All Resources
In this article:
minus iconplus icon
Share the Blog

Understanding Data Movement to Avert Proliferation Risks

April 10, 2024
4
 Min Read
Data Sprawl

Understanding the perils your cloud data faces as it proliferates throughout your organization and ecosystems is a monumental task in the highly dynamic business climate we operate in. Being able to see data as it is being copied and travels, monitor its activity and access, and assess its posture allows teams to understand and better manage the full effect of data sprawl. 

It ‘connects the dots’ for security analysts who must continually evaluate true risks and threats to data so they can prioritize their efforts. Data similarity and movement are important behavioral indicators in assessing and addressing those risks. This blog will explore this topic in depth.

What Is Data Movement

Data movement is the process of transferring data from one location or system to another – from A to B. This transfer can be between storage locations, databases, servers, or network locations. Copying data from one location to another is simple, however, data movement can get complicated when managing volume, velocity, and variety.

  • Volume: Handling large amounts of data.
  • Velocity: Overseeing the pace of data generation and processing.
  • Variety: Managing a variety of data types.

How Data Moves in the Cloud

Data is free and can be shared anywhere. The way organizations leverage data is an integral part of their success. Although there are many business benefits to moving and sharing data (at a rapid pace), there are also many concerns that arise, mainly dealing with privacy, compliance, and security. Data needs to move quickly, securely, and have the proper security posture at all times.  

These are the main ways that data moves in the cloud:

1. Data Distribution in Internal Services: Internal services and applications manage data, saving it across various locations and data stores.

2. ETLs: Extract, Transform, Load processes, involve combining data from multiple sources into a central repository known as a data warehouse. This centralized view supports applications in aggregating diverse data points for organizational use.

3. Developer and Data Scientist Data Usage: Developers and data scientists utilize data for testing and development purposes. They require both real and synthetic data to test applications and simulate real-life scenarios to drive business outcomes.

4. AI/ML/LLM and Customer Data Integration: The utilization of customer data in AI/ML learning processes is on the rise. Organizations leverage such data to train models and apply the results across various organizational units, catering to different use-cases.

What Is Misplaced Data

"Misplaced data" refers to data that has been moved from an approved environment to an unapproved environment. For example, a folder that is stored in the wrong location within a computer system or network. This can result from human error, technical glitches, or issues with data management processes. 

When unauthorized data is stored in an environment that is not designed for the type of data, it can lead to data leaks, security breaches, compliance violations, and other negative outcomes.

With companies adopting more cloud services, and being challenged with properly managing the subsequent data sprawl, having misplaced data is becoming more common, which can lead to security, privacy, and compliance issues.

The Challenge of Data Movement and Misplaced Data

Organizations strive to secure their sensitive data by keeping it within carefully defined and secure environments. The pervasive data sprawl faced by nearly every organization in the cloud makes it challenging to effectively protect data, given its rapid multiplication and movement.

It is encouraged for business productivity to leverage data and use it for various purposes that can help enhance and grow the business. However, with the advantages, come disadvantages. There are risks to having multiple owners and duplicate data..

To address this challenge, organizations can leverage the analysis of similar data patterns to gain a comprehensive understanding on how data flows within the organization and help security teams first get visibility of those movement patterns, and then identify whether this movement is authorized. Then they can protect it accordingly and understand which unauthorized movement should be blocked.

This proactive approach allows them to position themselves strategically. It can involve ensuring robust security measures for data at each location, re-confining it by relocating, or eliminating unnecessary duplicates. Additionally, this analytical capability proves valuable in scenarios tied to regulatory and compliance requirements, such as ensuring GDPR - compliant data residency.

 Identifying Redundant Data and Saving Cloud Storage Costs

The identification of similarities empowers Chief Information Security Officers (CISOs) to implement best practices, steering clear of actions that lead to the creation of redundant data.

