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In the rush to implement Gen AI, businesses are massively energised by its transformative potential. Increasingly part of the tech mainstream, interest in the development and integration of AI tools continues to grab the headlines.
January 2025 alone, for example, saw the launch of the USD 500 billion Stargate initiative and Silicon Valley’s ‘Sputnik moment’, with China’s DeepSeek, disrupting the industry with a low cost, low resource open source-based AI app, which resulted in a sharp fall in key AI-related share prices and a commitment from Meta and Microsoft to double down on their investment strategies.
These major stories are just a snapshot of the wider industry landscape. Digging deeper reveals a wide range of transformative developments across sectors as diverse as law, healthcare and retail. Everywhere you look, it seems Gen AI is making an impact.
Fears turning into reality
Behind the headlines, however, are some mission-critical security challenges that, if not properly addressed, bring the very real risk of data breaches and the accompanying regulatory fallout.
Take the issues associated with putting sensitive company intellectual property or customer data in SaaS-based AI Applications, for example. On the face of it, this can feel like an easy win as organisations can apply AI reasoning to their own datasets without the need to develop core technology. The problem here is this strategy is akin to giving away an organisation’s most important asset free of charge.
The risks inherent in this approach are very real. A high-profile example came to light in 2023 when multiple technology and news organisations reported that Samsung employees accidentally shared “top secret” information, including proprietary source code, with ChatGPT. Reporting in South Korea at the time described it as “fears turning into reality”, with the data stored on an external server and impossible to retrieve.
In many cases, AI companies also retain the data entered by users to train and optimise their models, meaning the information shared by one user could become the answer to a question posed by another.
This forms part of a wider security concern about the use of ‘shadow AI’, which is the use of AI
applications outside of an organisation’s approval or control. Given there are already thousands of AI apps out there designed for an enormous range of use cases, the scope for further security and privacy-related incidents is significant.
A win-win scenario
The question here is how can businesses balance risks with rewards. Despite the massive commercial pressures to innovate, many increasingly understand the need to deploy GenAI solutions securely.
Establishing a win-win scenario means it’s imperative that private data, such as intellectual property and customer information, stays private. Businesses today require an AI platform that gives them complete control over their data and the ability to manage their AI operations independently. This platform must be flexible, efficient, and made up of interchangeable parts, offering both a variety of options and robust security..
Undoubtedly, the Chinese AI open source app DeepSeek drew worldwide attention to the potential of open source AI models, disrupting the industry. And while DeepSeek shows the innovative potential of open source AI, little is known about its levels of security, data integrity and governance.
For enterprises, data sovereignty and the option to run the LLMs of their choice on a secure platform - on-premises, hybrid or air-gapped environments - are business-critical for an enterprise AI platform. With predictable costs and extensible architecture, the right open source AI platform helps users maintain choice and avoid vendor lock-in while adapting to evolving needs. A secure AI platform also supports compliance, threat detection and observability, placing control into the hands of each organisation where this technology is implemented.
Enterprises focused on turning the potential of AI into bottom-line benefits – and that’s just about all of them – should definitely look for a vendor with a secure enterprise open source platform with certifications and strong in-built security that offers a future road map to innovation without compromise.
