Cyberattacks are becoming more complex, prompting organizations to explore innovative solutions like digital twin technology. A digital twin is a virtual system replica that enables proactive cybersecurity threat detection and risk management. CISOs should consider integrating digital twin technology into their security frameworks to strengthen defences and stay ahead of evolving cyber threats.
Traditional fraud detection methods are resource-intensive and difficult to implement and maintain. Leveraging large language models (LLMs) offers a more efficient approach. LLMs can analyze vast amounts of data in real time, identifying fraud with less complexity. CIOs at SMEs should consider incorporating LLMs into their fraud detection systems to strengthen security while simplifying operations.
The new SEC Cybersecurity Disclosure Rules have taken effect and seek to mandate public companies, including foreign private issuers, to provide more detailed and uniform disclosures about cybersecurity. C-level IT executives need to understand these updated regulations and adjust their compliance plans accordingly to meet the new standards.
AI models require large amounts of data during the training phase, otherwise, models will be biased and perform poorly on given tasks. Although vendors sell datasets to remedy this, datasets are not available for all domains. IT teams tasked with AI responsibilities can use synthetic data generation to train AI models for data-scarce domains to create high-quality datasets on the cheap and fast-track AI model deployment.