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Top 6 Azure Security Tools, Features, and Best Practices

November 7, 2022
6
Min Read

Nowadays, it is evident that the rapid growth of cloud computing has changed how organizations operate. Many organizations increasingly rely on the cloud to drive their daily business operations. The cloud is a single place for storing, processing and accessing data; it’s no wonder that people are becoming addicted to its convenience.

However, as the dependence on cloud service providers continues, the need for security also increases. One needs to measure and safeguard sensitive data to protect against possible threats. Remember that security is a shared responsibility - even if your cloud provider secures your data, the security will not be absolute. Thus, understanding the security features of a particular cloud service provider becomes significant.

Introduction to Microsoft Azure Security Services

Image of Microsoft Azure, explaining how to strengthen security posture with Azure

Microsoft Azure offers services and tools for businesses to manage their applications and infrastructure. Utilizing Azure ensures robust security measures are in place to protect sensitive data, maintain privacy, and mitigate potential threats.

This article will tackle Azure’s security features and tools to help organizations and individuals safeguard and protect their data while they continue their innovation and growth. 

There’s a collective set of security features, services, tools, and best practices offered by Microsoft to protect cloud resources. In this section, let's explore some layers to gain some insights.

The Layers of Security in Microsoft Azure:

Layers of Security Description
Physical Security Microsoft Azure has a strong foundation of physical security measures, and it operates state-of-the-art data centers worldwide with strict physical access controls, which ensures that Azure's infrastructure protects itself against unauthorized physical access.
Network Security Virtual networks, network security groups (NSGs), and distributed denial of service (DDoS) protection create isolated and secure network environments. Microsoft Azure network security mechanisms secure data in transit and protect against unauthorized network access. Of course, we must recognize Azure Virtual Network Gateway, which secures connections between on-premises networks and Azure resources.
Identity and Access Management (IAM) Microsoft Azure offers identity and access management capabilities to control and secure access to cloud resources. The Azure Active Directory (AD) is a centralized identity management platform that allows organizations to manage user identities, enforce robust authentication methods, and implement fine-grained access controls through role-based access control (RBAC).
Data Security Microsoft Azure offers Azure Storage Service Encryption (SSE) which encrypts data at rest, while Azure Disk Encryption secures virtual machine disks. Azure Key Vault provides a secure and centralized location for managing cryptographic keys and secrets.
Threat Detection and Monitoring Microsoft Azure offers Azure Security Center, which provides a centralized view of security recommendations, threat intelligence, and real-time security alerts. Azure Sentinel offers cloud-native security information that helps us quickly detect, alert, investigate, and resolve security incidents.
Compliance and Governance Microsoft Azure offers Azure Policy to define and enforce compliance controls across Azure resources within the organization. Moreover, it helps provide compliance certifications and adhere to industry-standard security frameworks.

Let’s explore some features and tools, and discuss their key features and best practices.

Azure Active Directory Identity Protection

Image of Azure’s Identity Protection page, explaining what is identity protection

Identity protection is a cloud-based service for the Azure AD suite. It focuses on helping organizations protect their user identities and detect potential security risks. Moreover, it uses advanced machine learning algorithms and security signals from various sources to provide proactive and adaptive security measures. Furthermore, leveraging machine learning and data analytics can identify risky sign-ins, compromised credentials, and malicious or suspicious user behavior. How’s that? Sounds great, right?

Key Features

1. Risk-Based User Sign-In Policies

It allows organizations to define risk-based policies for user sign-ins which evaluate user behavior, sign-in patterns, and device information to assess the risk level associated with each sign-in attempt. Using the risk assessment, organizations can enforce additional security measures, such as requiring multi-factor authentication (MFA), blocking sign-ins, or prompting password resets.

2. Risky User Detection and Remediation

The service detects and alerts organizations about potentially compromised or risky user accounts. It analyzes various signals, such as leaked credentials or suspicious sign-in activities, to identify anomalies and indicators of compromise. Administrators can receive real-time alerts and take immediate action, such as resetting passwords or blocking access, to mitigate the risk and protect user accounts.

