TOP ARTIFICIAL INTELLIGENCE TRENDS IN CYBER SECURITY

TOP ARTIFICIAL INTELLIGENCE TRENDS IN CYBER SECURITY

Artificial intelligent is defined as the study of intelligent agent and devices that perceives the environment around and takes some actions for its chance of success at some goals and it also plays an important role in all fields AI robots are one of the major invention in recent years it takes the actions, control and activities of human environment and replicates the same and AI can encompass anything from google search algorithm

In Today’s Artificial Intelligence made to perform a narrow task it’s meant to drive a car by its own but when compared to narrow AI Many researches plan to create a general (AGI or strong AI) because the narrow AI can perform each and every task of the human and it may also lead to some dangerous activities it plays a major drawback on creating a narrow AI

ADVANTAGES OF ARTIFICIAL INTELLIGENCE:

Artificial Intelligence is used in a complicate mixture of computer science, Mathematics and other complex sciences major advantage of artificial intelligence as follows

• Error Reduction
• Difficult Exploration
• Daily Application
• Digital Assistance
• Repetitive jobs
• Medical Application
• No Break

ERROR REDUCTION:

It is mainly used to detect and minimize the errors and also executes the result at higher accuracy and AI helps us to study about the concept involved in the exploration of space and AI created robots are used to transfer information across the space and robots transfers the information’s to the space are highly secured and they cannot be modified or copied by a normal human

DIFFICULT EXPLORATION:

It involves the science of robots, process of mining and other fuel exploration purposes and it acts not only in the complex behavior but also in the exploration of space due to its programming ability it can performs the process more than human’s behavior

In Mining AI places an important role to detect the exact place for digging to find out the non-artificial products like the coal, gold, silver and research made by the Goldcorp team up with the IBM Watson to develop an advanced feature by AI to find out the Non Artificial product locations

Reference Link: https://www.techemergence.com/ai-in-mining-mineral-exploration-autonomous-drills/

DAILY APPLICATION:

Computed Methods for Automated testing, Learning, reasoning and our other daily activities lies under AI. Cortana and Siri are used as a Virtual Search engine to help us out, tracking software like Map and cab booking are worked under GPS. Smartphone are on the perfect example for artificial intelligence, security chips placed in the ATM card follows AI to secure themselves from fraud

DIGITAL ASSISTANCE:

Highly advanced Organization used ‘avatar’ to minimize the work of humans and interacts with the clients and performs the task based on their requirements and many peoples started to use the robots in hotel for serving purpose and google lens is an another advanced method to connect with internet without the authentication process

REPETITIVE JOBS:

Repetitive jobs are monotonous in nature and it can be used in the purpose of machine intelligence and the machine thinks faster than humans in our life Machine Intelligence can assigned to perform some dangerous tasks because we can set some parameters for robots to perform their action it process the working methods in a secured manner and executes a better results than humans, Play Station is one of the best example when we are playing the one component is user and the another component is the AI and it capture the movement of the user and displays the same actions on the screen

MEDICAL APPLICATION:

In Medical field Doctor’s assess the patient and their health risk by the method of artificial intelligence and it guides the patient to be aware from medicine side effects, it finds a huge application in detecting and finding the neurological disorders and it capture the actions performed by the brain and nowadays in medical application it’s been developed to the digital body scanning (to scan over your whole body) in an automated manner.

Reference Link: https://www.youtube.com/watch?v=DCtAxUB1bvI

NO BREAK:

Machines unlike humans do not requires frequents break and refreshments they are performed for long hours and can continuously perform without getting bored or distracted or even tired

DISADVANTAGES OF ARTIFICIAL INTELLIGENCE

• High Cost
• No Replicating humans
• No improvement with experience
• Unemployment

HIGH COST:

Creation of the Artificial Intelligence machines or robots charges high cost when compared to the other automated machines and the repair and maintenance require high cost and AI also needs some upgrades to develop its level day by day and when the AI machine gets breakdown or any maintenance report leads to high cost to recover the codes (or) to repair the machine so it considered to be the major drawback of Artificial Intelligence

NO REPLICATING HUMANS:

Machine do not have emotions it leads to the drawback of AI because at certain situations they do not know to take the correct decisions at a specific time. The either perform incorrectly or breakdown in such situations

NO IMPROVEMENT WITH EXPERIENCE:

Unlike humans artificial intelligence cannot be calculates its experience based on its time they are different from humans and AI stores lots of data but it fails to access at time when it is needed and it does not any care or emotional feeling like human and it’s one of the drawback of AI from humans, they fail to distinguish between the hardworking individual and inefficient individual

UNEMPLOYMENT:

Replace of humans with machines lead to the large scale of unemployment and Unemployment is one of the most socially undesirable phenomenon and Humans are becoming lazy nowadays and they started to use machine to complete their work and this lead to the unemployment of many peoples and if humans starts thinking in a destructive way it leads to the create havoc with this machine, when artificial intelligence takes plays in a destructive way it leads to any kind of massive destructions in the world

ROLE OF AI IN CYBER SECURITY:

Machine Learning and artificial Intelligence plays an important role across industries and applications that has been used for computing power, data collections and analyzing against vulnerabilities etc.

