Data misuse is one of the hardest\u2011to\u2011detect threats for modern organizations: authorized users access information legitimately and then use it for unauthorized or harmful purposes. Misuse of information can result in data breaches, reputational damage, regulatory fines, and loss of competitive advantage. <\/p>\n\n\n\n
Read this article to get four actionable measures for detecting and preventing misuse of information. You’ll also learn how a modern PAM platform with ITDR, such as Syteca, can help you gain visibility and control over how sensitive data is actually used.<\/p>\n\n\n\n
Key takeaways:<\/strong><\/p>\n\n\n\n Data misuse<\/strong> is the use of any information outside its permitted, authorized, or intended purpose. Permitted use is often defined by laws, industry standards, contracts, corporate policies, and user agreements. <\/p>\n\n\n\n Data misuse is often associated with employee data theft<\/a> and data exfiltration<\/a>. However, information does not have to leave the organization to be misused. An employee who reads a customer record without a business need, a team that reuses research data for marketing, or a contractor who retains files after a project can all misuse data.<\/p>\n\n\n\n In some cases, data misuse can lead to a data breach<\/strong> \u2013 a security incident in which information is exposed, lost, or altered. In many cases, misuse precedes a breach. For example, copying sensitive files to a USB stick for personal use is data misuse; losing or having it stolen leads to a breach.<\/p>\n\n\n\n There is a strong correlation between types of data misuse and the reasons behind them. The most common types of misuse of information include:<\/p>\n\n\n\n\t\t Types of data misuse<\/p>\n\n\n\n\t\t Data misuse for personal gain<\/p>\n\n\n\t\t\t \n\t\t<\/div>\n\t\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Data misuse due to carelessness<\/p>\n\n\n\t\t\t \n\t\t<\/div>\n\t\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Data commingling<\/p>\n\n\n\t\t\t \n\t\t<\/div>\n\t\n \n\t\t\t\n\t\t<\/div>\n\t\n \n\t\t<\/div>\n\t\n\n\t\t\t \n\t\t<\/div>\n\t\n\n\n This type of data misuse involves exploiting sensitive data for one\u2019s own benefit, often at the expense of the organization, its customers, or partners. Examples include: <\/p>\n\n\n\n Such misuse of data can result in financial losses, reputational damage, and the loss of your organization\u2019s competitive advantage.<\/p>\n\n\n\n Negligence, carelessness, or lack of proper training can also lead to data misuse. This includes: <\/p>\n\n\n\n Poor data protection practices, such as a lack of encryption or improper cloud storage configuration, can also lead to data breaches.<\/p>\n\n\n\n Ponemon\u2019s 2026 Cost of Insider Risks research highlights that negligence now accounts for more than half of insider incidents, costing organizations an average of $10.3 million annually. <\/p>\n\n\n\n Commingling occurs when an organization collects personal data for a specific purpose and then reuses that data for another purpose in ways that violate consent or data protection principles. Examples include:<\/p>\n\n\n\n Under regulations such as the GDPR<\/a>, personal data must be used only for the purposes explicitly communicated to data subjects. Misuse of personal data through commingling can lead to regulatory fines, lawsuits, and long\u2011term erosion of trust. <\/p>\n\n\n\n Data misuse can often go undetected for extended periods, and its consequences can cause major damage to organizations.<\/p>\n\n\n\n The impact of data misuse depends on the information involved, the user’s intent, and the duration of the harmful activity. One incident can trigger several categories of loss.<\/p>\n\n\n\n\t\t Negative consequences of data misuse<\/p>\n\n\n\n\t\t Regulatory fines and legal penalties<\/p>\n\n\n\t\t\t \n\t\t<\/div>\n\t\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Financial and operational recovery costs<\/p>\n\n\n\t\t\t \n\t\t<\/div>\n\t\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Reputational damage and loss of trust<\/p>\n\n\n\t\t\t \n\t\t<\/div>\n\t\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Loss of competitive advantage<\/p>\n\n\n\t\t\t \n\t\t<\/div>\n\t\n \n\t\t\t\n\t\t<\/div>\n\t\n \n\t\t<\/div>\n\t\n\n\t\t\t \n\t\t<\/div>\n\t\n\n\n Misuse of personal information can lead to investigations and fines under data protection laws such as the GDPR<\/a>, CCPA, HIPAA<\/a>, and some sector\u2011specific regulations. <\/p>\n\n\n\n In Europe and other regions, frameworks such as NIS2<\/a> and DORA<\/a> explicitly tie data misuse risks to broader operational resilience and incident reporting obligations. <\/p>\n\n\n\n Organizations may need to investigate the incident, notify affected people, provide identity protection, reimburse losses, restore systems, obtain legal advice, and disrupt employees\u2019 normal work. Ponemon\u2019s 2026 Cost of Insider Risks report estimates average annual insider-incident costs at $19.5 million. <\/p>\n\n\n\n Speed is an important factor: organizations that contain incidents in under 30 days lose, on average, $14.2 million, compared with $21.9 million when containment takes more than 90 days.<\/p>\n\n\n\n Misuse of information, especially personal data, can quickly ruin the trust of customers, employees, and partners. High\u2011profile incidents involving sensitive personal data or insider leaks also often lead to reservations among partners and investors.