Enterprise Data Management & Security
Protect enterprise data across multiple environments, meet privacy regulations and simplify operational complexity
What is Data Security?
Data security is the process of protecting corporate data and preventing data loss through unauthorized access. This includes protecting your data from attacks that can encrypt or destroy data, such as ransomware, as well as attacks that can modify or corrupt your data. Data security also ensures data is available to anyone in the organization who has access to it.
Some industries require a high level of data security to comply with data protection regulations. For example, organizations that process payment card information must use and store payment card data securely, and healthcare organizations in the USA must secure private health information (PHI) in line with the HIPAA standard.
Why is data security important?
Data security is the practice of protecting digital information from unauthorized access, corruption, or theft throughout its entire lifecycle. It’s a concept that encompasses every aspect of information security from the physical security of hardware and storage devices to administrative and access controls, as well as the logical security of software applications. It also includes organizational policies and procedures.
When properly implemented, robust data security strategies will protect an organization’s information assets against cybercriminal activities, but they also guard against insider threats and human error, which remains among the leading causes of data breaches today. Data security involves deploying tools and technologies that enhance the organization’s visibility into where its critical data resides and how it is used. Ideally, these tools should be able to apply protections like encryption, data masking, and redaction of sensitive files, and should automate reporting to streamline audits and adhering to regulatory requirements.
Types of data security.
Encryption
Using an algorithm to transform normal text characters into an unreadable format, encryption keys scramble data so that only authorized users can read it. File and database encryption solutions serve as a final line of defense for sensitive volumes by obscuring their contents through encryption or tokenization. Most solutions also include security key management capabilities.
Data Erasure
More secure than standard data wiping, data erasure uses software to completely overwrite data on any storage device. It verifies that the data is unrecoverable.
Data Masking
By masking data, organizations can allow teams to develop applications or train people using real data. It masks personally identifiable information (PII) where necessary so that development can occur in environments that are compliant.
Data Resiliency
Resiliency is determined by how well an organization endures or recovers from any type of failure – from hardware problems to power shortages and other events that affect data availability (PDF, 256 KB). Speed of recovery is critical to minimize impact.
Data Security VS Data Privacy
Data privacy is the distinction between data in a computer system that can be shared with third parties (non-private data), and data that cannot be shared with third parties (private data). There are two main aspects to enforcing data privacy:
- Access control—ensuring that anyone who tries to access the data is authenticated to confirm their identity, and authorized to access only the data they are allowed to access.
- Data protection—ensuring that even if unauthorized parties manage to access the data, they cannot view it or cause damage to it. Data protection methods ensure encryption, which prevents anyone from viewing data if they do not have a private encryption key, and data loss prevention mechanisms which prevent users from transferring sensitive data outside the organization.
Data security capabilities and solutions
Data security tools and technologies should address the growing challenges inherent in securing today’s complex, distributed, hybrid, and/or multicloud computing environments. These include understanding where data resides, keeping track of who has access to it, and blocking high-risk activities and potentially dangerous file movements. Comprehensive data protection solutions that enable enterprises to adopt a centralized approach to monitoring and policy enforcement can simplify the task.
Data discovery and classification tools
Sensitive information can reside in structured and unstructured data repositories including databases, data warehouses, big data platforms, and cloud environments. Data discovery and classification solutions automate the process of identifying sensitive information, as well as assessing and remediating vulnerabilities.
Data and file activity monitoring
File activity monitoring tools analyze data usage patterns, enabling security teams to see who is accessing data, spot anomalies, and identify risks. Dynamic blocking and alerting can also be implemented for abnormal activity patterns.
Vulnerability assessment and risk analysis tools
These solutions ease the process of detecting and mitigating vulnerabilities such as out-of-date software, misconfigurations, or weak passwords, and can also identify data sources at greatest risk of exposure.
Automated compliance reporting
Comprehensive data protection solutions with automated reporting capabilities can provide a centralized repository for enterprise-wide compliance audit trails.
TESTIMONIALS
People reviews for us
IT Manager
Manufacturing CompanyIT Director
Healthcare ServicesIT Manager
Warehousing CompanyIT Director
Government Services – Sharjah GovernmentDirector
Financial services- DIFCManager
Sports Entity- UAE GovernmentKey Benefits
Discover data security vulnerabilities in real time
Secure your data to prevent a catastrophic breach
Help simplify regulatory compliance
