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What is AI Security & Hacking? Understanding the Role of Artificial Intelligence in Cyber Security
- The integration of Artificial Intelligence (AI) in cybersecurity has transformed threat detection and response processes in organizations, automating tasks and improving accuracy.
- AI technologies such as Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and Behavioral Analytics are pivotal in enhancing cybersecurity capabilities.
- AI aids in automating responses to threats, detecting anomalies, and reducing human intervention in cybersecurity processes.
- Machine Learning allows systems to learn and identify future threats, while Deep Learning excels at detecting complex threats.
- Natural Language Processing helps AI interpret human language to detect phishing emails and social engineering attacks more effectively.
- Behavioral Analytics enables AI to spot anomalous user behaviors that may indicate security threats.
- The structured AI security workflow involves steps such as data collection, preprocessing, anomaly detection, threat assessment, automated response, and continuous learning.
- AI can automatically respond to threats, including isolating infected systems and suspending compromised accounts for mitigation.
- AI evolves through continuous learning, adapting to new threats and improving threat detection capabilities over time.
- While AI bolsters cybersecurity by enhancing threat detection and incident response, it can also be exploited by hackers for creating advanced malware and deepfake technology for social engineering attacks.
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