Security Overview

•

2 likes•633 views

Amazon Web Services

Security
in the
AWS Cloud

Steve Riley
steriley@amazon.com
@steveriley
@awscloud
http://stvrly.wordpress.com

Amazon Web Services: 4 regions
Amazon CloudFront: 16 edge locations (including NY!)

Amazon S3
Amazon SimpleDB ++ ++
Amazon RDS (multi AZ)

Amazon EBS
Amazon RDS (one AZ) ++
Amazon EC2

0 0 0 00 0

00 0 0 0

00 0 0 0

/ /////

// / / /

// / / /

Customer only
Customer 1 Customer 2 … Customer n SSH, ID/pw, X.509
Root/admin control

Customer 1
virtual interfaces
Customer 2
virtual interfaces
… Customer n
virtual interfaces
Customer only
Inbound flows
Default deny
Customer 1
security groups
Customer 2
security groups
… Customer n
security groups

AWS firewall
AWS admins only
Hypervisor layer SSH via bastions
Audits reviewed
Physical interfaces

Web tier Application tier Database tier

HTTP/HTTPS SSH/RDP management SSH/RDP management
from Internet from corpnet from corpnet, vendor
SSH/RDP management
from corpnet

ec2-authorize WebSG -P tcp -p 80 -s 0.0.0.0/0
ec2-authorize WebSG -P tcp -p 443 -s 0.0.0.0/0
ec2-authorize WebSG -P tcp -p 22|3389 -s CorpNet

ec2-authorize AppSG -P prot -p AppPortRange -o WebSG
ec2-authorize AppSG -P tcp -p 22|3389 -s CorpNet

ec2-authorize DBSG -P prot -p DBPortRange -o AppSG
ec2-authorize DBSG -P tcp -p 22|3389 -s CorpNet
ec2-authorize DBSG -P tcp -p 22|3389 -s Vendor

Your VPC

Amazon
Web Services
Cloud
IPsec tunnel mode
128-bit AES, SHA-1, PFS, BGP

Your corporate network

Currently
• EC2 on-demand and reserved
• EBS
• CloudWatch
• Linux/Unix and Windows
• US-East, EU-West
Your VPC
Upcoming
Amazon
• >1 AZ, >1 router
Web Services
• Outbound Internet
Cloud
• Elastic IPs
• Elastic Load Balancing
• Autoscaling
Your corporate network • DevPay
• Inter-subnet security groups

• Read
• Write
• Full

•Read
•Write
•Full

“Key” = name of object

Compliance
• Sarbanes-Oxley Act
– Ongoing
• HIPAA
– Current customer deployments
– Whitepaper describes the specifics
• SAS 70 type II
– Second audit complete
– Physical security, access controls, change
management, operations
• ISO 27001
– In progress

Thank you
very much!

Steve Riley
steriley@amazon.com
@steveriley
@awscloud
http://stvrly.wordpress.com

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Steve Riley, Sr. Technical Program Manager at Amazon Web Services, led this session at the RightScale User Conference 2010 in Santa Clara. Session Abstract: Moving to the cloud raises lots of questions, mostly about security. Amazon Web Services has built an infrastructure and established processes to mitigate common vulnerabilities and offer a safe compute and storage environment. In this session, we'll discuss common cloud security concerns, show how AWS protects its infrastructure from internal and external attack, and explain how you can take advantage of the security features of AWS in your own applications as you extend your enterprise into the cloud.

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Networking in CloudStack is full-featured, full of bells and whistles and by necessity complicated. This session will take cloud operators through the ins-and-outs of CloudStack Networking. Attendees will learn the motivations behind how CloudStack networking is architected, solutions to common networking requirements, gotchas, troubleshooting CloudStack networking and finally some future directions for theses features. It is assumed that the audience will have some experience administering CloudStack clouds.

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Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS. In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.

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La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup. Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti. Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.

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In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th. Event Agenda : Open banking so far (short recap) • PSD2, OB UK, OB Australia, OB LATAM, OB Israel Intro to Open Finance marketplace • Scope • Features • Tech overview and Demo The role of the Cloud The Future of APIs • Complying with regulation • Monetizing data / APIs • Business models • Time to market One platform for all: a Strategic approach Q&A

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Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc. AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta. Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.

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Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity. AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet. Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.

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Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.

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Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

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Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

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Security Overview

1. Security in the AWS Cloud Steve Riley steriley@amazon.com @steveriley @awscloud http://stvrly.wordpress.com

2. Amazon Web Services: 4 regions Amazon CloudFront: 16 edge locations (including NY!)

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9. Amazon S3 Amazon SimpleDB ++ ++ Amazon RDS (multi AZ) Amazon EBS Amazon RDS (one AZ) ++ Amazon EC2

10. 0 0 0 00 0 00 0 0 0 00 0 0 0 / ///// // / / / // / / /

11. Customer only Customer 1 Customer 2 … Customer n SSH, ID/pw, X.509 Root/admin control Customer 1 virtual interfaces Customer 2 virtual interfaces … Customer n virtual interfaces Customer only Inbound flows Default deny Customer 1 security groups Customer 2 security groups … Customer n security groups AWS firewall AWS admins only Hypervisor layer SSH via bastions Audits reviewed Physical interfaces

12. Web tier Application tier Database tier HTTP/HTTPS SSH/RDP management SSH/RDP management from Internet from corpnet from corpnet, vendor SSH/RDP management from corpnet

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14. ec2-authorize WebSG -P tcp -p 80 -s 0.0.0.0/0 ec2-authorize WebSG -P tcp -p 443 -s 0.0.0.0/0 ec2-authorize WebSG -P tcp -p 22|3389 -s CorpNet ec2-authorize AppSG -P prot -p AppPortRange -o WebSG ec2-authorize AppSG -P tcp -p 22|3389 -s CorpNet ec2-authorize DBSG -P prot -p DBPortRange -o AppSG ec2-authorize DBSG -P tcp -p 22|3389 -s CorpNet ec2-authorize DBSG -P tcp -p 22|3389 -s Vendor

15. Your VPC Amazon Web Services Cloud IPsec tunnel mode 128-bit AES, SHA-1, PFS, BGP Your corporate network

16. Currently • EC2 on-demand and reserved • EBS • CloudWatch • Linux/Unix and Windows • US-East, EU-West Your VPC Upcoming Amazon • >1 AZ, >1 router Web Services • Outbound Internet Cloud • Elastic IPs • Elastic Load Balancing • Autoscaling Your corporate network • DevPay • Inter-subnet security groups

17. • Read • Write • Full •Read •Write •Full “Key” = name of object

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20. Compliance • Sarbanes-Oxley Act – Ongoing • HIPAA – Current customer deployments – Whitepaper describes the specifics • SAS 70 type II – Second audit complete – Physical security, access controls, change management, operations • ISO 27001 – In progress

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22. Thank you very much! Steve Riley steriley@amazon.com @steveriley @awscloud http://stvrly.wordpress.com