Data Theft: How Big a Problem? Explore the scale of data theft and its consequences for organizations. Discover common methods of data breaches and the most vulnerable industries. Get global statistical insights and learn practical ways to protect data. by Игорь Григорьев The Scale of Data Theft 1 Millions of Records 2 Financial Losses 3 Intellectual Property Data breaches result in Organizations face Data theft extends the exposure of millions substantial financial beyond personal of user records, losses due to data information, with valuable compromising their breaches, including legal intellectual property being personal information and fees, compensation, and targeted and stolen by putting them at risk of damage to their hackers. identity theft. reputation. Methods of Data Breaches 1 Social Engineering Hackers exploit human vulnerabilities, such as phishing, pretexting, or impersonation, to gain unauthorized access to sensitive data. 2 Malware Attacks Malicious software, including ransomware, trojans, and spyware, is used to infiltrate systems and steal valuable data. 3 Insider Threats Employees or trusted individuals with access to sensitive data can intentionally or accidentally cause data breaches. Most Vulnerable Industries Banking & Finance Healthcare E-commerce Cloud Computing The financial industry Healthcare Online retailers store Providers of cloud faces a high risk of organizations store customers' personal computing services data breaches due to extensive patient data, and financial data, store vast amounts of the large volume of making them attractive making them customer data, making sensitive customer targets for hackers susceptible to data them a target for information and the seeking personal breaches and potential hackers seeking potential financial gains information to sell on financial losses. valuable information. for hackers. the dark web. Global Statistical Insights Data Breaches Financial Losses 2018 15.2 billion $2.8 trillion 2019 16.7 billion $3.5 trillion 2020 20.4 billion $4.2 trillion Ways to Protect Data Encryption Multi-factor Authentication Regular Auditing strong encryption algorithms, Add an extra layer of security identify vulnerabilities, assess reducing the chances of by requiring multiple forms of security protocols, and ensure unauthorized access. authentication to access compliance with data sensitive data. protection regulations. Protect sensitive data with Perform regular audits to Practical Recommendations 1 Employee Education 2 Regular Updates 3 Data Backup Train employees on data Keep software and Regularly back up data to security best practices, systems up-to-date with mitigate the impact of including recognizing the latest security patches data loss or ransomware phishing attempts and to prevent exploitation of attacks. using secure passwords. known vulnerabilities.