Today, one of the most valuable assets an organization holds is data. Yet, this vulnerable asset is constantly at risk of data leakage. Data ranging from customer information to business-critical strategic data, including sensitive data, is constantly traversing across a complex web of data channels that open doors for malicious actors to eavesdrop and exploit vulnerabilities.
Whether data is at rest or in transit, organizations today need to address data leakage as an inferior data security posture can compromise business integrity and heighten the risk of compliance violations. All it takes is a single data breach incident to cripple an organization’s hard-earned reputation and incur serious regulatory penalties.
Despite widespread recognition of this, addressing data leakage often remains a reactive approach rather than a proactive strategy. This guide helps organizations discover what data leakage is, common causes, types, consequences, and how to prevent data leakage.
What is Data Leakage?
Data leakage is an organization’s worst nightmare, where sensitive, confidential, or proprietary data exists outside the organization’s environment and gets exposed to the public. The leak could include data residing in on-premises and cloud environments, and whether it is at rest, in transit, or in use.
Data leakage differs from a data breach, where malicious attackers infiltrate an organization’s secure environment and obtain access to sensitive data. Data leakages are often subtle and don’t necessarily require external attackers to penetrate an organization’s environment. They usually occur due to insider lapses, such as an employee accidentally sharing files, a misconfigured cloud storage bucket, or malicious insiders extracting valuable data.
What’s worrying about data leakages is that they are often invisible and are usually detected once they escalate into compliance violations, reputational crises, or direct financial loss.
Common Causes of Data Leakage
Here are some of the common causes of data leakage:
A. Human Error
Humans are considered the weakest link in the cybersecurity chain. About 68% of breaches in a 2024 survey were caused by human factors, such as someone being tricked by a social engineering scam or making an error. In 2023, this number was 74%. Common data leakage mistakes include sending sensitive data to the unintended recipient, misconfiguring a database, mishandling access controls, or improper data disposal.
B. Weak Security Measures
Security isn’t a switch that can be switched on or a one-off investment; it’s a continuous process that requires onboarding of the latest security equipment and measures that bolster your data security posture against evolving threats. Poor security measures leave room for error and attract third parties.
A device with outdated software provides a loophole for malicious actors to pry, as it doesn’t contain the latest patches and updates to rule out entry points. Additionally, unsecured data with inferior encryption standards makes it convenient for the intruder to leverage data. Lack of access controls amplifies vulnerabilities, exposing sensitive data and resulting in data leakages.
Configuring data buckets can be a complex process, especially when it involves multiple storage classes and bucket types. Sensitive data can get accidentally left accessible for unauthorized individuals to cloud storage services like Amazon S3, Google Cloud, etc.
D. Insider Threats
Data leakages may be purposefully done by disgruntled employees or contractors who have access to sensitive data. They can do this by snooping around devices that contain confidential files and sharing them with third parties for personal gain or espionage. They may also share credentials with outsiders, making it difficult to identify the insider involved.
E. Malware and Cyber Attacks
Apart from insiders, data is susceptible to data breaches as a result of social engineering attacks. It is a common tactic used by malicious actors to deceive authorized individuals, like employees, into exposing sensitive data. Cybercriminals frequently employ deceit, such as pretending to be an IT department employee or coworker and making up an excuse to give access credentials.
Additionally, a rogue actor can send out a malicious email with files attached that contain malware. An employee may download the file thinking it’s safe. However, that malware may end up logging sensitive information, resulting in a massive data leak. On the other hand, an unsecure and unencrypted data bucket may fall victim to a cyber attack, exposing data.
Types of Data Leakage
Here are some of the common causes of data leakage:
A. Accidental Data Leakage
Similar to human error, accidental data leakages are unintentional in nature and typically result from inadequate security protocols and negligence.
B. Intentional Data Leakage
Unlike accidental data leakages, which are unintentional, an intentional data leakage is often carried out deliberately by disgruntled employees or malicious insiders with the clear aim of conducting data theft.
C. Systematic Data Leakage (Technical Vulnerabilities)
Legacy systems, outdated software, and shadow data stores with vulnerable security and inadequate authentication procedures attract malicious actors to take advantage. As cloud architectures multiply, misconfigured, insecure APIs are becoming a more significant risk vector and may inadvertently disclose sensitive data.
Consequences of Data Leakage
Data leakage can have far-reaching implications that extend beyond an organization’s premises, including:
A. Financial Loss
It’s no secret that a data leak can impact an organization’s financial resources. From the lack of consumer revenue due to mistrust to more severe implications, including compliance violations, penalties, investigations, legal proceedings, lawsuits, etc. According to IBM, the average cost of a data leak is a whopping $4.88 million.
B. Reputation Damage
Apart from financial repercussions, the next thing that takes a major hit is an organization’s reputation. A single data leak/data breach pushes back years’ worth of credibility, significantly impacting existing and any future contracts as well as revenue streams.
Some organizations may never recover from this phase and shut down altogether. For others, reputation management needs excessive resources and already-restrained financial reserves.
C. Legal Consequences and Penalties
A data leak isn’t a come-and-go incident. Apart from attracting malicious actors, it pulls in regulatory bodies and oversight authorities tasked with imposing severe penalties (up to €20 million, or up to 4% total global turnover under GDPR), sanctions, excessive scrutiny, and long-term restrictions.
How to Prevent Data Leakage
Preventing data leakage should be the top priority for organizations actively engaged in handling sensitive data. Here are some of the best practices to prevent data leakage:
A. Employee Training and Awareness
Organizations should invest in educating all stakeholders involved in handling sensitive data. The training module should include industry best practices, leading security and data loss prevention techniques, knowledge of evolving data privacy laws that mandate strict security measures, and how manual resources can minimize human error.
B. Implementing Strong Security Protocols
There’s no prevention without a robust data security posture. Strong security protocols should be implemented, such as state-of-the-art encryption, role-based access controls, and zero-trust models that strengthen the security posture against both internal and external threats.
C. Regular Audits and Monitoring
Conducting regular assessments, audits, and monitoring of security systems helps identify vulnerabilities before they can be exploited. Engage in conducting audits and patching vulnerabilities as soon as they are identified. It’s crucial to have a proactive approach rather than a reactive approach, which could escalate a data leakage.
DLP solutions are designed specifically to address the issue of unauthorized data transmission through the proactive monitoring of endpoints, emails, cloud applications, and connected networks for personal identifiers or intellectual property. Consequently, this prevents such data assets from leaking outside the organization.
DLP enforcement involves a combination of data handling and management policies designed to prevent data breaches. Integration with modern AI-based analytic solutions improves its accuracy while greatly reducing instances of false positives. It can be of particular importance in highly regulated industries such as finance, healthcare, and cybersecurity, where data resources must be protected with extreme diligence.
Automate Compliance with Securiti
A data leak can be detrimental to an organization. Fortunately, Securiti provides a robust Data Security Posture Management automation that helps organizations gain comprehensive insight into the security posture of their data assets, whether on premises, cloud, or spanning multi-cloud environments.
This enables the automatic identification and remediation of misconfigurations, ensuring that your sensitive data stays protected and does not result in data leakage.
Request a demo to learn more about Securiti DSPM.
