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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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Aviv Zisso
Aviv Zisso
August 26, 2025
4
Min Read
Data Security

Global Travel Platform Secures Petabytes of Cloud Data in 30 Days

Global Travel Platform Secures Petabytes of Cloud Data in 30 Days

Introduction

Cloud-first travel platforms handle massive volumes of customer data every day, from booking details to payment information. With petabytes of data spread across hundreds of  cloud accounts, the stakes couldn’t be higher: customer trust, regulatory pressure (PCI DSS, GDPR), and business reputation are always on the line.

This is the story of how a global travel platform took action to ensure the highest level of customer data protection and set out to gain complete visibility and full control of its data estate, securing petabytes of sensitive information across 600+ cloud accounts in just 30 days.

At a Glance: Securing Petabytes at Scale

The Challenge

  • 100s of PBs of sensitive customer data
  • 600+ cloud accounts, 150K+ data stores
  • Manual tagging, blind spots, reactive DLP
  • Compliance risks (PCI DSS, GDPR)

The Solution

  • Sentra’s agentless DSPM platform
  • Automated discovery & AI-driven classification
  • Real-time data mapping and compliance alignment
  • Partnership-driven support and fast deployment

The Results

  • Full visibility across petabytes of data in 30 days
  • Streamlined governance across 600+ cloud accounts
  • Dramatic reduction in  false positives & alert fatigue
  • Stronger compliance with PCI DSS & GDPR
  • Data security transformed into a strategic advantage

The Challenge: Data Visibility at Scale

The travel tech company’s cloud footprint had grown rapidly, now its security practices needed to be brought up to speed. Relying on legacy Data Loss Prevention (DLP) tools left the security team in a reactive posture. Alerts were triggered only after data had already left the environment. In the high velocity world of digital travel, “too late” is not an acceptable outcome.

Manual tagging compounded the problem. It was slow, resource-intensive, inconsistent across teams, and prone to human error. With more than 600 cloud accounts and hundreds of petabytes of data in motion, the organization sought a reliable way to answer the most fundamental security questions:

  • What sensitive data do we have?
  • Where is it stored?
  • Who has access to it?

Answers to these three foundational questions would enable them to lock down exposure risk, misconfigurations, and regulatory noncompliance for sensitive customer information, including payment card data and personal identifiers.

Sentra Data Security: Scalable, Accurate, Agentless

After evaluating a wide mix of DLP and DSPM vendors, the company selected Sentra for its ability to deliver scale, accuracy, and scan efficiency.

  • Agentless discovery allowed rapid deployment across the entire multi-cloud environment without adding operational friction.
  • AI-driven classification replaced error-prone manual tagging, enabling sensitive data to be labeled consistently and accurately.
  • Regulatory mapping ensured risks were tied directly to frameworks such as PCI DSS and GDPR, making compliance reviews easier and faster.
  • Smart scanning lowered cloud compute costs and provided more timely results.

Just as importantly, Sentra’s customer success and engineering teams worked closely with the company. Rapid support and the ability to deliver custom features strengthened the partnership and accelerated adoption.

Implementation: Tackling Complexity Head-On

Securing hundreds of petabytes across over 600 cloud accounts, over 150K data stores, and 25K data storage locations was no small feat. The implementation involved coordination with six internal stakeholder teams.

Sentra’s engineering team collaborated directly with the customer to fine-tune scanning for high-memory formats and optimize scanning cycles. This ensured that even as the environment expanded, sensitive data could still be discovered, classified, and secured in near real time.

Despite the scope and complexity, deployment was completed on schedule. Within weeks, the company moved from chasing alerts to uncovering exposures proactively. Manual tagging errors were eliminated, and governance workflows became more consistent across business units.

Real Business Impact: From Reactive to Proactive

The shift in outcomes was dramatic. Within months, the security team achieved the visibility they sought. Instead of reacting to alerts, they were proactively discovering risks and preventing incidents before they escalated.