Best Practices

  • Educate Users About Identity Protection - Educating users is crucial for maintaining a secure environment. Most large organizations now provide security training to increase the awareness of users. Training and awareness help users protect their identities, recognize phishing attempts, and follow security best practices.
  • Regularly Review and Refine Policies - Regularly assessing policies helps ensure their effectiveness, which is why it is good to continuously improve the organization’s Azure AD Identity Protection policies based on the changing threat landscape and your organization's evolving security requirements.

Azure Firewall

Image of Azure Firewall page, explaining what is Azure Firewall

Microsoft offers an Azure Firewall, which is a cloud-based network security service. It acts as a barrier between your Azure virtual networks and the internet. Moreover, it provides centralized network security and protection against unauthorized access and threats. Furthermore, it operates at the network and application layers, allowing you to define and enforce granular access control policies.

Thus, it enables organizations to control inbound and outbound traffic for virtual and on-premises networks connected through Azure VPN or ExpressRoute. Of course, we can’t ignore the filtering traffic of source and destination IP addresses, ports, protocols, and even fully qualified domain names (FQDNs).

Key Features

1. Network and Application-Level Filtering

This feature allows organizations to define rules based on IP addresses (source and destination), including ports, protocols, and FQDNs. Moreover, it helps organizations filter network and application-level traffic, controlling inbound and outbound connections.

2. Fully Stateful Firewall

Azure Firewall is a stateful firewall, which means it can intelligently allow return traffic for established connections without requiring additional rules. The beneficial aspect of this is it simplifies rule management and ensures that legitimate traffic flows smoothly.

3. High Availability and Scalability

Azure Firewall is highly available and scalable. It can automatically scale with your network traffic demand increases and provides built-in availability through multiple availability zones.

Best Practices

  • Design an Appropriate Network Architecture - Plan your virtual network architecture carefully to ensure proper placement of Azure Firewall. Consider network segmentation, subnet placement, and routing requirements to enforce security policies and control traffic flow effectively.
  • Implement Network Traffic Filtering Rules - Define granular network traffic filtering rules based on your specific security requirements. Start with a default-deny approach and allow only necessary traffic. Regularly review and update firewall rules to maintain an up-to-date and effective security posture.
  • Use Application Rules for Fine-Grain Control - Leverage Azure Firewall's application rules to allow or deny traffic based on specific application protocols or ports. By doing this, organizations can enforce granular access control to applications within their network.

Azure Resource Locks

Image of Azure Resource Locks page, explaining how to lock your resources to protect your infrastructure

Azure Resource Locks is a Microsoft Azure feature that allows you to restrict Azure resources to prevent accidental deletion or modification. It provides an additional layer of control and governance over your Azure resources, helping mitigate the risk of critical changes or deletions.

Key Features

Two types of locks can be applied:

1. Read-Only (CanNotDelete)

This lock type allows you to mark a resource as read-only, meaning modifications or deletions are prohibited.

2. CanNotDelete (Delete)

This lock type provides the highest level of protection by preventing both modifications and deletions of a resource; it ensures that the resource remains completely unaltered.

Best Practices

  • Establish a Clear Governance Policy - Develop a governance policy that outlines the use of Resource Locks within your organization. The policy should define who has the authority to apply or remove locks and when to use locks, and any exceptions or special considerations.
  • Leverage Azure Policy for Lock Enforcement - Use Azure Policy alongside Resource Locks to enforce compliance with your governance policies. It is because Azure Policy can automatically apply locks to resources based on predefined rules, reducing the risk of misconfigurations.

Azure Secure SQL Database Always Encrypted

Image of Azure Always Encrypted page, explaining how it works

Azure Secure SQL Database Always Encrypted is a feature of Microsoft Azure SQL Database that provides another security-specific layer for sensitive data. Moreover, it protects data at rest and in transit, ensuring that even database administrators or other privileged users cannot access the plaintext values of the encrypted data.

Key Features

1. Client-Side Encryption

Always Encrypted enables client applications to encrypt sensitive data before sending it to the database. As a result, the data remains encrypted throughout its lifecycle and can be decrypted only by an authorized client application.

