Today how AI is impacting cyber security

Posted By :Vikas Verma |30th October 2020

Artificial Intelligence (AI) has many real applications in many industries, and cyber security can benefit greatly from the technology.

One of the most compelling uses of AI is cyber security because systems can read and adapt to emerging threats faster than "programmed" devices to identify these threats. A common security solution will only detect and prevent the threats we already know about, leaving the window open for zero-day exploitation and other nasty malware. The AI-enhanced system will detect new threats and adjust its defenses to reduce or eliminate risk until it is fully recovered.

 

 

AI applications in Cybersecurity
As an effective web-based security technology to protect your identity from criminals involved in identity theft and fraud, Artificial Intelligence applications in a comprehensive security network can solve even the most challenging issues in the industry. AI can handle even the most complex of problems, and the ever-present cyber attacks inevitably fall below that level. Cybersecurity groups can use AI, machine learning, and in-depth learning to make the detection of spontaneous and compliant with threatening characters. With AI, the response is faster and more efficient than traditional software-based methods that work brighter.

 

 

Cyber   security as an offline option due to New Threats and Challenges
Imagine a large area of   attack that needs protection - large organizations have thousands of devices, large pieces of mobile data, and hundreds of attack vectors - like a buffet for all you can eat. The problems are exacerbated by the lack of a number of security professionals with experience equivalent to dealing with current cyber security issues. Experts estimate that there will be a shortage of 3.5 million cyber security experts worldwide by 2021, while the number of hackers continues to grow.

 

 

Effective Cybersecurity Use of Artificial Intelligence

  • AI techniques can be used to remove unwanted data or noise to enable high levels of discovery of unusual and dangerous objects.
  • AI can change the methods used to produce the correct response to a particular threat detected by the system.
  • AI can analyze a large amount of data that can expand existing systems and develop or improve new ways to overcome cyber attacks.
  • AI can help protect organizations from existing threats and identify malware for zero days.
  • AI-based cyber security systems can help improve effective security standards for better protection and advanced recovery strategies.

The use of AI in cyber security can also help create a real-time, dynamic, and global authentication framework that can change locations or change aircraft network access rights.

 

 

Cybersecurity Conundrum
IT security experts use Artificial Intelligence and Machine Learning (ML) to enforce "clever cyber security" practices to effectively reduce the attack area of   organizations they try to protect, in contrast to responding to and chasing malicious activities. However, large cybercriminal gangs, hackers, and government-sponsored hacking groups can also use AI to enhance their tactics to avoid detection and defeat defenses. According to a study by Webroot, 90% of security experts in Japan and the United States expect hackers to use AI in their attacks.

As the availability of AI in the cyber security space grows, organizations must work harder to prevent the decline of new technologies and  are:

  • Hackers can defeat security algorithms by identifying training data and warning flags AI programs learn from and damage or modify.
  • AI programs require major events and training details, or they risk bringing false benefits and negative consequences.
  • Cybercriminals can use AI to break into security by developing flexible malware to avoid detection.
  • Organizations that fail to find the information used will strive to find relevant information that supports AI learning.

On the bright side is that AI in cyber security will be able to quickly detect malicious code in the system, gain network access, and provide a balanced response to these threats. AI can create a powerful person in a network connection that works collaboratively to identify and adapt to emerging problems.

 

 

Conclusion
Cybercriminals have used the power of emerging technologies over the years to launch their attacks on vulnerable systems to be held. After all, technology offers an equal opportunity - the world of cyber security and criminals are using the latest technology to test their intelligence against each other. The use of AI in cyber security levels in the playground is slow, because cyber security teams will have the ability to process additional anticipation and detect cyber threats as they come.

This situation is like a two-edged sword - the creators of cybercriminers will get their hands on the new tech in the end. Cybersecurity teams must work and be vigilant in identifying the dangers of AI falling into the wrong hands by developing better machine learning and in-depth learning methods to combat hijackers armed with the same tools.


About Author

Vikas Verma

He is frontend developer. He is a learner by heart and has a passion and profile to adapt various technologies.

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