The recent use of AI by threat actors exemplifies how tools like ChatGPT can aid in coding assistance, exposing vulnerabilities, showcasing AI's dual role in cyber threats.
Universal Adversarial Perturbations (UAPs) offer a method to bypass AI detection systems without changing malware's core functionality, yet attackers hesitate to adopt this complex technique.
Despite the potential of AI-driven methods such as UAPs in malware evasion, the complexity and resource demand involved may deter cybercriminals from utilizing these tactics.
The evolution of AI and machine learning presents a dual-edged sword in cybersecurity, potentially strengthening detection while simultaneously unveiling new vulnerabilities for exploitation.
#artificial-intelligence #cybersecurity #malware-detection #adversarial-attacks #universal-adversarial-perturbations
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