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Rethinking Data Security Strategy: Why Data Classification Isn’t Getting You The Data Security You Hoped
What if we told you data classification was unnecessary? Read our blog to see how you can rethink your data security strategy.
Written by
Chris Dailey (CRO) & Hari Indukuri (CTO)
Published On
Jul 6, 2025



Across the IT and cybersecurity landscape, organizations are investing significant time, money, and human resources into data classification and tagging initiatives.
The rationale seems sound: We need to classify and label sensitive data first so we can properly protect it. This makes sense, right? But, what if this effort to classify your data is only delaying the time it takes to properly protect the data and worse yet, may result in never implementing policies to protect the data?
Below, we explain: (1) Why data classification is often not leading to better data protection in today’s risk environment. (2) How, if you are already in the midst of a data classification project, you can use these classifications to achieve better data security with less delays and user friction. (3) Why, if you haven’t started a data classification project, you may not need to, and can achieve better security more quickly and with less burden on your users and IT team.
What Are We Really Trying to Solve?
The objective of any data protection strategy is straightforward: to ensure sensitive data is not stolen, leaked, or misused, whether by:
Insider threats (malicious or negligent),
Ransomware attacks,
Or improper or insecure sharing with third parties.
Data classification doesn’t prevent any of these outcomes on its own.
The ultimate goal isn’t classification, it is making sure sensitive information is handled in a secure way. Classification is just a means to an end. Therefore, the critical question is: does classifying data consistently result in stronger protection?
In practice, the answer is often no. Without strong policies and persistent, automated safeguards applied directly to the data, classification alone leaves sensitive files exposed.
Defining Sensitive Data: We Already Know What Matters
Companies typically have a sense of what qualifies as sensitive data:
Data under legal or regulatory protection (e.g., CUI, PII, PHI).
Data whose theft would financially cripple the business (e.g., IP, contracts, product designs).
Data that, if lost or exposed, could cause reputational, legal, or human harm.
Most organizations already have a strong understanding of what types of their data fall into these categories. And most organizations have a good idea of where the vast majority of this data is stored. What they tend to be most insecure about is (1) the accessibility and security around all this data and (2) the percentage of sensitive data not being stored in the proper way or location.
Organizations seek to classify and tag data so they can ultimately implement policies that use these classifications to ensure every piece of sensitive data is handled in a compliant and secure way.
The Core Problems For Classifying Data
A solution that relies on data classification to ensure all sensitive files are secure must first make sure that every document is classified and tagged correctly. Unfortunately, this has two major problems. To classify the data you must rely on employees or an algorithm to determine what is sensitive.
Problem 1: Classification is inconsistent
Manual tagging relies on users. Employees often mistakenly mislabel or intentionally mislabel so that the classification does not create friction in their ability to use and share the data. Automated tagging is limited by pattern-matching and context inference, often producing false positives and negatives. Neither method guarantees complete or correct coverage. And just a 3% to 5% miscategorization will result in IT support tickets that can overwhelm the IT team and create a lot of business friction. Not to mention leaving critical data unsecure.
Problem 2: Classification adds operational drag
Building taxonomies, training users, integrating tagging tools, and maintaining classification policies introduce friction, delay, and cost, often without measurable risk reduction. It becomes a compliance checkbox, not a practical defense.
Problem 3: New data is created constantly
New sensitive data is generated daily by employees, contractors, and partners. Relying on a tagging process to catch it in real-time is unreliable and inefficient. If the tags are missing, misapplied, or ignored, the data becomes invisible to policy enforcement systems.
Problem 4: Classification is not a control
Tags are just metadata. On their own, they do nothing to stop a file from being emailed externally, shared to a personal Dropbox, or exfiltrated by malware.
Security Is Only As Effective As The Foundation
Classifying the data is only the first step toward implementing user policies that define who can access the data and how they can use it. These policies rely on the classifications being correct because if they are not, then sensitive data will be unprotected and people who should have legitimate access to certain information are now blocked from being able to access it.