Key results included:

  • Discovery of sensitive data that had previously gone unnoticed
  • Streamlined governance across 600+ cloud accounts
  • Automated classification that reduced false positives and alert fatigue
  • Improved compliance posture with PCI DSS and GDPR

As one security engineering manager put it:

“The Sentra speed and support really stood out. We were able to quickly transform our approach from reactive alerts to proactive discovery. We’re not just detecting potential risks anymore; we’re gaining a comprehensive inventory of our data landscape across hundreds of petabytes, enabling us to truly protect our most critical assets.”

Sentra for Travel Tech: Setting the Pace

For travel technology companies, customer trust and agility are everything. Every transaction, every booking, every passenger record carries sensitive information that must be protected. At this scale, manual processes and reactive tools simply cannot keep up.

By adopting Sentra’s cloud-native DSPM platform, this global travel leader gained real-time visibility into its vast, fast-moving data estate. Booking and flight details, payment card data, and personal identifiers could now be classified automatically and governed consistently without slowing the pace of innovation.

What had once been a compliance bottleneck became a strategic advantage.

Bottom Line: Data Security is a Competitive Edge

The journey of this global travel platform illustrates what’s possible when scale, automation, and accuracy come together. In just 30 days, the company moved from dangerous blind spots to full visibility and control over petabytes of sensitive data.

But this is about more than one company’s success story. In the AI-powered economy, where data volumes are exploding and regulatory demands are intensifying, innovation speed without security is a liability. The leaders of the next decade will be those who can combine agility with trusted data security.

Sentra’s DSPM platform gives organizations the ability to:

  • Discover and classify sensitive data automatically
  • Map risks directly to compliance frameworks
  • Move from reactive alerts to proactive governance
  • Scale confidently across complex, cloud-first environments

This is about more than just compliance. For consumer industries like travel and hospitality, retail, financial services, and any enterprise that runs on data, it’s about protecting customer trust, unlocking innovation, and gaining a true competitive edge.

Discover how Sentra can help your organization secure its cloud data estate at scale.

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Meni Besso
Meni Besso
August 21, 2025
3
Min Read
Compliance

NYDFS 2.0: New Cybersecurity Requirements and Enforcement

NYDFS 2.0: New Cybersecurity Requirements and Enforcement

NYDFS Steps Up Enforcement

The New York State Department of Financial Services (NYDFS) has long been one of the most influential regulators in the financial sector, but over the past two years, it’s made one thing crystal clear: cybersecurity is no longer a back-office IT concern, it’s a regulatory priority.

In response to growing threats, increasing reliance on third-party services, and persistent operational risks, NYDFS has tightened its expectations around how financial institutions protect sensitive data. And it’s backing that stance with real financial consequences.

Just ask PayPal or OneMain Financial, two major firms hit with multimillion-dollar penalties for cybersecurity lapses. These weren’t headline-grabbing breaches or ransomware attacks, they were the result of basic control failures, delayed reporting, and repeated gaps in governance.

What do a $2M fine for PayPal and a $4.25M penalty for OneMain have in common?


Weak cybersecurity practices, and a regulator that’s no longer willing to wait for companies to catch up.

The Recent Crackdowns: PayPal and OneMain

a. PayPal – $2M Civil Penalty (January 2025)

In January 2025, NYDFS announced a $2 million penalty against PayPal for violations of its cybersecurity regulations under Part 500. The enforcement focused on failures to report a cybersecurity event in a timely manner and gaps in maintaining certain required controls.

The incident involved unauthorized access to over 34,000 user accounts, exposing sensitive personal data including tax IDs and financial information. NYDFS emphasized that PayPal’s delayed reporting and lack of specific security measures put both consumers and the broader financial ecosystem at risk.