Detecting redundant data helps reduce cloud storage costs and drive up operational efficiency from targeted and prioritized remediation efforts that focus on the critical data risks that matter. 

This not only enhances data security posture, but also contributes to a more streamlined and efficient data management strategy.

“Sentra has helped us to reduce our risk of data breaches and to save money on cloud storage costs.”

-Benny Bloch, CISO at Global-e

Security Concerns That Arise

  1. Data Security Posture Variations Across Locations: Addressing instances where similar data, initially secure, experiences a degradation in security posture during the copying process (e.g., transitioning from private to public, or from encrypted to unencrypted).
  1. Divergent Access Profiles for Similar Data: Exploring scenarios where data, previously accessible by a limited and regulated set of identities, now faces expanded access by a larger number of identities (users), resulting in a loss of control.
  1. Data Localization and Compliance Violations: Examining situations where data, mandated to be localized in specific regions, is found to be in violation of organizational policies or compliance rules (with GDPR as a prominent example). By identifying similar sensitive data, we can pinpoint these issues and help users mitigate them.
  1. Anonymization Challenges in ETL Processes: Identifying issues in ETL processes where data is not only moved but also anonymized. Pinpointing similar sensitive data allows users to detect and mitigate anonymization-related problems.
  1. Customer Data Migration Across Environments: Analyzing the movement of customer data from production to development environments. This can be used by engineers to test real-life use-cases.
  2. Data Data Democratization and Movement Between Cloud and Personal Stores: Investigating instances where users export data from organizational cloud stores to personal drives (e.g., OneDrive) for purposes of development, testing, or further business analysis. Once this data is moved to personal data stores, it typically is less secure. This is due to the fact that these personal drives are less monitored and protected, and in control of the private entity (the employee), as opposed to the security/dev teams. These personal drives may be susceptible to security issues arising from misconfiguration, user mistakes or insufficient knowledge.

How Sentra’s DSPM Helps Navigate Data Movement Challenges

  1. Discover and accurately classify the most sensitive data and provide extensive context about it, for example:
  • Where it lives
  • Where it has been copied or moved to
  • Who has access to it
  1. Highlight misconfigurations by correlating similar data that has different security posture. This helps you pinpoint the issue and adjust it according to the right posture.
  2. Quickly identify compliance violations, such as GDPR - when European customer data moves outside of the allowed region, or when financial data moves outside a PCI compliant environment.
  3. Identify access changes, which helps you to understand the correct access profile by correlating similar data pieces that have different access profiles.

For example, the same data is well kept in a specific environment and can be accessed by 2 very specific users. When the same data moves to a developers environment, it can then be accessed by the whole data engineering team, which exposes more risks.

Leveraging Data Security Posture Management (DSPM) and Data Detection and Response (DDR) tools proves instrumental in addressing the complexities of data movement challenges. These tools play a crucial role in monitoring the flow of sensitive data, allowing for the swift remediation of exposure incidents and vulnerabilities in real-time. The intricacies of data movement, especially in hybrid and multi-cloud deployments, can be challenging, as public cloud providers often lack sufficient tooling to comprehend data flows across various services and unmanaged databases. 

Our innovative cloud DLP tooling takes the lead in this scenario, offering a unified approach by integrating static and dynamic monitoring through DSPM and DDR. This integration provides a comprehensive view of sensitive data within your cloud account, offering an updated inventory and mapping of data flows. Our agentless solution automatically detects new sensitive records, classifies them, and identifies relevant policies. In case of a policy violation, it promptly alerts your security team in real time, safeguarding your crucial data assets.

In addition to our robust data identification methods, we prioritize the implementation of access control measures. This involves establishing Role-based Access Control (RBAC) and Attribute-based Access Control (ABAC) policies, so that the right users have permissions at the right times.

Identifying data movement with Sentra

Identifying Data Movement With Sentra

Sentra has developed different methods to identify data movements and similarities based on the content of two assets. Our advanced capabilities allow us to pinpoint fully duplicated data, identify similar data, and even uncover instances of partially duplicated data that may have been copied or moved across different locations. 

