CYBERSECURITY
AI is increasingly being used in cybersecurity to detect threats, prevent attacks and protect computer systems from intrusion.
Here are some examples of AI use cases in this sector :

Threat detection
AI algorithms can be used to analyze security data, such as system event logs, network activity, and user behavior, to detect potential threats. AI can also be used to establish patterns of normal user and device behavior, allowing for early detection of abnormal behavior that could indicate an intrusion attempt.
Prevention of attacks
AI can be used to prevent attacks in real time. AI algorithms can be used to monitor network traffic and detect attempts to exploit known vulnerabilities. AI can also be used to filter malicious network traffic before it reaches enterprise systems.


Malicious software
AI algorithms can be used to detect malware such as viruses, Trojans and ransomware. AI can scan files, emails and web pages for signatures and malicious behavior.
Vulnerability analysis
AI can be used to analyze vulnerabilities in computer systems and recommend patches to fix them. AI algorithms can also be used to assess risks and recommend appropriate security strategies.


Security monitoring
AI can be used to monitor the security of computer systems in real time. AI algorithms can be used to analyze security data and detect anomalies that could indicate a security breach.
Access management
AI can be used to manage identities and access to computer systems. AI algorithms can be used to detect abnormal user and device behavior, and to determine whether or not access should be granted.


Cryptographic
AI can be used to improve the security of cryptographic systems. AI algorithms can be used to develop new, more robust cryptographic algorithms and to detect attacks against existing cryptographic systems.