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How Does DSPM Safeguard Your Data When You Have CSPM/CNAPP

September 10, 2024
4
Min Read
Data Security

After debuting in Gartner’s 2022 Hype Cycle, Data Security Posture Management (DSPM) has quickly become a transformative category and hot security topic. DSPM solutions are popping up everywhere, both as dedicated offerings and as add-on modules to established cloud native application protection platforms (CNAPP) or cloud security posture management (CSPM) platforms.

But which option is better: adding a DSPM module to one of your existing solutions or implementing a new DSPM-focused platform? On the surface, activating a module within a CNAPP/CSPM solution that your team already uses might seem logical. But, the real question is whether or not you can reap all of the benefits of a DSPM through an add-on module. While some CNAPP platforms offer a DSPM module, these add-ons lack a fully data-centric approach, which is required to make DSPM technology effective for a modern-day business with a sprawling data ecosystem. Let’s explore this further.

How are CNAPP/CSPM and DSPM Different?

While CNAPP/CSPM and DSPM seem similar and can be complementary in many ways, they are distinctly different in a few important ways. DSPMs are all about the data — protecting it no matter where it travels. CNAPP/CSPMs focus on detecting attack paths through cloud infrastructure. So naturally, they tie specifically to the infrastructure and lack the agnostic approach of DSPM to securing the underlying data.

Because a DSPM focuses on data posture, it applies to additional use cases that CNAPP/CSPM typically doesn’t cover. This includes data privacy and data protection regulations such as GDPR, PCI-DSS, etc., as well as data breach detection based on real-time monitoring for risky data access activity. Lastly, data at rest (such as abandoned shadow data) would not necessarily be protected by CNAPP/CSPM since, by definition, it’s unknown and not an active attack path.

What is a Data-Centric Approach?

A data-centric approach is the foundation of your data security strategy that prioritizes the secure management, processing, and storage of data, ensuring that data integrity, accessibility, and privacy are maintained across all stages of its lifecycle. Standalone DSPM takes a data-centric approach. It starts with the data, using contextual information such as data location, sensitivity, and business use cases to better control and secure it. These solutions offer preventative measures, such as discovering shadow data, preventing data sprawl, and reducing the data attack surface.

Data detection and response (DDR), often offered within a DSPM platform, provides reactive measures, enabling organizations to monitor their sensitive assets and detect and prevent data exfiltration. Because standalone DSPM solutions are data-centric, many are designed to follow data across a hybrid ecosystem, including public cloud, private cloud, and on-premises environments. This is ideal for the complex environments that many organizations maintain today.

What is an Infrastructure-Centric Approach?

An infrastructure-centric solution is focused on optimizing and protecting the underlying hardware, networks, and systems that support applications and services, ensuring performance, scalability, and reliability at the infrastructure level. Both CNAPP and CSPM use infrastructure-centric approaches. Their capabilities focus on identifying vulnerabilities and misconfigurations in cloud infrastructure, as well as some basic compliance violations. CNAPP and CSPM can also identify attack paths and use several factors to prioritize which ones your team should remediate first. While both solutions can enforce policies, they can only offer security guardrails that protect static infrastructure. In addition, most CNAPP and CSPM solutions only work with public cloud environments, meaning they cannot secure private cloud or on-premises environments.

How Does a DSPM Add-On Module for CNAPP/CSPM Work?

Typically, when you add a DSPM module to CNAPP/CSPM, it can only work within the parameters set by its infrastructure-centric base solution. In other words, a DSPM add-on to a CNAPP/CSPM solution will also be infrastructure-centric. It’s like adding chocolate chips to vanilla ice cream; while they will change the flavor a bit, they can’t transform the constitution of your dessert into chocolate ice cream. 

A DSPM module in a CNAPP or CSPM solution generally has one purpose: helping your team better triage infrastructure security issues. Its sole functionality is to look at the attack paths that threaten your public cloud infrastructure, then flag which of these would most likely lead to sensitive data being breached. 

However, this functionality comes with a few caveats. While CSPM and CNAPP have some data discovery capabilities, they use very basic classification functions, such as pattern-matching techniques. This approach lacks context and granularity and requires validation by your security team. 

