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Government CIO Outlook | Monday, March 22, 2021
Artificial intelligence can help improve cybersecurity as it can identify security threats and automate network security.
FREMONT, CA: Artificial intelligence (AI) and machine learning will influence the future in a variety of ways. Many of the companies are unaware of how these technologies will affect cybersecurity.
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Businesses have arrived at a critical juncture in the digital era, one in which personal data is under unprecedented threat. Hundreds of massive data breaches and identity fraud incidents have occurred in just the last decade. Cybercriminals can now accomplish their goals from anywhere in the world and at any time.
The need for more advanced cybersecurity initiatives has never been greater than it is now. Fortunately, during the past several years, cybersecurity implementations have seen several technical advancements. The introduction of AI and the machine learning to the industry is one of the most game-changing inventions. Here are some of the ways how these tools will help with existing cybersecurity initiatives.
Improving Cyber Threat Detection with Machine Learning
In the field of cybersecurity, foresight is invaluable. Cyberattacks may be detected in advance, giving companies the time they need to counteract incoming threats effectively. It turns out that using machine learning to analyze data will significantly assist in recognizing them.
Machine learning enables computers to learn from and comprehend data. Therefore, systems can fine-tune and develop algorithms to achieve optimum performance. In terms of cybersecurity, it implies that machine learning may help computers to identify threats and anomalies more precisely than a human.
AI-Fueled Phishing Detection and Prevention
Phishing is the trick of sending false messages. Hackers often use this tactic to represent respectable organizations or associations, to trick victims into disclosing personal information such as passwords or installing malware.
In order to combat phishing attacks, artificial intelligence and machine learning are necessary. These technologies can recognize and monitor over 10,000 active phishing sources and react much faster than humans. They also make it easy to distinguish between fake and legitimate websites.
Automated Network Security
The implementation of security policies and the organization's network topography are two critical components of network security. But both need a significant amount of time and human effort to fulfill and maintain.
AI can partly automate both procedures. AI will generate and suggest policies and procedures tailored for the specific situation by analyzing network traffic dynamics. It isn't easy to estimate the amount of time, energy, and money it will take to save businesses.
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