Japan: Sony und TSMC planen Joint Venture für neue Bildsensoren
Sony und TSMC wollen gemeinsam neue Bildsensoren entwickeln – und planen dafür ein neues Joint Venture. Einige Details sind aber noch offen. (Sony, TSMC)
Quelle: Golem
Sony und TSMC wollen gemeinsam neue Bildsensoren entwickeln – und planen dafür ein neues Joint Venture. Einige Details sind aber noch offen. (Sony, TSMC)
Quelle: Golem
Steigende Strompreise sowie Lärm- und Luftverschmutzung veranlassen immer mehr US-Gemeinden, die Ansiedlung von Rechenzentren zu verbieten. (KI, Wirtschaft)
Quelle: Golem
Wer auf einem E-Book-Reader liest, will vielleicht nicht jedes Mal zum Gerät greifen, um umzublättern. Der Boox Tappy soll helfen. (E-Book-Reader, Mobil)
Quelle: Golem
Erst im Juni ist der Prime Day, doch schon jetzt reduziert Amazon den Preis beim Fire TV Stick HD. (Fire TV Stick, Amazon)
Quelle: Golem
Wish You Were Here von Pink Floyd erschien letztes Jahr als limitierte Deluxe-Version. Nun ist das Vinyl-Set bei Amazon billig wie dort nie. (Unterhaltung & Hobby)
Quelle: Golem
In this article
Defense in depth as a systemSecure by design: Engineering security into the platformHardware and host-level trustVirtual machine-layer trustSecure by default: Protection enabled without frictionSecure defaults across networkingEncryption and data protection by defaultCompute protection defaultsSecure in operation: Continuous protection at runtimeMonitoring, detection, and signal correlationIdentity-centric control and least privilegeBringing defense in depth and SFI together Security as an ongoing platform commitment
This blog post is the third part of a blog series called Azure IaaS which will share best practices and guidance to help you build a trusted infrastructure platform—from performance, resiliency, and security to scalability and cost efficiency.
Security for cloud infrastructure is no longer defined by a single control, product, or boundary. Modern threats target identity, software supply chains, control planes, networks, and data simultaneously. Addressing this reality requires two things to work together: a layered defense-in-depth architecture and security principles that are enforced consistently across the platform.
In Azure Infrastructure as a Service (IaaS), security is built around these two reinforcing ideas. First, Azure implements defense in depth, applying multiple, independent layers of protection across compute, networking, storage, and operations so that no single control stands alone. Second, those protections are guided by Microsoft’s Secure Future Initiative (SFI) principles: secure by design, secure by default, and secure in operation. Together, they define how Azure IaaS is engineered, configured, and operated at scale.
Explore Azure IaaS solutions
Defense in depth as a system
Defense in depth is not a checklist of features—it is a system-level security architecture. Each layer is designed with the assumption that another layer may fail, and that compromise at one point should not lead to platform-wide impact.
In Azure IaaS, defense in depth spans the full infrastructure stack:
Hardware and host integrity
Virtualized compute isolation
Network segmentation and traffic control
Data protection for storage
Continuous monitoring and response
These layers are intentionally independent. Hardware root-of-trust mechanisms validate host integrity before workloads ever start. Virtual machines (VM) run with strong isolation boundaries enforced by the hypervisor. Network controls limit lateral movement and restrict exposure. Storage services encrypt and protect data even if credentials are compromised. And telemetry and monitoring systems operate continuously, detecting and responding to anomalous behavior across the platform.
This layered approach ensures that Azure IaaS security does not rely on perimeter assumptions or a single “control plane defense,” but instead applies multiple mutually reinforcing controls that work together.
Build a stronger cloud infrastructure with Azure IaaS
Secure by design: Engineering security into the platform
“Secure by design” means security is architected into the platform from the beginning, not added after deployment. In Azure IaaS, this starts at the lowest layers of the stack.
Hardware and host-level trust
Azure servers are built with hardware roots of trust, measured boot, and secure firmware validation. Technologies such as Trusted Platform Modules (TPMs) and secure boot validate that host firmware, boot loaders, and operating systems have not been tampered with before the system joins the Azure fleet. These mechanisms reduce exposure to firmware-level and boot-chain attacks that traditional software-only defenses cannot address.
