As adversarial machine learning (AML) evolves, a conflict arises between defenders enhancing AI models and attackers exploiting vulnerabilities. By 2025, attacks have grown sophisticated, affecting healthcare and critical infrastructure. Techniques like generative adversarial networks and supply chain attacks pose real threats. Despite advances in defense strategies and regulations, significant gaps remain, necessitating collaborative efforts for effective AI security.
Malware Defense 101 – Identifying and Removing Modern Threats
Cybersecurity threats in 2025 have become more sophisticated, with malware leveraging AI, evasion tactics, and polymorphic code. Data-stealing malware dominates, increasing by 180% in 2024.
