Privacy Management is staying on top of retention limits. Identifying data that can be archive or deleted is not only a compliance requirement but also a risk mitigation approach. Dataguise is able to track retention periods of database tables and documents and alert organizations on those that have reached the end of their retention period. Our Masking and Encryption capabilities can then be used to take additional action with relevant data. While Records of Processing Activities emerge from requirements of GDPRs Article 30, it is applicable in regulations outside of the European Economic Area. This accountability reporting tool was previously addrest with manually created data flows and interview - base business process narratives. Dataguise is first to provide automation for organizing necessary data points for providing ROPA for individual Processing Activities, increasing the accuracy of ROPA and cutting down on time and other costs.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Developing a Data Privacy Framework

As noted above, this Framework includes five new Control families that are broken out into individual categories and sub - categories. Nist also sprinkled in areas from other frameworks, such as detection requirements from CSF. Five categories can be summarized as follow: Develop understanding to effectively manage Privacy risks Create internal culture and corporate structure to support risk management and data governance Develop policies, procedures, and practices to effectively control and protect data Provide that communication channels are in place and regularly communicate with employees to ask questions and raise issues relate to Privacy and Data management Implement technical, administrative, and physical controls to Protect and maintain integrity of Data. These five categories share similar themes to the rest of NIST's Security Standards, emphasizing how Security and Privacy can work hand - in - hand to create safer and more efficient workflows. Organizations should be sure to work with a certified Privacy attorney when developing their Privacy program to provide that IT meets all legal requirements.


Adopting the NIST Privacy Framework

Enterprises should note, however, that the NIST Privacy Framework is not law or regulation, but rather a voluntary tool that can help organizations manage privacy risk arising from their products and services, as well as demonstrate compliance with laws that may affect them. It helps organizations identify privacy outcomes they want to achieve and then prioritize actions needed to do so. Privacy Framework 1. 0 has an overarching structure based on that of the widely used NIST Cybersecurity Framework, and the two frameworks are designed to be complementary and updated over time. Privacy and security are related but distinct concepts,. Merely adopting good security posture does not necessarily mean that an organization is addressing all its private needs. In practical terms, this means that privacy frameworks ' purpose is to help organizations manage privacy risks by: taking privacy into account as they design and deploy systems, products, and services that affect individuals; Communicating about their privacy practices Encouraging cross - organizational workforce collaboration, for example, among executives, legal, and information technology.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Introduction

As Cyberspace has become central to global information and communication infrastructure, security of Cyberspace has now become more urgent priority for corporations and governments around the world. Footnote 1 In fact, Digital Canada 150 Strategy, launched in April 2014, complements Canada's Cyber Security Strategy by making Protecting Canadians one of its five pillars. Footnote 2 According to 2010 document Canada's Cyber Security Strategy, Cyberspace is an electronic world created by interconnected networks of Information Technology and Information on those networks. It is global commons where there are more than 1. 7 billion people are linked together to exchange ideas, services and friendship. Footnote 3 term Cyber Security, though not defined in Strategy, is generally understood to encompass any measures taken to protect online information and secure infrastructure on which IT reside. Footnote 4 technologies that are ubiquitous, interconnect, and allow easy access to the Internet have become deeply integrated in everyday life. As a result, we increasingly depend on Cyberspace for social, economic and political interactions. The Web provides a platform for a whole range of critical infrastructure sectors and services, such as health care, food and water, finance, Information and communication Technology, public safety, energy and utilities, manufacturing, transportation and government. Footnote 5 Cyberspace connectivity augments all of these critical infrastructure sectors and is therefore vital to Canada's future economic growth. Footnote 6 At the same time, online environment has increasingly been subject to sophisticated and targeted threats; our ever - increasing reliance on Cyberspace is creating new and significant vulnerabilities. Footnote 7 This risk is magnified by a number of factors: More valuable electronic data is being stored and processed on a massive scale, much of IT in the cloud; powerful and portable computing devices such as smartphones, tablets and laptops are increasingly integrated into every aspect of our lives; Information is share, combine and link with other Information with greater frequency; and third - party relationships are norm. Unless all components are equally secure, entire system is vulnerable as cyber criminals are often skilled at exploiting weaknesses in Cyberspace. For example, in 2011, Canada suffered a significant security breach when computer systems of three key federal government departments were penetrate. Footnote 8 Although no personal information was known to have been compromised in the attack, hackers were able to steal highly sensitive documents and Force departments offline for months. Footnote 9 in 2012, Auditor General of Canada observed that the government's response to the 2011 breach revealed that systems were clearly vulnerable and good Information Security practices were not being consistently follow. Footnote 10 Auditor General also commented that implementation of the strategy had been slow to date, leaving the nation's capacity to secure Cyberspace extremely underdeveloped. Footnote 11 More recently, in 2014, much of the Cyber world had to deal with heartbleed, security bug which reveals vulnerability in commonly - used encryption.