What it signals: No company - not even a digital-native fintech giant is immune from enforcement. The bar is rising, and NYDFS is expecting organizations to report, respond, and remediate swiftly and transparently.

b. OneMain Financial – $4.25M Fine (May 2023)

In May 2023, NYDFS fined OneMain Financial $4.25 million after discovering systemic cybersecurity deficiencies, including improperly stored passwords, insufficient multi-factor authentication, and inadequate third-party risk management.

Even more concerning: many of these issues were identified in earlier audits and hadn’t been fully addressed. NYDFS made it clear that repeated inaction wouldn’t be tolerated.

What it signals: It’s not just about responding to one-off incidents — regulators are watching for long-term security maturity. Ongoing hygiene, policy enforcement, and consistent control testing are now table stakes.

What’s Changing: NYDFS 2.0 (Part 500 Amendments)

These enforcement actions aren’t just about past violations, they’re a preview of what’s to come.

With the rollout of the NYDFS Second Amendment to Part 500, also known as NYDFS 2.0, covered entities, especially those classified as Class A companies are facing a new set of enforceable expectations.

Key new requirements include:

  • Annual independent audits of cybersecurity programs
  • Mandatory multi-factor authentication (MFA) for all systems
  • Stronger access control policies, including role-based access
  • Board-level or senior executive oversight of cybersecurity governance

Full enforcement kicks in on November 1, 2025. At that point, these aren’t just checkboxes, they’re compliance requirements with real financial and reputational risk for falling short.

The message is clear: NYDFS is no longer satisfied with written policies and best-effort intentions. It's expecting demonstrated outcomes, measurable control, and leadership accountability.

The Broader Message: Enforcement Is the New Default

NYDFS isn’t the only regulator stepping up, but it’s arguably the most proactive, and most willing to act. These recent fines signal a broader shift across the industry: compliance is no longer about having good intentions or written policies. Regulators are now focused on evidence of execution, real controls, timely reporting, and provable outcomes.

In other words, enforcement is the new default. This shift reframes cybersecurity from a purely technical issue to a board-level governance challenge. It's not enough for IT or security teams to manage risk in isolation. Executive leadership, legal, and compliance functions all need to be aligned — and accountable.

If your organization is treating cybersecurity as just a tech responsibility, you’re behind.

What Organizations Should Do Now

The message from regulators is clear, and now is the time to act.

Here are four practical steps your team can take to stay ahead:

  • Audit your current posture against NYDFS Part 500. Focus especially on:
    • Incident reporting timelines
    • MFA coverage
    • Access controls
    • Third-party risk assessments

  • Prioritize visibility across your environment
    You can’t protect what you can’t see. Ensure you have continuous insight into where sensitive data lives, who can access it, and how it moves across cloud, SaaS, and on-prem systems.

  • Document everything
    Have clear records of your policies, security controls, vendor assessments, incident response processes, and risk decisions. If you had to prove your compliance tomorrow, could you?

  • Benchmark your controls against recent enforcement
    If PayPal and OneMain were fined for these issues, ask yourself:
    How would our program hold up under similar scrutiny?

Final Thoughts: Read the Signals Now, Not After a Fine

The writing is on the wall - NYDFS is raising the bar, and other regulators are likely to follow. This is your opportunity to get ahead of the curve, rather than scrambling after the fact.

Take these fines as what they are: a warning shot and a roadmap. Organizations that prepare now - with tighter controls, better visibility, and cross-functional ownership won’t just avoid penalties. They’ll be more resilient, more trusted, and better equipped to lead in a high-risk landscape.

If you’re not sure where to start, use these enforcement cases as a prompt for an internal review. And if you want to go deeper, we’ve put together a compliance checklist that can help you assess where you stand.

Better to find the gaps now before NYDFS does.

