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What is data fabric and how does it impact Cybersecurity?

3 Mins read

What is data fabric and how does it impact Cybersecurity?

Numerous firms have been searching for a better way to manage data amid the global digital transformation that is taking place at a rapid pace. Data fabric, which is still in its early stages of adoption, offers a wide range of opportunities as an integrated layer that unifies data from several endpoints.

With vulnerabilities affecting vital areas including healthcare, e-commerce, and manufacturing, cybercrime has risen to record levels.

What is data fabric?

In order to effectively connect and integrate processes across diverse resources and endpoints, data fabric is a contemporary data design idea. To assist the creation and deployment of reusable data across all environments, data fabric can continuously assess assets.

Data fabric locates and connects dispersed data by employing both human and machine skills. This promotes improved data management techniques, quicker decision-making, and re-engineering optimization.

To harmonize data and boost overall efficiency, humans and machines collaborate.

How does it work?

For businesses and organizations, data fabric architecture offers strategic security and financial benefits. Let’s review the six layers of data fabric to gain a better understanding of how it functions:

  • Data management — Governance and data security are handled by this layer.
  • Data ingestion — This layer looks for relationships between the two types of data.
  • Data processing — This layer cleans up the data to ensure precise and pertinent extraction.
  • Data orchestration — This layer transforms, integrates, and cleans the data to make it usable for teams.
  • Data discovery — This layer generates fresh chances to combine and create insights from many data sources.

Who can benefit from data fabrics?

The data fabric’s capacity to do away with silos and integrate data from diverse sources, however, opens up an infinite number of options.

Just a few particular use cases for data fabric architecture are listed below:

  • Customer profiles
  • Preventative maintenance
  • Business analysis
  • Risk models
  • Fraud detection

Advantages of data fabric architectures

Data fabric has already demonstrated a considerable improvement in workflow and product life cycle efficiency. Here are some further examples of how adopters can profit from a data fabric architecture aside from boosting corporate productivity:

  1. Intelligent data integrationAI-powered tools are used in data fabric architectures to combine data from various endpoints and data types. Data administration is now simpler than ever thanks to machine learning, knowledge graphs, and metadata management. A data fabric design automates data workloads to increase productivity while also removing segregated data, centralising data governance, and enhancing the quality of your business data.
  2. Better data accessibility
    With the use of data fabric, employees may prioritise activities more quickly and from a comprehensive business standpoint.
  3. Improved data protectionThe fact that data fabric implementation strengthens your data security posture may be the most important factor. With increased data privacy and widespread data access, you get the best of both worlds. With the aid of a unified data fabric, more data governance and security safeguards may be put in place. While still being able to access data based on user authorization, technical and data security teams can streamline the encryption and data masking processes..

Data fabric and cybersecurity

Data fabric serves as the base upon which all of your company’s data is built as a component of a strong cybersecurity ecosystem. When implemented properly, data fabric increases the effectiveness of corporate processes and enhances data safety by incorporating the best preventative measures.

Many people are concerned about the cybersecurity ramifications of data fabric because it serves as a single source for all business data. But before businesses have a chance to update their software, many criminals take advantage of these access points.

Cybersecurity mesh can help organisations that use data fabric by fusing automation with a strategic security strategy. In order for the data fabric to more effectively match these objectives, data mesh relies on the organisational structure to establish the data security requirements.

According to Gartner, firms that use a data fabric and cybersecurity mesh architecture will significantly lessen the financial toll of data breaches by 2024.

Data fabric is also essential to cybersecurity infrastructure because it requires that teams adopt a security-by-design outlook. With centralized data fabric built into your environment, organizations can greatly reduce their vulnerabilities and attack vectors from the inside out.

Putting it all together

Data fabric gives enterprises a mechanism to combine data sources from various users, platforms, and locations so that business data is accessible when needed. Although there are less problems with data management as a result, the centralized nature of this creates significant cybersecurity concerns.

To establish integrated security controls, including encryption, compliance, virtual perimeters, and even real-time automatic vulnerability mitigation, data fabric and cybersecurity mesh, however, collaborate.

Now, independent security systems guarding various data sources can cooperate to enhance security measures generally. A business-driven cyber strategy must include data fabric, particularly for sectors using hybrid cloud architectures, companies having trouble managing diverse data, and an ever-evolving cybersecurity scenario.

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