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Machine learning and artificial
intelligence as powerful
cybersecurity tools
Overview
o In today’s time, artificial intelligence and machine learning services are adopted in
daily operations, and they are leaving themselves more vulnerable to
cyberattacks.
o A further worry is that hackers are launching more sophisticated, intelligent
attacks employing AI and ML technology.
o During the pandemic, the Zoom app became the prime target for cyberattacks.
Not only this there are various other companies like Twitter, Easy Jet, and
Nintendo that were the cybercrime victims. This shakes the trust of the user in
data security infrastructure.
Artificial intelligence and machine learning for
business- threat factor
o The truth is that cybercrime opportunities increase as more technology,
particularly AI and ML, is deployed in corporate operations. AI and ML models are
prone to manipulation, most frequently through the data used to train them, to
yield desired outcomes.
o The attack then continues since AI and ML models draw on prior knowledge
because they learn from experience.
o Even more opportunities for data breaches exist with AI and ML because it is
possible to reverse engineer them to get the data that was used to train the
model.
o AI and ML models do produce vulnerabilities that can be exploited in a cyber-
attack, similar to other technologies if they are not employed securely.
How does artificial intelligence work in
cybersecurity?
o Artificial intelligence, machine learning, and deep learning models can be
applied to cybersecurity to produce outstanding tools for detecting and
then thwarting cyberattacks.
o Data analysis, complicated pattern recognition, and outcome prediction
are all capabilities of AI models and ML algorithms.
o The spam filter in email inboxes is a simple illustration of how machine
learning is used in cybersecurity.
o Your email platform alerts you that the sender is suspect and the content
can be hazardous after training you to recognize fraudulent emails.
AI as cybersecurity in the real world.
1) facial identification:
o For a range of applications in cybersecurity, facial recognition technology
employs picture and video annotation to train models to recognize
specific faces.
o It is frequently used to unlock devices and authorize financial transactions
as a personal security measure.
2) Recognizing fraud
o Majorly banking and financial sectors use artificial intelligence and
machine learning models to secure themselves from all sorts of frauds.
AI as cybersecurity in the real world.
3) Antivirus programs
o It not only protects you from various threats but also identifies malicious
files.
4) Identify the network threat
o It identifies threats in the network across different industries. If there is
any doubtful act or attack, then AI and ML will detect it immediately.
Conclusion
o In today’s time, artificial intelligence and machine learning services are highly in
demand. I’m sure you are looking for something extra when it comes to cyber
security.
o There are various artificial intelligence and machine learning companies that can
claim to provide you with solutions to artificial intelligence problems related to
cybersecurity. You must do proper research before trusting any company when it
comes to your security.
o TechMobius service made it one of the top AI & ML companies. We are the first
preference of our clients and this made us one of the best machine learning
consulting companies.
o You can also be the lucky one to enjoy our expert service. Contact us now as we are
the top AI & machine learning companies in the market.
Thank you
USA
48 Wall Street, 11th floor,
NY 10005
+1 302-202-6600
UK
Kemp House,152-160 City Road,
London, United Kingdom, EC1V 2NX
+44 7833692249
INDIA
1st Floor, Block A1,
Gateway Office Parks,
New Perungalathur, Chennai
+91-44-49085800
support@mobiusservices.com

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Machine learning and artificial intelligence as powerful cybersecurity tools

  • 1. Machine learning and artificial intelligence as powerful cybersecurity tools
  • 2. Overview o In today’s time, artificial intelligence and machine learning services are adopted in daily operations, and they are leaving themselves more vulnerable to cyberattacks. o A further worry is that hackers are launching more sophisticated, intelligent attacks employing AI and ML technology. o During the pandemic, the Zoom app became the prime target for cyberattacks. Not only this there are various other companies like Twitter, Easy Jet, and Nintendo that were the cybercrime victims. This shakes the trust of the user in data security infrastructure.
  • 3. Artificial intelligence and machine learning for business- threat factor o The truth is that cybercrime opportunities increase as more technology, particularly AI and ML, is deployed in corporate operations. AI and ML models are prone to manipulation, most frequently through the data used to train them, to yield desired outcomes. o The attack then continues since AI and ML models draw on prior knowledge because they learn from experience. o Even more opportunities for data breaches exist with AI and ML because it is possible to reverse engineer them to get the data that was used to train the model. o AI and ML models do produce vulnerabilities that can be exploited in a cyber- attack, similar to other technologies if they are not employed securely.
  • 4. How does artificial intelligence work in cybersecurity? o Artificial intelligence, machine learning, and deep learning models can be applied to cybersecurity to produce outstanding tools for detecting and then thwarting cyberattacks. o Data analysis, complicated pattern recognition, and outcome prediction are all capabilities of AI models and ML algorithms. o The spam filter in email inboxes is a simple illustration of how machine learning is used in cybersecurity. o Your email platform alerts you that the sender is suspect and the content can be hazardous after training you to recognize fraudulent emails.
  • 5. AI as cybersecurity in the real world. 1) facial identification: o For a range of applications in cybersecurity, facial recognition technology employs picture and video annotation to train models to recognize specific faces. o It is frequently used to unlock devices and authorize financial transactions as a personal security measure. 2) Recognizing fraud o Majorly banking and financial sectors use artificial intelligence and machine learning models to secure themselves from all sorts of frauds.
  • 6. AI as cybersecurity in the real world. 3) Antivirus programs o It not only protects you from various threats but also identifies malicious files. 4) Identify the network threat o It identifies threats in the network across different industries. If there is any doubtful act or attack, then AI and ML will detect it immediately.
  • 7. Conclusion o In today’s time, artificial intelligence and machine learning services are highly in demand. I’m sure you are looking for something extra when it comes to cyber security. o There are various artificial intelligence and machine learning companies that can claim to provide you with solutions to artificial intelligence problems related to cybersecurity. You must do proper research before trusting any company when it comes to your security. o TechMobius service made it one of the top AI & ML companies. We are the first preference of our clients and this made us one of the best machine learning consulting companies. o You can also be the lucky one to enjoy our expert service. Contact us now as we are the top AI & machine learning companies in the market.
  • 8. Thank you USA 48 Wall Street, 11th floor, NY 10005 +1 302-202-6600 UK Kemp House,152-160 City Road, London, United Kingdom, EC1V 2NX +44 7833692249 INDIA 1st Floor, Block A1, Gateway Office Parks, New Perungalathur, Chennai +91-44-49085800 support@mobiusservices.com