In addition, the DSPM add-on can only perform this data discovery within infrastructure already being monitored by the CNAPP/CSPM solution. So, it can only discover sensitive data within known public cloud environments. It may miss shadow data that has been copied to local stores or personal machines, leaving risky exposure gaps.

Why Infrastructure-Centric Solutions Aren’t Enough

So, what happens when you only use infrastructure-centric solutions in a modern cloud ecosystem? While these solutions offer powerful functionality for defending your public cloud perimeter and minimizing misconfigurations, they miss essential pieces of your data estate. Here are a few types of sensitive assets that often slip through the cracks of an infrastructure-centric approach: 

In addition, DSPM modules within CNAPP/CSPM platforms lack the context to properly classify sensitive data beyond easily identifiable examples, such as social security or credit card numbers. But, the data stores at today’s businesses often contain more nuanced personal or product/service-specific identifiers that could pose a risk if exposed. Examples include a serial number for a product that a specific individual owns or a medical ID number as part of an EHR. Some sensitive assets might even be made up of “toxic combinations,” in which the sensitivity of seemingly innocuous data classes increases when combined with specific identifiers. For example, a random 9-digit number alongside a headshot photo and expiration date is likely a sensitive passport number.

Ultimately, DSPM built into a CSPM or CNAPP solution only sees an incomplete picture of risk. This can leave any number of sensitive assets unknown and unprotected in your cloud and on-prem environments.

Dedicated DSPM Completes the Data Security Picture

A dedicated, best-of-breed DSPM solution like Sentra, on the other hand, offers rich, contextual information about all of your sensitive data — no matter where it resides, how your business uses it, or how nuanced it is. 

Rather than just defending the perimeters of known public cloud infrastructure, Sentra finds and follows your sensitive data wherever it goes.

Here are a few of Sentra’s unique capabilities that complete your picture of data security:

  • Comprehensive, security-focused data catalog of all sensitive data assets across the entire data estate (IaaS, PaaS, SaaS, and On-Premises)
  • Ability to detect unmanaged, mislocated, or abandoned data, enabling your team to reduce your data attack surface, control data sprawl, and remediate security/privacy policy violations
  • Movement detection to surface out-of-policy data transformations that violate residency and security policies or that inadvertently create exposures
  • Nuanced discovery and classification, such as row/column/table analysis capabilities that can uncover uncommon personal identifiers, toxic combinations, etc.
  • Rich context for understanding the business purpose of data to better discern its level of sensitivity
  • Lower false positive rates due to deeper analysis of the context surrounding each sensitive data store and asset
  • Automation for remediating a variety of data posture, compliance, and security issues

All of this complex analysis requires a holistic, data-centric view of your data estate — something that only a standalone DSPM solution can offer. And when deployed together with a CNAPP or CSPM solution, a standalone DSPM platform can bring unmatched depth and context to your cloud data security program. It also provides unparalleled insight to facilitate prioritization of issue resolution.

To learn more about Sentra’s approach to data security posture management, read about how we use LLMs to classify structured and unstructured sensitive data at scale.

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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.

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Yogev Wallach
Yogev Wallach
August 11, 2025
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How to Secure Regulated Data in Microsoft 365 Copilot

How to Secure Regulated Data in Microsoft 365 Copilot

Microsoft 365 Copilot is a game-changer, embedding generative AI directly into your favorite tools like Word, Outlook, and Teams, and giving productivity a huge boost. But for governance, risk, and compliance (GRC) officers and CISOs, this exciting new innovation also brings new questions about governing sensitive data.

So, how can your organization truly harness Copilot safely without risking compliance? What are Microsoft 365 Copilot security best practices?

Frameworks like NIST’s AI Risk Management and the EU AI Act offer broad guidance, but they don't prescribe exact controls. At Sentra, we recommend a practical approach: treat Copilot as a sensitive data store capable of serving up data (including highly sensitive, regulated information).

This means applying rigorous data security measures to maintain compliance. Specifically, you'll need to know precisely what data Copilot can access, secure it, clearly map access, and continuously monitor your overall data security posture.

We tackle Copilot security through two critical DSPM concepts: Sanitization and Governance.

