Data Loss Prevention (DLP) Statistics


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Data Loss Prevention (Dlp) Statistics 2023: Facts about Data Loss Prevention (Dlp) outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Data Loss Prevention (Dlp), and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

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Top Data Loss Prevention (Dlp) Statistics 2023

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Data Loss Prevention (Dlp) “Latest” Statistics

  • Gartner anticipated that the whole data loss prevention market will reach $1.3 billion in 2020 in its 2017 Magic Quadrant for Enterprise DLP.[1]
  • According to Ocean Tomo’s Intangible Asset Market Value Study, the number of intangible assets increased from 17% to 84% of the S&P 500 market value between 1975 and 2015.[1]
  • In a 2017 ESG and ISSA study, 43% of respondents indicated that scarcity has hurt their firms. The gap is expected to worsen, with 3.5 million vacant security posts by 2021.[1]
  • According to one poll, 47% of small company owners consider data security to be their most difficult task, while 42% say preventing data loss keeps them awake at night.[2]
  • A data breach may easily cost more than $7 million per occurrence.[2]
  • According to studies, it takes an average of 191 days for organizations to notice data breaches.[3]
  • According to the HIPAA Journal, 70% of businesses will have experienced a public cloud data breach by 2020.[4]
  • According to the Verizon 2021 Data Breach Investigations Report, insiders were engaged in more than 20% of security breaches.[4]
  • According to the IBM Cost of a Data Breach Report 2021, the global average cost of a data breach increased from $3.86 million to $4.24 million in 2021.[4]
  • According to a survey, 98 percent of point-of-sale data breaches in the hotel industry would be financially driven by 2021.[5]
  • Web application breaches account for 43 percent of all breaches, according to the research, and have more than quadrupled since 2019.[5]
  • Small firms account for 28% of data breach victims, according to research.[5]
  • According to a survey, more than 80% of hacker breaches include brute force or the use of lost or stolen credentials.[5]
  • According to the survey, 56 percent of data breaches in the first half of 2018 were caused by social media data breaches.[5]
  • According to recent ESG and ISSA studies, 43% of firms polled are afflicted by a skills shortage in data security.[6]
  • According to Gartner, the DLP market will expand 63% from $1.29 billion in 2019 to $3.5 billion by the end of 2025.[6]
  • Users are increasingly uploading data to personal applications and instances before leaving an enterprise, up 33% from last year.[7]
  • In the first five months of 2022, the number of cloud applications used by a business increased by 35%, and more users were uploading, producing, sharing, or keeping data in those apps.[7]

Also Read

How Useful is Data Loss Prevention Dlp

At its core, DLP aims to monitor, detect, and prevent the unauthorized transmission of sensitive data both within and outside the organization. This can include personally identifiable information, financial data, intellectual property, and more. By identifying and blocking unauthorized data transfers, DLP solutions can help organizations maintain compliance with regulations like GDPR, HIPAA, and PCI-DSS while also protecting their valuable information from cyber threats.

Many proponents of DLP point to its ability to provide granular visibility into data movement across the network as a major benefit. By monitoring both structured and unstructured data, DLP solutions can alert administrators to potential data exfiltration attempts, whether intentional or accidental. This level of insight can help organizations identify and remediate security gaps before they result in a costly data breach.

Additionally, DLP can serve as a valuable tool in protecting intellectual property and trade secrets. By monitoring for the unauthorized sharing of proprietary information, organizations can safeguard their competitive advantage and prevent valuable assets from falling into the wrong hands. This can be especially important for industries like technology, pharmaceuticals, and manufacturing, where innovation and intellectual property are key drivers of success.

However, not everyone is convinced of the usefulness of DLP. Critics argue that DLP solutions can be notoriously difficult to implement and maintain, often requiring significant time and resources to configure properly. Additionally, DLP can sometimes be seen as a hindrance to employees, limiting their ability to collaboratively share information and forcing them to navigate complex security policies.

Furthermore, some question the efficacy of DLP in today’s ever-evolving threat landscape. With the rise of cloud services, mobile devices, and remote work, data is being accessed and shared in ways that traditional DLP solutions may not be able to effectively monitor. This can leave organizations vulnerable to data leaks and breaches, even with a DLP solution in place.

Ultimately, the usefulness of DLP depends on a variety of factors, including the organization’s specific needs, the data they are looking to protect, and the resources available for implementation and maintenance. While DLP can be a powerful tool in the fight against data loss, it is important for organizations to carefully consider whether it aligns with their goals and capabilities before investing in a solution.

Reference


  1. digitalguardian – https://digitalguardian.com/blog/what-data-loss-prevention-dlp-definition-data-loss-prevention
  2. nightfall – https://nightfall.ai/what-is-data-loss-prevention-dlp-and-how-does-it-work
  3. nira – https://nira.com/data-loss-prevention-statistics/
  4. spanning – https://spanning.com/blog/data-loss-prevention-dlp/
  5. webinarcare – https://webinarcare.com/best-data-loss-prevention-software/data-loss-prevention-statistics/
  6. exabeam – https://www.exabeam.com/dlp/data-loss-prevention-policies-best-practices-and-evaluating-dlp-software/
  7. netskope – https://www.netskope.com/platform/data-loss-prevention

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