Azure also offloads critical infrastructure functions—such as storage, networking, and management operations—into dedicated, hardened components like Azure Boost, reducing the attack surface of the host operating system and improving isolation between customer workloads and platform services.
Virtual machine-layer trust
At the virtual machine layer, Azure enforces strong virtualization boundaries using a hardened hypervisor. Features like Trusted Launch for Azure VM combine secure boot, virtual TPMs, and integrity monitoring to protect VMs against low-level attacks such as bootkits and kernel rootkits.
For highly sensitive workloads, Azure confidential computing extends defense in depth by using trusted execution environments (TEEs) backed by hardware-based memory encryption (such as AMD SEV‑SNP or Intel TDX). These technologies help ensure that data remains protected even while in use and inaccessible to the host or hypervisor.
Security here is not a bolt-on—it is a design property of how Azure compute infrastructure is built and operated.
Secure by default: Protection enabled without friction
Secure-by-default controls reduce risk by making the safest option the standard configuration, without requiring customers to assemble security from scratch.
Learn how to keep critical applications running with built-in resiliency at scale with Azure IaaS
Secure defaults across networking
In Azure IaaS, networking defaults are aligned with least-privilege and Zero Trust principles. Virtual networks are isolated by default. Inbound traffic to VM is blocked unless explicitly allowed. Network security groups (NSGs) enforce stateful filtering, while Azure Firewall provides centralized policy enforcement and traffic inspection when deployed.
Private connectivity options such as Azure Private Link and private endpoints allow services to be accessed without exposing them to the public internet. DDoS protection is automatically applied at the platform edge, helping protect workloads from volumetric attacks without additional configuration.
These defaults limit exposure by design, narrowing the attack surface before workload-specific rules are added.
Encryption and data protection by default
Azure IaaS storage services encrypt data at rest by default, using platform-managed keys, with options to use customer-managed keys via Azure Key Vault or Managed HSM. Disk encryption protects operating system and data disks for VM, and secure snapshots protect point-in-time copies of data.
Encryption in transit is enforced across Azure backbone networks, ensuring traffic between services within the platform is protected without requiring per-workload configuration.
Secure-by-default encryption ensures that data protections are always on, not optional.
Compute protection defaults
Signed and measured Azure host boot, secure host operating system (OS) hardening, host‑level monitoring and patching by Microsoft, and hypervisor-enforced isolation between tenants are all enabled by default and cannot be disabled by Azure tenants.
Trusted Launch is enabled by default for newly created Azure Gen2 VMs and VM scale sets, when using supported OS images, VM sizes, and deployment methods. Supported deployments methods include deployment via the Azure Portal, ARM templates, Bicep, Terraform, and Azure SDKs.
Secure in operation: Continuous protection at runtime
Security does not stop at deployment. The secure in operation principle focuses on maintaining protection continuously as threats evolve.
Monitoring, detection, and signal correlation
Azure integrates telemetry from compute, network, and storage layers into centralized monitoring systems such as Azure Monitor and Microsoft Defender for Cloud. These systems continuously analyze behavior to identify misconfigurations, detect threats, and surface actionable security recommendations.
For IaaS workloads, Defender for Cloud helps identify exposed management ports, missing disk encryption, and insecure network configurations, while also correlating threat signals across the environment.
Identity-centric control and least privilege
Operational security depends heavily on identity. Azure IaaS integrates with Microsoft Entra ID to enforce identity-based access controls, reduce standing privileges, and apply conditional access policies. Features like Just-In-Time (JIT) VM access limit administrative exposure by only opening management ports when needed and only for approved identities.
By minimizing persistent access and rotating privileges dynamically, Azure reduces the impact of credential compromise.
Bringing defense in depth and SFI together
Defense in depth provides the technical structure of Azure IaaS security. Secure by design, secure by default, and secure in operation provide the engineering and operational discipline that governs how those controls are built, deployed, and maintained.
Together, they ensure that Azure IaaS security is:
Layered: No single control is assumed to be sufficient.
Intrinsic: Security is part of the platform architecture, not an add-on.
Consistent: Defaults and policies reduce configuration drift.
Adaptive: Continuous monitoring and operational controls evolve with the threat landscape.
