Management gurus put tech-leaders on pedestals for having full trust in their employees (work-from-anywhere, async,...). Trust is an inspiring managerial practice that has proven to boost employees’ productivity .
But then came the Samsung data leak bombshell.
It dropped like a Galaxy Note 7 exploding on a plane. Granted, Samsung might not have a high reputation when it comes to mitigating security risks. However, it's a good exercise to break down what happened earlier this month and discover why being flexible with your data security policy might not be the holy grail of 21st-century managerial practices.
It turns out, some employees from Samsung couldn't resist sharing their most prized possessions - trade secrets and source code - with none other than ChatGPT, the AI language model that became their not-so-secret confidante.
However, we're not here to unveil a juicy saga; we want to expose the risks and consequences of entrusting your organisation's crown jewels to an AI-powered chatterbox. And help you mitigate those risks.
When employees start spilling their company's secret sauce to ChatGPT, it's like opening Pandora's box of cybersecurity nightmares. The Samsung data leak revealed the harsh reality of unauthorised data dissemination and the potential for adversaries to exploit sensitive information.
It's enough to make you wonder if AI language models are more like AI language gossip mongers, ready to spill the tea to the highest bidder (or in this case, the most clever prompter). Protecting your intellectual property has never been more crucial - cue the dramatic music!
So - what can you do?
Balancing the benefits of AI assistance with the need to keep trade secrets under lock and key requires strategy and execution. We are here to help.
Data privacy is a critical aspect when it comes to conversational AI systems like ChatGPT. Companies need to ensure compliance with data protection regulations such as the General Data Protection Regulation (GDPR). Here is how you do that:
ChatGPT's lack of context retention poses a risk of unintentional information disclosure during conversations. The model may inadvertently reveal sensitive information that users have previously shared. To address this vulnerability, developers and users must exercise caution while interacting with ChatGPT and avoid sharing personally identifiable information or confidential data. Organisations can also supplement ChatGPT's capabilities by implementing additional security measures, such as pre-processing user inputs to remove sensitive information or integrating context-awareness mechanisms.
In addition to implementing the best practices mentioned above, organisations should also focus on developing a strong governance framework for AI usage. This includes establishing clear policies, guidelines, and procedures for using ChatGPT-like tools, as well as ensuring compliance with relevant data protection regulations, such as CCPA.
It is crucial to keep all stakeholders, including employees, clients, and partners, informed about the organisation's AI usage and the measures taken to ensure data security. Transparency and open communication can help foster trust and confidence in your organisation's use of AI tools like ChatGPT.
There is an even better solution. Enhance your security and gain greater control over your conversations, by self-hosting GPT-like models. Self-hosting allows organisations to host the AI model on their own infrastructure, enabling enhanced data control and tailored security measures. Here's why it's worth considering:
Implementing self-hosting successfully requires careful consideration and adherence to best practices. Here are some key recommendations:
If you’re reading this far I assume you're not going to take away ChatGPT-like tools from your employees. How you decide to mitigate the risk is up to you (or your chief security officer if you have one). So let’s cut to the chase.
Whether you want to self-host or not, we can help.
But whatever you decide is right for you, the key will always be employee training and awareness.
Foster a culture of security awareness and encourage reporting of any potential vulnerabilities or incidents.
 Guthrie JP. High-involvement work practices, turnover, and productivity: evidence from New Zealand. Acad Manag J. 2001;44(1):180–190.