AI’s Role in Cyber Security
Artificial Intelligence is used in a variety of ways, including cyber security. AI, machine learning, and threat intelligence can spot trends in data and help security systems learn from their mistakes. Companies can also use AI and machine learning to decrease attack reaction times and stick to guidelines. In general, AI has the potential to be both a blessing and a burden in terms of cybersecurity.
How Cyber Security Can Benefit By AI
The government and commercial executives in charge of protecting people, systems, companies, and communities from today's unrelenting cyber attackers will benefit greatly from AI's cyber implementations. AI and machine learning methods can evaluate standard performance of user profiles, endpoints, and servers. Vulnerability databases are essential for managing and containing security flaws. This can help enterprises defend themselves even before vulnerabilities are publicly disclosed and repaired. Many critical data center functions, such as backup power, cooling filters, power consumption, internal temperatures, and network capacity, can be optimized and monitored with AI. Furthermore, AI can help you save money on hardware maintenance by informing you when something needs to be fixed.
Drawbacks of Using AI for Cyber Security
While AI has numerous advantages, it also has a number of disadvantages. To construct and maintain AI systems, businesses must invest a significant amount of time and money in resources such as processing power, memory, and data. Another significant disadvantage is that hackers are people who utilize AI to break into a company's systems. All in all, Artificial Intelligence and machine learning can improve security, while at the same time making it easier for cyber attackers to penetrate systems with no human intervention.
Written by Gurumurthy Yeleswarapu, CEO/Founder of Siliconvalley4u