This combination allows Azure to protect IaaS workloads across compute, network, and storage while maintaining compatibility with diverse operating systems, workload types, and deployment models.
Security as an ongoing platform commitment
Azure IaaS security is not defined by a static set of features. It is the result of ongoing engineering investment, guided by clear principles, and reinforced through layered technical controls.
Defense in depth ensures that failures are contained. Secure-by-design architecture reduces attack surfaces from the start. Secure-by-default configurations minimize exposure without adding friction. And secure-in-operation practices ensure the platform continues to adapt as threats evolve.
Together, these principles define how Azure IaaS delivers infrastructure security that is systematic, scalable, and aligned with modern threat realities.
To go deeper, explore the Azure IaaS Resource Center for tutorials, best practices, and guidance across compute, storage, and networking to help you design and operate resilient infrastructure with greater confidence.
Did you miss these posts in the Azure IaaS series?
Explore new resources for building a stronger, more efficient infrastructure
Keep critical applications running with built-in resiliency at scale
Create a resilient infrastructure with Azure
Visit the Azure IaaS Resource Center to start building a stronger, more efficient infrastructure today.
Get started with Azure
The post Azure IaaS: Defense in depth built on secure-by-design principles appeared first on Microsoft Azure Blog.
Quelle: Azure
Starting today, Amazon EC2 G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in Europe (London) region. G7e instances offer up to 2.3x inference performance compared to G6e.
Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVIDIA GPUDirect Remote Direct Memory Access (RDMA) with EFA in EC2 UltraClusters, reducing latency for small-scale multi-node workloads.
You can use G7e instances for Amazon EC2 in the following AWS Regions: US West (Oregon), US East (N. Virginia, Ohio), Europe (Spain, London) and Asia Pacific (Tokyo, Seoul). You can purchase G7e instances as On-Demand Instances, Spot Instances, or as part of Savings Plans.
To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit G7e instances.
Quelle: aws.amazon.com
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8i instances are available in the Europe (Ireland) and Asia Pacific (Mumbai) regions. These instances are powered by custom Intel Xeon 6 processors available only on AWS. X8i instances are SAP-certified and deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. They deliver up to 43% higher performance, 1.5x more memory capacity (up to 6TB), and 3.3x more memory bandwidth compared to previous generation X2i instances. X8i instances are designed for memory-intensive workloads like SAP HANA, large databases, data analytics, and Electronic Design Automation (EDA). Compared to X2i instances, X8i instances offer up to 50% higher SAPS performance, up to 47% faster PostgreSQL performance, 88% faster Memcached performance, and 46% faster AI inference performance. X8i instances come in 14 sizes, from large to 96xlarge, including two bare metal options. To get started, visit the AWS Management Console. X8i instances can be purchased via Savings Plans, On-Demand instances, and Spot instances. For more information visit X8i instances page.
Quelle: aws.amazon.com
Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6 instances powered by NVIDIA L4 GPUs are available in AWS European Sovereign Cloud (Germany). G6 instances can be used for a wide range of graphics-intensive and machine learning (ML) use cases. Customers can use G6 instances for deploying ML models for natural language processing, language translation, video and image analysis, speech recognition, and personalization. G6 instances are also well-suited for graphics workloads, such as creating and rendering real-time, cinematic-quality graphics and game streaming. G6 instances feature up to 8 NVIDIA L4 Tensor Core GPUs with 24 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.52 TB of local NVMe SSD storage. In addition to AWS European Sovereign Cloud (Germany), Amazon EC2 G6 instances are available today in the AWS US East (N. Virginia and Ohio), US West (Oregon), Europe (Frankfurt, London, Paris, Spain, Stockholm and Zurich), Asia Pacific (Mumbai, Tokyo, Malaysia, Seoul and Sydney), South America (Sao Paulo), Middle East (UAE) and Canada (Central) Regions. Customers can purchase G6 instances as On-Demand Instances, Spot Instances, or as part of Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the G6 instance page.
Quelle: aws.amazon.com
Die schwarz-rote Koalition hält ihr Versprechen und präsentiert den Entwurf für ein rückwärtsgewandtes Heizungsgesetz. Es dürfte teuer für alle werden. Ein IMHO von Mario Petzold (Energiewende, Politik)
Quelle: Golem