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

Why Legacy Data Classification Tools Don't Work Well in the Cloud (But DSPM Does)

September 7, 2023
5
 Min Read
Data Security

Data security teams are always trying to understand where their sensitive data is. Yet this goal has remained out of reach for a number of reasons.

The main difficulty is creating a continuously updated data catalog of all production and cloud data. Creating this catalog would involve:

  1.  Identifying everyone in the organization with knowledge of any data stores, with visibility into its contents
  1. Connecting a data classification tool to these data stores
  1. Ensure there’s network connectivity by configuring network and security policies
  1. Confirm that business-critical production systems using each data source won’t be negatively affected, causing damage to performance or availability

Having a process this complex requires a major investment of resources, long workflows, and will still probably not provide the full coverage organizations are looking for. Many so-called successful implementations of such solutions will prove unreliable and too difficult to maintain after a short period of time.

Another pain with a legacy data classification solution is accuracy. Data security professionals are all too aware of the problem of false positives (i.e. wrong classification and data findings) and false negatives (i.e. missing classification of sensitive data that remains unknown). This is mainly due to two reasons. 

  • Legacy classification solutions rely solely on patterns, such as regular expressions, to identify sensitive data, which falls short in both unstructured data and structured data. 
  • These solutions don’t understand the business context around the data, such as how it is being used, by whom, for what purposes and more.

Without the business context, security teams can’t get any actionable items to remove or protect sensitive data against data risks and security breaches.

Lastly, there’s the reason behind high operational costs. Legacy data classification solutions were not built for the cloud, where each data read/write and network operation has a price tag. The cloud also offers a much more cost efficient data storage solution and advanced data services that causes organizations to store much more data than they did before moving to the cloud. On the other hand, the public cloud providers also offer a variety of cloud-native APIs and mechanisms that can extremely benefit a data classification and security solution, such as automated backups, cross account federation, direct access to block storage, storage classes, compute instance types, and much more. However, legacy data classification tools, that were not built for the cloud, will completely ignore those benefits and differences, making them an extremely expensive solution for cloud-native organizations.

DSPM: Built to Solve Data Classification in the Cloud 

These challenges have led to the growth of a new approach to securing cloud data - Data Security Posture Management, or DSPM. Sentra’s DSPM  is able to provide full coverage and an up-to-date data catalog with classification of sensitive data, without any complex deployment or operational work involved. This is achieved thanks to a cloud-native agentless architecture, using cloud-native APIs and mechanisms.

A good example of this approach is how Sentra’s DSPM architecture leverages the public cloud mechanism of automated backups for compute instances, block storage, and more. This allows Sentra to securely run a full discovery and classification technology from within the customer’s premises, in any VPC or subscription/account of the customer’s choice. This offers a number of benefits:

  1. The organization does not need to change any existing infrastructure configuration, network policies, or security groups.
  1. There’s no need to provide individual credentials for each data source in order for Sentra to discover and scan it.
  1. There is never a performance impact on the actual workloads that are compute-based/bounded, such as virtual machines, that run in production environments. In fact, Sentra’s scanning will never connect via network or application layers to those data stores.

Another benefit of a DSPM built for the cloud is classification accuracy.  Sentra’s DSPM provides an unprecedented level of accuracy thanks to more modern and cloud-native capabilities.This starts with advanced statistical relevance for structured data, enabling our classification engine to understand with high confidence that sensitive data is found within a specific column or field, without scanning every row in a large table.

Sentra leverages even more advanced algorithms for key-value stores and document databases. For unstructured data, the use of AI and LLM -based algorithms unlock tremendous accuracy in understanding and detecting sensitive data types by understanding the context within the data itself. Lastly, the combination of data-centric and identity-centric security approaches provides greater context that allows Sentra’s users to know what actions they should take to remediate data risks when it comes to classification.

Here are two examples of how we apply this context:

1. Different Types of Databases

Personal Identifiable Information (PII) that is found in a database in which only users from the Analytics team have access to, is often a privacy violation and a data risk. On the other hand, PII that is found in a database that only three production microservices have access to is expected,  but requires the data to be isolated within a secure VPC. 

