The implementation of artificial intelligence in industry requires flexibility and rapid adaptation to fast-paced technological changes, while maintaining the stability and security of key processes. Companies that can quickly identify and scale effective solutions, while discarding inefficient ones, gain a competitive advantage.
In modern industrial facilities, cybersecurity has become an integral part of technical maintenance and safety, as automated and OT systems support all stages of the equipment lifecycle. The reliability of data and systems directly impacts the efficiency and safety of production.
The International Society of Automation and the OT Cybersecurity Coalition have formed a partnership to enhance the protection of critical infrastructure by promoting the adoption of the unified global ISA/IEC 62443 standard. This collaboration aims to raise awareness about risks and harmonize requirements in the field of OT cybersecurity.
Coca-Cola is investigating a cyberattack on its Fairlife dairy division in the United States, which led to a temporary halt in production. The quality and safety of the products were not affected, and the company is working to restore its systems.
Microsoft has changed its policy toward independent security researchers following community criticism, abandoning legal threats and strengthening cooperation. However, key Windows vulnerabilities remain unresolved, and new exploits continue to emerge.
In a practical test for vulnerability detection in applications, modern AI models demonstrated significant differences in both effectiveness and cost. GPT-5.5 proved to be the most effective, while DeepSeek V4 Pro was the most cost-efficient—an important factor when scaling cybersecurity tools.
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