Anton Gridin
Employers on the program
- 2024–2025Amazon Web Services2 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Secure Generative AI using trusted execution environments as Amazon Web Services There are numerous implications to data privacy and intellectual property security in generative AI applications, here we will focus on solving for some of…Show lessThere are numerous implications to data privacy and intellectual property security in generative AI applications, here we will focus on solving for some of those using trusted executions environments (TEEs). | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Operationalizing AWS Nitro Enclaves applications as Amazon Web Services Data protection is crucial when it comes to processing sensitive datasets for healthcare, financial, demographic, and social media use cases. In this workshop,…Show lessData protection is crucial when it comes to processing sensitive datasets for healthcare, financial, demographic, and social media use cases. In this workshop, learn to build and operationalize your AWS Nitro Enclaves applications using CI/CD. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | workshop | Build, verify & run apps to protect data with AWS Nitro Enclaves [REPEAT]Join this hands-on workshop to learn how to isolate highly sensitive data from your users, applications, and third-party libraries on your Amazon EC2 instances…Show lessJoin this hands-on workshop to learn how to isolate highly sensitive data from your users, applications, and third-party libraries on your Amazon EC2 instances using AWS Nitro Enclaves. Explore Nitro Enclaves, discuss common use cases, and run a sample application inside an enclave. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Operationalize your AWS Nitro Enclaves–based applications [REPEAT] Data protection is crucial when it comes to processing sensitive datasets for healthcare, financial, demographic, and social media use cases. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Arvind Raghu | 3 | 1 | 2025 |
| David-Paul Dornseifer | 3 | 1 | 2025 |
| J.D. Bean | 3 | 1 | 2025 |
| Aaron Chen | 3 | — | 2025 |
| Aaron Dailey | 3 | — | 2025 |
| Aaron Sempf | 3 | — | 2025 |
| Abbas Mooraj | 3 | — | 2025 |
| Abhishek Pandey | 3 | — | 2025 |
| Abhishek Sharma | 3 | — | 2025 |
| Abhishek Srivastav | 3 | — | 2025 |
| Adam Hill | 3 | — | 2025 |
| Addy Upreti | 3 | — | 2025 |
| Adil Can | 3 | — | 2025 |
| Aditi Garg | 3 | — | 2025 |
| Aditya Challa | 3 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.