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Significance of AI in Cybersecurity


The adaptive nature of artificial intelligence (AI) makes it applicable to tackle the ever-changing security challenges of the world. The sensitive data stored by the companies can be kept safe from cyber criminals by implementing the automated threat detection system using AI. The role of AI cyber security is to protect the data and secure the company assets.

The key factors that facilitate the amalgamation of AI in cyber security are:
  1. Continuous learning is the requirement of machine learning and deep learning techniques in AI to acknowledge the behaviour of the network and the identifiable patterns of the cluster 
  2. Data Handling - Larger businesses are involved in the transfer and storage of humongous data on a daily basis. The security and evaluation of such data manually will be daunting and tedious. However, the AI can automatically allow collecting large volumes of data and safeguarding the same from potential threats
  3. Elimination of Monotonous Tasks - The attacks remain consistent though the cybercriminals change their tactics. AI’s continuous security procedure can assist cyber security experts to provide novel solutions for the critical challenges of the company
The set of improved outcomes expected because of AI’s integration in cyber security are:
  1. Inventory for IT Assets - The solutions provided by AI technology includes the consistent update of hardware and software user information, performance, and behaviour. Hence, the company benefits from monitoring the finer security practices and recognising the vulnerabilities
  2. Effective Control - Automatic assessment of security and analysis of the opportunities improve the company networks
  3. Provide Explanations - AI has the capability to provide suggestions and explanations required for the company stakeholders
How does AI help cyber security?

One of the crucial issues faced by cyber security professionals includes the processing of the huge data that is essential for cyber security decisions. The advantages of AI in cyber security include detection of new threats, blocking of bots, prediction of breaches, and protection from the endpoints.

Many organisations leverage artificial intelligence for cyber security.

Google implements deep learning techniques to improvise security and adaptability to technological changes. IBM Watson identifies effectively the security threats and consolidates knowledge. Jupiter Networks provide user-friendly and secure networks by innovating their autonomous AI

Does AI pose threats to cybersecurity?

AI is implemented by bad factors to breach the system. Some of the malicious factors of AI are: 

  1. Poisoning of Data - The attackers infuse an algorithm into the AI model to recognise the malicious data as benign
  2. GAN (generative adversarial network) is implemented to craft a mirror AI to imitate the traffic behaviour and extract the sensitive data
  3. Manipulation of Algorithms - Cyber criminals who understand the AI models can manipulate to execute incorrect practices 

It is crucial to know that AI technology is limited. The fact is that though AI models the real world complexity it has to be evaluated by humans to determine its reality representation and how the model can be tweaked. AI models assist the cyber security experts to judge and decide, however, it can never be the solution for all cybersecurity judgments and decisions.