The Intersection Of Cybersecurity And Artificial Intelligence (AI)

AI as a part of cybersecurity, enhances detecting threats and response capabilities and opens opportunities for more proactive and intelligent security strategies. Their combination creates a significant step forward in fighting cybercrime.

Cybersecurity driven by AI can analyze large amounts of data and information at increasingly higher speeds. Their combination can identify anomalies that may indicate a cyber attack is approaching often before human users would notice anything going wrong. Contact ITI Technical College today to learn more.

Cybersecurity and Artificial Intelligence: Cybersecurity

Simply put, cybersecurity is the work of protecting computers, data, electronic systems, mobile devices, networks, programs, and servers from cyber attacks. It is also known as electronic information security and information technology security.

Another explanation of cybersecurity is protecting internet-connected systems and their data from unauthorized use. Cybersecurity covers several disciplines divided into:

  • Application Security stops OWASP top 10 attacks, prevents bot attacks, and interactions with applications and APIs
  • Cloud Security protects an entire organization’s cloud usage against misuse
  • Endpoint Security secures end-user devices and improves network and data security control
  • IoT Security protects devices with the discovery and classification of connected devices to control network activities and uses IPS to protect IoT devices
  • Mobile Security prevents attacks on mobile devices from malicious apps, zero-day, phishing, IM and secure devices, and operating systems
  • Network Security solutions are designed to identify and block hackers and attacks
  • Zero Trust Security protects resources with combined micro-segmentation, monitoring, and enforcement of role-based access controls

Generation V or Mega attacks use large-scale attacks that can only be stopped with advanced threat preventions. Supply chain attacks are also among the latest problems that cybercriminals create and need the latest security measures.

Cybersecurity and Artificial Intelligence: Artificial Intelligence (AI)

Information TechnologyMany people think of AI as robots and robotic work in factories but it is much more. Artificial intelligence (AI), machine learning, and deep learning are all interconnected.

  • Artificial Intelligence means creating devices and machines that can think like humans. They can do “smart” things such as process large amounts of data, recognize patterns, make decisions, and judge people. AI is used for image recognition and classification, making predictions, and making your morning coffee.
  • Machine Learning is a subset of AI and is used to program computers to learn and act as humans do. A computer is given input data and an algorithm to produce an output. A computer can learn the algorithm itself when it is given input data and corresponding output data and can predict the right output data.
  • Deep Learning processes, interprets and uses much larger and more complex data sets. Since it is a subset of machine learning, it can perform far more complex tasks. Deep learning mimics the workings of our brains by processing data through multiple layers. With extensive training, neural networks are created that can outperform us at intelligent tasks. While machine learning can ask and answer one question, deep learning can ask and answer one question, and based on the answer, can ask and answer another and answer it, and continue with more.

  “AI as a part of cybersecurity, enhances detecting threats, response capabilities, opens opportunities for more proactive and intelligent security strategies.”

Cybersecurity and AI are very much interconnected because AI significantly enhances cybersecurity measures. Their integration is stronger because technology has advanced and cyber criminals are more sophisticated today. Their combination produces these results:

  • AI is used to automate cybersecurity operations and address zero-day threats
  • Help protect hackers from exploiting vulnerabilities unknown to software makers
  • Machine learning models identify and respond to suspicious activities
  • More organizations are using AI for cybersecurity – up to 90% of them
  • Create more business and industry-specific adaptive security solutions
  • Builds confidence in an organization’s information technology team
  • Distinguishes between legitimate activities and genuine threats reduces the number of false positives that teams must investigate, thus saving time

There are some challenges involved in integrating AI into cybersecurity. Their combination is beneficial but computer system users must learn to meet these demands in their frameworks:Information Technology Degree

  • Employees must produce large volumes of high-quality data to create effective AI models. This is labor intensive and all data must be directly related to projects at hand to produce the desired results.
  • AI models for cybersecurity must be developed, trained, and maintained. This process can be complex and resource-intensive and requires highly-trained workers.
  • AI models must be regularly updated to remain effective because cyber threats continue to evolve into complex processes that can be difficult to overcome.

Cybersecurity and AI applications save organizations billions of dollars each year. If you want to work in cybersecurity or information technology, contact ITI Technical College about our Associate of Occupational Studies (AOS) Degree in Information Technology.

For more information about graduation rates, the median debt of students who completed the program, and other important information, please visit our website:https://iticollege.edu/disclosures/