1. Sanitization: Minimize Unnecessary Data Exposure

Think of Copilot as an incredibly powerful search engine. It can potentially surface sensitive data hidden across countless repositories. To prevent unintended leaks, your crucial first step is to minimize the amount of sensitive data Copilot can access.

Address Shadow Data and Oversharing

It's common for organizations to have sensitive data lurking in overlooked locations or within overshared files. Copilot's incredible search capabilities can suddenly bring these vulnerabilities to light. Imagine a confidential HR spreadsheet, accidentally shared too broadly, now easily summarized by Copilot for anyone who asks.

The solution? Conduct thorough data housekeeping. This means identifying, archiving, or deleting redundant, outdated, or improperly shared information. Crucially, enforce least privilege access by actively auditing and tightening permissions – ensuring only essential identities have access to sensitive content.

How Sentra Helps

Sentra's DSPM solution leverages advanced AI technologies (like OCR, NER, and embeddings) to automatically discover and classify sensitive data across your entire Microsoft 365 environment. Our intuitive dashboards quickly highlight redundant files, shadow data, and overexposed folders. What's more, we meticulously map access at the identity level, clearly showing which users can access what specific sensitive data – enabling rapid remediation.

For example, in the screenshot below, you'll see a detailed view of an identity (Jacob Simmons) within our system. This includes a concise summary of the sensitive data classes they can access, alongside a complete list of accessible data stores and data assets.

sentra dspm identity access

2. Governance: Control AI Output to Prevent Data Leakage

Even after thorough sanitization, some sensitive data must remain accessible within your environment. This is where robust governance comes in, ensuring that Copilot's output never becomes an unintentional vehicle for sensitive data leakage.

Why Output Governance Matters

Without proper controls, Copilot could inadvertently include sensitive details in its generated content or responses. This risk could lead to unauthorized sharing, unchecked sensitive data sprawl, or severe regulatory breaches. The recent EchoLeak vulnerability, for instance, starkly demonstrated how attackers might exploit AI-generated outputs to silently leak critical information.

Leveraging DLP and Sensitivity Labels

Microsoft 365’s Purview Information Protection and DLP policies are powerful tools that allow organizations to control what Copilot can output. Properly labeled sensitive data, such as documents marked “Confidential – Financial,” prompt Copilot to restrict content output, providing users only with references or links rather than sensitive details.

Sentra’s Governance Capabilities

Sentra automatically classifies your data and intelligently applies MPIP sensitivity labels, directly powering Copilot’s critical DLP policies. Our platform integrates seamlessly with Microsoft Purview, ensuring sensitive files are accurately labeled based on flexible, custom business logic. This guarantees that Copilot's outputs remain fully compliant with your active DLP policies.

Below is an example of Sentra’s MPIP label automation in action, showing how we place sensitivity labels on data assets that contain Facebook profile URLs and credit card numbers belonging to EU citizens, which were modified in the past year:

Additionally, our continuous monitoring and real-time alerts empower organizations to immediately address policy violations – for instance, sensitive data with missing or incorrect MPIP labels – helping you maintain audit readiness and seamless compliance alignment.

sentra mpip label automation sensitive data microsoft purview information protection automation

A Data-Centric Security Approach to AI Adoption

By strategically combining robust sanitization and strong governance, you ensure your regulated data remains secure while enabling safe and compliant Copilot adoption across your organization. This approach aligns directly with the core principles outlined by NIST and the EU AI Act, effectively translating high-level compliance guidance into actionable, practical controls.

At Sentra, our mission is clear: to empower secure AI innovation through comprehensive data visibility and truly automated compliance. Our cutting-edge solutions provide the transparency and granular control you need to confidently embrace Copilot’s powerful capabilities, all without risking costly compliance violations.

Next Steps

Adopting Microsoft 365 Copilot securely doesn’t have to be complicated. By leveraging Sentra’s comprehensive DSPM solutions, your organization can create a secure environment where Copilot can safely enhance productivity without ever exposing your regulated data.


Ready to take control? Contact a Sentra expert today to learn more about seamlessly securing your sensitive data and confidently deploying Microsoft 365 Copilot.

