보안 인텔리전스: AI가 사회 공학적 해킹과 피싱을 막을 수 있을까?

AI-native operating systems are being explored as a potential technical defense against social engineering, aiming to replicate the impact endpoint protection had on computer viruses. By integrating LLMs into operating systems, devices could potentially monitor cross-platform activities to flag phishing attempts more effectively than traditional spam filters. Cybersecurity threats continue to evolve, as evidenced by Operation FanTrap, where attackers utilized fraudulent FIFA branding across 4,000 malicious domains to steal credentials and spread malware during the World Cup. Meanwhile, Estonia is considering granting AI agents personal IDs to improve accountability and permission scoping, a concept that mirrors human identity management. IBM has furthered its commitment to AI security by joining OpenAI’s Daybreak Cyber Partner Program. This partnership aims to leverage frontier AI models to enhance application security, specifically by identifying and protecting against vulnerabilities in enterprise codebases.