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Ward Balcerzak
Ward Balcerzak
August 18, 2025
4
Min Read
Data Security

CISO Challenges of 2025 and How to Overcome Them

CISO Challenges of 2025 and How to Overcome Them

The evolving digital landscape for cloud-first companies presents unprecedented challenges for chief information security officers (CISOs). The rapid adoption of AI-powered systems and the explosive growth of cloud-based deployments have expanded the attack surface, introducing novel risks and threats.

 

According to IBM's 2024 "Cost of a Data Breach Report," the average cost of a cloud data breach soared to $4.88 million - prompting a crucial question: Is your organization prepared to secure its expanding digital footprint? 

Regulatory frameworks and data privacy standards are in a constant state of flux, requiring CISOs to stay agile and proactive in their approach to compliance and risk management.

This article explores the top challenges facing CISOs today, illustrated by real-world incidents, and offers actionable solutions for them. By understanding these pressing concerns, organizations can stay proactive and secure their environments effectively.

Top Modern Challenges Faced by CISOs

Modern CISO concerns stem from a combination of technical complexity, workforce behavior, and external threats. Below, we explore these challenges in detail.

1. AI and Large Language Model (LLM) Data Protection Challenges

AI tools like large language models (LLMs) have become integral to modern organizations; however, they have also introduced significant risks to data security. In 2024, for example, Microsoft's AI system, Copilot, was manipulated to exfiltrate private data and automate spear-phishing attacks, revealing vulnerabilities in AI-powered systems.

Furthermore, insider threats have increased as employees misuse AI tools to leak sensitive data. For instance, the AI malware Imprompter exploited LLMs to facilitate data exfiltration, causing data loss and reputational harm. 

Robust governance frameworks that restrict unauthorized AI system access and implementation of real-time activity monitoring are essential to mitigate such risks.

2. Unstructured Data Management

Unstructured data (e.g., text, images, audio, and video files) is increasingly stored across cloud platforms, making it difficult to secure. Take the high-profile breach in 2022 involving Turkish Pegasus Airlines. It compromised 6.5 TB of unstructured data stored in an AWS S3 bucket, ultimately leading to 23 million files being exposed. 

This incident highlighted the dangers of poorly managed unstructured data, which can lead to severe reputational damage and potential regulatory penalties. Addressing this challenge requires automated classification and encryption tools to secure data at scale. In addition, real-time classification and encryption ensure sensitive information remains protected in diverse, dynamic environments.

3. Encryption and Data Labeling

Encryption and data labeling are vital for protecting sensitive information, yet many organizations struggle to implement them effectively. 

IBM's 2024 “Cost of a Data Breach Report” reveals that companies that have implemented security AI and automation “extensively” have saved an average of $2.2 million compared to those without these technologies.

 

The EU’s General Data Protection Regulation (GDPR) highlights the importance of data labeling and classification, requiring organizations to handle personal data appropriately based on its sensitivity. These measures are essential for protecting sensitive information and complying with all relevant data protection regulations.

Companies can enforce data protection policies more effectively by adopting dynamic encryption technologies and leveraging platforms that support automated labeling.

4. Regulatory Compliance and Global Standards

The expanding intricacies of data privacy regulations, such as GDPR, CCPA, and HIPAA, pose significant challenges for CISOs. In 2024, Microsoft and Google faced lawsuits for the unauthorized use of personal data in AI training, underscoring the financial and reputational risks of non-compliance.

Companies must leverage compliance automation tools and centralized management systems to navigate these complexities and streamline regulatory adherence.

5. Explosive Data Growth

The exponential growth of data creates immense opportunities but also heightens security risks. 

As organizations generate and store more data, legacy security measures often fall short, exposing critical vulnerabilities. Advanced, cloud-native, and scalable platforms help organizations scale their data protection strategies alongside data growth, offering real-time monitoring and automated controls to mitigate risks effectively.

6. Insider Threats

Both intentional and accidental insider threats remain among the most difficult challenges for CISOs to address. 