<\/p>\n\n\n\n Once a company is associated with data abuse or misuse of personal information, reputational repair often takes years and requires demonstrable changes in governance, security, and privacy practices.<\/p>\n\n\n\n Misused trade secrets, product plans, source code, pricing data, and customer lists can help competitors replicate an offering or target the same clients. The affected organization may lose years of research and market edge while spending resources on investigation and remediation rather than innovation.<\/p>\n\n\n\n In the following section, we analyze four real-world data misuse cases and the negative impact they had on organizations.<\/p>\n\n\n\n Affected entity<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Coinbase <\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n \n\t\t<\/div>\n\t\n\n\n\t\t Incident type<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Support personnel bribed to commit customer data theft<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n \n\t\t<\/div>\n\t\n\n\n\t\t Consequences<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t In May 2025<\/a>, Coinbase received an email from threat actors claiming they had obtained information about Coinbase customer accounts and demanding a $20 million<\/a> ransom. Cybercriminals paid several Coinbase employees to retrieve information from internal systems they were authorized to use for customer support. <\/p>\n\n\n\n The stolen information included contact details, images of government IDs, partial financial identifiers, account balances, and transaction histories. The attackers then used this information for social-engineering schemes and attempted to extort Coinbase.<\/p>\n\n\n\n Coinbase estimated remediation and voluntary customer reimbursements at $180 million to $400 million. <\/p>\n\n\n\n Affected entity<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t The London Clinic<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n \n\t\t<\/div>\n\t\n\n\n\t\t Incident type<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Deliberate misuse of medical data by an insider<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n \n\t\t<\/div>\n\t\n\n\n\t\t Consequences<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t On June 17, 2026<\/a>, the UK Information Commissioner’s Office concluded and disclosed an investigation into a former healthcare professional who unlawfully obtained and disclosed medical information to a third party, and offered to disclose highly sensitive personal information for financial gain. The individual accepted a formal caution upon admitting guilt under the UK Data Protection Act.<\/p>\n\n\n\n The official ICO statement does not identify the patient, but allegedly, the targeted information concerned Catherine, Princess of Wales, who had undergone treatment at the London Clinic.<\/p>\n\n\n\n Affected entity<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Rippling<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n \n\t\t<\/div>\n\t\n\n\n\t\t Incident type<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Corporate espionage and insider data theft<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n \n\t\t<\/div>\n\t\n\n\n\t\t Consequences<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t In April 2025<\/a>, a former Rippling employee admitted in a court affidavit that he had spied on Rippling<\/a> while secretly working for rival HR platform Deel. He reportedly accessed confidential sales pipeline data and internal customer interactions in Slack and then passed this information to the competitor in return for monthly payments.<\/p>\n\n\n\n The employee’s own spying activity is supported by his affidavit. However, the broader accusations against Deel and its executives remain the subject of litigation and investigation.<\/p>\n\n\n\n Affected entity<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t General Motors<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n \n\t\t<\/div>\n\t\n\n\n\t\t Incident type<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t Data commingling and unauthorized third-party data sharing<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n \n\t\t<\/div>\n\t\n\n\n\t\t Consequences<\/p>\n\n \n\t\t\t\n\t\t<\/div>\n\t\n\n\n\t\t\n
What is data misuse?<\/h2>\n\n\n\n
Data misuse vs. data breaches<\/h3>\n\n\n\n
What are the types of data misuse?<\/h2>\n\n\n\n
Data misuse for personal gain<\/h3>\n\n\n\n
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Data misuse due to carelessness<\/h3>\n\n\n\n
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Data commingling<\/h3>\n\n\n\n
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What are the consequences of data misuse?<\/h2>\n\n\n\n
Regulatory fines and legal penalties<\/h3>\n\n\n\n
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Financial and operational recovery costs<\/h3>\n\n\n\n
Reputational damage and loss of trust<\/h3>\n\n\n\n
Loss of competitive advantage<\/h3>\n\n\n\n
4 major real-world examples of data misuse<\/h2>\n\n\n\n
Case #1: Coinbase support agents bribed into stealing customer data<\/h3>\n\n\n\n\t\t
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Case #2: London Clinic worker offered sensitive medical information for sale <\/h3>\n\n\n\n\t\t
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Case #3: Rippling\u2013Deel corporate espionage<\/h3>\n\n\n\n\t\t
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Case #4: General Motors\u2019 unauthorized sale of driving data<\/h3>\n\n\n\n\t\t