Moreover, we recognize that changes in access often accompany the relocation of assets between different locations. 

As part of Sentra’s Data Security Posture Management (DSPM) solution, we proactively manage and adapt access controls to accommodate these transitions, maintaining the integrity and security of the data throughout its lifecycle.

These are the 3 methods we are leveraging:

  1. Hash similarity - Using each asset unique identifier to locate it across the different data stores of the customer environment.
  2. Schema similarity - Locate the exact or similar schemas that indicated that there might be similar data in them and then leverage other metadata and statistical methods to simplify the data and find necessary correlations.
  3. Entity Matching similarity - Detects when parts of files or tables are copied to another data asset. For example, an ETL that extracts only some columns from a table into a new table in a data warehouse. 

Another example would be if PII is found in a lower environment, Sentra could detect if this is real or mock customer PII, based on whether this PII was also found in the production environment.

PII found in a lower environment

Conclusion

Understanding and managing data sprawl are critical tasks in the dynamic business landscape. Monitoring data movement, access, and posture enable teams to comprehend the full impact of data sprawl, connecting the dots for security analysts in assessing true risks and threats. 

Sentra addresses the challenge of data movement by utilizing advanced methods like hash, schema, and entity similarity to identify duplicate or similar data across different locations. Sentra's holistic Data Security Posture Management (DSPM) solution not only enhances data security but also contributes to a streamlined data management strategy. 

The identified challenges and Sentra's robust methods emphasize the importance of proactive data management and security in the dynamic digital landscape.

To learn more about how you can enhance your data security posture, schedule a demo with one of our experts.

Ran is a passionate product and customer success leader with over 12 years of experience in the cybersecurity sector. He combines extensive technical knowledge with a strong passion for product innovation, research and development (R&D), and customer success to deliver robust, user-centric security solutions. His leadership journey is marked by proven managerial skills, having spearheaded multidisciplinary teams towards achieving groundbreaking innovations and fostering a culture of excellence. He started at Sentra as a senior product manager, and is currently Sentra's senior technical account manager in NYC.

Subscribe

Latest Blog Posts

Yoav Regev
Yoav Regev
January 15, 2025
3
Min Read

The Importance of Data Security for Growth: A Blueprint for Innovation

The Importance of Data Security for Growth: A Blueprint for Innovation

“For whosoever commands the sea commands the trade; whosoever commands the trade of the world commands the riches of the world, and consequently the world itself.” — Sir Walter Raleigh.

For centuries, power belonged to those who ruled the seas. Today, power belongs to those who control and harness their data’s potential. But let’s face it—many organizations are adrift, overwhelmed by the sheer volume of data and rushing to keep pace in a rapidly shifting threatscape. Navigating these waters requires clarity, foresight, and the right tools to stay afloat and steer toward success. Sound familiar? 

In this new reality, controlling data now drives success. But success isn’t just about collecting data, it’s about being truly data-driven. For modern businesses, data isn’t just another resource. Data is the engine of growth, innovation, and smarter decision-making. Yet many leaders still grapple with critical questions:

  • Are you really in control of your data?
  • Do you make decisions based on the insights your data provides?
  • Are you using it to navigate toward long-term success?

In this blog, I’ll explore why mastering your data isn’t just a strategic advantage—it’s the foundation of survival in today’s competitive market - Data is the way to success and prosperity in an organization. I’ll also break down how forward-thinking organizations are using comprehensive Data Security Platforms to navigate this new era where speed, innovation, and security can finally coexist.

The Role of Data in Organizational Success

Data drives innovation, fuels growth, and powers smart decision-making. Businesses use data to develop new products, improve customer experiences, and maintain a competitive edge. But let’s be clear, collecting vast amounts of data isn’t enough. True success comes from securing it, understanding it, and putting it to work effectively.