2. Different Access Histories

If 100 employees have access to a sensitive shadow data lake, but only 10 people have actually accessed it in the last year. In this case, the solution would be to reduce permissions and implement stricter access controls. We’d also want to ensure that the data has the right retention policy, to reduce both risks and storage costs. Sentra’s risk score prioritization engine takes multiple data layers into account, including data access permissions, activity, sensitivity, movement and misconfigurations, giving enterprises greater visibility and control over their data risk management processes

Finally, with regards to costs, Sentra’s Data Security Posture Management (DSPM) solution utilizes innovative features that make its scanning and classification solution about two or three orders of magnitude more cost efficient than legacy solutions. The first is the use of smart sampling, where Sentra is able to cluster multiple data units that share the same characteristics, and using intelligent sampling with statistical relevance, understand what sensitive data exists within such data assets that are grouped automatically. This is extremely powerful especially when dealing with data lakes that are often the size of dozens of petabytes, without compromising the solution coverage and accuracy.

Second, Sentra’s modern architecture leverages the benefits of cloud ephemeral resources, such as snapshotting and ephemeral compute workloads with a cloud-native orchestration technology that leverages the elasticity and the scale of the cloud. Sentra balances its resource utilization with the needs of the customer's business, providing advanced scan settings that are built and designed for the cloud. This allows teams to optimize cost according to their business needs, such as determining the frequency and sampling of scans, among more advanced features.

To summarize:

  1. Given the current macroeconomic climate, CISOs should find DSPMs like Sentra as an opportunity to increase their security and minimize their costs
  2. DSPM solutions like Sentra bring an important context - awareness to security teams and tools, allowing them to do better risk management and prioritization by focusing on whats important
  3. Data is likely to continue to be the most important asset of every business, as more organizations embrace the power of the cloud. Therefore, a DSPM will be a pivotal tool in realizing the true value of the data while ensuring it is always secured
  4. Accuracy is key and AI is an enabler for a good data classification tool

Yair brings a wealth of experience in cybersecurity and data product management. In his previous role, Yair led product management at Microsoft and Datadog. With a background as a member of the IDF's Unit 8200 for five years, he possesses over 18 years of expertise in enterprise software, security, data, and cloud computing. Yair has held senior product management positions at Datadog, Digital Asset, and Microsoft Azure Protection.

Subscribe

Latest Blog Posts

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.

Read More
Romi Minin
Romi Minin
December 5, 2024
3
Min Read
Data Security

Top Data Security Resolutions

Top Data Security Resolutions

As we reflect on 2024, a year marked by a surge in cyber attacks, we are reminded of the critical importance of prioritizing data security. Widespread breaches in various industries, such as the significant Ticketmaster data breach impacting 560 million users, have highlighted vulnerabilities and led to both financial losses and damage to reputations. In response, regulatory bodies have imposed strict penalties for non-compliance, emphasizing the importance of aligning security practices with industry-specific regulations.

By September 2024, GDPR fines totaled approximately €2.41 billion, significantly surpassing the total penalties issued throughout 2023. This reflects stronger enforcement across sectors and a heightened focus on data protection compliance. Entering 2025, the dynamic threat landscape demands a proactive approach. Technology's rapid advancement and cybercriminals' adaptability require organizations to stay ahead. The importance of bolstering data security cannot be overstated, given potential legal consequences, reputational risks, and disruptions to business operations that a data breach can cause.

The data security resolutions for 2025 outlined below serve as a guide to fortify defenses effectively. Compliance with regulations, reducing attack surfaces, governing data access, safeguarding AI models, and ensuring data catalog integrity are crucial steps. Adopting these resolutions enables organizations to navigate the complexities of data security, mitigating risks and proactively addressing the evolving threat landscape.

Adhere to Data Security and Compliance Regulations

The first data security resolution you should keep in mind is aligning your data security practices with industry-specific data regulations and standards. Data protection regulatory requirements are becoming more stringent (for example, note the recent SEC requirement of public US companies for notification within 4 days of a material breach). Penalties for non compliance are also increasing.

With explosive growth of cloud data it is incumbent upon regulated organizations to facilitate effective data security controls and to while keeping pace with the dynamic business climate. One way to achieve this is through adopting Data Security Posture Management (DSPM) which automates cloud-native discovery and classification, improving accuracy and reporting timeliness. Sentra supports more than a dozen leading frameworks, for policy enforcement and streamlined reporting.

Reduce Attack Surface by Protecting Shadow Data and Enforcing Data Lifecycle Policies

As cloud adoption accelerates, data proliferates. This data sprawl, also known as shadow data, brings with it new risks and exposures. When a developer moves a copy of the production database into a lower environment for testing purposes, do all the same security controls and usage policies travel with it? Likely not. 

Organizations must institute security controls that stay with the data - no matter where it goes. Additionally, automating redundant, trivial, obsolete (ROT) data policies can offload the arduous task of ‘policing’ data security, ensuring data remains protected at all times and allowing the business to innovate safely. This has an added bonus of avoiding unnecessary data storage expenditure.

