11. Artificial Intelligence in Cybersecurity- A Review
The rapid growth of digital technologies has led to an equally rapid rise in cyber threats, ranging from malware and phishing to sophisticated state-sponsored attacks. Traditional security systems, which rely on predefined rules and manual intervention, often struggle to detect and respond to these evolving threats in real time. Artificial Intelligence (AI) has emerged as a transformative tool in cybersecurity. By leveraging techniques such as machine learning, deep learning, and natural language processing, AI can analyze vast amounts of data, identify hidden patterns, and detect anomalies that may indicate potential cyberattacks. Unlike conventional systems, AI-driven security solutions can learn from new threats, adapt to changing attack vectors, and even predict malicious activity before it occurs. AI in cybersecurity not only enhances threat detection and prevention but also supports faster incident response, reduces false positives, and strengthens overall resilience against cybercrime. As cyberattacks continue to grow in complexity and scale, the integration of AI technologies into security frameworks is becoming increasingly essential for organizations, governments, and individuals alike.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-14
- DOI
- https://doi.org/10.5281/zenodo.17239409
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00