Remember that 3% to 5% mis-categorization rate? Multiply this by the number of documents in your organizations and the number of people who need to access these documents and you can get an idea of how much work and friction will be created. The typical way of dealing with this problem is to avoid implementing policies that meaningfully control the access and use of the content. This results in diluting much of the security benefit, which was the original objective.
The core challenge of classifying accurately is the main reason why only 90% of those purchasing a traditional DLP solution, which relies on data classification and tagging, never implement policies to properly secure the data. This result is a tremendous amount of time, effort and cost to classify data but often still leaves the data unsecure.
File-Centric Security is an Alternative or Complement to Data Classification
A file-centric security solution offers a compelling alternative or complement to a strategy reliant on classifying data. It offers greater file security, lower cost, quicker speed to implement and less burdensome for users and IT teams. Here are some of the most compelling differences:
Key Benefits
Eliminates reliance on classification: Security is applied universally to any folder and file. Each file is secured using AES-256 encryption. Who can access files and how they can access them is programmed into the protection and is easily integrated into your existing Identity Access Management System.
Encryption by default: Files are encrypted at creation, and access is controlled at the file level.
Policy enforcement everywhere: Access rules, usage restrictions, and time-based controls travel with the file.
Speed to protection: Most organizations already know (1) which departments and (2) which folders have the bulk of their sensitive data. These folders can be protected in a matter of minutes or hours.
Leverage existing classifications: If you are already invested in classifying your data but struggling to implement security policies, file-centric security can be easily implemented by utilizing your classifications.
Transparent to Users and Easy on IT: Because there is no reliance on classification, file-centric security removes all of the false alerts and support tickets from users and IT.
With file-centric security, the question of "Is this file tagged correctly?" becomes irrelevant because every file is protected with less business friction.
Curious to learn more about how file-centric security differs from traditional DLP? Read this: File-Centric Security vs. DLP: What CISOs Need to Know
FenixPyre’s File-Centric Security Platform
FenixPyre provides a comprehensive file-centric security solution, enhancing data security through advanced file encryption and dynamic access controls in a platform that is easy to use, setup and manage:
Military-Grade Encryption: Utilizes FIPS 140-2 validated modules and AES-256 encryption, securing any file type, from standard office documents to specialized formats like CAD files.
Access Files Through Their Native App: Any file can be encrypted but with FenixPyre, no matter what the file type, encrypted files are accessed from their native application making the experience seamless to users.
Milliseconds of Latency: Encryption and decryption are optimized with no noticeable impact to the end-user.
Integrates with existing IT stack: FenixPyre integrates into your existing Identify and Access Management System to manage user permissions and security groups, offering automatic user provisioning and de-provisioning.
Strong and Performant Key Management: Every file is encrypted with a distinct file encryption key. File encryption keys are encrypted with a Customer Master Key that is hosted in a Hardware Security Module. Customers can manage their own HSM. File contents are zero-knowledge to anyone outside of the client’s access list, including the possible external data management or cloud hosting solution.
Comprehensive Compatibility: Supports encryption across various environments, including network shares, cloud storage platforms (SharePoint, AWS S3, Azure), and local file systems.
Real-Time Monitoring and Analytics: Integrates seamlessly with SIEM tools to provide real-time logs, behavioral analytics, anomaly detection, and proactive threat response capabilities, further enhancing organizational security posture.
Take a look at our recent article to learn more: Rethinking Your Security Investment (RoSI): Protecting Data, Not Just Networks
Conclusion: Protect the Data, Not the Label
It is hard to argue with the logic of first needing to classify data. But, as examined above, if your goal is data security then classifying the data may not be the best prerequisite to achieve this goal.
File-centric security provides a more secure and direct path to securing sensitive data. It also doesn’t just reduce risk, it redefines control. FenixPyre ensures your data stays protected no matter where it goes or who tries to access it.
Ready to secure what matters most?
View our resources below and see how file-centric security can transform your data protection strategy.
Connect with FenixPyre on LinkedIn
View our industry blog for more strategic insights
Talk to an expert to see how file-centric security can work for your business

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© 2018-2025 FenixPyre Inc, All rights reserved

solutions
7775 Walton Parkway
Suite 224
New Albany, OH 43054

© 2018-2025 FenixPyre Inc, All rights reserved