It's no secret that technology drives the world we live in today. Without a doubt, the evolution of technology has transformed how humans interact with each other both in work and in play. In a personal aspect, nearly every individual on the planet has some form of an online presence through social media platforms. In a professional aspect, more and more individuals are earning their living by working remotely. While there are great benefits of being able to connect and work online, it also allows hackers more access to sensitive data. 

The global pandemic has also given rise to more online activity and has resulted in more individuals working online. As a result, employees have been sharing all types of data with their co-workers and bosses online and through cloud computing methods, sometimes even their company's sensitive data and information. While it may be necessary to share different types of data and company information online in a remote work environment, it is also essential that companies are diligent in their decision-making and action protocols when it comes to protecting their employees and their data from hackers cybercrime. 

IT security managers say remote work will be the No.1 cybersecurity problem in 2022. These threats highlight the data vulnerabilities that face many companies today while also raising questions as to how organizations can increase the information security sectors of their business. So, what big data security challenges will businesses face in the next year? And how will businesses implement data security changes that solve these challenges and protect their data vulnerabilities?

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 before 2022 is out? Read on to gain answers to your pressing data and information security questions to learn more about data protection regulation, the outlook of cybersecurity trends moving forward, and what cybersecurity experts have to save about big data security changes. 

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Table of Contents

  1. Real-Time Compliance
  2. Data Categorization Alternatives
  3. Job-Critical Data Access
  4. Data Encryption 
  5. Industry-Specific Data Security Changes
  6. Authentication 
  7. Wider Data Security Changes Across the Board
  8. How Solves Big Data Security Problems

1) Real-Time Compliance

Businesses rely on analytics to uncover correlations between data sets and generate insights. Still, 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 most significant big data security changes for 2022 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 2022.

2) Data Categorization Alternatives

GetApp's report notes that categorizing big data as "public," "internal," and "confidential" prove 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 and even phishing attacks. 

Recommended Reading:Data Security Threats and Compliance for 2022

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. Moreover, in GetApp's report, 45 percent of IT security managers said remote work security is the biggest threat for 2022, highlighting the need for major big data security changes across all industries in both the public and private sectors.

Recommended Reading:How to Prevent Data Breaches and 4 Ways to Respond 

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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 2022. 

Thus far, some businesses have resisted data encryption. But how much longer can they hold out? Alternative big data security methods like multi-factor authentication and password expiration programs cost money and makeup part of an "outdated threat model." Data encryption proves more effective when dealing with big data. Moving forward, organizations will need to take a hard look at the risk assessment of not utilizing data encryption when working with and sharing their company's sensitive 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 big data security changes in 2020 was the rise of authentication methods to verify employees who access raw data and analytics, a trend is 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
  • Customer expectations
  • Data privacy regulations
  • The impact the COVID-19 pandemic has had on data security 

Organizations that implement data security changes can solve these challenges when dealing with big data security in 2022. 

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How Solves Big Data Security Problems

Many cybersecurity risks happen during data integration when organizations move data from various locations to one centralized database for analytical purposes. Extraction, transformation, and loading processes, like other methods, can be a challenge because all data poses a security risk and is at stake to cyber threats, no matter how granular it is. If organizations are not investing in big data security software, then there is a real risk of their data being hacked before it reaches its intended endpoint. 

If organizations are serious about big data security changes for 2022 and want to protect their organization against data loss, they should invest in data integration tools like that follow the latest security protocols and compliance requirements. maintains the highest security and data protection standards, with SSL/TLS encryption, SOC 2 compliance, physical security powered by Amazon Web Service (AWS), network security, system security, GDPR, CCPA, and HIPAA compliance.

With the platform, you will also be able to design, build, and execute ETL pipelines without any experience necessary. These features and the toolkit as a whole will make conducting data analytics and managing data more efficient and effective for your company while also allowing you to better protect yourself against cybercriminals. With the many benefits and protection provides, you won't regret investing in this leading data management provider. 

Are you ready to discover more about the many benefits the platform can provide to your company? Contact our team today to schedule a 7-day demo or pilot and to learn more about how we can help you start reaching your goals today.