If you don’t fully understand or protect your data, how valuable can it really be?

Organizations face a constant barrage of threats: data breaches, shadow data, and excessive access permissions. Without strong safeguards, these vulnerabilities don’t just pose risks—they become ticking time bombs.

For years, controlling and understanding your data was impossible—it was a complex, imprecise, expensive, and time-consuming process that required significant resources. Today, for the first time ever, there is a solution. With innovative approaches and cutting-edge technology, organizations can now gain the clarity and control they need to manage their data effectively!

With the right approach, businesses can transform their data management from a reactive process to a competitive advantage, driving both innovation and resilience. As data security demands grow, these tools have evolved into something much more powerful: comprehensive Data Security Platforms (DSPs). Unlike basic solutions, you can expect a data security platform to deliver advanced capabilities such as enhanced access control, real-time threat monitoring, and holistic data management. This all-encompassing approach doesn’t just protect sensitive data—it makes it actionable and valuable, empowering organizations to thrive in an ever-changing landscape.

Building a strong data security strategy starts with visionary leadership. It’s about creating a foundation that not only protects data but enables organizations to innovate fearlessly in the face of uncertainty.

The Three Key Pillars for Securing and Leveraging Data

1. Understand Your Data

The foundation of any data security strategy is visibility. Knowing where your data is stored, who has access to it, and what sensitive information it contains is essential. Data sprawl remains a challenge for many organizations. The latest tools, powered by automation and intelligence, provide unprecedented clarity by discovering, classifying, and mapping sensitive data. These insights allow businesses to make sharper, faster decisions to protect and harness their most valuable resource.

Beyond discovery, advanced tools continuously monitor data flows, track changes, and alert teams to potential risks in real-time. With a complete understanding of their data, organizations can shift from reactive responses to proactive management.

2. Control Your Data

Visibility is the first step; control is the next. Managing access to sensitive information is critical to minimizing risk. This involves identifying overly broad permissions and ensuring that access is granted only to those who truly need it.

Having full control of your data becomes even more challenging when data is copied or moved between environments—such as from private to public or from encrypted to unencrypted. This process creates "similar data," in which data that was initially secure becomes exposed to greater risk by being moved into a lower environment. Data that was once limited to a small, regulated group of identities (users) then becomes accessible by a larger number of users, resulting in a significant loss of control.

Effective data security strategies go beyond identifying these issues. They enforce access policies, automate corrective actions, and integrate with identity and access management systems to help organizations maintain a strong security posture, even as their business needs change and evolve. In addition to having robust data identification methods, it’s crucial to prioritize the implementation of access control measures. This involves establishing Role-based Access Control (RBAC) and Attribute-based Access Control (ABAC) policies, so that the right users have permissions at the right times.

3. Monitor Your Data

Real security goes beyond awareness—it demands a dynamic approach. Real-time monitoring doesn’t just detect risks and threats; it anticipates them. By spotting unusual behaviors or unauthorized access early, businesses can preempt incidents and maintain trust in an increasingly volatile digital environment. Advanced tools provide visibility into suspicious activities, offer real-time alerts, and automate responses, enabling security teams to act swiftly. This ongoing oversight ensures that businesses stay resilient and adaptive in an ever-changing environment.

Being Fast and Secure

In today’s competitive market, speed drives success—but speed without security is a recipe for disaster. Organizations must balance rapid innovation with robust protection.

Modern tools streamline security operations by delivering actionable insights for faster, more informed risk responses. A comprehensive Data Security Platform goes further by integrating security workflows, automating threat detection, and enabling real-time remediation across multi-cloud environments. By embedding security into daily processes, businesses can maintain agility while protecting their most critical assets.

Why Continuous Data Security is the Key to Long-Term Growth

Data security isn’t a one-and-done effort—it’s an ongoing commitment. As businesses scale and adopt new technologies, their data environments grow more complex, and security threats continue to evolve. Organizations that continuously understand and control their data are poised to turn uncertainty into opportunity. By maintaining this control, they sustain growth, protect trust, and future-proof their success.

