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It's Time to Embrace Cloud DLP and DSPM

March 11, 2024
4
 Min Read
Data Loss Prevention

What’s the best way to prevent data exfiltration or exposure? In years past, the clear answer was often data loss prevention (DLP) tools. But today, the answer isn’t so clear — especially in light of the data democratization trend and for those who have adopted multi-cloud or cloud-first strategies. 

Data loss prevention (DLP) emerged in the early 2000s as a way to secure web traffic, which wasn’t encrypted at the time. Without encryption, anyone could tap into data in transit, creating risk for any data that left the safety of on-premise storage. As Cyber Security Review describes, “The main approach for DLP here was to ensure that any sensitive data or intellectual property never saw the outside web. The main techniques included (1) blocking any actions that copy or move data to unauthorized devices and (2) monitoring network traffic with basic keyword matching.”

Although DLP has evolved for securing endpoints, email and more, its core functionality has remained the same: gatekeeping data within a set perimeter. But, this approach simply doesn’t perform well in cloud environments, as the cloud doesn’t have a clear perimeter. Instead, today’s multi-cloud environment includes constantly changing data stores, infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS) and more.

And thanks to data democratization, people across an organization can access all of these areas and move, change, or copy data within seconds. Cloud applications do so as well—even faster.

Traditional DLP tools weren’t built for cloud-native environments and can cause significant challenges for today’s organizations. Data security teams need a new approach, purpose-built for the realities of the cloud, digital transformation and today’s accelerated pace of innovation.

Why Traditional DLP Isn’t Ideal for the Cloud

Traditional DLPs are often unwieldy for the engineers who must work with the solution and ineffective for the leaders who want to see positive results and business continuity from the tool. There are a few reasons why this is the case:

1. Traditional DLP tools often trigger false alarms.

Traditional DLPs are prone to false positives. Because they are meant to detect any sensitive data that leaves a set perimeter, these solutions tend to flag normal cloud activities as security risks. For instance, traditional DLP is notorious for erroneously blocking apps and services in IaaS/PaaS environments. These “false positives” disrupt business continuity and innovation, which is frustrating for users who want to use valuable cloud data in their daily work.

Not only do traditional DLPs block the wrong signals, but they also overlook the right ones, such as suspicious activities happening over cloud-based applications like Slack, Google Drive or generative AI/LLM apps. Plus, traditional DLP doesn’t follow data as users move, change or copy it, meaning it can easily miss shadow data.

2. Traditional DLP tools cause alert fatigue.

In addition, these tools lack detailed data context, meaning that they can’t triage alerts based on severity. Combine this factor with the high number of false positives, and teams end up with an overwhelming list of alerts that they must sort manually. This reality leads to alert fatigue and can cause teams to overlook legitimate security issues.

3. Traditional DLP tools rely on lots of manual intervention.

Traditional DLP deployment and maintenance take up lots of time and resources for a cloud-based or hybrid organization. For instance, teams must often install several legacy agents and proxies across the environment to make the solution work accurately.

Plus, these legacy tools rely on clear-cut data patterns and keywords to uncover risk. These patterns are often hidden or nonexistent because they are often disguised or transformed in the data that exists in or moves to cloud environments. This means that teams must manually tune their DLP solution to align with what their sensitive cloud data actually looks like. In many cases, this manual intervention is very difficult—if not impossible—since many cloud pipelines rely on ETL data, which isn’t easy to manually alter or inspect. 

Plus, today’s organizations use vast amounts of unstructured data within cloud file shares such as Sharepoint. They must parse through tens or even hundreds of petabytes of this unstructured data, making it challenging to find hidden sensitive data. Traditional DLP solutions lack the technology that would make this process far easier, such as AI/ML analysis.

Cloud DLP: A Cloud-Native Approach to Data Loss Prevention

Because the cloud is so different from traditional, on-premise environments, today’s cloud-based and hybrid organizations need a new solution. This is where a cloud DLP solution comes into the picture. We are seeing lots of cloud DLP tools hit the market, including solutions that fall into two main categories:

SaaS DLP products that leverage APIs to provide access control. While these products help to protect from loss within some SaaS applications, they are limited in scope, only covering a small percentage of the cloud services that a typical cloud-native organization uses. These limitations mean that a SaaS DLP product can’t provide a truly comprehensive view of all cloud data or trace data lineage if it’s not based in the cloud. 

IaaS + PaaS DLP products that focus on scanning and classifying data. Some of these tools are simply reporting tools that uncover data but don’t take action to remediate any issues. This still leaves extra manual work for security teams. Other IaaS + PaaS DLP offerings include automated remediation capabilities but can cause business interruptions if the automation occurs in the wrong situation.  

To directly address the limitations inherent in traditional DLPs and avoid these pitfalls, next-generation cloud DLPs should include the following:

  • Scalability in complex, multi-cloud environments
  • Automated prioritization for detected risks based on rich data context
  • Auto-detection and remediation capabilities that use deep context to correct configuration issues, creating efficiency without blocking everyday activities
  • Integration and workflows that are compatible with your existing environments
  • Straightforward, cloud-native agentless deployment without extensive tuning or maintenance
Attribute Cloud DLP DSPM DDR
Security Use Case Data Leakage Prevention Data Posture Improvement, Compliance Threat Detection and Response
Environments SaaS, Cloud Storage, Apps Public Cloud, SaaS and OnPremises Public Cloud, SaaS, Networks
Risk Prioritization Limited: based only on predefined policies - not based on discovered data or data context Analyzes Data Context, Access Controls, and Vulnerabilities Threat Activity Context such as anomalous traffic, volume, access
Remediation Block or Redact Data Transfers, Encryption, Alert Alerts, IR/Tool Integration & Workflow Initiation Alerts, Revoke Users/Access, Isolate Data Breach

Further Enhancing Cloud DLP by Integrating DSPM & DDR

While Cloud Data Loss Prevention (DLP) helps to secure data in multi-cloud environments by preventing loss, DSPM and DDR capabilities can complete the picture. These technologies add contextual details, such as user behavior, risk scoring and real-time activity monitoring, to enhance the accuracy and actionability of data threat and loss mitigation. 

Data Security Posture Management (DSPM) enforces good data hygiene no matter where the data resides. It takes a proactive approach, significantly reducing data exposure by preventing employees from taking risky actions in the first place. Data Detection and Response (DDR) alerts teams to the early warning signs of a breach, including suspicious activities such as data access by an unknown IP address. By bringing together Cloud DLP, DSPM and DDR, your organization can establish holistic data protection with both proactive and reactive controls. There is already much overlap in these technologies. As the market evolves, it is likely they will continue to combine into holistic cloud-native data security platforms.  

Sentra’s data security platform brings a cloud-native approach to DLP by automatically detecting and remediating data risks at scale. Built for complex multi-cloud and premise environments, Sentra empowers you with a unified platform to prioritize all of your most critical data risks in near real-time.

Request a demo to learn more about our cloud DLP, DSPM and DDR offerings.

David Stuart is Senior Director of Product Marketing for Sentra, a leading cloud-native data security platform provider, where he is responsible for product and launch planning, content creation, and analyst relations. Dave is a 20+ year security industry veteran having held product and marketing management positions at industry luminary companies such as Symantec, Sourcefire, Cisco, Tenable, and ZeroFox. Dave holds a BSEE/CS from University of Illinois, and an MBA from Northwestern Kellogg Graduate School of Management.

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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.

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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.

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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

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