Hissan Usmani

Secure and Private AI - DeepMask

Stop sending sensitive company data to public AI models. Learn how to build a secure, private AI on your own documents, hosted entirely in Germany.

Secure and Private AI - DeepMask
#1about 2 minutes

Introducing DeepMask as a secure ChatGPT alternative

Public large language models create significant data privacy and compliance challenges for companies, particularly those operating in Germany and the EU.

#2about 1 minute

Building custom AI solutions with a three-step process

DeepMask uses a tiered approach of system prompting, retrieval-augmented generation (RAG), and fine-tuning to create tailored AI models on its own GPU infrastructure.

#3about 1 minute

Ensuring data security with an API and strict privacy

DeepMask provides a secure API for integration and guarantees that no customer data or prompts are stored or used for training, ensuring full IP protection.

#4about 1 minute

Exploring future applications and company background

The platform is expanding to include new products like code and email assistants, all powered by its secure, locally hosted API.

Related jobs
Jobs that call for the skills explored in this talk.

job ad

Saby Company
Delebio, Italy

Intermediate

test

Milly
Vienna, Austria

Intermediate

Matching moments

Addressing data privacy and security in AI systems
19:14 MIN

Addressing data privacy and security in AI systems

Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j

Evaluating the new AI model Deep Seek and its data privacy implications
01:34 MIN

Evaluating the new AI model Deep Seek and its data privacy implications

WAD Live 22/01/2025: Exploring AI, Web Development, and Accessibility in Tech with Stefan Judis

Securely connecting generative AI to enterprise data
15:37 MIN

Securely connecting generative AI to enterprise data

How E.On productionizes its AI model & Implementation of Secure Generative AI.

Q&A: Addressing privacy and data security in ML models
51:11 MIN

Q&A: Addressing privacy and data security in ML models

Data Science in Retail

Exploring solutions to mitigate data privacy risks
13:55 MIN

Exploring solutions to mitigate data privacy risks

Data Privacy in LLMs: Challenges and Best Practices

Analyzing the risks and architecture of current AI models
22:05 MIN

Analyzing the risks and architecture of current AI models

Opening Keynote by Sir Tim Berners-Lee

The rise of self-hosted open source AI models
00:05 MIN

The rise of self-hosted open source AI models

Self-Hosted LLMs: From Zero to Inference

Implementing responsible AI and data privacy in enterprises
14:46 MIN

Implementing responsible AI and data privacy in enterprises

Architecting the Future: Leveraging AI, Cloud, and Data for Business Success

Featured Partners

Related Videos

See all videos
Beyond the Hype: Building Trustworthy and Reliable LLM Applications with Guardrails29:00

Beyond the Hype: Building Trustworthy and Reliable LLM Applications with Guardrails

Alex Soto

How E.On productionizes its AI model & Implementation of Secure Generative AI.19:27

How E.On productionizes its AI model & Implementation of Secure Generative AI.

Kapil Gupta

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?28:12

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?

Justus Lumpe, Konstantin Vinogradov, Nils Eiteneyer & Stephan Wirris

Data Privacy in LLMs: Challenges and Best Practices23:50

Data Privacy in LLMs: Challenges and Best Practices

Aditi Godbole

Open Source AI, To Foundation Models and Beyond31:05

Open Source AI, To Foundation Models and Beyond

Ankit Patel, Matt White, Philipp Schmid, Lucie-Aimée Kaffee & Andreas Blattmann

Self-Hosted LLMs: From Zero to Inference30:04

Self-Hosted LLMs: From Zero to Inference

Roberto Carratalá & Cedric Clyburn

Bringing AI Everywhere26:25

Bringing AI Everywhere

Stephan Gillich

When worlds collide: How will generative AI change the way we design and build software44:00

When worlds collide: How will generative AI change the way we design and build software

Jonas Andrulis & Mike Butcher

Related Articles

View all articles
DC
Daniel Cranney
Stephan Gillich - Bringing AI Everywhere
In the ever-evolving world of technology, AI continues to be the frontier for innovation and transformation. Stephan Gillich, from the AI Center of Excellence at Intel, dove into the subject in a recent session titled "Bringing AI Everywhere," sheddi...
Stephan Gillich - Bringing AI Everywhere
CH
Chris Heilmann
Exploring AI: Opportunities and Risks for Developers
In today's rapidly evolving tech landscape, the integration of Artificial Intelligence (AI) in development presents both exciting opportunities and notable risks. This dynamic was the focus of a recent panel discussion featuring industry experts Kent...
Exploring AI: Opportunities and Risks for Developers
EM
Eli McGarvie
13 AI Tools You Have to Try
First, it was NFTs, then it was Web3, and now it’s generative AI… it’s probably time to stop collecting pictures of monkeys and kitties. Chatbots and generative AI are the next big thing. This time we’ve jumped on a trend that has real-world applicat...
13 AI Tools You Have to Try

From learning to earning

Jobs that call for the skills explored in this talk.