Implement Least Privilege Access for Sensitive Data

Organizations can reduce their attack surface by limiting access to sensitive information. This applies equally to users, applications, and machines (identities). Data Access Governance (DAG) offers a way to implement policies that alert on and can enforce least privilege data access automatically. This has become increasingly important as companies build cloud-native applications, with complex supply chain / ecosystem partners, to improve customer experience. DAG often works in concert with IAM systems, providing added context regarding data sensitivity to better inform access decisions. DAG is also useful if a breach occurs - allowing responders to rapidly determine the full impact and reach (blast radius) of an exposure event to more quickly contain damages.

Protect Large Language Models (LLMs) Training by Detecting Security Risks

AI holds immense potential to transform our world, but its development and deployment must be accompanied by a steadfast commitment to data integrity and privacy. Protecting the integrity and privacy of data in Large Language Models (LLMs) is essential for building responsible and ethical AI applications. By implementing data protection best practices, organizations can mitigate the risks associated with data leakage, unauthorized access, and bias/data corruption. Sentra's Data Security Posture Management (DSPM) solution provides a comprehensive approach to data security and privacy, enabling organizations to develop and deploy LLMs with speed and confidence.

Ensure the Integrity of Your Data Catalogs

Enrich data catalog accuracy for improved governance with Sentra's classification labels and automatic discovery. Companies with data catalogs (from leading providers such as Alation, Collibra, Atlan) and data catalog initiatives struggle to keep pace with the rapid movement of their data to the cloud and the dynamic nature of cloud data and data stores. DSPM automates the discovery and classification process - and can do so at immense scale - so that organizations can accurately know at any time what data they have, where it is located, and what its security posture is. DSPM also provides usage context (owner, top users, access frequency, etc.) that enables validation of information in data catalogs, ensuring they remain current, accurate, and trustworthy as the authoritative source for their organization. This empowers organizations to maintain security and ensure the proper utilization of their most valuable asset—data!

How Sentra’s DSPM Can Help Achieve Your 2025 Data Security Resolutions

By embracing these resolutions, organizations can gain a holistic framework to fortify their data security posture. This approach emphasizes understanding, implementing, and adapting these resolutions as practical steps toward resilience in the face of an ever-evolving threat landscape. Staying committed to these data security resolutions can be challenging, as nearly 80% of individuals tend to abandon their New Year’s resolutions by February. However, having Sentra’s Data Security Posture Management (DSPM) by your side in 2025 ensures that adhering to these data security resolutions and refining your organization's data security strategy becomes guaranteed.

To learn more, schedule a demo with one of our experts.

Read More
Gilad Golani
Gilad Golani
November 28, 2024
3
Min Read
Data Security

New Healthcare Cyber Regulations: What Security Teams Need to Know

New Healthcare Cyber Regulations: What Security Teams Need to Know

Why New Healthcare Cybersecurity Regulations Are Critical

In today’s healthcare landscape, cyberattacks on hospitals and health services have become increasingly common and devastating. For organizations that handle vast amounts of sensitive patient information, a single breach can mean exposing millions of records, causing not only financial repercussions but also risking patient privacy, trust, and care continuity.

Top Data Breaches in Hospitals in 2024: A Year of Costly Cyber Incidents

The year 2024 has seen a series of high-profile data breaches in the healthcare sector, exposing critical vulnerabilities and emphasizing the urgent need for stronger cybersecurity measures. Among the most significant incidents was the breach at Change Healthcare, Inc., which resulted in the exposure of 100 million records. As one of the largest healthcare data breaches in history, this event highlighted the challenges of securing patient data at scale and the immense risks posed by hacking incidents. Similarly, HealthEquity, Inc. suffered a breach impacting 4.3 million individuals, highlighting the vulnerabilities associated with healthcare business associates who manage data for multiple organizations. Finally, Concentra Health Services, Inc. experienced a breach that compromised nearly 4 million patient records, raising critical concerns about the adequacy of cybersecurity defenses in healthcare facilities. These incidents have significantly impacted patients and providers alike, highlighting the urgent need for robust cybersecurity measures and stricter regulations to protect sensitive data.

New York’s New Cybersecurity Reporting Requirements for Hospitals

In response to the growing threat of cyberattacks, many healthcare organizations and communities are implementing stronger cybersecurity protections. In October, New York State took a significant step by introducing new cybersecurity regulations for general hospitals aimed at safeguarding patient data and reinforcing security measures across healthcare systems. Under these regulations, hospitals in New York must report any “material cybersecurity incident” to the New York State Department of Health (NYSDOH) within 72 hours of discovery.