In 2024, a North Korean IT worker, hired unknowingly by an American company, stole sensitive data and demanded a cryptocurrency ransom. This incident exposed vulnerabilities in remote hiring processes, resulting in severe operational and reputational consequences. 

Combatting insider threats requires sophisticated behavior analytics and activity monitoring tools to detect and respond to anomalies early. Security platforms should provide enhanced visibility into user activity, enabling organizations to mitigate such risks and secure their data proactively.

7. Shadow Data

In the race to adopt new cloud and AI-powered tools, users are often generating, storing, and transmitting sensitive data in services that the security team never approved or even knew existed. This includes everything from unofficial file-sharing apps to unsanctioned SaaS platforms and ad hoc API integrations.

The result is shadow IT, shadow SaaS, and ultimately, shadow data: sensitive or regulated information that lives outside the visibility of traditional security tools. Without knowing where this data resides or how it’s being accessed, CISOs cannot protect it. These unknown data flows introduce real compliance, privacy, and security risk.

It is critical to expose and classify this hidden data in real time, in order to give security teams the visibility they need to secure what was previously invisible.

Overcoming the Challenges: A CISO's Playbook in 6 Steps

CISOs can follow a structured, data-driven, step-by-step playbook to navigate the hurdles of modern cybersecurity and data protection. However, in today's dynamic data landscape, simply checking off boxes is no longer sufficient—leaders must understand how each critical data security measure interconnects, creating a unified, forward-thinking strategy.

Before diving into these steps, it's important to note why they matter now more than ever: Emerging data technologies, rapidly evolving data regulations, and escalating insider threats demand an adaptable, holistic, and data-centric approach to security. By integrating these core elements with robust data analytics, CISOs can build an ecosystem that addresses current vulnerabilities and anticipates future data risks.

1. First, Develop a Scalable Security Strategy 

A strategic security roadmap should integrate seamlessly with organizational goals and data governance frameworks, guaranteeing that risk management, data integrity, and business priorities align. 

Accurately classifying and continuously monitoring data assets, even as they move throughout the organization, is a must to achieve sustainable scale. This solid data foundation empowers organizations to quickly pivot in response to emerging threats, keeping them agile and resilient.

The next step is key, as the right mindset is a must.

2. Build a Security-First Culture

Equip employees with the knowledge and tools to secure data effectively; regular data-focused training sessions and awareness initiatives help reduce human error and mitigate insider threats before they become critical risks. By fostering a culture of shared data responsibility, CISOs transform every team member into a first line of defense. 

This approach ensures that everyone is on the same page toward prioritizing data security. 

3. Leverage Advanced Tools and Automation

Utilize state-of-the-art platforms for comprehensive data discovery, real-time monitoring, automation, and visibility. By automating routine security tasks and delivering instant data-driven insights, these features empower CISOs to stay on top of new threats and make decisions based on the latest data. 

Naturally, even the best tools and automation require a strategic, data-centric approach to yield optimal results.

4. Implement Zero-Trust Principles 

Implement a zero-trust approach that verifies every user, device, and data transaction, ensuring zero implicit trust within the environment. Understand who has access to what data, and implement least privilege access. Continuous identity and device validation boosts security for both external and internal threats. 

Positioning zero trust as a core principle tightens data access controls across the entire ecosystem, but organizations must remain vigilant to the most recent threats.

5. Evaluate and Update Cybersecurity Frameworks

Regularly assess security policies, procedures, and data management tools to ensure alignment with the latest trends and regulatory requirements. Keep a current data inventory, and monitor all changes. Ongoing reviews maintain relevance and effectiveness, preventing outdated defenses from becoming liabilities.

For optimal data security, cross-functional collaboration is key.

6. Encourage Cross-Departmental Collaboration

Work closely with other teams, including IT, legal, compliance, and data governance, to ensure a unified and practical approach to data security challenges. Cooperation among stakeholders accelerates decision-making, streamlines incident response, and underscores the importance of security as a shared enterprise objective.

