How Artificial Intelligence Is Changing Cyber Security Landscape and Preventing Cyber Attacks

9/19/2019

How Artificial Intelligence Is Changing Cyber Security Landscape and Preventing Cyber Attacks

How Arti cial Intelligence Is Changing Cyber Security Landscape and Preventing Cyber Attacks usm systems Sep 19 ¡ 7 min read

The world is going digital at an unprecedented pace, and change is going even faster.

Digitalization means everything is moving at lightning speed — business, entertainment, trends, new products, etc. Customers get what he or she wants because the service provider has the means to deliver it.

Despite the many advantages and advantages of this digital age, it also brings with it many disadvantages. This is one of the most significant and destructive threats posed, and our private information is in danger as never before. Over the last decade or so, there have been hundreds of cases of identity theft, money loss, and data breach.

CyberTax is very widespread in nature and affects every person, business and government organization alike. We are heading towards an era where cybercriminals can reach their goals in any part of the world; The need for cybersecurity is no more critical than it is now.

Typical cyber-attack means that opponents or cybercriminals are trying to unauthorized access, change or disrupt the target’s computer system or network. The systematic,

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How Artificial Intelligence Is Changing Cyber Security Landscape and Preventing Cyber Attacks

intended and calculated exploitation of technology that affects computer networks and systems disrupt the organizations and operations upon which they rely.

Does Artificial Intelligence & Machine Learning Become Cyber Security?

With the virtually significant capabilities of Artificial Intelligence, attackers are likely to use it to amplify and extend their attacks, a much bigger threat. The big concern is that hackers can use AI to automate massive amounts of cyberattacks. Now, our adversaries rely on human resources to design and coordinate their attacks. The cybercrime and cybersecurity landscape is going to change — if not better — and if they learn to use AI and machine learning to do the dirty work.

Another important point is that just as we can implement AI and machine learning to address human resource shortages and save costs in cybersecurity, so can our adversaries. The financial and resources needed to launch and coordinate such attacks are greatly diminished — cyber attackers pose a greater threat to cybersecurity at a lower investment.

Further advances in AI will give birth to new types of cyberbullying. The vulnerability of the AI system can be hacked much faster and better than humans. AI can be used to hide attacks so that their network or device is never infected.

So, the three main implications of artificial intelligence for the threat landscape are the growth of today’s threats and attacks, the development of new threats, and the variability of the nature of existing threats.

How is Artificial Intelligence a gift for cybersecurity?

While the future may seem uncertain, there are significant advances in cybersecurity, including the development of technology. Tools and techniques developed and supported by a subset of Artificial Intelligence (AI) and Machine Learning (ML) are such a major game-changer in the field of cybersecurity.

Artificial intelligence is no longer just a buzzword and is widely used in all kinds of industries. Customer service, education, automation, etc. AI has evolved very rapidly. It also plays an important role in the fight against cybercrime.

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How Artificial Intelligence Is Changing Cyber Security Landscape and Preventing Cyber Attacks

Artificial Intelligence (AI) and Machine Learning (ML) are making a difference by giving cybersecurity a much-needed boost.

Machine learning in cyberbullying detection Organizations must be able to detect a cyber attack in advance to prevent what their opponents are trying to achieve. Machine learning, which is part of Artificial Intelligence, has proven to be very useful in analyzing data and identifying cyber threats based on the vulnerability in your information systems before they can be exploited.

Machine learning allows computers to use and adapt algorithms based on received data, learn from it and understand the necessary consequences. In the context of cybersecurity, this means that machine learning enables the computer to predict threats and observe any anomalies with greater accuracy than any human.

Traditional technology relies heavily on past data and does not improve the way AI can.

Traditional technology does not keep up with the new policies and tricks of hackers as AI can. In addition, the amount of cyber threats that people face on a daily basis is too high for humans and best dealt with by AI. AI, password protection and authentication Passwords are always very fragile when it comes to security. They are often the only barrier between cybercriminals and our accounts. Let’s face it, most of us are lazy with our passwords — often using the same account in multiple accounts, relying on the same password for ages, and keeping them as a draft message on our device. Biometric authentication has been tested as an alternative to passwords, but it is not very convenient and can be easily avoided by hackers. For example, the use of a facial recognition system can be annoying when a new hairstyle or hat is unable to detect you.

Attackers can also get through your images from Facebook or IG. Developers are using AI to improve biometric authentication and get rid of its shortcomings to make it a reliable system. Apple’s Face Recognition technology, used on its iPhone X devices, is one such example. This technology, called Face ID, works by processing the user’s facial features through built-in infra-red sensors and neural engines. AI correlation creates a sophisticated model of the user's face by identifying key correlations and patterns. With this technology, Apple claims there is only a million https://medium.com/@usmsystems23/how-artificial-intelligence-is-changing-cyber-security-landscape-and-preventing-cyber-attacks-68aad6198d47

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How Artificial Intelligence Is Changing Cyber Security Landscape and Preventing Cyber Attacks

dollars chance to cheat AI and open your device with another face. The AI software architecture also works in different lighting conditions and can compensate for changes such as getting new hairstyles, growing hair and wearing a hat.

AI-ML in Fishing Detection and Prevention Control One of the most commonly used cyber-attack methods is phishing, where hackers attempt to distribute their payload using a phishing attack. Phishing emails are so prevalent; One out of every 99 emails is a phishing attack. Fortunately, AI-ML plays an important role in preventing and preventing phishing attacks.

AI-ML can detect and track more than 10,000 active fishing resources and respond and resolve much more quickly than humans. As such, AI-ML works on scanning phishing threats from around the world and there is no limit to its awareness on fishing campaigns for any specific geographic area. AI has made it possible to quickly distinguish between a fake website and a legitimate website.

Use of AI-ML in vulnerability management Within this year alone, more than 2 thousand special vulnerabilities have been reported.

All of these are difficult to manage with human resources or traditional technology. AI, however, can solve this very easily.

Systems based on AI-ML do not wait for vulnerabilities through online threats. Instead, these AI-based systems foresee potential vulnerabilities in organizational information systems and do so effectively by combining multiple aspects of hacker discussions, the hacker’s reputation, and the models used. Analyze these factors and use the information to determine when and how a threat leads to harmful targets.

Network Security & Artificial Intelligence Two key components of network security are designing a security policy and identifying the organization’s network topology. Generally, these two activities are very timeconsuming. Now, we can use AI to speed up these processes by observing and learning network traffic patterns and suggesting security mechanisms. Not only does this save time, but it can also be applied to many areas of technology development and advancement. https://medium.com/@usmsystems23/how-artificial-intelligence-is-changing-cyber-security-landscape-and-preventing-cyber-attacks-68aad6198d47

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How Artificial Intelligence Is Changing Cyber Security Landscape and Preventing Cyber Attacks

6. Behavioral Analytics with AI Another nice improvement of security by AI comes from its behavioral analysis capability. This means that ML algorithms can learn and create patterns of your behavior by analyzing how you typically use your device and online platforms. Details include everything from your regular login times and IP addresses to your typing and scrolling patterns.

Anyway, if AI algorithms notice abnormal activity or any behavior that comes from outside your standard models, it can be flagged or blocked by a suspicious user.

Activities that turn off AI algorithms can be anything from large online purchases shipped to addresses other than yours, a sudden increase in document downloads from your archived folders, or a sudden change in your typing speed.

Related article: https://www.usmsystems.com/what-ai-can-do-for-cybersecurity/ So, is AI the answer to all my cybersecurity issues?

While the idea of allowing AI takeover is very exciting, we must remember that AI has many things and is therefore very versatile. While AI works wonders for cybersecurity, it is entering the job of hackers for malicious purposes. In the wrong hands, this can lead to an exponential loss and an even stronger threat to cybersecurity.

As technology evolves, the adversaries are also enhancing their attack methods, tools, and techniques to exploit individuals and organizations. There’s no doubt that Artificial Intelligence is incredibly useful, but it is somewhat of a double-edged sword. AI-ML can be used to detect and prevent the attacks before it takes place. As AI sees more advancement, we will be witnesses to how far we can take this technology to be both a boon and a bane to cybersecurity and the society in general.

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