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2. Applications of artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Applications_of_artificial...

   Cyber security companies are adopting neural networks, machine learning, and natural language processing to improve their systems. [51] Applications of AI in cyber security include: Network protection: Machine learning improves intrusion detection systems by broadening the search beyond previously identified threats. [52]

3. Cybersecurity engineering - Wikipedia

   en.wikipedia.org/wiki/Cybersecurity_engineering

   Concepts like layered security architecture and the use of artificial intelligence for threat detection became critical. The integration of frameworks such as the NIST Cybersecurity Framework emphasized the need for a comprehensive approach that includes technical defense, prevention, response, and incident recovery.

4. Computer security - Wikipedia

   en.wikipedia.org/wiki/Computer_security

   An example of a physical security measure: a metal lock on the back of a personal computer to prevent hardware tampering. Computer security (also cybersecurity, digital security, or information technology (IT) security) is the protection of computer software, systems and networks from threats that can lead to unauthorized information disclosure, theft or damage to hardware, software, or data ...

5. Browse Speed & Security Utilities - AOL

   www.aol.com/products/utilities

   Get the tools you need to help boost internet speed, send email safely and security from any device, find lost computer files and folders and monitor your credit.

6. Improve & Protect your PC, Devices and Life with AOL Products ...

   www.aol.com/products

   Restore your PC’s maximum speed, power and stability. Learn more ; 24x7 support from AOL experts plus security products. Learn more ; Help prevent virus and malware attacks before they strike.

7. IBM Watson - Wikipedia

   en.wikipedia.org/wiki/IBM_Watson

   The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.