Best data security platforms of 2025

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With rapid growth in data generation and data sharing, ensuring that its security has become a great necessity and challenge. Violations of data, electronic attacks and internal threats are the ongoing risks that require advanced solutions. This is where data safety platforms play, providing institutions with central tools and strategies to protect sensitive information and maintain compliance.

The main components of data security platforms

Effective DSPS is designed on many basic ingredients that work together to protect data from unauthorized access and abuse and theft. Ingredients include:

1. Discover and classify data

Before the data is secured, it must be classified and understood. DSPS usually includes tools that automatically discover and classify data based on their sensitivity and use. For example:

Personal definition information (pii): names, addresses, social security numbers, etc.

Financial data: credit card details, transactions records.

Intellectual property (IP): commercial secrets, royal designs.

Regulation data: information governed by laws such as GDP, HIPAA or CCPA.

By identifying and classifying data according to the level of allergies, institutions can give priority to their security efforts.

2. Data encryption

The encryption converts readable data into an unprecedented format, ensuring that even if the unauthorized users reach the data, they will not be able to explain it without the cipher key. Most DSPS supports different encryption methods, including:

REST encryption: Securing the data stored on drives, databases, or other storage systems.

Evolution within the transfer: protection of data while it is transferred between devices, networks or applications.

Modern DSPS often publishes advanced coding standards (AES) or your preparation solutions (byok), which ensures that data is safe even when using a third -party cloud storage.

3. Control of arrival and identity management

Managing those who have access to data are an important aspect of data safety. DSPS imposes roles -based access control control (RBAC), which only guarantees users and approved systems only access to sensitive information. With the integration of identity and access management (IAM), DSPS can enhance safety by combining authentication methods such as:

Biological measurements (for example a fingerprint or face recognition).

MFA authentication (MFA).

Behavior -based authentication (monitoring user procedures for abnormal cases).

4. Data loss (DLP)

DSPS data loss tools help prevent unauthorized participation or get rid of sensitive data. They monitor and control data flows, and prevent suspicious activity such as:

Send secret information via email.

Transfer sensitive data to unauthorized external devices.

Download the important files for non -approved cloud services.

By applying data processing policies, DSPS helps institutions to maintain control of their sensitive information.

5. Discover the threat and response

DSPS uses the detection systems supported by automated learning, artificial intelligence (AI), and behavior analyzes to determine unauthorized or harmful activity. Common features include:

Discovery of anomalies: determines unusual behavior, such as accessing files outside normal working hours.

Discovering the threat from the inside: He monitors employees or contractors who may abuse their access to internal data.

Real -time alerts: submit immediate notifications when discovering a possible threat.

Some platforms also include automatic response mechanisms to isolate the affected data or cancel the user accounts at risk.

6. Checking compliance and reporting

Many industries are subject to strict data protection systems, such as GDP, HIPAA, CCPA or PCI DSS. DSPS helps organizations comply with these laws through:

Data processing practices constantly monitor.

Defining detailed auditing paths.

Providing compliance templates that cause formation and reporting tools.

The features simplify organizational audits and reduce the risk of penalties not compliance.

The best data security platform for 2025

Whether you are a small company or a large institution, these tools will help you manage risk, secure databases and protect sensitive information.

1. Velotix

Velotix is an AI-based on-based data-based automation platform and smart control. It simplifies compliance with strict data systems such as GDP, HIPAA and CCPA, and helps institutions achieve the ideal balance between access and safety. Main Features:

AI’s accession governance: Velotix uses machine learning to ensure access to data only who need to see it, based on dynamic access policies.

Smooth integration: It is smoothly integrated with the current infrastructure through cloud and vitality environments.

Compliance automation: It simplifies meeting legal and regulatory requirements by automating compliance.

Expansion: ideal for institutions with complex data systems, and support hundreds of terabytes from sensitive data.

Velotix stands out for its ability to reduce the complexity of data governance, which makes it inevitable in the world of security companies today.

2. Nordlayer

Nordlayer, from NordVPN, provides a safe solution to reach the corporate network. Although it is the network safety tool in the first place, it doubles as a strong platform for data security by ensuring encryption from one end to the tip of your data during the crossing.

Main Features:

Zero Trust Security: It implements the zero confidence approach, which means that users and devices must be verified every time the data is accessed.

AES-256 encryption criteria: Data flows are protected by military row encryption.

The ingenuity of the cloud: supports hybrid and multi -missed environments to achieve maximum flexibility.

Rapid publishing: Easy to implement even for the smaller teams, which requires the minimum information technology participation.

Nordlayer guarantees safe contacts and blades between your team and the cloud, providing peace of mind when managing sensitive data.

3. Hashicorp Vauul

Hashicorp Vauult is a pioneer in secret management, encryption as a service, and identity -based access. It is designed for developers, it simplifies access to access without developing sensitive data, which makes it important to develop modern applications.