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Yair Cohen
Yair Cohen
Gilad Golani
Gilad Golani
August 5, 2025
4
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Data Security

How Automated Remediation Enables Proactive Data Protection at Scale

How Automated Remediation Enables Proactive Data Protection at Scale

Scaling Automated Data Security in Cloud and AI Environments

Modern cloud and AI environments move faster than human response. By the time a manual workflow catches up, sensitive data may already be at risk. Organizations need automated remediation to reduce response time, enforce policy at scale, and safeguard sensitive data the moment it becomes exposed. Comprehensive data discovery and accurate data classification are foundational to this effort. Without knowing what data exists and how it's handled, automation can't succeed.

Sentra’s cloud-native Data Security Platform (DSP) delivers precisely that. With built-in, context-aware automation, data discovery, and classification, Sentra empowers security teams to shift from reactive alerting to proactive defense. From discovery to remediation, every step is designed for precision, speed, and seamless integration into your existing security stack. precisely that. With built-in, context-aware automation, Sentra empowers security teams to shift from reactive alerting to proactive defense. From discovery to remediation, every step is designed for precision, speed, and seamless integration into your existing security stack.

Automated Remediation: Turning Data Risk Into Action

Sentra doesn't just detect risk, it acts. At the core of its value is its ability to execute automated remediation through native integrations and a powerful API-first architecture. This lets organizations immediately address data risks without waiting for manual intervention.

Key Use Cases for Automated Data Remediation

Sensitive Data Tagging & Classification Automation

Sentra accurately classifies and tags sensitive data across environments like Microsoft 365, Amazon S3, Azure, and Google Cloud Platform. Its Automation Rules Page enables dynamic labels based on data type and context, empowering downstream tools to apply precise protections.

Sensitive Data Tagging and Classification Automation in Microsoft Purview

Automated Access Revocation & Insider Risk Mitigation

Sentra identifies excessive or inappropriate access and revokes it in real time. With integrations into IAM and CNAPP tools, it enforces least-privilege access. Advanced use cases include Just-In-Time (JIT) access via SOAR tools like Tines or Torq.

Enforced Data Encryption & Masking Automation

Sentra ensures sensitive data is encrypted and masked through integrations with Microsoft Purview, Snowflake DDM, and others. It can remediate misclassified or exposed data and apply the appropriate controls, reducing exposure and improving compliance.

Integrated Remediation Workflow Automation

Sentra streamlines incident response by triggering alerts and tickets in ServiceNow, Jira, and Splunk. Context-rich events accelerate triage and support policy-driven automated remediation workflows.

Architecture Built for Scalable Security Automation

Cloud & AI Data Visibility with Actionable Remediation

Sentra provides visibility across AWS, Azure, GCP, and M365 while minimizing data movement. It surfaces actionable guidance, such as missing logging or improper configurations, for immediate remediation.

Dynamic Policy Enforcement via Tagging

Sentra’s tagging flows directly into cloud-native services and DLP platforms, powering dynamic, context-aware policy enforcement.

API-First Architecture for Security Automation

With a REST API-first design, Sentra integrates seamlessly with security stacks and enables full customization of workflows, dashboards, and automation pipelines.

Why Sentra for Automated Remediation?

Sentra offers a unified platform for security teams that need visibility, precision, and automation at scale. Its advantages include:

  • No agents or connectors required
  • High-accuracy data classification for confident automation
  • Deep integration with leading security and IT platforms
  • Context-rich tagging to drive intelligent enforcement
  • Built-in data discovery that powers proactive policy decisions
  • OpenAPI interface for tailored remediation workflows

These capabilities are particularly valuable for CISOs, Heads of Data Security, and AI Security teams tasked with securing sensitive data in complex, distributed environments. 

Automate Data Remediation and Strengthen Cloud Security

Today’s cloud and AI environments demand more than visibility, they require decisive, automated action. Security leaders can no longer afford to rely on manual processes when sensitive data is constantly in motion.

Sentra delivers the speed, precision, and context required to protect what matters most. By embedding automated remediation into core security workflows, organizations can eliminate blind spots, respond instantly to risk, and ensure compliance at scale.