Adaptability is the foundation of long-term success. A robust data security platform evolves with your business, providing continuous visibility, automating risk management, and enabling proactive security measures. By embedding these capabilities into daily operations, organizations can maintain speed and agility without compromising protection.

In today’s data-driven world, success hinges on making informed decisions with secure data. Businesses that master continuous data security will not only safeguard their assets but also position themselves to thrive in an ever-changing competitive landscape.

Conclusion: The Critical Link Between Data Security and Success

Data is the lifeblood of modern businesses, driving growth, innovation, and decision-making. But with this immense value comes an equally immense responsibility: protecting it. A comprehensive data security platform goes beyond the basics, unifying discovery, classification, access governance, and real-time protection into a single proactive approach. True success in a data-driven world demands more than agility—it requires mastery. Organizations that embrace data security as a catalyst for innovation and resilience are the ones who will lead the way in today’s competitive landscape.

The question is: Will you lead the charge or risk being left behind? The opportunity to secure your future starts now.

Final thought: In my work with organizations across industries, I’ve seen firsthand how those who treat data security as a strategic enabler, rather than an obligation, consistently outperform their peers. The future belongs to those who lead with confidence, clarity, and control.

If you're interested in learning how Sentra's Data Security Platform can help you understand and protect your data to drive success in today’s competitive landscape, request a demo today.

Read More
Yair Cohen
Yair Cohen
January 13, 2025
4
Min Read
Data Security

Automating Sensitive Data Classification in Audio, Image and Video Files

Automating Sensitive Data Classification in Audio, Image and Video Files

The world we live in is constantly changing. Innovation and technology are advancing at an unprecedented pace. So much innovation and high tech. Yet, in the midst of all this progress, vast amounts of critical data continue to be stored in various formats, often scattered across network file shares network file shares or cloud storage. Not just structured documents—PDFs, text files, or PowerPoint presentations - we're talking about audio recordings, video files, x-ray images, engineering charts, and so much more.

How do you truly understand the content hidden within these formats? 

After all, many of these files could contain your organization’s crown jewels—sensitive data, intellectual property, and proprietary information—that must be carefully protected.

Importance of Extracting and Understanding Unstructured Data

Extracting and analyzing data from audio, image and video files is crucial in a data-driven world. Media files often contain valuable and sensitive information that, when processed effectively, can be leveraged for various applications.

  • Accessibility: Transcribing audio into text helps make content accessible to people with hearing impairments and improves usability across different languages and regions, ensuring compliance with accessibility regulations.
  • Searchability: Text extraction enables indexing of media content, making it easier to search and categorize based on keywords or topics. This becomes critical when managing sensitive data, ensuring that privacy and security standards are maintained while improving data discoverability.
  • Insights and Analytics: Understanding the content of audio, video, or images can help derive actionable insights for fields like marketing, security, and education. This includes identifying sensitive data that may require protection, ensuring compliance with privacy regulations, and protecting against unauthorized access.
  • Automation: Automated analysis of multimedia content supports workflows like content moderation, fraud detection, and automated video tagging. This helps prevent exposure of sensitive data and strengthens security measures by identifying potential risks or breaches in real-time.
  • Compliance and Legal Reasons: Accurate transcription and content analysis are essential for meeting regulatory requirements and conducting audits, particularly when dealing with sensitive or personally identifiable information (PII). Proper extraction and understanding of media data help ensure that organizations comply with privacy laws such as GDPR or HIPAA, safeguarding against data breaches and potential legal issues.

Effective extraction and analysis of media files unlocks valuable insights while also playing a critical role in maintaining robust data security and ensuring compliance with evolving regulations.