This 72-hour reporting window aligns with other global regulatory frameworks, such as the European Union’s GDPR and the SEC’s requirements for public companies. However, its application in healthcare represents a critical shift, ensuring incidents are addressed and reported promptly. The rapid reporting requirement aims to:

  • Enable the NYSDOH to assess and respond to cyber incidents across the state’s healthcare network.
  • Help mitigate potential fallout by ensuring hospitals promptly address vulnerabilities.
  • Protect patients by fostering transparency around data breaches and associated risks.

For hospitals, meeting this requirement means refining incident response protocols to act swiftly upon detecting a breach. Compliance with these regulations not only safeguards patient data but also strengthens trust in healthcare services.

With these regulations, New York is setting a precedent that could reshape healthcare cybersecurity standards nationwide. By emphasizing proactive cybersecurity and quick incident response, the state is establishing a higher bar for protecting sensitive data in healthcare organizations, inspiring other states to potentially follow as well.

HIPAA Updates and the Role of HHS

While New York leads with immediate, state-level action, the Department of Health and Human Services (HHS) is also working to update the HIPAA Security Rule with new cybersecurity standards. These updates, expected to be proposed later this year, will follow a lengthy regulatory process, including a notice of proposed rulemaking, a public comment period, and the eventual issuance of a final rule. Once finalized, healthcare organizations will have time to comply.

In the interim, the HHS has outlined voluntary cybersecurity goals, announced in January 2024. While these recommendations are a step forward, they lack the urgency and enforceability of New York’s state-level regulations. The contrast between the swift action in New York and the slower federal process highlights the critical role state initiatives play in bridging gaps in patient data protection.

Together, these developments—New York’s rapid reporting requirements and the ongoing HIPAA updates—show a growing recognition of the need for stronger cybersecurity measures in healthcare. They emphasize the importance of immediate action at the state level while federal efforts progress toward long-term improvements in data security standards.

Penalties for Healthcare Cybersecurity Non-Compliance in NY

Non-compliance with any health law or regulation in New York State, including cybersecurity requirements, may result in penalties. However, the primary goal of these regulations is not to impose financial penalties but to ensure that healthcare facilities are equipped with the necessary resources and guidance to defend against cyberattacks. Under Section 12 of health law regulations in New York State, violations can result in civil penalties of up to $2,000 per offense, with increased fines for more severe or repeated infractions. If a violation is repeated within 12 months and poses a serious health threat, the fine can rise to $5,000. For violations directly causing serious physical harm to a patient, penalties may reach $10,000. A portion of fines exceeding $2,000 is allocated to the Patient Safety Center to support its initiatives. These penalties aim to ensure compliance, with enforcement actions carried out by the Commissioner or the Attorney General. Additionally, penalties may be negotiated or settled under certain circumstances, providing flexibility while maintaining accountability.

Importance of Prioritizing Breach Reporting

With the rapid digitization of healthcare services, regulations are expected to tighten significantly in the coming years. HIPAA, in particular, is anticipated to evolve with stronger privacy protections and expanded rules to address emerging challenges.

Healthcare providers must make cybersecurity a top priority to protect patients from cyber threats. This involves adopting proactive risk assessments, implementing strong data protection strategies, and optimizing breach detection, response, and reporting capabilities to meet regulatory requirements effectively.

Data Security Platforms (DSPs) are essential for safeguarding sensitive healthcare data. These platforms enable organizations to locate and classify patient information, such as lab results, prescriptions, personally identifiable information, or medical images - across multiple formats and environments, ensuring comprehensive protection and regulatory compliance.

Breach Reporting With Sentra

A proper classification solution is essential for understanding the nature and sensitivity of your data at all times. With Sentra, you gain a clear, real-time view of your data's classification, making it easier to determine if sensitive data was involved in a breach, identify the types of data affected, and track who had access to it. This ensures that your breach reports are accurate, comprehensive, and aligned with regulatory requirements.

Sentra can help you to adhere to many compliance frameworks, including PCI, GDPR, SOC2 and more, that may be applicable to your sensitive data as it travels around the organization. It automatically will alert you to violations, provide insight into the impact of any compromise, help you to prioritize associated risks, and integrate with common IR tools to streamline remediation. Sentra automates these processes so you can focus energies on eliminating risks.

Data Breach Report November 2024

Read More
decorative ball