Components and Modern Technologies in Cybersecurity Strategies

Cybersecurity Strategies

In this post we will look at the components of a cybersecurity strategy and the technologies that go into it.

Components That Form Part Of A Cyber Security Strategy

To implement a robust cybersecurity strategy a coordinated approach is required. There are also 3 aspects of a business that need to be involved in such a strategy, and they are the people, the business processes and technology.

In the next 3 sections we will look at the key aspects previously mentioned in a bit more detail.


It is important that continuous education and training of employees is done in terms of cybersecurity best practices. This will help to reduce oversight risks that might result in breaches. 

The main reason for this continuous education and training is that a companies employees are not aware of the latest cybersecurity threats and best practices to keep their devices and infrastructure safe.


Developed by a companies cybersecurity team, it is important that a robust security framework is developed that provides continuous monitoring and reporting of known vulnerabilities in an organizations infrastructure.

This framework is the companies tactical plan that helps to ensure a business responds and recovers in a quick and efficient manner from any security incidents.



Businesses use various cybersecurity technologies to keep their devices and infrastructure safe from malicious threat actors.

Some of the standard technologies used are firewall, antivirus, malware detection and DNS filtering.

Companies might choose to augment their base stack with newer technologies such as zero trust.

In the next sections we will look at some of the modern cybersecurity technologies which companies my choose to augment and enhance their base technology stack.

Modern Cybersecurity Technologies

Zero Trust

This is the concept that takes the assumption that no applications or users are trusted by default, even if the system is internally hosted within the business.

This model takes the approach of least privilege in terms of access control.

This requires stringent authentication from those responsible as well as continuous monitoring of applications.

One can see from AWS, which uses such zero trust principles, to authenticate and validate every single API request.

Behavioral Analytics

The monitoringof data transmissions from devices as well as networks to detect suspicious activities and abormal patterns is known as behavioral analytics.

An example of this would be if you get an alert of a sudden spike in data transmissions or downloads of a suspicious file to a specific device falls under behavioral analytics.

Intrusion Detection System (IDS)

Such a system is used to identify and quickly respond in the case of a cyber attack.

Modern day solutions now incorporate machine learning & data analytics to uncover hidden threats on a companies infrastructure.

This mechanism also collects a data trail in the event of a security breach, which in turn helps the security team to discover the origins of the source.


Cloud Encryption

Cloud encryption is used to scramble data before it is stored in cloud databases. 

This ensures unauthorized parties cannot maliciously use the data that they might obtain in a breach.

On Amazon AWS, AWS Key Management Services is used to take control of data encryption workloads.


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