What Is Data Leakage? Risks & Prevention

Common Causes of Data Leakage

When examining why data leakage occurs, it’s important to note both external factors and internal lapses. These causes often reveal how even small oversights in data protection can lead to severe outcomes:

• Human error: Misdelivery of emails, accidental sharing of files, or the mishandling of personally identifiable information (PII).
• Insufficient access controls: Poorly configured access control measures can grant unauthorized users the ability to view personal information they should not see.
• Social engineering tactics: Attackers may fool employees into surrendering credentials or sensitive files, often contributing to a wider data leak.
• Weak data security policies: Failing to update or audit data security guidelines, such as encryption data standards, can put organizations at risk.

The Business Impact of Data Leakage

The fallout from a data leakage often goes far beyond a simple incident report. From legal measures to public fallout, the effects can spiral quickly:

• Reputational damage: Public trust suffers when personal information or credit card numbers get exposed.
• Legal and regulatory consequences: Organizations may face hefty fines if they violate data protection regulations like the General Data Protection Regulation (GDPR).
• Financial loss: Expenses associated with remediation, identity theft monitoring, and potential lawsuits can skyrocket.
• Operational disruptions: Security teams might be forced to shift focus from their day-to-day tasks to handle what arises from a data leak.
• Increased risk of cyberattacks: A single leak can encourage further threats, such as ransomware attacks, as even fragmented insights can be leveraged against an organization.

High-Risk Activities Leading to Data Leakage

Certain activities heighten the likelihood of exposing personal data and leaving it vulnerable. Recognizing these is paramount to staying protected:

• BYOD and remote work: Personal devices, often lacking robust data security solutions, can inadvertently allow cybercriminals to gain access to corporate environments.
• Unsecured cloud file sharing: Sharing files in cloud environments with little monitoring or encryption data can lead to inadvertent disclosures.
• Mismanaged privileges: Employees with overly broad permissions can accidentally or intentionally access confidential data.
• Phishing attempts: Well-crafted phishing emails remain a powerful tool to trick employees into divulging passwords or sensitive documents.
• Email: Sensitive information sent via unencrypted or misdirected emails can easily be intercepted or accessed by unauthorized individuals.
• GenAI: Use of Generative AI tools without strict controls can result in unintentional exposure of proprietary or confidential information when users input sensitive data into these systems.

Data Leakage vs. Data Loss

One is an accidental or malicious revelation of information, while the other involves its permanent destruction or unavailability. Understanding these differences helps organizations reduce the risk of both scenarios.

Real-World Examples of Data Leakage

Recent years have shown multiple instances where large organizations struggled to prevent unauthorized access to personal data. These incidents highlight how critical a robust security posture truly is:

• Twitter data leak: In July 2022, Twitter confirmed that a vulnerability in its systems allowed attackers to compile a database of 5.4 million user profiles, including email addresses and phone numbers. The breach caused widespread concern over identity theft and forced the company to notify affected users and tighten its security protocols.
• T-Mobile breach: In January 2023, T-Mobile disclosed a data leak affecting 37 million customer accounts. Personal data including names, billing addresses, emails, and phone numbers was accessed by attackers. The incident led to reputational damage and renewed scrutiny over the company’s data protection measures.
• MOVEit data leak (Progress Software): In May 2023, the MOVEit file transfer platform suffered a data leak due to a zero day vulnerability. Numerous organizations, including government agencies and multinational corporations, had sensitive files exposed. The impact was global, causing operational disruption and regulatory investigations.
• 23andMe data exposure: In late 2023 and into 2024, genetic testing company 23andMe suffered a data leak where hackers scraped sensitive personal information, including ancestry data and raw genetic profiles, from millions of users. The company faced significant public backlash, legal action, and a loss of user trust.

Best Practices to Prevent Data Leakage

Protecting sensitive information and ensuring compliance with regulations like the GDPR require practical, continuous efforts. These steps help organizations develop a proactive strategy for safeguarding their data:

• Adopt data loss prevention (DLP) tools: Automated systems monitor outgoing traffic to prevent unauthorized access or improper file transfers.
• Implement strong access control: Role-based privileges ensure that only those who need specific data can see it, reducing accidental disclosures.
• Regular training: Employees must be educated on avoiding social engineering tricks and spotting red flags before a leak grows out of hand.
• Robust encryption data protocols: Encrypting files in transit and at rest makes it more difficult for intruders to capitalize on stolen information.
• Frequent audits and compliance checks: Verifying adherence to data protection regulations and general security policies keeps lapses at bay.

How Zscaler Helps You Prevent Data Leakage

Zscaler delivers a unified, cloud native security platform that proactively guards against data leakage by discovering, classifying, and protecting sensitive information across all channels, endpoints, and cloud environments. With advanced AI-powered data discovery and inline data loss prevention (DLP), Zscaler helps organizations overcome the pitfalls of legacy solutions and maintain compliance even in complex, distributed environments. Key benefits include:

• Centralized DLP policy enforcement ensures consistent data protection across web, email, endpoints, SaaS, and public cloud, reducing both complexity and risk.
• AI-driven data discovery and classification automatically identifies sensitive data and potential exposures, enabling faster response and fewer blind spots.
• Full TLS/SSL traffic inspection offers robust protection for encrypted data in motion, closing gaps left by traditional security tools.
• Integrated security posture management finds and remediates risky misconfigurations and shadow IT, strengthening your compliance and resilience.

See how Zscaler can transform your data security strategy—request a demo today.