2. Column-Level Encryption

Always Encrypted allows you to selectively encrypt individual columns in a database table rather than encrypting the entire database. It gives organizations fine-grained control over which data needs encryption, allowing you to balance security and performance requirements.

3. Transparent Data Encryption

The database server stores the encrypted data using a unique encryption format, ensuring the data remains protected even if the database is compromised. The server is unaware of the data values and cannot decrypt them.

Best Practices

The organization needs to plan and manage encryption keys carefully. This is because encryption keys are at the heart of Always Encrypted. Consider the following best practices.

  • Use a Secure and Centralized Key Management System - Store encryption keys in a safe and centralized location, separate from the database. Azure Key Vault is a recommended option for managing keys securely.
  • Implement Key Rotation and Backup - Regularly rotate encryption keys to mitigate the risks of key compromise. Moreover, establish a key backup strategy to recover encrypted data due to a lost or inaccessible key.
  • Control Access to Encryption Keys - Ensure that only authorized individuals or applications have access to the encryption keys. Applying the principle of least privilege and robust access control will prevent unauthorized access to keys.

Azure Key Vault

Image of Azure Key Vault page

Azure Key Vault is a cloud service provided by Microsoft Azure that helps safeguard cryptographic keys, secrets, and sensitive information. It is a centralized storage and management system for keys, certificates, passwords, connection strings, and other confidential information required by applications and services. It allows developers and administrators to securely store and tightly control access to their application secrets without exposing them directly in their code or configuration files.

Key Features

1. Key Management

Key Vault provides a secure key management system that allows you to create, import, and manage cryptographic keys for encryption, decryption, signing, and verification.

2. Secret Management

It enables you to securely store (as plain text or encrypted value) and manage secrets such as passwords, API keys, connection strings, and other sensitive information.

3. Certificate Management

Key Vault supports the storage and management of X.509 certificates, allowing you to securely store, manage, and retrieve credentials for application use.

4. Access Control

Key Vault provides fine-grained access control to manage who can perform operations on stored keys and secrets. It integrates with Azure Active Directory (Azure AD) for authentication and authorization.

Best Practices

  • Centralized Secrets Management - Consolidate all your application secrets and sensitive information in Key Vault rather than scattering them across different systems or configurations. The benefit of this is it simplifies management and reduces the risk of accidental exposure.
  • Use RBAC and Access Policies - Implement role-based access control (RBAC) and define granular access policies to power who can perform operations on Key Vault resources. Follow the principle of least privilege, granting only the necessary permissions to users or applications.
  • Secure Key Vault Access - Restrict access to Key Vault resources to trusted networks or virtual networks using virtual network service or private endpoints because it helps prevent unauthorized access to the internet.

Azure AD Multi-Factor Authentication

Image of Azure AD Multi-Factor Authentication page, explaining how it works

It is a security feature provided by Microsoft Azure that adds an extra layer of protection to user sign-ins and helps safeguard against unauthorized access to resources. Users must give additional authentication factors beyond just a username and password.

Key Features

1. Multiple Authentication Methods

Azure AD MFA supports a range of authentication methods, including phone calls, text messages (SMS), mobile app notifications, mobile app verification codes, email, and third-party authentication apps. This flexibility allows organizations to choose the methods that best suit their users' needs and security requirements.

2. Conditional Access Policies

Azure AD MFA can configure conditional access policies, allowing organizations to define specific conditions under which MFA (is required), once applied to an organization, on the user location, device trust, application sensitivity, and risk level. This granular control helps organizations strike a balance between security and user convenience.

Best Practices

  • Enable MFA for All Users - Implement a company-wide policy to enforce MFA for all users, regardless of their roles or privileges, because it will ensure consistent and comprehensive security across the organization.
  • Use Risk-Based Policies - Leverage Azure AD Identity Protection and its risk-based policies to dynamically adjust the level of authentication required based on the perceived risk of each sign-in attempt because it will help balance security and user experience by applying MFA only when necessary.
  • Implement Multi-Factor Authentication for Privileged Accounts - Ensure that all privileged accounts, such as administrators and IT staff, are protected with MFA. These accounts have elevated access rights and are prime targets for attackers. Enforcing MFA adds an extra layer of protection to prevent unauthorized access.

