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How Do AI and ML Prevent Cyber Attacks?Following are different ways that AI and ML safeguard industries from cybersecurity attacks: o Password Protection and Authentication: Password credentials play a critical role in preventing illegitimate access to the organization's or user's data. Phishing Detection and Prevention: Phishing is a common method attackers employ to send their payloads via emails.Programmers use AI to improve biometric validations and face recognition to thwart such attacks.AI plays a crucial role in detecting imminent cyber threats by incorporating machine learning as a subset.In this case, AI and ML could play a pivotal role in identifying and preventing such phishing attacks.ML allows systems to run its algorithms upon the data being received, then performs deep learning on the an comprehends the advancements require to ensure the safety of the information systems.

How Do AI and ML Prevent Cyber Attacks?
Artificial Intelligence (Al), and with it, Machine Learning (ML), is an emerging technology in the field of cybersecurity. It is widely adopted by largescale industries such as automation, IT services, manufacturing, production, and finance. AI plays a crucial role in detecting imminent cyber threats by incorporating machine learning as a subset. Following are different ways that AI and ML safeguard industries from cybersecurity attacks:
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*Password Protection and Authentication: Password credentials play a critical role in preventing illegitimate access to the organization's or user's data. If credentials are compromised, the reputation of the organization or person could be damaged. Sometimes, traditional face detection and other biometric security measures can also
be vulnerable to these credential breaches. Programmers use AI to improve biometric validations and face recognition to thwart such attacks. Al provides the latest models for recognizing an individual's face by tracking key correlations and patterns.

• Phishing Detection and Prevention: Phishing is a common method attackers employ to send their payloads via emails. The majority of users cannot figure out which received emails have a malicious attachment or payload. In this case, AI and ML could play a pivotal role in identifying and preventing such phishing attacks. They can scan and identify phishing emails much faster than a human being can. They can also quickly differentiate malicious websites from legitimate websites.
  *Threat Detection: Machine learning assists companies in detecting cyber-attacks before systems are compromised. Being a part of AI, machine learning constantly keeps admins notified of imminent cyber threats by carrying out logical data analysis. ML allows systems to run its algorithms upon the data being received, then performs deep learning on the an comprehends the advancements require to ensure the safety of the information systems.