Main Features:

Secrets Management: Protecting sensitive accreditation data such as API keys, symbols and passwords.

Dynamic secrets: generating limited time accreditation data to improve safety.

Crypting as a service: provides flexible tools to encrypt any data across multiple environments.

Auditing: Monitor the attempts to access data for more accountability and compliance.

With a strong focus on the application level, Hashicorp Vauult is ideal for institutions that seek granular control in sensitive operational data.

4.

IMPERVA is a pioneer in the security of the database. It combines a risk solution and compliance with its database between analyzes, automation and monitoring in an actual time to protect sensitive data from breach and internal threats.

Main Features:

Monitor Database Activity (DAM): It tracks the actual database activity to determine unusual patterns.

Weak assessment: Wiping databases for security weakness and provides an enforceable treatment steps.

Cloud and hybrid publication: Supports flexible environments, from local publishing operations to modern cloud settings.

Preparation: Simsids the readiness of the scrutiny using detailed reporting tools and pre -defined templates.

IMPERVA tools are trusted by companies to secure the most secret databases, ensure compliance and first -class protection.

5. Eset

ESET, a known name in the field of cybersecurity, provides a safe solution at the level of the institution that includes strong data encryption tools. ESET is famous for protecting harmful programs, and combines the security of the end point with encryption to protect sensitive information.

Main Features:

End point encryption: The data remains protected even if the devices are lost or stolen.

Multiple Plastic Support: Works via Windows, Mac and Linux systems.

Discovering a pre -emptive threat: combines artificial intelligence with machine learning to detect potential threats before they hit.

Ease of use: The easy -to -use information panels provide intuitive management of safety policies.

ESET provides a comprehensive solution for companies that need to protect the end point, encryption, and proactive threats.

6. SQL is safe

It aims to database officials, SQL Secure provides specialized tools to protect SQL Server environments. It allows a detailed analysis of roles, which helps institutions to improve their database safety and prevent data leakage.

Main Features:

The role analysis: determines and reduces the tasks of excessive or not authorized permission.

Hide dynamic data: It protects sensitive data by blocking them in actual time in applications and information.

Customizable alerts: Restoring the difference about violations of access to an improper database or policy violations immediately.

Organizational compliance: pre -defined policies make it easy to compatible with GDP, HIPAA, PCI DSS and other regulations.

SQL Secure is a solution for companies that depend on SQL databases, providing immediate visions and work plans for the most strict security.

7.A Accra

ACRA is a modern and friendly encryption tool designed to encrypt data and manage a safe data life cycle. It tries encryption from applications, ensuring the protection of deep data at each level.

Main Features:

Experience the level of application: The developers enable the integration of the coding policies directly dedicated into their applications.

Impounds detection: Writers for data leakage with a strong mechanism to detect infiltration.

Data safety to one side: protecting data in comfort, in crossing, and using it, making it more varied than traditional encryption tools.

Availability of open source: trusted by developers thanks to its open source model, which provides transparency and flexibility.

ACRA is especially popular for startups and institutions that have technology that needs a lightweight approach to developers to secure application data.

8

Bigid focuses on privacy, discovering data and compliance with artificial intelligence to determine sensitive data across organized and unorganized environments. Bigid is one of the most comprehensive platforms for analyzing and protecting and protecting institutions data, and it is one of the most comprehensive platforms for analyzing and protecting institutions data and protecting institutions data, and it is one of the most comprehensive platforms for analyzing and protecting institutions data, known as data intelligence capabilities, known as data intelligence capabilities, one of the most comprehensive platforms for analyzing and protecting the institution’s data.

Main Features:

Data discovery: automatically sensitive data classification such as PII (personal identification information) and phi (protected health information).

Privacy in terms of design: designed to simplify compliance with global privacy laws such as GDP, CCPA and more.

Risk management: evaluating data risks and setting priority for important procedures.

Integration: Easily integrates with other safety platforms and providers of cloud services for a unified approach.

Bigid outperforms the disclosure of hidden risks and ensuring compliance, making it an essential tool for data -based institutions.

9. Datasunrise database safety

Datasunrise specializes in protecting the Wall to protect the databases and detects infiltration of a variety of databases, including SQL platforms, NOSQL settings, and cloud hosting solutions. It focuses on protecting sensitive data while providing strong monitoring in actual time.

Main Features:

Database protection wall: Trying unauthorized accessories with dizziness policies.

Discover sensitive data: Determines risky data in your interior database.

Auditing reports: Create detailed survey reports on database activity.

Consensus via platforms: works with mysql, postgresql, Oracle, Amazon Aurora, Snowflake, and more.

Datasunrise is very configured and developed, making it a strong choice for institutions that operate various database environments.

10. Kovax Polimer

Covax Polymer is an innovative data security platform intended to manage sensitive data in the core -based collaboration tools such as Slack, Microsoft Teams and Google Workspace. It is ideal for companies that rely on Saas Productivity applications.

Main Features: