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U2 lab™ - smart tech solutions / cybersecurity
Information and Data Security
Implementation of a robust data storage mechanism to ensure data integrity and privacy, both in storage and in transit.
Information and Data Security
The practice of protecting digital information against unauthorized access, corruption, or theft throughout its life cycle.
It covers all aspects 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 the organization's policies and procedures.
Importance
When implemented correctly, strong data security strategies will protect an organization's information assets against cybercriminal activities, but also against insider threats and human error, which remain a leading cause of data breaches.
Data security involves the use of tools and technologies that offer improvements to the organization in terms of visibility of where critical data is located and how it is used.
Ideally, these tools should be able to apply protections such as encryption, data masking, and redaction of sensitive files, as well as automate reporting to streamline audits and meet regulatory requirements.
Business Challenges
Digital transformation is profoundly altering all aspects related to the operation of companies and the competition between them.
The volume of data that companies create, manipulate and store is growing and this generates a greater need for data governance.
Computing environments are more complex than before (cloud, IoT, smartphones, tablets, etc.).
This complexity creates an expanded "attack surface" that is more difficult to monitor and protect.
The importance of data privacy is increasing: "General Data Protection Regulation" (GDPR).
The business value of data has never been higher.
The loss of trade secrets or intellectual property can affect future innovations and profitability.
Types of Data Security
Encryption: using an algorithm that transforms plain text characters into unreadable format, encryption keys scramble the data so that only authorized users can read it.
Data erasure: more secure than standard data wipe; uses software to overwrite data on any storage device; verifies that the data cannot be recovered.
Data masking: allows teams to develop applications or train people using real data; masks "personally identifiable information" (PII) when necessary so that development can occur in compliant environments.
Data resilience: determined by how well an organization withstands or recovers from any type of failure, whether it is a hardware issue, a power outage, or another event that may impact data availability; the speed of recovery is essential to minimize the impact.
Data Security Tools
Data detection and classification: automate the process of identifying sensitive information, as well as evaluating and correcting vulnerabilities.
Monitor data and file activities: analyze data usage patterns, allowing security teams to see who is accessing data, detect anomalies, and identify risks.
Risk analysis and vulnerability assessment: facilitate the process of detecting and mitigating vulnerabilities, such as outdated software, incorrect configurations or weak passwords, and identify data sources with a higher risk of exposure.
Automated compliance reporting: can provide a centralized repository for tracking enterprise-wide compliance audits.
Data Security Strategies
It incorporates people, processes and technologies.
Establish appropriate controls and policies.
Implement a correct set of tools.
Prioritize information security in all areas of the company.
Data Security Measures
Physical security of servers and user devices: it must ensure that facilities are protected from intruders and have appropriate fire suppression measures and climate controls.
Access management and controls: "least privilege" principle; grant access to databases, networks, and administrative accounts to as few people as possible, and only to those who truly need it to do their jobs.
Security and application patching: all software programs should be updated to the latest version as soon as possible once patches or new versions become available.
Backups: maintain usable, thoroughly checked backups of all critical data.
Employee training: good security practices, secure passwords, social engineering, etc.
Security monitoring and controls of networks and endpoints: tools and platforms for management, detection and response to threats in local environments and cloud platform.
Data Security Trends
Artificial intelligence (AI): amplifies the capability of a data security system; can process large amounts of data; allows you to make decisions quickly.
Multicloud security: requires more complex solutions; protection, not only for data, but for applications and business processes running in public and private clouds.
Quantum computing: encryption algorithms will become much more multifaceted, complex and secure.
BYOD ("Bring Your Own Device"): asking employees who use them to install security software to access corporate networks; improves centralized control and visibility of data access and movement; strong passwords; multi-factor authentication; periodic software update; device backups; data encryption.
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