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Erstellt: 26.08.22, 11:49 Betreff: What is Data security? Types, Methods
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Data Security Definition Data security is the controls, policies, and procedures that have been applied to secure personal data stored within the company and safeguard it against security incidents and data breaches. Data Security DefinitionWhat is a security incident? A security incident can happen because of the failure of any technical or organizational measures taken by your business. For instance, failure of the firewall, error in the access and role concept, lack of password protection, malware access, data leakage, or breach of internal security regulations. A security incident can be technical or physical, or both. What is a data breach? A data breach is a security incident that has resulted in any accidental or unlawful destruction, alteration, loss, disclosure of, or access to personal information. It can be accidental or deliberate data loss and may lead to considerable harm to the data subject, covering emotional distress. Why Is Data Security Important? Information protection The most significant purpose of data security technologies is to protect personal information. Such sensitive data like health information can have a tangible adverse effect on the data subject if it’s breached, and thereby, it merits additional protection. Why Is Data Security Important Reputation improvement Companies that are known to secure their data and have efficient security controls in place can have confidence among their stakeholders. Most firms want to express themselves as socially responsible organizations in the international market so that they can attract investors and business partners effectively. Hence, a business’s reputation is essential for long-term development. And building strong data security will help organizations win customer trust and gain reputation in the world’s market. Cost-saving A company can save a lot of money arising from a data breach if robust security controls are applied at an early stage. Compliance standards Organizations now need to ensure they are securing their data to keep compliance with national and international regulations, including the EU’s General Data Protection Regulation. Read more on Data Security Best Practices 4 Types of Data Security Data masking Data masking means creating a fake but still realistic version of your data. Thanks to that, companies can use data masking for user training, developing or testing applications, and sales demo and still be able to protect sensitive data. 4 Methods of Data Security Encryption Encryption is a way to convert data and information into secret codes. Only authorized users with the encryption keys can read the data. Database encryption solutions work like a defense for storing sensitive data by obscuring it with encryption or tokenization. Data resiliency Data resiliency refers to the ability of a company to recover from any failure or problem, for example sudden power shortage that shuts down systems or hardware malfunction. It’s important for companies to recover quickly to reduce the impact. Data erasure Data erasure is often understood as data wiping and data clearing, but more than just deleting data, data erasure employs software to overwrite data completely. This ensures that others cannot recover that data. Data Security Strategies for Big & Small Enterprises Cybersecurity is critical for major corporations, but then when breaches occur, such consequences do not always result in data security reform. Fines, refunds, and other reparations may not always result in the type of financial harm required to motivate greater security. In certain circumstances, huge corporations suffer a cost yet fail to enact real change. Consider the case of Target. Target’s 2013 system breach, which exposed credit cards, debit cards, and customers’ Personally Identifiable Information (PII), cost the firm around USD 105 million, or less than 1% of the company’s 2014 revenues. Data Security Strategies for Big & Small Enterprises Data security management for big & small enterprises So, what motivates large corporations to prioritize security? Investor confidence and consumer perception both have a significant impact on how businesses run. Customers expect trustworthy companies, and investors want consistency, at least with regards to profitability. This means that, while penalties or legal problems can be avoided by enhancing security, the true loss organizations risk by failing to appropriately protect data is a loss of long-term customer bases and investment in future innovation. This is in contrast to small enterprises, which may fail due to large penalties and may not engage in public trade. According to a 2018 corporate security report, threat actors are turning their focus to smaller enterprises. Smaller businesses, believing they are less at risk, have fewer data security procedures in place. Because of this new tendency, most of the cyber industry has prioritized small business data protection over large enterprise data security. Despite the changing threat landscape, large enterprises must continue to evaluate and improve current data security procedures. data scientist in malaysia
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