Conclusion

In this post, we have introduced the importance of cybersecurity in the cloud space due to dependence on cloud providers. After that we discussed some layers of security in Azure to gain insights about its landscape and see some tools and features available. Of course we can’t ignore the features such as Azure Active Directory Identity Protection, Azure Firewall, Azure Resource Locks, Azure Secure SQL Database Always Encrypted, Azure Key Vault and Azure AD Multi-Factor Authentication by giving an overview on each, its key features and the best practices we can apply to our organization.

Ready to go beyond native Azure tools?

While Azure provides powerful built-in security features, securing sensitive data across multi-cloud environments requires deeper visibility and control.

Request a demo with Sentra to see how our platform complements Azure by discovering, classifying, and protecting sensitive data - automatically and continuously.

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Discover Ron’s expertise, shaped by over 20 years of hands-on tech and leadership experience in cybersecurity, cloud, big data, and machine learning. As a serial entrepreneur and seed investor, Ron has contributed to the success of several startups, including Axonius, Firefly, Guardio, Talon Cyber Security, and Lightricks, after founding a company acquired by Oracle.

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Ward Balcerzak
Ward Balcerzak
January 14, 2026
4
Min Read

The Real Business Value of DSPM: Why True ROI Goes Beyond Cost Savings

The Real Business Value of DSPM: Why True ROI Goes Beyond Cost Savings

As enterprises scale cloud usage and adopt AI, the value of Data Security Posture Management (DSPM) is no longer just about checking a tool category box. It’s about protecting what matters most: sensitive data that fuels modern business and AI workflows.

Traditional content on DSPM often focuses on cost components and deployment considerations. That’s useful, but incomplete. To truly justify DSPM to executives and boards, security leaders need a holistic, outcome-focused view that ties data risk reduction to measurable business impact.

In this blog, we unpack the real, measurable benefits of DSPM, beyond just cost savings, and explain how modern DSPM strategies deliver rapid value far beyond what most legacy tools promise. 

1. Visibility Isn’t Enough - You Need Context

A common theme in DSPM discussions is that tools help you see where sensitive data lives. That’s important, but it’s only the first step. Real value comes from understanding context. Who can access the data, how it’s being used, and where risk exists in the wider security posture. Organizations that stop at discovery often struggle to prioritize risk and justify spend.

Modern DSPM solutions go further by:

  • Correlating data locations with access rights and usage patterns
  • Mapping sensitive data flows across cloud, SaaS, and hybrid environments
  • Detecting shadow data stores and unmanaged copies that silently increase exposure
  • Linking findings to business risk and compliance frameworks

This contextual intelligence drives better decisions and higher ROI because teams aren’t just counting sensitive data, they’re continuously governing it.

2. DSPM Saves Time and Shrinks Attack Surface Fast

One way DSPM delivers measurable business value is by streamlining functions that used to be manual, siloed, and slow:

  • Automated classification reduces manual tagging and human error
  • Continuous discovery eliminates periodic, snapshot-alone inventories
  • Policy enforcement reduces time spent reacting to audit requests

This translates into:

  • Faster compliance reporting
  • Shorter audit cycles
  • Rapid identification and remediation of critical risks

For security leaders, the speed of insight becomes a competitive advantage, especially in environments where data volumes grow daily and AI models can touch every corner of the enterprise.

3. Cost Benefits That Matter, but with Context

Lately I’m hearing many DSPM discussions break down cost components like scanning compute, licensing, operational expenses, and potential cloud savings. That’s a good start because DSPM can reduce cloud waste by identifying stale or redundant data, but it’s not the whole story.