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Ward Balcerzak
Ward Balcerzak
July 30, 2025
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Min Read
Data Security

How Sentra is Redefining Data Security at Black Hat 2025

How Sentra is Redefining Data Security at Black Hat 2025

As we move deeper into 2025, the cybersecurity landscape is experiencing a profound shift. AI-driven threats are becoming more sophisticated, cloud misconfigurations remain a persistent risk, and data breaches continue to grow in scale and cost.

In this rapidly evolving environment, traditional security approaches are no longer enough. At Black Hat USA 2025, Sentra will demonstrate how security teams can stay ahead of the curve through data-centric strategies that focus on visibility, risk reduction, and real-time response. Join us on August 4-8 at the Mandalay Bay Convention Center in Las Vegas to learn how Sentra’s platform is reshaping the future of cloud data security.

Understanding the Stakes: 2024’s Security Trends

Recent industry data underscores the urgency facing security leaders. Ransomware accounted for 35% of all cyberattacks in 2024 - an 84% increase over the prior year. Misconfigurations continue to be a leading cause of cloud incidents, contributing to nearly a quarter of security events. Phishing remains the most common vector for credential theft, and the use of AI by attackers has moved from experimental to mainstream.

These trends point to a critical shift: attackers are no longer just targeting infrastructure or endpoints. They are going straight for the data.

Why Data-Centric Security Must Be the Focus in 2025

The acceleration of multi-cloud adoption has introduced significant complexity. Sensitive data now resides across AWS, Azure, GCP, and SaaS platforms like Snowflake and Databricks. However, most organizations still struggle with foundational visibility - not knowing where all their sensitive data lives, who has access to it, or how it is being used.

Sentra’s approach to Data Security Posture Management (DSPM) is built to solve this problem. Our platform enables security teams to continuously discover, identify, classify, and secure sensitive data across their cloud environments, and to do so in real time, without agents or manual tagging.

Sentra at Black Hat USA 2025: What to Expect

At this year’s conference, Sentra will be showcasing how our DSPM and Data Detection and Response (DDR) capabilities help organizations proactively defend their data against evolving threats. Our live demonstrations will highlight how we uncover shadow data across hybrid and multi-cloud environments, detect abnormal access patterns indicating insider threats, and automate compliance mapping for frameworks such as GDPR, HIPAA, PCI-DSS, and SOX. Attendees will also gain visibility into how our platform enables data-aware threat detection that goes beyond traditional SIEM tools.

In addition to product walkthroughs, we’ll be sharing real-world success stories from our customers - including a fintech company that reduced its cloud data risk by 60% in under a month, and a global healthtech provider that cut its audit prep time from three weeks to just two days using Sentra’s automated controls.

Exclusive Experiences for Security Leaders

Beyond the show floor, Sentra will be hosting a VIP Security Leaders Dinner on August 5 - an invitation-only evening of strategic conversations with CISOs, security architects, and data governance leaders. The event will feature roundtable discussions on 2025’s biggest cloud data security challenges and emerging best practices.

For those looking for deeper engagement, we’re also offering one-on-one strategy sessions with our experts. These personalized consultations will focus on helping security leaders evaluate their current DSPM posture, identify key areas of risk, and map out a tailored approach to implementing Sentra’s platform within their environment.

Why Security Teams Choose Sentra

Sentra has emerged as a trusted partner for organizations tackling the challenges of modern data security. We were named a "Customers’ Choice" in the Gartner Peer Insights Voice of the Customer report for DSPM, with a 98% recommendation rate and an average rating of 4.9 out of 5. GigaOm also recognized Sentra as a Leader in its 2024 Radar reports for both DSPM and Data Security Platforms.

More importantly, Sentra is helping real organizations address the realities of cloud-native risk. As security perimeters dissolve and sensitive data becomes more distributed, our platform provides the context, automation, and visibility needed to protect it.

Meet Sentra at Booth 4408

Black Hat USA 2025 offers a critical opportunity for security leaders to re-evaluate their strategies in the face of AI-powered attacks, rising cloud complexity, and increasing regulatory pressure. Whether you are just starting to explore DSPM or are looking to enhance your existing security investments, Sentra’s team will be available for live demos, expert guidance, and strategic insights throughout the event.

Visit us at Booth 4408 to see firsthand how Sentra can help your organization secure what matters most - your data.

Register or Book a Session

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