Automation in cyber security: a deep dive

In 2022, the internet is where relationships are born. Whether commercial relationships or personal ones, humanity depends on the internet for every mundane requirement. And without the same, the ever-rolling wheel of human progress will halt. We live in the age of globalization; the world is more connected with itself than ever. And to thrive amidst the progress and cope with the same, humans must spend the necessary amount of time on the internet. And during this time, the visitors generate a lot of data. Including personal information, intellectual properties, financial details, etc. for businesses and commercial entities, the data might include product details, performance stats, and even financial details.

Furthermore, in the post-pandemic, “stay-at-home” age, remote servers make it possible for employees to contribute and perform. These servers are the prime target of cyber-attacks. Due to their remote nature, they can be invaded easily and through them, the main servers can be subjected to attacks. The prevention of these attacks and breaches is humanly possible. But identification and mitigation of the same require a lot of time. Attackers can use this response time to get valuable data, defame the organization under attack, or even destroy the server. Cybersecurity AI comes into play precisely in this scenario. The following writeup will concentrate on the same and explain the role and applications of cyber security AIs.

Applications of cyber security AI

1.Access control

Access control is an excellent precautionary measure when it comes to limiting the use of software or hardware by chosen individuals. Cyber security AIs can automate identification and access management (IAM) and drastically improve the same.

2.Network Surveillance

Network surveillance is a routine process. The goal is to spot irregularities and abnormal activities on the network that can invite security risks. And this time-consuming, error-prone, and mundane process can also be outsourced to cybersecurity-related automation entities.

3.Risk management

Risk management AIs are concerned with spreading awareness regarding risky activities. And they make sure, the decisions do not involve an exploration of a risky territory. The risk factors are identified by extensive analysis of breach and mitigation data.

4.Protecting critical systems

Critical systems like online ticketing portals, billing servers, state-owned income tax servers, and essential helplines are essential for keeping a state alive and running. Securing these systems involves a rapid response in times of an attack, and putting the best software on the line as a barrier against attackers.

The advantages of Automated cyber security

Reputation management

The reputation of a commercial entity depends on its approach to privacy, its tendency to keep promises, efficiency at work, and the outcome of its operations. All of the same depends on adept management of data, maintenance of servers, and protection of the company interests on the internet. Applications of cyber security AI make it possible for the business to achieve all of the same without investing a lot of human resources. And due to the absence of human errors, these AI-dependent processes are expected only to become more and more efficient and perfect in terms of execution.

In addition to that, defamation hacks have also become commonplace. And the damages done in such operations are irreversible. Prevention and precautions are better than cure in these cases. And a cyber security AI ensures these attacks never happen by assessing the risks before onset and putting mitigation protocols in place. Something that, protects and upholds the reputation of a venture in 2022.

Eases up data management

The data volumes we need for decision-making, are gargantuan. And all of the same cannot be obtained by free means. Sensitive and personal data is often extremely valuable. And the access can be restricted to a few entities for security purposes. Any compromise on the front of security can threaten the privacy of a user base or customers. Therefore, the ventures that deal with private and sensitive information must have the amenities to protect the same. And an AI at the helm can mitigate all kinds of ordeals that may arise. These AIs cannot only stop the attacker but can also identify them by online signature and help with the prosecution.

Helps with facilitating remote work

Remote work involves working on remote servers that are connected to the main frame. And these remote islands are like welcoming easy prey for the attackers. The users can often be incapable of protecting their systems. And if they try, the same can take a lot of time for them. And during this time which is essential for detection and mitigation like changing passwords the hacker can reach the mainframe and succeed in their sinister venture. An AI in this case reduces the response time and protects the servers from the attacker before they can do any significant damage.


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