Cases Where Sensitive Data Can Be Found in Audio & MP4 Files

In industries such as retail and consumer services, call centers frequently record customer calls for quality assurance purposes. These recordings often contain sensitive information like personally identifiable information (PII) and payment card data (PCI), which need to be safeguarded. In the media sector, intellectual property often consists of unpublished or licensed videos, such as films and TV shows, which are copyrighted and require protection with rights management technology. However, it's common for employees or apps to extract snippets or screenshots from these videos and store them on personal drives or in unsecured environments, exposing valuable content to unauthorized access.

Another example is when intellectual property or trade secrets are inadvertently shared through unsecured audio or video files, putting sensitive business information at risk - or simply a leakage of confidential information such as non-public sales figures for a publicly traded company. Serious damage can occur to a public company if a bad actor got a hold of an internal audio or video call recording in advance where forecasts or other non-public sales figures are discussed. This would likely be a material disclosure requiring regulatory reporting (ie., for SEC 4-day material breach compliance).

Discover Sensitive Data in MP4s and Audio with Sentra

AI-powered technologies that extract text from images, audio, and video are built on advanced machine learning models like Optical Character Recognition (OCR) and Automatic Speech Recognition (ASR)

OCR converts visual text in images or videos into editable, searchable formats, while ASR transcribes spoken language from audio and video into text. These systems are fueled by deep learning algorithms trained on vast datasets, enabling them to recognize diverse fonts, handwriting, languages, accents, and even complex layouts. At scale, cloud computing enables the deployment of these AI models by leveraging powerful GPUs and scalable infrastructure to handle high volumes of data efficiently. 

The Sentra Cloud-Native Platform integrates tools like serverless computing, distributed processing, and API-driven architectures, allowing it to access these advanced capabilities that run ML models on-demand. This seamless scaling capability ensures fast, accurate text extraction across the global user base.

Sentra is rapidly adopting advancements in AI-driven text extraction. A few examples of recent advancements are Optical Character Recognition (OCR) that works seamlessly on dynamic video streams and robust Automatic Speech Recognition (ASR) models capable of transcribing multilingual and domain-specific content with high accuracy. Additionally, innovations in pre-trained transformer models, like Vision-Language and Speech-Language models, enable context-aware extractions, such as identifying key information from complex layouts or detecting sentiment in spoken text. These breakthroughs are pushing the boundaries of accessibility and automation across industries, and enable data security and privacy teams to achieve what was previously thought impossible.

Large volume of sensitive data was copied into a shared drive
Data at Risk - Data Activity Overview

Sentra: An Innovator in Sensitive Data Discovery within Video & Audio

Sentra’s innovative approach to sensitive data discovery goes beyond traditional text-based formats, leveraging advanced ML and AI algorithms to extract and classify data from audio, video, and images. Extracting and understanding unstructured data from media files is increasingly critical in today’s data-driven world. These files often contain valuable and sensitive information that, when properly processed, can unlock powerful insights and drive better decision-making across industries. Sentra’s solution contextualizes multimedia content to highlight what matters most for your unique needs, delivering instant answers with a single click—capabilities we believe set us apart as the only DSPM solution offering this level of functionality.

As threats continue to evolve across multiple vectors, including text, audio, and video—solution providers must constantly adopt new techniques for accurate classification and detection. AI plays a critical role in enhancing these capabilities, offering powerful tools to improve precision and scalability. Sentra is committed to driving innovation by leveraging these advanced technologies to keep data secure.

Want to see it in action? Request a demo today and discover how Sentra can help you protect sensitive data wherever it resides, even in image and audio formats.

Read More
Team Sentra
Team Sentra
December 9, 2024
3
Min Read
Data Security

8 Holiday Data Security Tips for Businesses

8 Holiday Data Security Tips for Businesses

As the end of the year approaches and the holiday season brings a slight respite to many businesses, it's the perfect time to review and strengthen your data security practices. With fewer employees in the office and a natural dip in activity, the holidays present an opportunity to take proactive steps that can safeguard your organization in the new year. From revisiting access permissions to guarding sensitive data access during downtime, these tips will help you ensure that your data remains protected, even when things are quieter.