 

Here’s where truly strategic DSPM differs:

Operational Efficiency

When DSPM tools automate discovery, classification, and risk scoring:

  • Teams spend less time on manual reports
  • Alert fatigue drops as noise is filtered
  • Engineers can focus on higher-value work

Breach Avoidance

Data breaches are expensive. According to industry studies, the average cost of a data breach runs into millions, far outweighing the cost of DSPM itself. A DSPM solution that prevents even one breach or major compliance failure pays for itself tenfold

Compliance as a Value Center

Rather than treating compliance as a cost center consider that:

  • DSPM reduces audit overhead
  • Provides automated evidence for frameworks like GDPR, HIPAA, PCI DSS
  • Improves confidence in reporting accuracy

That’s a measurable business benefit CFOs can appreciate and boards expect.

4. DSPM Reduces Risk Vector Multipliers Like AI

One benefit that’s often under-emphasized is how DSPM reduces risk vector multipliers, the factors that amplify risk exponentially beyond simple exposure counts.

In 2026 and beyond, AI systems are increasingly part of the risk profile. Modern DSPM help reduce the heightened risk from AI by:

  • Identifying where sensitive data intersects with AI training or inference pipelines
  • Governing how AI tools and assistants can access sensitive content
  • Providing risk context so teams can prevent data leakage into LLMs

This kind of data-centric, contextual, and continuous governance should be considered a requirement for secure AI adoption, no compromise.

5. Telling the DSPM ROI Story

The most convincing DSPM ROI stories aren’t spreadsheets, they’re narratives that align with business outcomes. The key to building a credible ROI case is connecting metrics, security impact, and business outcomes:

Metric Security Impact Business Outcome
Faster discovery & classification Fewer blind spots Reduced breach likelihood
Consistent governance enforcement Fewer compliance issues Lower audit cost
Contextual risk scoring Better prioritization Efficient resource allocation
AI governance Controlled AI exposure Safe innovation

By telling the story this way, security leaders can speak in terms the board and executives care about: risk reduction, compliance assurance, operational alignment, and controlled growth.

How to Evaluate DSPM for Real ROI

To capture tangible return, don’t evaluate DSPM solely on cost or feature checklists. Instead, test for:

1. Scalability Under Real Load

Can the tool discover and classify petabytes of data, including unstructured content, without degrading performance?

2. Accuracy That Holds Up

Poor classification undermines automation. True ROI requires consistent, top-performing accuracy rates.

3. Operational Cost Predictability

Beware of DSPM solutions that drive unexpected cloud expenses due to inefficient scanning or redundant data reads.

4. Integration With Enforcement Workflows

Visibility without action isn’t ROI. Your DSPM should feed DLP, IAM/CIEM, SIEM/SOAR, and compliance pipelines (ticketing, policy automation, alerts).

ROI Is a Journey, Not a Number

Costs matter, but value lives in context. DSPM is not just a cost center, it’s a force multiplier for secure cloud operations, AI readiness, compliance, and risk reduction. Instead of seeing DSPM as another tool, forward-looking teams view it as a fundamental decision support engine that changes how risk is measured, prioritized, and controlled.

Ready to See Real DSPM Value in Your Environment?

Download Sentra’s “DSPM Dirty Little Secrets” guide, a practical roadmap for evaluating DSPM with clarity, confidence, and production reality in mind.

👉 Download the DSPM Dirty Little Secrets guide now

Want a personalized walkthrough of how Sentra delivers measurable DSPM value?
👉 Request a demo

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Ofir Yehoshua
Ofir Yehoshua
January 13, 2026
3
Min Read

Why Infrastructure Security Is Not Enough to Protect Sensitive Data

Why Infrastructure Security Is Not Enough to Protect Sensitive Data

For years, security programs have focused on protecting infrastructure: networks, servers, endpoints, and applications. That approach made sense when systems were static and data rarely moved. It’s no longer enough.

Recent breach data shows a consistent pattern. Organizations detect incidents, restore systems, and close tickets, yet remain unable to answer the most important question regulators and customers often ask:

Where does my sensitive data reside?

Who or what has access to this data and are they authorized?

Which specific sensitive datasets were accessed or exfiltrated?

Infrastructure security alone cannot answer that question.

