The Top 7 Big Data Security Changes for 2021
IT security managers say remote work will be the No.1 cybersecurity problem in 2021. But what big data challenges will businesses face in the next year?
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Join For FreeIT security managers say remote work will be the No.1 cybersecurity problem in 2021. But what big data challenges will businesses face in the next year? And how will businesses implement data security changes that solve these challenges?
We analyzed the findings of GetApp's 2020 State of Data Security Report, one of the biggest surveys of its kind. Eighty-three IT security managers took part in the report, which predicts, among other things, the biggest big data security challenges for the next calendar year. How can businesses respond to these challenges and execute big data security changes starting now?
1. Real-Time Compliance
Businesses rely on analytics to uncover correlations between data sets and generate insights, but much of this data comes from various locations and requires systems to extract and transfer data to one centralized destination. This presents multiple security challenges.
One of the biggest data security changes for 2021 will be real-time compliance that alerts businesses to various compliance-related issues such as data over-sharing or other regulatory violations. As a result, businesses enhance data governance and risk management.
Many businesses already have compliance protocols for big data, but not in real-time. Slower methods could prove costly, especially with ever-growing data governance laws and hefty penalties for non-compliance. Overall, awareness of data privacy regulations among IT professionals improved in 2020 — 78 percent of professionals are now familiar with GDPR and the California Consumer Privacy Act (CCPA), according to GetApp's report — but businesses still need to implement data security changes like real-time compliance when using ETL and other data integration methods in 2021.
2. Data Categorization Alternatives
GetApp's report notes that categorizing big data as 'public,' 'internal,' and 'confidential' proves insufficient for restricting data access and stopping data breaches. Data categorization might be effective for compliance and regulatory purposes, but other methods prove more efficient for overall data governance.
Eighty-two percent of companies in the report frequently categorize data, and 62 percent offer employees access to this data even though they don't need it. GetApp recommends authentication methods and data access controls (such as those outlined in the next section) as more effective weapons in the fight against data breaches.
3. Job-Critical Data Access
Companies that allow employees full access to big data are more likely to report a data breach than companies that limit data access, according to GetApps's report. Employees, therefore, should only access data critical to their job role.
The report reveals that 51 percent of all reported data breaches happen at companies that allow employees full access to big data. That's over four times higher than companies that limit data access (12.5 percent). Data security changes like managing account members who use an ETL or other data integration methods could limit data breaches significantly.
Implementing these changes now is useful, especially when organizations are encouraging employees to work from home until well into next year. Google, for example, anticipates its employees will not return to the office until at least summer. In GetApp's report, 45 percent of IT security managers said remote work security is the biggest threat for 2021, highlighting the need for major data security changes across all industries.
4. Data Encryption
One of the biggest data security changes in recent years is data encryption, which, among other things, lets businesses extract and load data from one location to a data warehouse without exposing it to unauthorized persons. Expect data encryption uptake to increase further as organizations prepare for data compliance in 2021.
Thus far, some businesses have resisted data encryption. But how much longer can they hold out? Alternative data security methods like password expiration programs cost money and makeup part of an 'outdated threat model.' Data encryption proves more effective when dealing with big data.
5. Industry-Specific Data Security Changes
Big data security changes are important for the accounting sector — the most high-risk industry for cyberattacks in 2020. Sixty-three percent of respondents in GetApp's report who work in accounting reported a ransomware attack in the previous 12 months — well above the 28 percent industry-wide average.
According to the report, the next highest at-risk sectors are:
- Banking and financial services
- IT services
- Digital marketing
- Education
These sectors rely on big data for analytics so businesses need to strengthen existing big data security models. However, these changes should be industry-specific. For example, financial companies should probably consider making a bigger investment in real-time compliance methodologies compared to, say, educational institutions.
6. Authentication
One of the biggest data security changes in 2020 was the rise of authentication methods to verify employees who access raw data and analytics, a trend seen across all facets of data management. According to GetApp's report:
- 82 percent of businesses used two-factor authentication in 2020.
- 53 percent used biometric data security, such as facial recognition and fingerprints — up from 27 percent in 2019.
Authenticating access to big data prevents insider threats and data breaches.
7. Wider Data Security Changes Across the Board
GetApp's report reveals that 86 percent of organizations worry about big data privacy, a 12 percent increase from a similar study GetApp conducted in July. Organizations realize the importance of:
- Protecting customer data
- Protecting company data
- The impact of COVID-19 on data security
- Customer expectations
- Data privacy regulations
Organizations that implement data security changes can solve these challenges when dealing with big data in 2021.
Published at DZone with permission of Abe Dearmer. See the original article here.
Opinions expressed by DZone contributors are their own.
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