Here's how you can bolster your business’s security efforts before the year ends:

  1. Review Access and Permissions Before the New Year
    Take advantage of the holiday downtime to review data access permissions in your systems. Ensure employees only have access to the data they need, and revoke permissions for users who no longer require them (or worse, are no longer employees). It's a proactive way to start the new year securely.
  2. Limit Access to Sensitive Data During Holiday Downtime
    With many staff members out of the office, review who has access to sensitive data. Temporarily restrict access to critical systems and data for those not on active duty to minimize the risk of accidental or malicious data exposure during the holidays.
  3. Have a Data Usage Policy
    With the holidays bringing a mix of time off and remote work, it’s a good idea to revisit your data usage policy. Creating and maintaining a data usage policy ensures clear guidelines for who can access what data, when, and how, especially during the busy holiday season when staff availability may be lower. By setting clear rules, you can help prevent unauthorized access or misuse, ensuring that your data remains secure throughout the holidays, and all the way to 2025.
  4. Eliminate Unnecessary Data to Reduce Shadow Data Risks
    Data security risks increase as long as data remains accessible. With the holiday season bringing potential distractions, it's a great time to review and delete any unnecessary sensitive data, such as PII or PHI, to prevent shadow data from posing a security risk as the year wraps up with the new year approaching.
  5. Apply Proper Hygiene to Protect Sensitive Data
    For sensitive data that must exist, be certain to apply proper hygiene such as masking/de-identification, encryption, logging, etc., to ensure the data isn’t improperly disclosed. With holiday sales, year-end reporting, and customer gift transactions in full swing, ensuring sensitive data is secure is more important than ever. Many stores have native tools that can assist (e.g., Snowflake DDM, Purview MIP, etc.).
  6. Monitor Third-Party Data Access
    Unchecked third-party access can lead to data breaches, financial loss, and reputational damage. The holidays often mean new partnerships or vendors handling seasonal activities like marketing campaigns or order fulfillment. Keep track of how vendors collect, use, and share your data. Create an inventory of vendors and map their data access to ensure proper oversight, especially during this busy time.
  7. Monitor Data Movement and Transformations
    Data is dynamic and constantly on the move. Monitor whenever data is copied, moved from one environment to another, crosses regulated perimeters (e.g., GDPR), or is ETL-processed, as these activities may introduce new sensitive data vulnerabilities. The holiday rush often involves increased data activity for promotions, logistics, and end-of-year tasks, making it crucial to ensure new data locations are secure and configurations are correct.
  8. Continuously Monitor for New Data Threats
    Despite our best protective measures, bad things happen. A user’s credentials are compromised. A partner accesses sensitive information. An intruder gains access to our network. A disgruntled employee steals secrets. The holiday season’s unique pressures and distractions increase the likelihood of these incidents. Watch for anomalies by continually monitoring data activity and alerting whenever suspicious things occur—so you can react swiftly to prevent damage or leakage, even amid the holiday bustle. A user’s credentials are compromised. A partner accesses sensitive information. An intruder gains access to our network. A disgruntled employee steals secrets. Watch for these anomalies by continually monitoring data activity and alerting whenever suspicious things occur - so you can react swiftly to prevent damage or leakage.

Wrapping Up the Year with Stronger Data Security

By taking the time to review and update your data security practices before the year wraps up, you can start the new year with confidence, knowing that your systems are secure and your data is protected. Implementing these simple but effective measures will help mitigate risks and set a strong foundation for 2025. Don't let the holiday season be an excuse for lax security - use this time wisely to ensure your organization is prepared for any data security challenges the new year may bring.

Visit Sentra's demo page to learn more about how you can ensure your organization can stay ahead and start 2025 with a stronger data security posture.

Read More
decorative ball