- Email: [email protected]
- Phone: +65 935 15400
![Data Loss vs Data Leak: What’s the Difference [Updated 2024]](https://www.craw.sg/wp-content/uploads/2023/03/craw-security-white-logo.png){kind=logo}
![Data Loss vs Data Leak: What’s the Difference [Updated 2024]](https://i0.wp.com/www.craw.sg/wp-content/uploads/2023/11/Data-Loss-vs-Data-Leak.webp?fit=800%2C400&ssl=1)
Data loss is the inadvertent deletion or unauthorized removal of confidential information, which can occur as a result of errors in information systems or via the actions of cybercriminals engaged in theft. Data leaks refer to the unauthorized disclosure of sensitive information that occurs as a result of vulnerabilities present within the digital environment.
The detection and remediation of data leaks pose a greater level of complexity, often manifesting at the interface of vital systems, both within an organization and beyond its vendor network.
In the field of cybersecurity, it is common to observe the misuse of the terms data leak, data breach, and data loss, as they are frequently employed interchangeably despite their distinct meanings. While there is some degree of overlap in their definitions, it is important to note that these phrases pertain to distinct events.
Prior to delving into the discourse surrounding Data Loss Prevention (DLP) and data leak cleanup solutions, it is imperative to first address the need for accurate terminology in order to alleviate any existing confusion.
In this article, we will study more about the various aspects of Data Loss vs Data Leak that will certainly assist us in understanding all the things about the same.
Data loss encompasses various scenarios, such as the inadvertent misplacement of sensitive data resulting in its irretrievability, as well as cases of data theft perpetrated through cyberattacks or insider threats, which fall under the category of cyber threats.
The confusion between these phrases often arises due to the overlapping nature of the latter description with the definition of a data breach.
The cost of downtime during a data loss disaster is around $4,500 per minute on average.
A data breach refers to the inadvertent disclosure of confidential data, whether it is in a state of rest or during the process of transmission. This phenomenon has the potential to manifest itself either in the digital realm of the internet or in the physical realm through the utilization of storage devices such as hard drives and laptops.
The classification of data breaches or ransomware attacks as data leaks occurs when sensitive material is unlawfully obtained and subsequently disclosed on the dark web.
A data breach transpires when confidential data is illicitly accessed or pilfered by those lacking proper authorization, typically perpetrated by cybercriminals.
Regrettably, data breaches are frequent incidents that impose significant economic difficulties. It is projected that the yearly global expenditure on data breaches in 2021 will amount to $6 trillion. The aforementioned quantity has experienced a twofold increase from $3 trillion in the year 2015.
Data loss prevention (DLP) refers to a collection of measures aimed at mitigating the transmission of sensitive data beyond a predetermined boundary limit. This objective can be accomplished by the utilization of data loss prevention software or the implementation of a security framework that regulates the transmission of confidential information between end-users and internal systems.
Data loss prevention (DLP) is not solely considered a security best practice; rather, it encompasses the safeguarding of customers’ Personal Identifiable Information (PHI). This imperative is reinforced by various regulatory standards, including but not limited to the Health Insurance Portability and Accountability Act (HIPAA), Payment Card Industry Data Security Standard (PCI-DSS), the Data Protection Act, General Data Protection Regulation (GDPR), and the recent cybersecurity executive order issued by President Biden.
Data breaches typically occur when firms inadvertently expose confidential information due to security weaknesses. These occurrences are generally not instigated by malicious cyber attackers.
In contrast, data breaches typically occur as a consequence of a cybercriminal’s tenacity in infiltrating valuable assets.
The potential consequences of data leaks may escalate to the level of data breaches. The identification of a data leak by individuals engaged in cyber criminal activities has the potential to furnish them with the requisite knowledge and insights to effectively carry out a data breach that achieves its objectives.
This underscores the criticality of promptly addressing data leaks.
Another distinguishing factor between these two occurrences lies in the level of public exposure confidence. When confidential information is illicitly obtained during a breach of data, it is typically disseminated on the dark web, thereby providing compelling proof of its widespread distribution.
In contrast, data leaks have the potential to persist for extended durations without the identification of individuals who may have accessed the information or the determination of whether it has been made publicly available.
The services provided by UpGuard include the provision of skilled analysts who engage in continuous monitoring of the dark web to identify instances of data leaks. This proactive approach helps alleviate concerns regarding the potential disclosure of sensitive material on criminal forums, thereby reducing anxiety among clients.
Data leaking can be classified into two main categories: ignored vulnerabilities and human components, due to the numerous occurrences that can potentially lead to such incidents.
Accidental occurrences are the most prevalent instances of data leaks, often transpiring beyond the purview of conventional information security protocols.
These could be:
The vulnerability of cybersecurity architectures is mostly attributed to the inherent weaknesses of human beings. By employing an appropriate methodology, it is possible to deceive any member of an organization’s personnel into unintentionally disclosing confidential credentials to those involved in cybercriminal activities.
Typically, this objective is accomplished through the utilization of phishing attacks, wherein a seemingly innocuous email or website containing infected links is delivered to a target individual. When individuals engage with these hyperlinks, employees inadvertently disclose confidential internal login credentials, potentially equipping malicious actors with the means to execute a catastrophic breach of data security.
