It offers robust LLM Firewall solutions, ensuring your data and identity are protected in the AI space. Our service secures your data, offers prompt anonymity, and prevents unauthorized access. Perfect for users valuing security.
@aryan_kohli great feedback, thanks a lot. We would work towards making the token allocation easier. Right now all token allotted to a business is shared.
I am curious to know if you have a part preference in mind or suggestion.
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Congratulations on this launch 🔥 I've always been worried about security when using GPT, but now I can put that to rest lol :)
@henryseo Absolutely, your identity is protected now. Did you give it a try?
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ZeroTrusted addresses 2 major pain points of the LLM,
1. Privacy
2. Ensembling of multiple LLMs
Amazing, looking forward to dive deep into the ZeroTrusted.
As someone with clients in law, finance, etc. (highly regulated industries) who value privacy and data security, we've been unable to fully embrace AI technology like ChatGPT because, in line with their internal policies, we cannot input any of their company data into such LLMs.
I like that this platform allows us to harness the power of language models without any concerns about data being tracked or misused. It's a game-changer for teams safely and easily using AI applications. Great idea! I wish I'd thought of it!
@sidraref@vijay_karavadra I like that in your chat you have some examples that I can click on to see the product in action. A great launch, team!
Hey @jake_mcmahon1 ,
I'm glad you liked the idea and it's useful.
Give it a try and drop an email if you need any help and we would be happy to help - contact@zerotrusted.ai. Thanks.
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This web app seems to be promising to provide features for data security. What are measures employed for data security to ensure compliance with data protection regulations and safeguard against potential breaches
@bilal_mohammed1
Good question. We detect any PII/PHI/PCI in your provided search prompt and sanitize them before passing it over the LLM.
We also prevent a list of compliances like NIST, HIPAA etc.
At the end of chat, you get a detailed report which shows detected and fixed privacy issues.
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We provide software development and mobile app development please if you need any IT solutions services ping me on jaydeep@vnnovate.com
@sentry_co we support openAI and many other LLMs. In our premium plan, we enhance accuracy by running your query on multiple LLMs and then we use our scoring model to determine most reliable - think Kayak. Users can also select 1 LLM.
Our main role is to be the privacy layer for our customers.
@sentry_co this is partly true, however:
1) any sensitive information are already masked by our system.
2) most importantly, your identity isn't tied to that query you searched and it cant be traced back to you since we don't keep any data and wont even know who sent what. Your queries are just so anonymous text embedded within large corpus amount of data.
BTW - this is only aspect of the value we provide.
@femitfash Right. But human data is extremely identifiable. And if you obfuscate it too much, then OpenAI doesn't understand it right? or? Im just trying to understand here. Some kind of illustration or example would make this more clear I think. A segment of text goes into your service then goes to openai etc. What does the data look like at each juncture etc? You know what I mean? Btw. Love the problem your trying to solve here!
@sentry_co
Here is an example - suppose a medical expert needs to process the following input:
"Create a summary of this patient's diagnosis: Patient Name: Paul Smith Date of Birth: 12/08/1987 SSN: 666-555-5555 Diagnosis: Chronic Heart Disease Treatment Plan: Undergo heart surgery by Dr. Smith at General Hospital on 03/15/2024 Insurance: ABC Health Insurance, Policy Number 434444444"
Before we pass it on to any LLM, we'll alter the sensitive (PHI compliance violations) details and transform to:
"Create a summary of this patient's diagnosis: Patient Name: John Doe Date of Birth: 01/01/1970 SSN: 123-45-6789 Diagnosis: Chronic Heart Disease Treatment Plan: Undergo heart surgery by Dr. Smith at General Hospital on 03/15/2024 Insurance: ABC Health Insurance, Policy Number 987654321"
This way, we preserve the context, while ensuring that your PHI compliance is met and sensitive data isn't exposed to LLM.
After getting a response from the LLM, we revert the swapped sensitive value to your original while preserving the result context.
We will be adding features that will allow RLHF to learn and adjust to customer preferences.
Hope this helps.
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