Lisbon events

AZUGPT: Securing Azure OpenAI and Azure AI Services: Best Practices

Wednesday 2 October 2024

This event has finished.

Started 18:30 PM

Finished 20:00 PM


Organized by Azure & AI User Group Portugal


Venue: Microsoft Portugal

Address: Rua do Fogo de Santelmo, Lote 2.07.02
Parque das Nações
1990-110 Lisboa

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About this event

Azure User Group Portugal’s next event is at Microsoft Lisbon. This event will be dedicated to Azure OpenAI and Azure AI Services.

**Speaker:** Tiago Costa

**Event Language:** Portuguese

**Agenda:**

* 18:30 — Welcome and introduction

* 18:40 — Session: Securing Azure OpenAI and Azure AI Services: Best Practices for the field

* 19:40 — Closing

**Securing Azure OpenAI and Azure AI Services: Best Practices for the field**

In today’s fast-paced world, AI and Generative AI solutions are rapidly expanding, providing unparalleled access to vast amounts of data. Ensuring the security of these solutions is paramount, as compromised applications can lead to significant data breaches and security risks. Are you still using Keys to access your Azure OpenAI / AI resources?

In this demo-depend session, I will show you how to implement keyless authentication for Azure OpenAI and other Azure AI Services using RBAC, ensuring secure and seamless access.

Using a .NET application as an example, I will demonstrate how to connect to Azure OpenAI and other AI services, using the OpenAI SDK and Azure AI SDKs. Additionally, I will show how to secure your application from code to deployment in production using, CI/CD pipelines and infrastructure-as-code. At the end of the session, I will show you 5 key takeaways you can take with you and implement in your organization.

Join me for a security upgrade!

**[Join the meeting now](https://teams.microsoft.com/l/meetup-join/19%3ameeting_MmVhNzllMWMtYzI0ZS00OGMwLTk3ZjUtYzg2Y2U0ODc5MTE3%40thread.v2/0?context=%7b%22Tid%22%3a%2272f988bf-86f1-41af-91ab-2d7cd011db47%22%2c%22Oid%22%3a%221f662c8e-38db-4266-a3ae-ae967afd77c1%22%7d “Meeting join link”)**

Meeting ID: 210 067 147 900

Passcode: TnvmuY


This page last updated Monday 30 September 2024 at 00:27.

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