malware prevention

The complete elimination of malware may be impossible due to fundamental mathematical truths, specifically the undecidability of certain computational problems, which prevents any system from perfectly distinguishing between benign and malicious code. This concept is linked to Alan Turing’s halting problem, indicating that no algorithm can definitively determine if a program will run indefinitely or stop. AI-driven malware can exploit these vulnerabilities by creating variants that evade detection. Polymorphic malware changes with each infection, complicating detection efforts. A study highlights that while AI improves threat intelligence, it also enables adversaries to develop advanced malware. The rise of infostealer malware on macOS has increased by 28%, showcasing the challenges in identifying malicious intent. Organizations are shifting towards layered defense strategies, focusing on monitoring runtime behavior rather than solely on pre-execution checks. Education on phishing and safe online practices remains crucial in reducing infection risks. Future defenses may involve quantum-resistant algorithms, but they won't solve the issue of undecidability. Proactive intelligence sharing and ethical AI development are essential for managing evolving threats.