2 responses Aug 21
Actual work where 2 students given their post on this:
Do you believe Artificial Intelligence or Machine Learning is the future of cybersecurity? Explain why or why not.
We need to give 2 responses all should have proper APA, citations, and minimum one reference each for both.
Please find the two attachments of two students’ posts.
Note: Use first line hanging on the responses.
Artificial Intelligence
Technology plays a vital role in society today. With advancements in technology, significant technologies have been discovered and continue to be integrated into society. Significant examples of such technologies include artificial intelligence and machine learning. Artificial intelligence is defined as the act where simulations are conducted on machines in such a manner that allows the machines to undertake similar actions as humans. Artificial intelligence will enable machines to undertake actions that are similar to those conducted by humans. Machine learning is an advanced form of artificial intelligence, whereby systems can learn for themselves without having to be instilled new programs (Hutter et al., 2019). The machines will encounter problems and come up with measures to ensure that the next time such a problem occurs, it gets solved. The only difference exhibited by the two methods is that artificial intelligence may require updating information while the machine intelligence will not need advancements.
Machine learning is the future of cybersecurity. With the advancements in technology, it has been a challenge to ensure that information is kept safe. Significant break-ins of information have happened leading to loss of data, finances, and harmful litigations that led to significant effects such as the closure of institutions. Adapting the machine learning technology will be efficient to any given business enterprise. Machines being able to come up with new effective measures to curb threats is significant to any given institution.
Software developers will no longer need to have new updates for information to e safe at all times. Machine learning will ensure that computers understand what a threat is, ensuring that information is kept safe. Machine learning will act effectively concerning basic artificial intelligence futures (Geluvaraj et al., 2019). With machine learning, the software will be better positioned to realize breaches that may take significant amounts of time before being recognized. The speed in tackling new threats is a significant advantage that should thus be reasons as to why machine learning is the future as it will enhance cybersecurity.
The advancements in technology require the establishment of new measures to ensure that new threats are dealt with at all times. In conclusion, it is vital to integrate machine learning in any given organization. The advantages associated with machine learning highlights promise that will be efficient in dealing with cybersecurity threats.
References
Geluvaraj, B., Satwik, P. M., & Kumar, T. A. (2019). The future of cybersecurity: Major role of artificial intelligence, machine learning, and deep learning in cyberspace. InInternational Conference on Computer Networks and Communication Technologies(pp. 739-747). Springer, Singapore.
Hutter, F., Kotthoff, L., & Vanschoren, J. (2019).Automated machine learning: methods, systems, challenges(p. 219). Springer Nature. Artificial Intelligence as the Future of Cybersecurity
Artificial Intelligence (AI) technology has proven to be highly significant when defending against cyber-attacks. AI-based tools for cybersecurity have emerged to aid enterprises in reducing the risk of breaches and improving the overall system security in organizations. AI can be trained to learn patterns to identify threats and mitigate against them consistently. Machine learning is a component of AI, which applies existing data to improve its functions. Most businesses and corporations, as well as the government, have already deployed AI systems. One of the primary reasons these entities have opted to adopt this technology is the fact that with AI-based systems, businesses can save time and money by quickly monitoring structured data and providing extensive learning of unstructured data and statistics. Besides, it has been widely established that various cybersecurity issues can only be successfully resolved with AI strategies (Patil, 2016). In government corporations, AI may not only save money but also protect national secrets of a nation.
Today, AI and machine learning technologies have become imperative in information security as they have the capability of quickly analyzing various types of cyber threats, including malware and other risky behaviors that might result in phishing attacks. According to Seker (2020), cybersecurity experts argue that machine learning AI technologies are the potential solution to cybersecurity issues, and this will only be successful if the IT environment is secured through AI-based solutions.
AI technologies have gradually evolved to advanced capabilities that can be seen today, such as autonomous intelligence, which is being developed for the future. This AI technology features machines that can act on their own. As cyber-attacks continue evolving and becoming more complex, there is a need for a response of equal measure through autonomous defense systems to handle more advanced threats anticipated in the future. This, therefore, implies that AI is the future of cybersecurity.
References
Patil, P. (2016). Artificial intelligence in cybersecurity.International Journal of Research in Computer Applications and Robotics,4(5), 1-5.
Seker, E. (2020). Is the Future of Cyber Security in the Hands of Artificial Intelligence (AI)?1. Retrieved 19 August 2020, fromhttps://towardsdatascience.com/is-the-future-of-cyber-security-in-the-hands-of-artificial-intelligence-ai-1-2b4bd8384329
