Digital Peeping Toms – AI Data Security
Remember when your sibling found your diary and threatened to expose your crush on the next-door neighbor? Well, imagine that diary is now digital, and instead of your nosy sibling, you've got AI models with potentially loose lips.
The AI Security Dilemma
We've previously explored why many organizations have taken a cautious approach to generative AI, with some even outright blocking LLM usage. And let's face it, the AI industry burst onto the scene with lots of excitement, but not much thought about the mess it might make. Early solutions like ChatGPT were like that friend who can't keep a secret – great to talk to, but maybe not the best confidant for your company's deepest, darkest secrets.
Even today, most LLM solutions available to the public, many for free, provide little to no guarantee that your input data will remain confidential. There's even a risk that this data might be used to further train the model!
C-Suite Concerns
It's no wonder that C-suite executives are concerned about AI adoption. To extract value from an LLM, you often need to provide highly confidential organizational information. A company could face devastating consequences if unpublished financial metrics, product innovation specs, contracts, or employee personal information were to leak. Just ask any organization that has been hacked—data security is now a top priority for businesses worldwide.
The Promise of AI
However, the potential of AI cannot be ignored. It offers numerous benefits:
There are countless ways AI can drive performance, making it crucial to figure out how to implement it securely.
Securing AI: A Solution Within Reach
The good news is that there is a way to harness AI's power while maintaining data security. Organizations are discovering they can now host AI solutions within their own firewalls, facilitated by readily available cloud solutions. The key is ensuring all data—prompts, uploaded files, and data connections—remain under the organization's ownership and control.
With the right configurations, data can be digested, parsed, and vectorized (AI jargon for turning content into mathematical representations), and presented to an AI model in a manner it can understand. All of these steps can be performed within an owned cloud environment and contained within a company's existing security infrastructure.
The Kyva Solution
While AI can be configured to be data-secure, achieving this requires effort and deep knowledge in both cloud architecture and AI. Many organizations lack the technical expertise or resources to build a bespoke solution, leaving them stuck between forgoing AI altogether or risking third-party solutions where their critical data resides on another party's servers.
This is where Kyva comes in. We provide a self-hosted AI solution that clients can install onto their cloud instance with the click of a button. All data remains in their environment and under their control—not even Kyva Corp has access. With Kyva you now have all the functionality of the 3rd party enterprise AI solutions without the data risk. And even better, you can stand up a corporate-wide, powerful, multi-model LLM solution in less time than your average meeting.
With Kyva, your AI assistant becomes the ultimate confidant – all the smarts, none of the gossip. So go ahead, tell your AI your secrets. This diary is locked, and no one is going to find out!