language models

Artificial Intelligence (AI) is transforming the cybersecurity landscape by enabling sophisticated cyberattacks, such as ransomware and deepfakes. Ransomware has evolved from manual coding to AI-driven automation, making attacks more efficient and harder to stop. AI automates the targeting of victims by analyzing large datasets to identify vulnerabilities. Machine learning allows malware to change its form to evade detection, and ransomware can operate autonomously within networks. Phishing attacks have become more convincing through AI-generated messages that mimic real communications. Deepfakes can create realistic impersonations, leading to financial fraud and extortion, as demonstrated by a 2024 incident resulting in a million loss. Deepfakes also pose risks for manipulation and disinformation, affecting public perception and market dynamics. On the defensive side, AI is utilized in cybersecurity to detect and prevent attacks through anomaly detection, zero-trust security models, and advanced authentication methods. Human training and awareness are crucial for recognizing AI-generated threats. Effective defense requires regulations, shared accountability, and preparedness within organizations, including continuous monitoring and employee training. Collaboration between public agencies and private security firms is essential for a robust response to cyber threats.