The Key Principles for Ensuring Data Engineering and AI Security
Is your data engineering and AI systems security strategy prepared for the next level? Get ready to explore how Data Engineering and AI can enhance your software company's security measures and ensure GDPR compliance. This workshop presents a unique opportunity for your organization to dive deep into the realm of Secure Data Engineering and AI within the Azure framework.
Are you facing the challenges of effectively managing large volumes of data while adhering to GDPR requirements and security best practices? In this workshop, we will walk you through the creation of robust data pipelines that ensure both data security and GDPR compliance, all while following best practices.
Discover the seamless integration of AI into your systems to elevate predictive analytics and intelligent recommendations, all while maintaining stringent data protection standards. Additionally, you will gain insights into implementing end-to-end security measures that protect data storage, strengthen AI applications, and prioritize security at the core of your software development processes.
Agenda
Data Engineering and AI Security and GDPR Compliancy for Software Companies
Explore how to strengthen data infrastructure for optimal performance and security in AI applications. Furthermore, we'll delve into navigating the intricate landscape of GDPR to ensure software companies handle data appropriately and remain compliant with regulations.
Securing Data Engineering pipelines for Software Organizations on Azure
Delve into strategies for ensuring the strength and integrity of data pipelines in the Azure environment. This involves exploring various security measures and best practices to safeguard data as it moves through the engineering process.
Securing AI systems in Software Development on Azure
Tackle the critical subject of Securing AI Systems in Software Development on Azure. Our focus will be on strategies to ensure the safety and integrity of AI systems within the Azure ecosystem. We'll delve into a range of security approaches and best practices tailored to the unique challenges posed by AI development.
Live Q&A Session
Ask all your question during this live Q&A session.
For Whom?
Whether you're already a data and AI expert or just getting started in the world of data and artificial intelligence, don't worry. Our Data & AI Security Workshop is suitable for various levels of knowledge and experience. Enroll and gain valuable insights and practical strategies to enhance your awareness of security in the realm of data and AI.
Speakers
Leonor Sa
Azure Data Engineer at Intercept
K. Waaijer
Practice Lead Data & AI, SME Data&AI Scurity, Data Scientist at Intercept
Tags
Security & Compliance
Data
Data and AI
There are no planned events at this moment.
Possibly interesting as well:
How to build a Data Lake
Today, companies save all kinds of data, even when they don’t yet have a use case for it. But where should all these different types of datasets be stored? This is where the Data Lake comes in!
What your data journey looks like depends on your use case. Nevertheless, within any data project, there are five generic steps that any company will take to get insights from their data. Have a look!
Strenghten your Azure Kubernetes cluster security: The top 5 must haves!
Azure Kubernetes Services has many built-in security features. Additional ones are available that can be configured from the Azure Controle plane. But what configurations should you use?
Secure your data science environment in Azure: 6 indispensable tools!
In this article, we will guide you on how to enhance the security of your Azure data science environment. It's always better to be safe than regretful!
Finding the right information regarding Microsoft Azure security, privacy, compliance statements, and reports can be challenging. The Microsoft Trust Center and the Microsoft Service Trust Portal can help, but how?
Are you ready to face the devastating consequences of a hack on your Azure environment?
Are you ready to face the devastating consequences of a hack on your Azure environment?
Better safe than sorry, so you want to enhance the security of your environment before it's too late.
In this e-book we share the best practices with you and help you enhance the security within your business.
Act before it's too late and start reading now :)
Intercept achieves CSA STAR Level 1 certification: strengthening security and trust
Discover how Intercept proudly achieved the CSA STAR Level 1 certification and what it means for the security and trust of our cloud computing services.
5 best practices to protect your Azure subscription(s) against Cryptojacking
Due to the hyperscale nature of Azure, it’s also attracting malicious actors such as organized criminal enterprises and state-sponsored hacking groups. Protecting your digital assets is therefore a critical part of your SaaS lifecycle.
Azure Security Workshop: Secure the Cloud with Confidence
Increase your security awareness in the Azure environment with our Security workshop. Learn valuable insights and strategies with Azure Security solutions to protect your critical data in the Azure Cloud.
A new year full of new innovations from Azure. Azure has certainly not been standing still! Nor is there any sign that things are getting quieter. Join our expert for a look back at 2022 and forward to 2023!
Breaking the bank on Azure: what Apache Spark tool is the most cost-effective?
Figuring out which tool has the lowest execution costs is often a complicated task. In this article, we break down the costs. With this information, you can decide which option is best for your company.
Data Factory vs. Databricks: When your love for data is missing some (Apache) Spark
How do you choose the data partner that suits you best? Azure Data Factory has great benefits when you start out, but Apache Spark allows you to explore deeper layers. So is Azure Databricks your data partner that brings the "Spark" back into your data project? One thing is for sure, in Azure you don't necessarily have to choose a monogamous data solution.
These seven points will make software security the starting point of your process.| ‘Shifting Left’ is the practice of moving a phase of the software development process “to the left” when you consider the traditional software development life cycle.
Get your NEN 7510 certificate with Azure: tips for working safely in the cloud as a healthcare MSP
Help your healthcare clients make a safe transition to the cloud and achieve or maintain your NEN 7510 certification a lot faster with the tips from this blog.
How do you protect your organization against Ransomware?
Never waste a good crisis”, these famous words by Churchill could not be more relevant today as shown by the increasing number of ransomware attacks which have a significant impact on affected organizations and on our society.
In this article, I would like to focus on how you can grapple with the following topics: expertise management amongst personnel, IaaS vs PaaS, how you can keep pace with innovations, DevOps culture, cloud security, and framework.
What is Azure Cloud Governance and how do I apply it to my Environment?
Cloud technologies are relatively easy to implement. You can be up and running within minutes, but rushing at the start often leads to more work later on. That’s why it’s important for you to have a solid plan in place.
How does Azure deal with privacy, security and compliance?
Data security is growing importance. As an organization, you’re obliged – including under strict regulations – to handle your data with care. You don’t want your data to end up in the wrong hands either.
The Cloud is even with a lot of data traffic the solution for ISVs
Many organizations, mainly ISVs, think that moving to the Public Cloud comes with high costs. This does not have to be the case at all. In fact, moving to the Public Cloud is often more cost beneficial.
