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The Internet of Things, big data and the cloud: implications for privacy and trust Russell Craig National Technology Officer, Microsoft NZ [email protected]

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Page 1: The Internet of Things, big data and the cloud ... · Create the Internet of Your Things CHALLENGE Fujitsu is the world’s fourth-largest IT services provider with approximately

The Internet of Things, big data and the cloud: implications for privacy and trust

Russell Craig

National Technology Officer, Microsoft NZ

[email protected]

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What are we going to talk about?

• What is the Internet of Things?

• What is big data?

• How do they relate to the cloud?

• Privacy Issues – what should we care about/why should we care?

• Enabling trust – the role of the industry

Page 3: The Internet of Things, big data and the cloud ... · Create the Internet of Your Things CHALLENGE Fujitsu is the world’s fourth-largest IT services provider with approximately

“Connected world solutions

combine sensors and

technologies to enable

objects and infrastructure to

interact with monitoring,

analytics and control systems

over Internet-style networks.”

Source: Forrester

Things Connectivity

Data Analytics

What is the Internet of Things?

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Hardware is cheap

Connectivity is pervasive

Development is easy

New Innovative Scenarios

Huge benefits fuel demand

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1970 1980 1990 2000 2010

10,000,000,000

1,000,000,000

100,000,000

10,000,000

1,000,000

100,000

10,000

1,000

Transistors

Moore’s Law Metcalf‘s Law Koomey’s Law

1.E+14

1.E+12

1.E+10

1.E+08

1.E+06

1.E+04

1.E+02

1.E+00

Computations

per KWh

1940 20101975

The energy needed for a fixed

computing load falls by a

factor of 100 every decade.

Value of a telecommunications network is

proportional to the square of the number of

connected users of the system (n2).

Over the history of computing hardware, the

number of transistors in a dense integrated

circuit has doubled approx. every two years.

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intelligence will become ambient

intelligence from machine learning

Page 9: The Internet of Things, big data and the cloud ... · Create the Internet of Your Things CHALLENGE Fujitsu is the world’s fourth-largest IT services provider with approximately

What Microsoft Says

9

You have things…

Infrastructure

Things

Transportation

ThingsCitizen

Things

that you get data

from and store…

Cloud Storage

that you derive

insights from…

HDInsight Power BI

that allows you to

do…

Predictive

Maintenance

Command and

Control

Page 10: The Internet of Things, big data and the cloud ... · Create the Internet of Your Things CHALLENGE Fujitsu is the world’s fourth-largest IT services provider with approximately

Decrease costs through asset

monitoring

Increase revenue through service

improvement

Create additional revenue

streams by monetizing new

opportunities

Make IoT real in your business

Reach new customers

and markets

Improve

customer service

and loyalty Remote

monitoring and

management

10

Enable innovation Transform your businessImprove efficiency

Page 11: The Internet of Things, big data and the cloud ... · Create the Internet of Your Things CHALLENGE Fujitsu is the world’s fourth-largest IT services provider with approximately

Create the Internet of Your Thingswww.InternetofYourThings.com

CHALLENGE

Fujitsu is the world’s fourth-largest IT services

provider with approximately 162,000 employees in

more than 100 countries and holds about 97,000

patents worldwide. Fujitsu wanted to help dairy

farmers increase production, improve data insights

and transform their business by optimizing the

timing of artificial insemination (AI). It also wanted to

decrease loss through early detection of health

issues.

o Improves calf production up to 31%, with an

average of 12%

o Modernizes data access with mobile phone

alerts, reducing labor costs for monitoring cows

o Transforms herd management by allowing

farmers to increase chances of producing a

male or female calf

o Reduces loss by detecting 8-10 different kinds

of diseases in cattle

BENEFITSSOLUTION

Fujitsu learned from public research that a cow

produces more estrus (goes into heat) 16 hours after

the number of steps increases significantly. The

company created an innovative solution which uses a

rugged pedometer with a five-year battery to

measure the number of footsteps a cow takes, then

sends that data to the cloud for analysis to determine

optimum AI timing and even affect calf gender. In

addition, the patterns of steps can detect disease in

cattle. Alerts are delivered to the farmer’s cell phone.

