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Role of artificial
intelligence in data
protection
Every industry is now being revolutionized by artificial intelligence, but data protection could be the greatest. With
an estimated market size of USD 113390 million, there is a lot to safeguard, and people won't be able to do it all.
Online behaviour, corporate behaviour, and governmental decisions all prioritise privacy issues. This is mostly a
reaction to the scandals, hacks, and disclosures of private information that have damaged public trust in technology
and information systems.
The continued evolution of Artificial Intelligence (AI) is a key factor in future technological developments and online
security. However, in order to combine the advantages of technology with the need to protect privacy,
confidentiality principles must be taken into account early on in the AI development process. With an Artificial
Intelligence course, one can understand that AI is capable of far more than just data collection
3 Ways AI serves in Data Protection:
1. AI Can Improve Compliance: AI can assist you in identifying any gaps in your adherence to the most
significant data protection laws, including the GDPR and CPRA.
2. AI as an ally against cyberattacks: AI is advancing at the same time that cyberattacks do. It can assist
you in identifying the patterns that signify an attack is in progress and setting up automated responses
to reduce harm, with a Certification in Artificial Intlligence.
3. AI can protect against phishing attempts: AI is a useful tool for detecting phishing attempts together
with ML and NLP—especially because they are getting harder to spot.
Why AI is so valuable in the fight against cybercrime:
Can we truly trust yet another robot to protect a digital framework? Is it safe for people to
handle it? Let's examine the three primary advantages AI provides for data protection.
Understand why this makes AI such a significant tool in the battle against cybercrime, with a
Master’s in Artificial Intelligence.
1. AI can handle more and more complex data than humans
The volume of data that is processed and stored today makes it nearly difficult to manually check
servers. Because it is continuous, good data protection is quite time-consuming. No matter how
much data there is to manage, AI can operate automatically and around-the-clock. Additionally,
AI can be implemented to manage more complicated data structures, which are challenging for
humans to assess and safeguard. all while minimising expenses.
2. AI can quickly classify data and keep it organized
You must set it up—effectively—before you can even begin to secure data. AI is useful because of
the massive amounts of data that businesses handle. Data may be swiftly categorised and
managed by AI to maintain organisation.
3. No humans needed to keep sensitive data secure
Nobody really needs to have direct access to the sensitive data you're trying to predict because
AI can function independently of people. That not only reduces the likelihood of human error,
but it also fosters an additional level of trust.
THANK YOU
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Role of Artificial Intelligence in Data Protection

  • 1. Role of artificial intelligence in data protection
  • 2. Every industry is now being revolutionized by artificial intelligence, but data protection could be the greatest. With an estimated market size of USD 113390 million, there is a lot to safeguard, and people won't be able to do it all. Online behaviour, corporate behaviour, and governmental decisions all prioritise privacy issues. This is mostly a reaction to the scandals, hacks, and disclosures of private information that have damaged public trust in technology and information systems. The continued evolution of Artificial Intelligence (AI) is a key factor in future technological developments and online security. However, in order to combine the advantages of technology with the need to protect privacy, confidentiality principles must be taken into account early on in the AI development process. With an Artificial Intelligence course, one can understand that AI is capable of far more than just data collection
  • 3. 3 Ways AI serves in Data Protection: 1. AI Can Improve Compliance: AI can assist you in identifying any gaps in your adherence to the most significant data protection laws, including the GDPR and CPRA. 2. AI as an ally against cyberattacks: AI is advancing at the same time that cyberattacks do. It can assist you in identifying the patterns that signify an attack is in progress and setting up automated responses to reduce harm, with a Certification in Artificial Intlligence. 3. AI can protect against phishing attempts: AI is a useful tool for detecting phishing attempts together with ML and NLP—especially because they are getting harder to spot.
  • 4. Why AI is so valuable in the fight against cybercrime: Can we truly trust yet another robot to protect a digital framework? Is it safe for people to handle it? Let's examine the three primary advantages AI provides for data protection. Understand why this makes AI such a significant tool in the battle against cybercrime, with a Master’s in Artificial Intelligence.
  • 5. 1. AI can handle more and more complex data than humans The volume of data that is processed and stored today makes it nearly difficult to manually check servers. Because it is continuous, good data protection is quite time-consuming. No matter how much data there is to manage, AI can operate automatically and around-the-clock. Additionally, AI can be implemented to manage more complicated data structures, which are challenging for humans to assess and safeguard. all while minimising expenses.
  • 6. 2. AI can quickly classify data and keep it organized You must set it up—effectively—before you can even begin to secure data. AI is useful because of the massive amounts of data that businesses handle. Data may be swiftly categorised and managed by AI to maintain organisation. 3. No humans needed to keep sensitive data secure Nobody really needs to have direct access to the sensitive data you're trying to predict because AI can function independently of people. That not only reduces the likelihood of human error, but it also fosters an additional level of trust.
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