Infrastructure Alerts Detect Events, Not Impact

Most security tooling is infrastructure-centric by design. SIEMs, EDRs, NDRs, and CSPM tools monitor hosts, processes, IPs, and configurations. When something abnormal happens, they generate alerts.

What they do not tell you is:

  • Which specific datasets were accessed
  • Whether those datasets contained PHI or PII
  • Whether sensitive data was copied, moved, or exfiltrated

Traditional tools monitor the "plumbing" (network traffic, server logs, etc.) While they can flag that a database was accessed by an unauthorized IP, they often cannot distinguish between an attacker downloading a public template or downloading a table containing 50,000 Social Security numbers. An alert is not the same as understanding the exposure of the data stored inside it. Without that context, incident response teams are forced to infer impact rather than determine it.

The “Did They Access the Data?” Problem

This gap becomes pronounced during ransomware and extortion incidents.

In many cases:

  • Operations are restored from backups
  • Infrastructure is rebuilt
  • Access is reduced
  • (Hopefully!) attackers are removed from the environment

Yet organizations still cannot confirm whether sensitive data was accessed or exfiltrated during the dwell time.

Without data-level visibility:

  • Legal and compliance teams must assume worst-case exposure
  • Breach notifications expand unnecessarily
  • Regulatory penalties increase due to uncertainty, not necessarily damage

The inability to scope an incident accurately is not a tooling failure during the breach, it is a visibility failure that existed long before the breach occurred. Under regulations like GDPR or CCPA/CPRA, if an organization cannot prove that sensitive data wasn’t accessed during a breach, they are often legally required to notify all potentially affected parties. This ‘over-notification’ is costly and damaging to reputation.

Data Movement Is the Real Attack Vulnerability

Modern environments are defined by constant data movement:

  • Cloud migrations
  • SaaS integrations
  • App dev lifecycles
  • Analytics and ETL pipelines
  • AI and ML workflows

Each transition creates blind spots.

Legacy platforms awaiting migration often exist in a “wait state” with reduced monitoring. Data copied into cloud storage or fed into AI pipelines frequently loses lineage and classification context. Posture may vary and traditional controls no longer apply consistently. From an attacker’s perspective, these environments are ideal. From a defender’s perspective, they are blind spots.

Policies Are Not Proof

Most organizations can produce policies stating that sensitive data is encrypted, access-controlled, and monitored. Increasingly, regulators are moving from point-in-time audits to requiring continuous evidence of control.  

Regulators are asking for evidence:

  • Where does PHI live right now?
  • Who or what can access it?
  • How do you know this hasn’t changed since the last audit?

Point-in-time audits cannot answer those questions. Neither can static documentation. Exposure and access drift continuously, especially in cloud and AI-driven environments.

Compliance depends on continuous control, not periodic attestation.

What Data-Centric Security Actually Requires

Accurately proving compliance and scoping breach impact requires security visibility that is anchored to the data itself, not the infrastructure surrounding it.

At a minimum, this means:

  • Continuous discovery and classification of sensitive data
  • Consistent compliance reporting and controls across cloud, SaaS, On-Prem, and migration states
  • Clear visibility into which identities, services, and AI tools can access specific datasets
  • Detection and response signals tied directly to sensitive data exposure and movement

This is the operational foundation of Data Security Posture Management (DSPM) and Data Detection and Response (DDR). These capabilities do not replace infrastructure security controls; they close the gap those controls leave behind by connecting security events to actual data impact.

This is the problem space Sentra was built to address.

Sentra provides continuous visibility into where sensitive data lives, how it moves, and who or what can access it, and ties security and compliance outcomes to that visibility. Without this layer, organizations are forced to infer breach impact and compliance posture instead of proving it.

Why Data-Centric Security Is Required for Today's Compliance and Breach Response

Infrastructure security can detect that an incident occurred, but it cannot determine which sensitive data was accessed, copied, or exfiltrated. Without data-level evidence, organizations cannot accurately scope breaches, contain risk, or prove compliance, regardless of how many alerts or controls are in place. Modern breach response and regulatory compliance require continuous visibility into sensitive data, its lineage, and its access paths. Infrastructure-only security models are no longer sufficient.