By using AI we can perform any kinds of exploits and it detects the vulnerabilities in an easier and automated way in many cyber security organization’s employees were started to Learn AI and Machine Learning to develop their standards to next level in Artificial Intelligence

 TOP TRENDS IN CYBER SECURITY:

GDPR (GENERAL DATA PROTECTION REGULATION):

It’s mainly prepared for the European Union’s, of how to store your personal Data in a secured manner and it also mainly created for the EU Citizens because they are not complete with it and many Organization are expected to start GDPR for May.

AI AND MACHINE LEARNING ON CYBER DEFENSE:

AI and Machine learning plays an important role in cyber defense and machine learning modules detects the exact moves of the cyber security criminals and it helps the InfoSec professional’s in a greater way

HANDLING DATA BREACHES:

It’s impossible to eradicate data breaches completely and many organization’s started to control data breaches with some condition’s through monitoring IOT Devices to get control from DDOS attacks or misdirecting potential victim’s and failing to patch a known vulnerabilities and we can hope that the data’s could be  entirely controlled in the upcoming years

DEVELOPING A COMMON LANGUAGE:

There is a positive growth of development in cybersecurity realm and not least the creation and adoption of thing’s like NIST Cybersecurity framework and more cybersecurity experts and organization’s planning to develop a common language in the field of cybersecurity to make the process easier.

APPLICATION TESTING:

Application testing leads to the large amount of the data breaches because the security testing in application’s are not properly maintained and to control these everyone should put a  fresh efforts into patching and app testing in the coming year, and by this we would see a dramatic drop in data breaches.

ARTIFICIAL INTELLIGENCE TOOLS:

• Google Now
• Intelligent Personal Assistants
• Crystal knows
• Textio
• Enlitic
• Digital Genius
• TAMR
• Intraspexion
• Recorded Future
• Conversica

COMPANIES TRIES TO IMPROVE AI IN CYBER SECURITY:

AI FOCUS ON MALWARE:

AI Mainly focus on malware rather than exploits it checks for every suspicious file within the folder or checks by CPU instructions and or by API imports and AI can detect the malware by certain limitations in Memory or by I/O Operations and AI focus starts from the exploitation if any malware is sent to the computer it starts from the exploitation and later it can be passed through malicious shellcode can be passed through browser or by Microsoft office (or) Adobe Reader and finally in Malware AI Detection AI detects the malware by checking its memory level and by I/O operations Once they are not up to its level they are considered to be the malicious one.

After Malware detection AI can also be bypassed using AI Evasion techniques and by this process it redirects its way by detecting against AV and bypasses the malware detection on AI and here by using this techniques the AI fails to detects the malware and they are been explained as follows.

But Still Now AI Fails to detect the Zero Day Attacks and they are many methods are been developed on AI to detect advanced threats and Zero Day but it fails but the development on detecting Advanced level threats are going on in Progress

SUB INDUSTRY ARTIFICIAL INTELLIGENCE:

Artificial Intelligence statistics across every industries is been described in the above figure

BOOKS ON ARTIFICIAL INTELLIGENCE:

Reference Link: http://bigdata-madesimple.com/20-free-books-to-get-started-with-artificial-intelligence/

CONCLUSION:

As cyberattacks become more sophisticated, cybersecurity teams are tasked with adapting their technology to find new anomaliesOrganizations face millions of threats each day making is impossible for a security researcher to analyze and categorize them. This task can be done by using Machine Learning in an efficient way.

However, a more efficient cybersecurity process can help reduce costs and help streamline the process. Artificial intelligence and machine learning can rapidly and efficiently detect threats, resolve them, and prevent them in the shortest amount of time possible with the greatest potential for resolution.

AUTHOR

RamKumar

Security Engineer

BriskInfosec Technology and Consulting PVT LTD

Follow me @ https://www.linkedin.com/in/ram-kumar-3439b511a/