Risks associated with the internet and data storage has grown parallel to its use.
Yet, organizations (and individuals) can protect themselves from cyber attacks using a variety of security technologies.
Security Technologies Used To Deter Hackers
Data Classification Security Technologies
What is data classification? It is the process of organizing structured and unstructured data into relevant categories. Broadly speaking, it is the foundation of data security.
Data classification allows for better protection and more efficient use of critical data across the organization. It’s essential for facilitating risk management, regulatory compliance, and legal discovery.
Safeguarding customer data or corporate data adequately requires an understanding of the data. For example: –
- What kind of data is being stored, such as personally identifiable information (PII), protected health information (PHI), intellectual property (IP).
- Where is the sensitive data stored?
- Who has access to the data and can change or delete information?
- What are the consequences to the organization if the data were to be leaked/destroyed/altered?
Today, organizations use AI and automated technology to classify the data they create or collect. Older data can be converted or left to retire gradually.
The classification process can be broken down into stages that can be tailored to meet an organization’s individual needs.
- Establish a policy
- Find out the currently stored data that needs protection
- Apply tags
- Improve security and compliance
- Continue to monitor
Types of data classification categories include internal data, public data, and restricted data, which can be used to define an initial model and then add further specific levels later, based on business needs and compliance rules.
Data classification facilitates an organization’s data security and compliance policy rather than a technology that actually ensures the security of information. It provides a solid foundation for a security strategy because it forces an organization to identify the data at risk.
Tokenization Security Technologies
Unlike encryption, sensitive data, such as bank account numbers and credit card numbers, is replaced by randomly generated numbers. Therefore, there is no mathematical relationship linking the token and the original information, making it difficult for hackers to access. A hacker would need to have access to the mapping database making the system a safe option.
Cloud Data Protection Security Technologies
Cloud-based internet security is an outsourced data storage solution that saves data on internet-connected servers instead of onto local hard drives. Data centers oversee these servers to keep the data accessible and secure.
Encrypting sensitive data and storing it in the cloud has become the standard for data storage. What was once a questionable act just a few years ago, cloud data storage now has over one billion business and individual users.
It’s not just businesses hosting client data or IT operations on these platforms anymore. Individuals use services like Google Drive, OneDrive, iCloud, and Dropbox to store everything from family photos to tax documents.
There are three types of cloud solutions – public cloud, private cloud, and hybrid cloud.
- Public Cloud: This security is well suited for unstructured data, for example, files in folders.
- Private Cloud: Also known as on-premises solutions. Users maintain unrestricted control over the system.
- Hybrid Cloud: Many companies choose to keep sensitive data on private clouds and high-volume files on the public cloud.
One of the most significant threats to cloud data protection is improper use. Employee errors account for more than 40% of data breaches in the corporate world. Unfortunately, no matter how secure the technology is, user mistakes can always jeopardize security. The most frequent mistake is poor password handling – repeated or weak passwords, passwords that don’t get changed often enough; passwords that are written down on unsecured documents all put data at risk.
With a large dose of general internet safety guidelines and robust security measures, cloud storage can be as secure as any other security technology.
Multi-Factor Authentication (MFA) Security Technologies
This security technology, also known as two-factor authentication or 2FA, is useful for preventing attackers from gaining access to protected data because it uses more than one credential to log in. This ‘zero trust’ approach is an integral part of security. If hackers do manage to crack a password, they cannot easily get codes sent to smartphones, for example.
There are two types of MFA:
- Device MFA — This technique applies MFA directly at the point of login to a system.
- Application MFA — This technique uses MFA upon access to an individual or set of apps, for example, Google Authenticator.
Once MFA is enabled within the account, the device needs to be paired with MFA software or an app. When a user signs in, a random number gets produced and is required to log in fully.
These tools could be leveraged to protect business systems, keep companies flowing smoothly, and helping them to focus on operations rather than remaining concerned about their security.
What security technologies to you like and trust? Have any let you down? Let us know in the comments section below.