Learn about Microsoft Security Copilot

Microsoft Security Copilot (Security Copilot) is a generative AI-powered security solution that helps increase the efficiency and capabilities of defenders to improve security outcomes at machine speed and scale, while remaining compliant to responsible AI principles.

Introducing Microsoft Security Copilot:

Learn how the Microsoft Security Copilot works.

Learn how Security Copilot combines an innovative large language model with tailored, security-specific capabilities to help you defend at machine speed.

Let’s have a quick demo how it works – Defend at Machine speed.

This demonstration of Microsoft Security Copilot exhibits an incident response scenario. Security Copilot pulls data from Microsoft 365 Defender, Microsoft Sentinel, Microsoft Defender Threat Intelligence, and Microsoft Intune to provide next-level enrichment and context to the security analyst performing the investigation. Follow along as the incident is summarized, threat intelligence profiles are revealed, device context is added, natural language is translated to Kusto Query Language for simplified threat hunting, and a reported is generated, all with natural language prompts.

Microsoft Ignite 2023 and Security Copilot announcement:

Ok let me summarize what we discussed so far:
– Security Copilot provides a natural language, assistive copilot experience that helps support security professionals in end-to-end scenarios such as incident response, threat hunting, intelligence gathering, and posture management.
– The solution leverages the full power of OpenAI architecture to generate a response to a user prompt by using security-specific plugins, including organization-specific information, authoritative sources, and global threat intelligence.
– By using plugins as data point sources, security professionals have wider visibility into threats and gain more context and have the opportunity to extend the solution’s functionalities.

You can get more information from here:
– Get started: https://www.microsoft.com/en-sg/security/business/ai-machine-learning/microsoft-security-copilot?rtc=1
– Documentation: https://learn.microsoft.com/en-us/security-copilot/
– FAQ: https://learn.microsoft.com/en-us/security-copilot/faq-security-copilot
– Data Security and Privacy: https://learn.microsoft.com/en-us/security-copilot/privacy-data-security

Let’s learn further… 🙂

meet Microsoft365 COPilot, the enterprise ready AI

I wish you to experience the power of next-generation AI with Microsoft 365 Copilot —  for work. It combines the power of large language models (LLMs) with your data in the Microsoft Graph and the Microsoft 365 apps to turn your words into the most powerful productivity tool on the planet.

How its integrated? Microsoft 365 Copilot is integrated into in two ways. It works alongside you, embedded in the Microsoft 365 apps you use every day — Word, Excel, PowerPoint, Outlook, Teams and more — to unleash creativity, unlock productivity and uplevel skills.

Must try: Also you may want to try the, Business Chat. It works across the AI, Microsoft 365 apps, and your data — calendar, emails, chats, documents, meetings and contacts — to do things you’ve never been able to do before.

How it works? You can use the simple English phrases  like “Tell my team how we updated the product strategy,” and it will generate a status update based on the morning’s meetings, emails and chat threads.

With Copilot, you’re always in control. You decide what to keep, modify or discard. Now, you can be more creative in Word, more analytical in Excel, more expressive in PowerPoint, more productive in Outlook and more collaborative in Teams.

For more information, you can refer: Introducing Microsoft 365 Copilot – your COPilot for work – The Official Microsoft Blog and visit https://aka.ms/WorkLabAI too!!

Connect the Conversational AI/BOTs, Graph API and Authentication

Connecting your bot to resources like the Microsoft Graph API, LinkedIn, or Uber can be challenging.

In this video, learn about the newly built-in authentication cards supported in Azure Bot Service, enabling your bot to authenticate users against a wide variety of auth providers and perform tasks on their behalf.

Related info/documentation:

FAQ: https://github.com/Microsoft/botbuilder-dotnet/wiki/FAQ
Samples: https://github.com/Microsoft/botbuilder-dotnet/tree/master/samples
Docs: https://docs.microsoft.com/en-us/azure/bot-service/rest-api/bot-framework-rest-direct-line-3-0-authentication?view=azure-bot-service-3.0

Hope this helps.

Microsoft AI & ML developer – Video Moderation with Content Moderator

Content moderation is the process of monitoring for possible offensive, undesirable, and risky content. Content Moderator, a Cognitive Services product, combines machine-assisted content moderation APIs and human review tool for images, text, and videos into a complete content moderation solution. In this episode, Sanjeev & Seth will get an overview of Content Moderator and learn about its video moderation capabilities. They will cover the API and the human review capabilities in Content Moderator.

BTW, the Azure Content Moderator API is a cognitive service that checks text, image, and video content for material that is potentially offensive, risky, or otherwise undesirable. When such material is found, the service applies appropriate labels (flags) to the content. Your app can then handle flagged content in order to comply with regulations or maintain the intended environment for users.

Step-by-step Tutorial:

• Develop applications using content moderator @ https://docs.microsoft.com/en-us/azure/cognitive-services/content-moderator/ecommerce-retail-catalog-moderation

Hope this helps.

Difference between Azure Machine Learning Studio vs. Workbench vs Azure Machine Learning Services?

When introduced Azure Machine Learning Workbench was a preview downloadable application. It provides a UI for many of the Azure Machine Learning CLI commands, particularly around experimentation submission for Python based jobs to DSVM or HDI. The Azure Machine Learning CLI is made up of many key functions, such as job submission, and creation of real time web services. The workbench installer provided a way to install everything required to participate in the preview.

Azure Machine Learning Studio is an older product, and provides a drag and drop interface for creating simply machine learning processes. It has limitations about the size of the data that can be handled (about 10gigs of processing). Learning and customer requests have based on this service have contributed to the design of the new Azure Machine Learning CLI mentioned above. BTW, now it should be added that Azure Machine Learning Workbench is deprecated since September 2018 and has been replaced by the Azure Machine Learning services (now GA).

The core functionality is still intact, but some major changes to point out about the architecture are:

• A simplified Azure resources model
• New portal UI to manage your experiments and compute targets
• A new, more comprehensive Python SDK
• A new expanded Azure CLI extension for machine learning

So in short, Azure Machine Learning service contains many advanced capabilities designed to simplify and accelerate the process of building, training, and deploying machine learning models. Automated machine learning enables data scientists of all skill levels to identify suitable algorithms and hyperparameters faster. Support for popular open-source frameworks such as PyTorch, TensorFlow, and scikit-learn allow data scientists to use the tools of their choice. DevOps capabilities for machine learning further improve productivity by enabling experiment tracking and management of models deployed in the cloud and on the edge. All these capabilities can be accessed from any Python environment running anywhere, including data scientists’ workstations.

Microsoft AI & ML developer – Video Moderation with Content Moderator

Content moderation is the process of monitoring for possible offensive, undesirable, and risky content. Content Moderator, a Cognitive Services product, combines machine-assisted content moderation APIs and human review tool for images, text, and videos into a complete content moderation solution. In this episode, Sanjeev & Seth will get an overview of Content Moderator and learn about its video moderation capabilities. They will cover the API and the human review capabilities in Content Moderator.

https://channel9.msdn.com/Shows/AI-Show/Video-Moderation-with-Content-Moderator/player

Hope this helps.