Cybersecurity and AI-The Real Deal
Machine learning and Artificial Intelligence are coming out as buzzwords to have hit the cybersecurity industry lately for GDPR certification. Artificial intelligence is adapted to replicate human behaviour and our ability to learn from our mistakes and past experiences. Today, any device that requires human-like intelligence to run some tasks would require the use of AI.
Types of AI
Depending on the need and the kind of work that needs to be done, there are three different types of AI.
Machine Learning:
It is a branch of Artificial intelligence which has been given machines today the power to think and take steps to protect themselves against any threat using advanced analysis techniques.
Knowledge representations:
This branch allows machines to solve even the most complex problem on their own.
Systems based on rules:
As the name suggests, these systems work according to the rules that are predetermined.
To make the systems today highly secure, the security agencies are making use of all these branches of AI today in various capacities.
Cybersecurity making use of AI
Despite the common misconception, it is not possible for a machine to outsmart human intelligence. Since, however, they both have their own strengths, it would be safe to say that to produce the best results and overcome challenges, the companies should be using these two side-by-side.
The biggest challenge faced by the cybersecurity companies today is analyzing the big chunks of data that keep piling up on a daily basis in huge quantities. For humans to understand and make sense of this random data is not possible. This is where AI comes to help. It helps automate tasks that would have otherwise taken too much time. To help the security analysts to be better at what they do, the AI is used in the following manner to ensure cyber essentials are fully met.
Recognition of pattern:
Types of AI
Depending on the need and the kind of work that needs to be done, there are three different types of AI.
Machine Learning:
It is a branch of Artificial intelligence which has been given machines today the power to think and take steps to protect themselves against any threat using advanced analysis techniques.
Knowledge representations:
This branch allows machines to solve even the most complex problem on their own.
Systems based on rules:
As the name suggests, these systems work according to the rules that are predetermined.
To make the systems today highly secure, the security agencies are making use of all these branches of AI today in various capacities.
Cybersecurity making use of AI
Despite the common misconception, it is not possible for a machine to outsmart human intelligence. Since, however, they both have their own strengths, it would be safe to say that to produce the best results and overcome challenges, the companies should be using these two side-by-side.
The biggest challenge faced by the cybersecurity companies today is analyzing the big chunks of data that keep piling up on a daily basis in huge quantities. For humans to understand and make sense of this random data is not possible. This is where AI comes to help. It helps automate tasks that would have otherwise taken too much time. To help the security analysts to be better at what they do, the AI is used in the following manner to ensure cyber essentials are fully met.
Recognition of pattern:
This usually involves understanding the patterns and similarities that exist in sender info or content to identify phishing emails, malware, and other harmful material.
Detection of an anomaly:
Detection of an anomaly:
This is crucial when it comes to preventing or detecting frauds especially in the banking sector. To help this, the AI spots any sort of unusual activity or processes or data that is observed in the system.
NLP or natural language processing:
NLP or natural language processing:
This is helpful as the AI here converts the unstructured texts of web pages to more structured forms for us to make sense of them.
Predictive analysis:
Predictive analysis:
This is perhaps one of the most useful aspects of AI. By taking into consideration the similarities and the underlying patterns, the received data is processed to make useful predictions and identify any outliers.
Today, given the huge number of cyber threats and attacks we have to face on a daily basis, using AI intelligently in the systems can prevent us from many downfalls. Cybersecurity is not just about protecting the network today but doing all that needs to be done to prepare it for the threats of tomorrow as well. Artificial intelligence is making that possible for us.
Today, given the huge number of cyber threats and attacks we have to face on a daily basis, using AI intelligently in the systems can prevent us from many downfalls. Cybersecurity is not just about protecting the network today but doing all that needs to be done to prepare it for the threats of tomorrow as well. Artificial intelligence is making that possible for us.
