The Differences between Data Privacy and Big Data Security Solutions

The Differences between Data Privacy and Big Data Security Solutions

Data drives the decision-making of a business. Companies gather huge amounts of detailed information from their data sources, which remains a target for cyber-criminals.

However, in many cases, companies find it difficult to understand the differences between data privacy and big data security.

The article discusses the differences and gives solutions to keep them secure across the organization.

What is Data Privacy?

Data privacy is related to protecting data, including access controls, security of sensitive data, data management, retention, and storage systems. It is also about how customer data is used, stored, and analyzed. Data privacy adds a layer of regulations to every data usage that companies comply with.

Enterprises should have strict data privacy regulations to comply with the business. They should also handle data privacy by using robust information security and data security management systems.

Data privacy depends on components such as:

  1. Data governance: It includes standards and practices required to secure, store, retain, and access data.
  2. Practices: Enterprises should implement best practices to guide and manage IT infrastructure and protection.
  3. Policies: CISOs must examine policies and establish business rules to protect users and organizational data.
  4. Legal framework: Enterprises must establish legal frameworks around data privacy to detect issues, loopholes, and threats. They should comply with the latest data usage laws.

Data privacy is a small part of the data protection concept. However, it is as important as other business assets. It covers all aspects related to data—from backups, methods of retrieving, usage, and recovery to security.

Privacy controls aim to ensure that data usage is ethical. Data users also need to ensure that the company complies with data privacy regulations.

Also, it deals with ensuring safe and seamless data availability across the business.

What is Big Data Security?

Big Data security is related to protecting the humungous amounts of data companies collect daily. kit could be about their market, their internal processes or even the customers.

This data needs to be extremely well protected. Any breach is a potential loss of huge monies as well as reputation. Customers do not look kindly upon companies to whom they entrust their data, and who lose it.

So, to keep their brand reputation safe and their coffers moving, organizations should take steps to protect their big Data bases.

CISOs should focus on developing and implementing data security strategies that predict and handle threats hacks, and report other threats. They should use new tools like AI and automation to identify risks. They can then stay prepared or plug the holes in time to protect the data from a breach.

Data information is valuable for businesses. It includes several details of business workflows, sensitive information, financial statistics, and even details of the company’s customers and clients.

Such information always remains under threat radar and is easy to breach. So, organizations should protect data information from both outside and insider threats.

Data security works on three concepts:

  1. Confidentiality
  2. Integrity
  3. Availability

Why Businesses Need to Understand the Difference?

Organizations should know the differences between data privacy and security to find solutions to manage security flaws. There are different solutions, methods to implement, and management for privacy and security.

They require different security approaches, tools, and strategies to handle. However, there are consequences for each of them if not implied properly.

  1. Risk data without proper security: Data information usually leaks when businesses lack security measures. These could be multi-factor authentication or identity management.
  2. Violate various privacy regulations: Violating data laws can bring any organization down. Several certifications and schemes are available; which organizations need to follow while using data.

It covers consent policies and distribution policies as well. Companies violating it can face fines and lose customers.

Solutions for Data Security

CISOs should focus on planning and investing in tools to protect data information. This is because keeping sensitive data secured is a legal requirement.

For this, they should maintain SOX compliance, compliance regulations under GDPR and CCPA, and PCI compliance.

Enlisting security solutions businesses require in this space.

  1. Data recovery software: It is important to protect data information. Organizations should have a robust recovery plan and the right tool to scan storage.

The software also segregates data per type and size, to comply with industry data privacy standards. It includes GDPR data, PCI DDS data, and IP.

Data discovery software gives insights into sensitive data files’ protection, location, and movement.

  1. Firewall: A firewall is a reliable defensive system. Firewalls protect against unusual traffic, viruses, and hacks accessing servers, networks, and systems. It limits malicious activities and manages breach activities.

Organizations should consider both software and hardware firewall solutions for big data security.

  1. Anti-virus and Anti-Malware Software restrict viruses and malware from entering networks. As viruses and malware are becoming smarter, these tools need to keep up too.

However, advanced antiviruses are helping in targeting and detecting the codes to remove threats like Trojans.

  1. Intrusion Detection and Prevention Systems (IDS/IPS): Inspection software monitors network traffic and logs suspicious activities. Their configuration evaluates system event logs and issue alerts.

CISOs should also focus on deploying IDS/IPS administrator and configure settings according to the data types.

The protocols can stop hackers from exploiting files or accessing file servers.

Solutions for Data Privacy

  1. Automate compliance policies: CISOs should follow regulations and compliance policies. They can implement compliance automation using AI to check systems for threats. The solution will replace manual processes and track all compliance procedures in one location.
  2. Centralize data encryption key management: Centralized data encryption manages both unstructured and structured data. It also includes data stored in hardware and software.
  3. Standards Compliance Management: CISOs should also focus on GRC solutions. Governance, risk management, and compliance (GRC) software allows enterprises to manage IT-related operations under standard data regulation.

It also ensures they meet compliance and risk standards.

The software helps companies to:

  1. Implement and maintain compliance standards, including GDPR
  2. Manage the overall compliance processes, including planning, implementation, review, and reporting of threats
  3. Includes data protection documentation

Also Read: Big Data and Privacy: Challenges, Mitigation, and Best Practices

The Bottom Line

The differences between data privacy and big data security are negligible but important to understand.

Realizing the differences between data security and privacy will help companies follow protection standards and management methods.

Many companies face major issues in managing and finding solutions because they find it difficult to secure them.

However, it’s important to be clear so companies can plan, budget, and invest to build a solution-driven mechanism. Doing it before any data security breach happens will save billions in costs and the brand.

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