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cyber security technologies|Artificial Intelligence & Machine Learning

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srikanthbollu
cyber security technologies|Artificial Intelligence & Machine Learning

cyber security technologies

Today, every organization—small, medium-sized, large, corporate, or government—depends on computerised systems to manage their daily operations, with cybersecurity serving as the primary goal to safeguard data. Information technology security, or cybersecurity, is the application of technologies, procedures, and processes to safeguard systems, networks, data, and programmes against cyberattacks. Cybersecurity is crucial because it helps us safeguard our systems from viruses and secure data from dangers like abuse or theft. Its main goal is to lessen cyberattacks and defend against attacks online and illegal access.

Cybertechnology is being used everywhere as technology advances, which finally results in cyberattacks. As data breaches, ransomware, and hacks grow more frequent, there will be a simultaneous shift in cyber security trends as a result of technology's ongoing development. Here, it makes sense to continuously spot and modify cutting-edge cybersecurity technology in order to bolster online safety. Let's learn about the top cyber security technologies in this post. Here are a few examples of cyber security technologies:


Cybersecurity technology are as follows:

  1. Artificial Intelligence & Machine Learning
  2. Internet of Things
  3. Blockchain
  4. Cloud computing
  5. Web security 
  6. Application Security
  7. Intrusion Detection System (IDS) and Intrusion Prevention System (IPS)
  8. Data Loss Prevention (DLP) & Data encryption
  9. Firewalls
  10. Social engineering or insider threat 

Artificial Intelligence & Machine Learning: 

Artificial intelligence (AI): AI refers to the simulation of human intelligence into robots that have been designed to think and act like people. This phrase can also refer to any computer that demonstrates traits of the human intellect, such as learning and problem-solving. The ability of AI to simplify and execute actions that are most likely to accomplish a goal is its ideal characteristic. With the use of artificial intelligence, machines can mimic human abilities by learning from their mistakes, adapting to new inputs, and performing other jobs.


Machine Learning is a subfield of artificial intelligence that focuses on developing smart computer systems that employ statistical methods to analyse data, spot patterns, and reach conclusions.


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