Want to see how Sentra provides complete visibility and control of sensitive data?

Schedule a Demo

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Yair Cohen
Yair Cohen
January 9, 2026
3
Min Read
Data Security

How to Prevent Data Breaches in Healthcare and Protect PHI

How to Prevent Data Breaches in Healthcare and Protect PHI

Preventing data breaches in healthcare is no longer just about stopping cyberattacks. In 2026, the greater challenge is maintaining continuous visibility into where protected health information (PHI) lives, how it is accessed, and how it is reused across modern healthcare environments governed by HIPAA compliance requirements.

PHI no longer resides in a single system or under the control of one team. It moves constantly between cloud platforms, electronic health record (EHR) systems, business associates, analytics environments, and AI tools used throughout healthcare operations. While this data sharing enables better patient care and operational efficiency, it also introduces new healthcare cybersecurity risks that traditional, perimeter-based security controls were never designed to manage.

From Perimeter Security to Data-Centric PHI Protection

Many of the most damaging healthcare data breaches in recent years have shared a common root cause:

limited visibility into sensitive data and unclear ownership across shared environments.

Over-permissioned identities, long-lived third-party access, and AI systems interacting with regulated data without proper governance can silently expand exposure until an incident forces disruptive containment measures. Protecting PHI in 2026 requires a data-centric approach to healthcare data security. Instead of focusing only on where data is stored, organizations must continuously understand what sensitive data exists, who can access it, and how that access changes over time. This shift is foundational to effective HIPAA compliance, resilient incident response, and the safe adoption of AI in healthcare.

The Importance of Data Security in Healthcare

Healthcare organizations continue to face disproportionate risk from data breaches, with incidents carrying significant financial, operational, and reputational consequences. Recent industry analyses show that healthcare remains the costliest industry for data breaches, with the average breach costing approximately $7.4 million globally in 2025 and exceeding $10 million per incident in the U.S., driven by regulatory penalties and prolonged recovery efforts.

The scale and complexity of healthcare breaches have also increased. As of late 2025, hundreds of large healthcare data breaches affecting tens of millions of individuals had already been reported in the U.S. alone, including incidents tied to shared infrastructure and third-party service providers. These events highlight how a single exposure can rapidly expand across interconnected healthcare ecosystems.

Importantly, many recent breaches are no longer caused solely by external attacks. Instead, they stem from internal access issues such as over-permissioned identities, misdirected data sharing, and long-lived third-party access, risks now amplified by analytics platforms and AI tools interacting directly with regulated data. As healthcare organizations continue to adopt new technologies, protecting PHI increasingly depends on controlling how sensitive data is accessed, shared, and reused over time, not just where it is stored.

Healthcare Cybersecurity Regulations & Standards

For healthcare organizations, it is especially crucial to protect patient data and follow industry rules. Transitioning to the cloud shouldn't disrupt compliance efforts. But staying on top of strict data privacy regulations adds another layer of complexity to managing healthcare data.

Below are some of the top healthcare cybersecurity regulations relevant to the industry.


Health Insurance Portability and Accountability Act of 1996 (HIPAA)

HIPAA is pivotal in healthcare cybersecurity, mandating compliance for covered entities and business associates. It requires regular risk assessments and adherence to administrative, physical, and technical safeguards for electronic Protected Health Information (ePHI).

HIPAA, at its core, establishes national standards to protect sensitive patient health information from being disclosed without the patient's consent or knowledge. For leaders in healthcare data management, understanding the nuances of HIPAA's Titles and amendments is essential. Particularly relevant are Title II's (HIPAA Administrative Simplification), Privacy Rule, and Security Rule.

HHS 405(d)

HHS 405(d) regulations, under the Cybersecurity Act of 2015, establish voluntary guidelines for healthcare cybersecurity, embodied in the Healthcare Industry Cybersecurity Practices (HICP) framework. This framework covers email, endpoint protection, access management, and more.

Health Information Technology for Economic and Clinical Health (HITECH) Act

The HITECH Act, enacted in 2009, enhances HIPAA requirements, promoting the adoption of healthcare technology and imposing stricter penalties for HIPAA violations. It mandates annual cybersecurity audits and extends HIPAA regulations to business associates.