1. Cyber Security Challenges

Online threats may be invisible but their effects are very real, and interconnect systems that are globally accessible are inherently vulnerable. As the scale of information flowing through cyberspace has expand, so too has its value to corporations, government,s and those with malicious intent. Our data trails now leave a larger footprint across cyberspace, leaving the US more exposed to threats. Footnote 21 Wherever there is an opportunity to profit, there is usually a market for criminal activity, but as Gabriella Coleman notes, there has also been professionalization of hacking Footnote 22 and cyber - crime, making these activities much more sophisticated. Footnote 23 State - sponsored Threats, conducted or condoned by nation State, are also becoming increasingly common. Footnote 24 These are sometimes referred to as Advanced Persistent Threats and are usually well educate, well - resourced adversaries who focus on theft of secrets, including intellectual property. Footnote 25 Ronald Deibert, Director of Canada Centre for Global Security Studies and Citizen Lab at Munk School of Global Affairs, University of Toronto, explains that cyber - crime is growing in frequency and complexity for several reasons: First, number of users coming online, including individuals, businesses, organizations, and governments is growing rapidly, creating growing baseline of potential targets. Second, ways in which we communicate and share information online have changed fundamentally over the last several years, with the growth of social networking, cloud computing and mobile forms of connectivity. We share more data with each other, entrust it to third parties outside our immediate control, and click on links and documents over social networking platforms and services with greater degree of frequency. Footnote 26 Third, he argues that because companies rarely disclose security breaches to the public for competitive and reputational reasons, there is limited information about how attacks are carried out, which could ultimately hinder cyber security efforts.


Data protection

The purpose of Data Protection is to define when and on what conditions personal data can be process. All data relating to identified or identifiable natural person is personal data. A controller is a person, company, authority or community that defines purposes and methods of processing personal data, whereas the processor is a third - party processing personal data on behalf of the controller. Data Protection regulations have existed for a relatively long time and more attention was raised by the new EU Regulation that became binding in all EU member states on 25 May 2018.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

See example in Figure 1.

Privacy is not state of information being protected from unauthorized access. Information is not private because unauthorized users are prevented from accessing data, but it is secure. People frequently conflate confidentiality - property that only authorized users can read protect information - with privacy. But as the access control matrix models clearly show, confidentiality is security policy. This is because confidentiality is determined by the system correctly enforcing read access rights in access control matrix. Spectrums of rights, such as where and when authorized access rights, appear in matrix. One can determine privacy by the ability of the owner to control who can access owners information. Control over access rights, which define privacy, is useless unless the system reliably enforces access rights. If there is no enforcement, granting and revoking access has no meaning. That is why there can be no privacy without data security. On the other hand, as Figure 3 shows, system can reliably enforce access rights in access control matrix and therefore be considered secure. However, information owners may have no ability to control who is authorized to access their data. If that is the case, then their data is not private.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Sources

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

logo

Plex.page is an Online Knowledge, where all the summaries are written by a machine. We aim to collect all the knowledge the World Wide Web has to offer.

Partners:
Nvidia inception logo

© All rights reserved
2021 made by Algoritmi Vision Inc.

If you believe that any of the summaries on our website lead to misinformation, don't hesitate to contact us. We will immediately review it and remove the summaries if necessary.

If your domain is listed as one of the sources on any summary, you can consider participating in the "Online Knowledge" program, if you want to proceed, please follow these instructions to apply.
However, if you still want us to remove all links leading to your domain from Plex.page and never use your website as a source, please follow these instructions.