In the event that cybercriminals gain access to even a single internal username, the potential for a data breach arises when combined with password-guessing techniques such as brute force approaches.
Data breaches can also occur due to irresponsible actions, such as the utilization of weak passwords and their storage in insecure locations, such as on a Post-it note, a mobile device, or a publicly accessible web document.
How to Prevent Data Leaks Caused by Human Elements?
In order to mitigate the risk of staff undermining investments made in security programs, it is imperative to introduce cyber awareness training within the workplace. This training aims to educate employees on identifying prevalent strategies employed by cybercriminals.
Each of the subsequent prevalent attack techniques is associated with a corresponding article that can serve as a valuable resource for raising awareness about cybercrime during training sessions.
Detecting intentional data leaks caused by insider threats can be challenging. In order to achieve a high level of accuracy, the utilization of behavioral analytics software driven by machine learning is necessary. These solutions are designed to identify potentially harmful actions by comparing them to a predetermined standard of secure conduct.
A more economically efficient strategy entails restricting the dissemination of sensitive information to individuals who possess an essential necessity for it. The security framework referred to in this context is commonly recognized as Privileged Access Management (PAM).
The classification of data breaches or ransomware attacks as data leaks occurs when sensitive material is unlawfully obtained and subsequently disclosed on the dark web.
The optimal strategies for Data Loss Prevention encompass comprehensive coverage of all forms of sensitive data, including data stored on servers and cloud storage, while considering both data at rest and data in transit.
Basic expectations include the installation of up-to-date antivirus software and the proper configuration of firewalls. Moreover, it is imperative to create a Data Loss Prevention (DLP) framework.
The following enumeration outlines the fundamental characteristics of a proficient Data Loss Prevention (DLP) framework:
About Data Loss vs Data Leak
1: What are the 4 types of DLP?
The four main DLP deployment architectures are:
2: What are the 3 types of data loss prevention?
Three types of data loss prevention are network DLP, endpoint DLP, and cloud DLP.
3: Is DLP data leak prevention or data loss prevention?
Data Loss Prevention (DLP) is a cybersecurity measure designed to identify and avert instances of unauthorized data access or disclosure, commonly referred to as data breaches. Organizations employ this technology to enhance internal security measures and ensure compliance with regulatory standards, as it effectively obstructs the extraction of sensitive data.
4: What is an example of DLP?
An Intrusion Detection System (IDS) has the capability to provide timely alerts in the event of unauthorized attempts by attackers to gain access to sensitive data, which is an example of DLP.
5: Why is DLP used?
Data Loss Prevention (DLP) is a cybersecurity measure designed to identify and mitigate instances of data breaches. Due to its capability to impede the extraction of sensitive data, companies employ it for the purpose of enhancing internal security measures and ensuring adherence to regulatory compliance standards.
In the bottom line, we would like to say that there are several differences between Data Loss and Data Leak; however, the term pretends to be almost identical. We have tried our level best to explain Data Loss Vs Data Leak in this article so far. If a person has developed a keen interest in understanding more about the same, then the same can opt for the 1 Year Industry Oriented Cyber Security Course by Craw Security, the Best Cybersecurity Training Institute in Singapore.
To get more info on the same trajectory or to opt for any other course, you can give us a call at our hotline mobile number, +65-93515400 in the round-the-clock facility.
Endpoint DLP, Network DLP, Discovery, and Cloud" } },{ "@type": "Question", "name": "What are the 3 types of data loss prevention?", "acceptedAnswer": { "@type": "Answer", "text": "Three types of data loss prevention are network DLP, endpoint DLP, and cloud DLP." } },{ "@type": "Question", "name": "Is DLP data leak prevention or data loss prevention?", "acceptedAnswer": { "@type": "Answer", "text": "Data Loss Prevention (DLP) is a cybersecurity measure designed to identify and avert instances of unauthorized data access or disclosure, commonly referred to as data breaches. Organizations employ this technology to enhance internal security measures and ensure compliance with regulatory standards, as it effectively obstructs the extraction of sensitive data." } },{ "@type": "Question", "name": "What is an example of DLP?", "acceptedAnswer": { "@type": "Answer", "text": "An Intrusion Detection System (IDS) has the capability to provide timely alerts in the event of unauthorized attempts by attackers to gain access to sensitive data, which is an example of DLP." } },{ "@type": "Question", "name": "Why is DLP used?", "acceptedAnswer": { "@type": "Answer", "text": "Data Loss Prevention (DLP) is a cybersecurity measure designed to identify and mitigate instances of data breaches. Due to its capability to impede the extraction of sensitive data, companies employ it for the purpose of enhancing internal security measures and ensuring adherence to regulatory compliance standards." } }] }
Craw Cyber Security is a leading cyber security training and consulting firm based in Singapore. They offer a wide range of courses and services to help individuals and organizations protect themselves against cyber threats.
Copyright @ 2023 Craw Cyber Security. All Rights Reserved.
Privacy Policy
Refund and Return Policy
Disclaimer