7 major changes in big data security in 2021

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7 Major Changes in Big Data Security in 2021
How can companies respond to these challenges and implement big data security changes?
Some IT security managers said that remote work will become the top issue that needs to be
resolved in cybersecurity work in 2021.
What big data security challenges will companies face in 2021?
How can companies implement big data security changes to solve these challenges?
A "Data Security Survey Report 2020" was released recently, which is the largest data security
survey. 83 IT security department managers participated in this survey. Among other things, the
report also predicted the biggest challenge to big data security in 2021. So how do companies
respond to these challenges and implement big data security changes?
1. Real-time compliance
Enterprises rely on analysis to discover the correlation between data sets and generate insights,
but many data come from different locations, and the system needs to extract the data and
transmit it to a centralized location. This brings multiple security challenges.
One of the big data security changes in 2021 is real-time compliance, which can alert companies
to various compliance-related issues, such as excessive data sharing or other violations of privacy
regulations. Therefore, companies need to strengthen data governance and risk management.
Many companies already have compliance agreements for big data, but not in real-time.
Traditional methods can lead to high costs, especially when data governance regulations continue
to grow and violations will be severely punished. In general, in 2020, IT professionals' awareness
of data privacy regulations will increase.
According to a survey report released, 78% of professionals already understand GDPR regulations

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and the California Consumer Privacy Act (CCPA), but companies still need to implement big data
security changes, such as using ETL and other data integration methods in 2021 Always pay
attention to real-time compliance.
2. Alternative methods of data classification
The survey report pointed out that classifying big data as public, internal, and confidential data is
not sufficient to restrict data access and prevent data leakage. Data classification may be effective
for compliance and regulatory purposes, but it turns out that other methods are more effective
for overall data governance.
The report pointed out that 82% of companies often classify data, and 62% of companies provide
employees with access to this data, even if they don’t need the data. The report recommends the
use of identity verification methods and data access control as more effective measures against
data breaches.
3. Mission-critical data access
According to this survey report that allow employees full access to big data are more likely to face
data breaches than companies that restrict access. Therefore, employees of a company can only
access data that is vital to their job role.
The report shows that 51% of all data breaches occurred in companies that allow employees to
fully access big data, which is more than four times that of companies that restrict data access
(12.5%). Data security changes such as managing account members using ETL or other data
integration methods may well limit data leakage.
Implementing these changes now is very useful, especially if the organization's employees work
remotely from home. For example, Google expects that its employees will not be able to return
to work in the corporate office until at least this summer. 45% of IT security managers said that
the security of remote work is the biggest threat to face in 2021, which highlights the need for
major data security changes in various industries.
4. Data encryption
In recent years, one of the biggest changes in data security is data encryption, which enables
companies to extract data from one location and load it into a data warehouse without leaking
the data to unauthorized persons. As companies prepare for data compliance in 2021, the use of
data encryption is expected to increase further.
So far, some companies still have not implemented data encryption. Alternative data security
methods such as password expiration procedures will cost more and form part of the outdated
threat model. Facts have proved that data encryption is more effective when dealing with big
data.
5. Industry-specific data security changes
Big data security reform is very important to the accounting industry, which is the industry with
the highest risk of cyber attacks in 2020. In the survey report, 63% of respondents engaged in
accounting work said that in the past year, they had encountered ransomware attacks, which was
much higher than the industry average of 28%.
According to the report, other industries facing higher risks are:

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Banking and financial services
IT service
Digital marketing
Education
These industries rely on big data for analysis, so companies need to strengthen existing big data
security models. However, these changes should be industry-specific. For example, the financial
industry might consider making larger investments in real-time compliance methods compared to
educational institutions.
6. Identity Verification
One of the biggest data security changes in 2020 is the rise of authentication methods to verify
employees who have access to raw data and analysis. This trend pervades all aspects of data
management. The survey report shows:
In 2020, 82% of enterprises used two-factor authentication.
53% of organizations use biometric data security, such as facial recognition and fingerprints, up
from 27% in 2019.
Authenticating access to big data prevents insider threats and data leakage.
7. Comprehensive data security revolution
The survey report shows that 86% of companies are worried about the security of data privacy,
which is a 12% increase compared with a similar study conducted in July last year. Companies
realize the importance of the following:
Protect customer data
Protect corporate data
The impact of the coronavirus outbreak on data security
Customer expectations
Data privacy regulations
Organizations implementing data security changes will address these challenges when dealing
with big data in 2021.
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