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AI & Enterprise
Tech Insight: Beyond security threats, fears grow over AI abuse to hack systems and regulations
Interest is rising in the cybersecurity impact of Anthropic’s AI model Mythos, which is reported to be highly effective at finding software vulnerabilities. As experiences using Mythos are shared by organisations including the Mozilla Foundation and Palo Alto Networks, concerns over AI-driven threats are growing. Security expert Bruce Schneier says such AI could be used not only to attack critical systems but also to exploit loopholes in tax codes and complex regulations, potentially causing greater damage.
AI & Enterprise
Mythos warning puts AI security paradigm shift at crossroads
Security concerns sparked by Anthropic\'s AI model Claude Mythos are spreading across government and industry in South Korea, with growing calls to rethink defenses as AI can detect vulnerabilities and generate attack code. A Cloud Security Alliance report says the time from vulnerability discovery to exploitation has shrunk sharply. South Korean ministries have held an emergency meeting, while experts urge stronger governance, standardized information sharing and automated, AI-driven defenses alongside basic asset management.
AI & Enterprise
LG unveils Korean version of universal AI risk taxonomy at India AI summit
LG AI Research participated in the India AI Impact Summit in New Delhi on Feb. 20 and shared global cooperation measures and implementation results for building a responsible AI ecosystem. It unveiled K-AUT, a Korean version of a universal AI risk taxonomy, covering four key areas and 226 detailed risk items. LG AI Research also introduced an AI ethics MOOC project with UNESCO, set for global release in May.