There is tremendous pressure on regulated sectors like banking, healthcare, fintech, and legal services to implement generative AI. Executives desire automation, more efficiency, and quicker decision-making. However, because of stringent laws like HIPAA, GDPR, SOC 2, PCI-DSS, and FINRA, compliance risks are also rising. This leads to a basic contradiction between risk and creativity.. Serious …
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Large language models are becoming an important part of how modern businesses operate. Companies now use them for customer support, internal knowledge access, reporting, and decision-making. As this adoption grows, businesses are also becoming more cautious about how their data is processed and protected. This makes choosing the right private LLM provider a critical decision …
Generative AI is rapidly reshaping how modern companies operate, but it’s also exposing serious vulnerabilities for enterprises that rely on public AI platforms. Today, organizations need more than just powerful AI; they need secure, compliant, and fully controlled systems. It’s no surprise that over 27% of organizations have already restricted the use of public GenAI …
Businesses are rushing to incorporate AI into processes, but the more they investigate generative models, the more it becomes evident that control, governance, and security are just as important as model accuracy. Sensitive data cannot be handled by public APIs; government agencies, manufacturing, healthcare, insurance, and finance all need greater control over data, model behaviour, …