SC-5009 Secure AI solutions in the cloud using Microsoft Defender for Cloud and Microsoft

Price
Net €
VAT €

Price
Price on Request

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
Online Live

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Cloud-based AI opens up enormous possibilities, but it also raises new security concerns. Without clear safeguards, risks to data, systems, and business processes can quickly arise.

Key Topics

Security architectures for AI in the cloud.
Use of Defender technologies for attack detection.
Securing models, data, and APIs.
Compliance requirements in AI projects.
Automated security analysis and monitoring.

Prerequisites
Experience with cloud platforms and basic knowledge of IT security

Target Audience
Cloud engineers, security specialists, IT administrators, technical decision-makers

Modern security solutions combine transparency with control. Structured security for cloud AI reduces risks while simultaneously enhancing the performance of digital applications.

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Course Content

Understanding AI Security and Governance in Microsoft Azure with Microsoft Defender for Cloud

Understanding AI services in Azure.
Understanding AI security risks in Azure.
AI guardrails and safeguards in Azure.
How Azure security and governance tools support AI workloads.

Protect AI workloads with Microsoft Defender for Cloud

Activate the AI Workload Plan.
Reviewing insights in the Data & AI Security Dashboard.
Assess and improve the AI security posture with Cloud Security Posture Management (CSPM).
Detect AI threats at runtime with Cloud Workload Protection (CWP).
Investigate AI security alerts with prompt evidence in Microsoft Defender XDR.

Configuring and Managing Guardrails in Microsoft Foundry

Understanding Guardrails and Microsoft Content Safety.
Understand security controls in Microsoft Foundry.
Try out integrated guardrails.
Create and manage blocklists in Microsoft Foundry.
Configure and apply guardrails in Microsoft Foundry.
Select and optimize the right guardrails for your AI workloads.

Secure Microsoft Foundry environments

Control access to Microsoft Foundry using Microsoft Entra ID.
Manage access within Microsoft Foundry projects.
Protect Microsoft Foundry secrets with Azure Key Vault (preview).
Isolate networks using Managed Virtual Network and Private Link.
Enable diagnostic logging in Microsoft Foundry.

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently Asked Questions

Why is security critical for AI solutions in the cloud?

AI processes sensitive data and makes automated decisions. Without proper safeguards, this can lead to real business risks and compliance violations.

What are the risks associated with unsecured AI workloads?

Data breaches, tampered models, and unauthorized access threaten the integrity, availability, and trust in AI systems.

What exactly does Microsoft Defender for Cloud offer in the context of AI?

Centralized monitoring, threat detection, and security assessments for AI workloads in hybrid and multi-cloud environments.

How can AI models be specifically protected against attacks?

By securing training data, implementing access controls, monitoring, and detecting anomalies in model behavior at an early stage.

What role does compliance play in cloud-based AI?

Regulatory requirements mandate transparent, traceable, and secure processing of sensitive data in AI applications.

How do integrated tools improve the security strategy?

Automated analyses and consistent security policies reduce vulnerabilities and speed up responses to threats.

In which scenarios is secure AI deployment particularly important?

The healthcare sector, the financial sector, and critical infrastructure require the highest security standards for AI-based processes.

What direct benefits does specializing in AI security offer?

Stronger protection for sensitive systems, higher market demand, and a stronger position in cloud and security projects.

Do you have any further questions? Please contact us.

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