Payment Card Industry Data Security Standard (PCI DSS)

PCI DSS applies to healthcare organizations processing credit cards, ensuring the protection of cardholder data. Compliance is necessary for handling patient card information.

Quality System Regulation (QSR)

The Quality System Regulation (QSR), enforced by the FDA, focuses on securing medical devices, requiring measures like access prevention, risk management, and firmware updates. Proposed changes aim to align QSR with ISO 13485 standards.

Health Information Trust Alliance (HITRUST)

HITRUST, a global cybersecurity framework, aids healthcare organizations in aligning with HIPAA guidelines, offering guidance on various aspects including endpoint security, risk management, and physical security. Though not mandatory, HITRUST serves as a valuable resource for bolstering compliance efforts.

Preventing Data Breaches in Healthcare with Sentra

Sentra’s Data Security Posture Management (DSPM) automatically discovers and accurately classifies your sensitive patient data. By seamlessly building a well-organized data catalog, Sentra ensures all your patient data is secure, stored correctly and in compliance. The best part is, your data never leaves your environment.

Discover and Accurately Classify your High Risk Patient Data

Discover and accurately classify your high-risk patient data with ease using Sentra. Within minutes, Sentra empowers you to uncover and comprehend your Protected Health Information (PHI), spanning patient medical history, treatment plans, lab tests, radiology images, physician notes, and more. 

Seamlessly build a well-organized data catalog, ensuring that all your high-risk patient data is securely stored and compliant. As a cloud-native solution, Sentra enables you to scale security across your entire data estate. Your cloud data remains within your environment, putting you in complete control of your sensitive data at all times.

Sentra Reduces Data Risks by Controlling Posture and Access

Sentra is your solution for reducing data risks and preventing data breaches by efficiently controlling posture and access. With Sentra, you can enforce security policies for sensitive data, receiving alerts to violations promptly. It detects which users have access to sensitive Protected Health Information (PHI), ensuring transparency and accountability. Additionally, Sentra helps you manage third-party access risks by offering varying levels of access to different providers. Achieve least privilege access by leveraging Sentra's continuous monitoring and tracking capabilities, which keep tabs on access keys and user identities. This ensures that each user has precisely the right access permissions, minimizing the risk of unauthorized data exposure.

Stay on Top of Healthcare Data Regulations with Sentra

Sentra’s Data Security Posture Management (DSPM) solution streamlines and automates the management of your regulated patient data, preparing you for significant security audits. Gain a comprehensive view of all sensitive patient data, allowing our platform to automatically identify compliance gaps for proactive and swift resolution.

Sentra dashboard showing compliance frameworks
Sentra Dashboard shows the issues grouped by compliance frameworks, such as HIPAA and what the compliance posture is

Easily translate your compliance requirements for HIPAA, GDPR, and HITECH into actionable rules and policies, receiving notifications when data is copied or moved between regions. With Sentra, running compliance reports becomes a breeze, providing you with all the necessary evidence, including sensitive data types, regulatory controls, and compliance status for relevant regulatory frameworks.

Conclusion: From Perimeter Security to Continuous Data Governance

Healthcare organizations can no longer rely on perimeter-based controls or periodic audits to prevent data breaches. As PHI spreads across cloud platforms, business associates, and AI-driven workflows, the risk is no longer confined to a single system, it’s embedded in how data is accessed, shared, and reused.

Protecting PHI in 2026 requires continuous visibility into sensitive data and the ability to govern it throughout its lifecycle. This means understanding what regulated data exists, who has access to it, and how that access changes over time - across internal teams, third parties, and AI systems. Without this level of insight, compliance with HIPAA and other healthcare regulations becomes reactive, and incident response becomes disruptive by default.

A data-centric security model allows healthcare organizations to reduce their breach impact, limit regulatory exposure, and adopt AI safely without compromising patient trust. By shifting from static controls to continuous data governance, security and compliance teams can move from guessing where PHI lives to managing it with confidence.

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

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