Hongke Share | Data Security Situation Management: The Golden Guide to Win in the Future

Article source: Hongke Network Security
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Data Security Posture Management (DSPM) is a new approach to protecting cloud data that emphasizes the importance of data as the most valuable asset within an organization. As data volumes continue to increase in modern multi-cloud environments, so does the risk of data loss or leakage. This makes cloud data security a top concern for security professionals.

What is Data Security Posture Management (DSPM)?

DSPM provides a comprehensive view of factors affecting data security, including its location, who has access to it, and its security posture. Modern DSPM platforms automate the process of assessing and resolving security vulnerabilities in an organization's cloud environment. It works by taking data from existing security tools and cloud service providers, using artificial intelligence/machine learning to analyze and identify weaknesses. By following guidelines and using the right tools, organizations can protect their critical data efficiently and effectively.

How does DSPM work?

Data security posture management is a process designed to protect cloud data by discovering and analyzing data, detecting risky data, and remediating vulnerabilities. The discovery phase involves locating and understanding the data, which can be challenging in an agile environment. The detection phase involves identifying risky data by looking at access paths, misconfigurations, and vulnerabilities. The remediation phase focuses on resolving vulnerabilities and protecting data through collaboration between different teams. Due to the ever-changing nature of cloud environments and data usage, DSPM is an ongoing process.

Main features of the data security posture management platform

A data security posture management platform automates all aspects of cloud data security, including assessing security posture, detecting risks, and ensuring compliance. Here are the key features of DSPM:
· Agentless and compatible with major cloud providers
· Provides API access to integrate with existing tools
· Secure data management with role-based access control
· Use data discovery tools to identify sensitive data and continuously monitor new Data Store
· Provides automatic data classification upon creation/modification
· Manages access to data stores and helps detect redundant databases and excessive permissions
· Focuses on detecting vulnerabilities affecting sensitive data and privileged accounts
· Supports use for risk detection and Fixed custom rules, queries and workflows
· Ensure compliance with industry standards and regulations such as GDPR and HIPAA
· Generate reports to demonstrate compliance to relevant agencies.

How to use DSPM?

Data security posture management is primarily used by organizations that prioritize cloud-based infrastructure or transition from a hybrid cloud/on-premises setup. It has four main use cases:

1. Automatically discover and classify data across all repositories: Data security posture management helps security teams by automatically identifying, classifying, and validating data across all cloud accounts, including shadow and abandoned data stores.

2. Prevent cloud data exposure and reduce attack surface: DSPM allows security teams to minimize cloud data exposure and reduce potential attack surface by continuously inspecting data stores and resources for misconfigurations and vulnerable applications.

3. Track data access and enforce least privilege: DSPM enables security teams to easily view and manage access to all cloud data stores. It identifies excessive permissions and dormant users, allowing administrators to correct permissions and eliminate potential risks.

4. Proactively monitor compliance status: DSPM platforms help stakeholders meet compliance requirements by continuously checking baselines and policies. It helps identify sensitive data that needs to be encrypted and provides evidence for compliance audits.

Why is data security posture management needed?

In today's ever-changing threat landscape, the traditional moat/castle cybersecurity model is no longer reliable. This is because the attacker's target is no longer the castle itself, but the valuable data within it. Here are six reasons why organizations should prioritize data in their security strategy:

1. Risk of errors and data leakage in CI/CD practices: Continuous integration and continuous delivery (CI/CD) practices lead to frequent code changes and deployments, increasing the risk of errors and data leakage, especially in cloud environments.

2. Potential vulnerabilities in data movement: Machine learning (ML) workloads require large amounts of data, resulting in the creation of new data stores for testing and training. Moving production data to a non-production environment can lead to potential exploits.

3. Complexity of data security in modern application development: Modern application development relies on microservices, each with its own data store. As new features and microservices are introduced, protecting data becomes more complex, requiring automation to monitor and protect the increasing number of data stores and access paths.

4. The challenge of consistently applying security controls to data copies: Data copies exist in different cloud storage locations, making it challenging to apply security controls consistently. Prioritizing data in security policies automatically tracks and protects data no matter where it is stored.

5. Risk of unauthorized access due to misconfiguration: Misconfiguration in cloud infrastructure can lead to unauthorized access to data. A data-first approach ensures that access configurations are implemented correctly and applied consistently across all cloud data.

6. Precise control and monitoring of privacy regulation compliance: Complying with privacy regulations such as GDPR, PCI DSS, and HIPAA requires precise control and tracking of sensitive data. Data-first security policies automatically discover, classify and monitor protected data in the cloud.

How to start data security posture management

First, you need to identify the existing cloud provider you are using, such as AWS, Azure, Google Cloud, etc. It is also necessary to collect details about the cloud account such as account ID and nickname. Additionally, the authorized users who will operate the DSPM software should be listed, including their names, titles, email addresses, and other relevant information. It is recommended that security teams obtain a known inventory of data stores in the organization's cloud infrastructure before starting a trial. This checklist will serve as a baseline comparing what is known about the organization's data to what is discovered by data security posture management.

Hongke Data Security and Compliance Solutions

Hongke Lepide mainly provides data security and compliance solutions, aiming to help organizations protect their sensitive data, monitor data activities and meet compliance requirements. Here are some of the key features and capabilities of Lepide’s products:

• Data Auditing: Used to monitor and audit the entire IT infrastructure in real time, including Windows file servers, Active Directory, Exchange, SQL Server, SharePoint, and more. It helps you track user activity, detect potential threats, and generate compliance reports and alerts.
• Data Security Platform: This platform integrates Lepide Auditor as well as other data security tools to provide organizations with comprehensive data security solutions. It includes data classification, sensitive data discovery, risk assessment and data process analysis.
• Data Classification: Lepide’s data classification tools help organizations identify and classify their data to better manage and protect sensitive information.
• Data Discovery and Protection: This product helps you discover and prevent sensitive data leaks, including monitoring and protecting data in the cloud.
• Compliance monitoring: Lepide Auditor supports multiple compliance standards, including HIPAA, GDPR, PCI DSS, etc., and generates corresponding compliance reports.
• Security Incident Response: This product provides real-time alerts to help organizations quickly identify and respond to potential security threats.
• Data flow analysis: By analyzing the flow of data, Lepide helps organizations identify potential risks and illegal data activities.
• Permissions Analysis and Management: This tool helps you review and manage user permissions to reduce potential risks

Hongke Network Security

Hongke is a provider of resource integration and technical services in various specialized technical fields. The purpose of Hongke Network Security Division is: to make network security simpler. With profound industry experience and technology accumulation, in recent years we have established close cooperative relationships with the world's top suppliers in the industry, including Morphisec, DataLocker, Allegro, SSC, Mend, Apposite, Profitap, Cubro, Elproma, etc. Our solutions include endpoint security, data security, network security ratings, application security analysis, network traffic monitoring, network simulation testing and other industry-leading solutions. Hongke's engineers actively participate in the activities of domestic and foreign professional associations and alliances, and attach great importance to technical training and accumulation.
In addition, we actively participate in the work of industry associations such as the Industrial Internet Industry Alliance and China Communications Enterprises Association, making important contributions to the popularization of advanced technologies. We summarize sustainable and reliable solutions through continuous innovation and practice, insist on thinking with customers, discover and solve problems from an engineer's perspective, and provide customers with perfect solutions.