By adopting this data-centric playbook, CISOs can strengthen their organization's security posture, respond to threats quickly, and reduce the likelihood and impact of breaches. Platforms such as Sentra provide robust, data-driven tools and capabilities to execute this strategy effectively, enabling CISOs to confidently handle complex cybersecurity landscapes.  When these steps intertwine, the result is a robust defense that adapts to the ever-shifting digital landscape - empowering leaders to stay one step ahead.

The Sentra Edge

Sentra is an advanced data security platform that offers the strategic insights and automated capabilities modern CISOs need to navigate evolving threats without compromising agility or compliance. Sentra integrates seamlessly with existing processes, empowering security leaders to build holistic programs that anticipate new risks, reinforce best practices, and protect data in real time.

Below are several key areas where Sentra's approach aligns with the thought leadership necessary to stay ahead of modern cybersecurity challenges.

Secure Structured Data

Structured data - in tables, databases, and other organized repositories, forms the backbone of an organization’s critical assets. At Sentra, we prioritize structured data management first and foremost, ensuring automation drives our security strategy. While securing structured data might seem straightforward, rapid data proliferation can quickly overwhelm manual safeguards, exposing your data. By automating data movement tracking, continuous risk and security posture assessments, and real-time alerts for policy violations, organizations can offload these burdensome yet essential tasks. 

This automation-first approach not only strengthens data security but also ensures compliance and operational efficiency in today’s fast-paced digital landscape.

Secure Unstructured Data

Securing text, images, video, and other unstructured data is often challenging in cloud environments. Unstructured data is particularly vulnerable when organizations lack automated classification and encryption, creating blind spots that bad actors can exploit.

 

In response, Sentra underscores the importance of continuous data discovery, labeling, and protection—enabling CISOs to maintain visibility over their dynamic cloud assets and reduce the risk of inadvertent exposure.

Navigate Complex Regulations

Modern data protection laws, such as GDPR and CCPA, demand rigorous compliance structures that can strain security teams. Sentra's approach highlights centralized governance and real-time reporting, helping CISOs align with ever-shifting global standards.

 

By automating repetitive compliance tasks, organizations can focus more energy on strategic security initiatives, ensuring they remain nimble even as regulations evolve.

Tackle Insider Threats

Insider threats—accidental and malicious—remain one of the most challenging hurdles for CISOs. Sentra advocates a multi-layered strategy that combines behavior analytics, anomaly detection, and dynamic data labeling; this offers proactive visibility into user actions, enabling security leaders to detect and neutralize insider risks early. 

Such a holistic posture helps mitigate breaches before they escalate and preserves organizational trust.

Be Prepared for Future Risks

AI-driven attacks and large language model (LLM) vulnerabilities are no longer theoretical—they are rapidly emerging threats that demand forward-thinking responses. Sentra's focus on robust data control mechanisms and continuous monitoring means CISOs have the tools they need to safeguard sensitive information, whether it's accessed by human users or AI systems. 

This outlook helps security teams adapt quickly to the next wave of challenges. By emphasizing strategic insights, proactive measures, and ongoing adaptation, Sentra exemplifies an industry-leading approach that empowers CISOs to navigate complex data security landscapes without losing sight of broader organizational objectives.

Conclusion

As new threat vectors emerge and organizations face mounting pressures to protect their data, the role of CISO will become even more critical. Addressing modern challenges requires a proactive and strategic approach, incorporating robust security frameworks, cutting-edge tools, and a culture of vigilance.

Sentra's platform is a comprehensive data security solution designed to empower CISOs with the tools they need to navigate this complex landscape. By addressing key hurdles such as AI risks, structured and unstructured data management, and compliance, Sentra enables companies to stay on top of evolving risks and safeguard their operations. The modern CISO role is more demanding than ever, but the right tools make all the difference. Discover how Sentra's cloud-native approach empowers you to conquer pressing security challenges.

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