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AI & Enterprise

AI-driven security strategy sees generational shift as priorities change

Growing concern over cyberattacks that misuse advanced AI models is prompting calls for companies to reset security priorities. With AI able to find software vulnerabilities faster, the focus is shifting to minimising exposure time and adopting zero-trust approaches to contain spread even after a breach. Anthropic and Cloudflare warn that faster patching must be balanced with validation and testing. Governments and firms are also expanding AI-driven security programmes, partnerships and investments.

AI & Enterprise

Cryptolab, KT to co-develop encrypted AI solution to automate medical insurance review

Cryptolab said on May 28 it signed a joint research and development agreement with KT to develop a medical multimodal agentic AI solution based on AI security technology. The companies aim to build a medical AI infrastructure that lets AI agents analyze and infer without exposing patient data externally by combining KT\'s security cloud infrastructure with Cryptolab\'s homomorphic encryption-based generative AI security middleware. They plan to develop a multimodal AI agent to support hospitals\' pre-review of insurance claims.

AI & Enterprise

LG Uplus to work with CryptoLab on homomorphic encryption to build next-generation security

LG Uplus said on March 10 it will cooperate with homomorphic encryption company CryptoLab to build a next-generation security environment aimed at preventing damage even in hacking or data leaks. The companies are conducting a proof of concept to apply the technology to the ixi-O AI call agent and an AI contact centre. LG Uplus said homomorphic encryption allows computation on encrypted data, helping protect plain-text data and supporting protection against quantum-computer attacks.