FUJITSU

The connected cow: Using IoT

to transform cattle production

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The Internet of Things – Healthcare

HOSPITALPATIENT HOME OUTPATIENT FACILITY

Connect patient data to contextual

data, so the latest patient data

automatically displays on care

provider devices based on their

location and role.

Transform the vehicle into

a smart environment that

monitors health indicators.

Monitor patient conditions with in-home

medical devices that alert care team staff when

a health event occurs.

Make authorized patient data accessible

from a unified point, enabling a holistic

view of the patient’s journey so providers

can optimize each care interaction.

Integrate data

from existing

and non-

traditional sources

to drive Big Data

analytics, enabling

care process

innovation

and healthcare

transformation.

HEALTHCARE ECOSYSTEMCombine data from various sources

to uncover insights that enable

an enhanced patient journey,

improved operational efficiency,

and better risk management.

Make patient data visible and

actionable in near real-time, enabling

improved outcomes through data-

driven decision making, better

coordination and error reduction.

PHARMACY

GOVERNMENT

RESEARCH

INSURANCE

COMPANIES

DEMOGRAPHICS

WEATHER RETAIL

Enable an interactive experience between

patients and collaborative care teams,

and reduce response times by providing

remote access to the latest patient data.

35

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Page 14: The Internet of Things, big data and the cloud ... · Create the Internet of Your Things CHALLENGE Fujitsu is the world’s fourth-largest IT services provider with approximately

ComputeData

Storage

Microsoft Azure

Network

Services

App

Services

Cloud is fundamental enabler of IoT and big data

Global Physical

Infrastructure

Stores over 50 trillion objects

Handles on average 127,000 requests/second

Peak of 880,000 requests/second

> 2 billion active directory transactions/day

14

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Devices Device Connectivity Storage Analytics Presentation & Action

Event Hubs SQL DatabaseMachine

LearningApp Service

Service BusTable/Blob

Storage

Stream

AnalyticsPower BI

External Data

SourcesDocumentDB HDInsight

Notification

Hubs

External Data

SourcesData Factory Mobile Services

BizTalk Services

{ }

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Azure Intelligent Systems Service

Vehicle Tracking Device Cameras Power Meter Load Meter Smoke Fire Alarms Humidity Sensor Flow Meter Occupancy Sensor Temperature Sensor

INTELLIGENT DEVICES Machine Controller

Vehicle Tracking Smart Grid General Equipment Retail Kiosk Fire Detection Healthcare Smart Building Automation Digital Advertising Smart Home Automation

Monitoring

Data collection and alerts

Asset tracking & Geo-fencing

Preventive maintenance

Usage based billing

Remote Access

Securely log into remote devices and products to diagnose issues

Remote servicing - diagnose, and repair problems

Content Distribution

Automate software deployment to assets

Distribute files to devices.Content includes asset-specific files, doc, ads

Microsoft Azure Intelligent Systems Service(s)

Configuration Management

Store and access asset configurations

Compliance Management

Telematics

M2M GatewayNETWORK

[email protected]

Automotive Retail Industrial Healthcare Security & Surveillance Energy Smart Home Smart Cities

Windows I0 IoT

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Switching focus: data and analytics

• Gartner identifies “Big Data” and extreme information processing and management, in-memory database management systems and quantum computing as transformational with adoption between 2 and 5 years

• This would also enable enterprises to leverage Predictive Analytics which has already seen greater mainstream adoption combined with cloud computing as transformational in broadening the options in developing and sourcing IT

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Humans as data sources

Per person per day (in “golden billion”)

• 50-200 e-mails

• 10-50 voice calls

• 1-100 SMS and twits

• 0.1 blog posts

• 1-20 financial transactions

• 3-30 search requests

• 10-30 articles, read on the

Internet

• 10 audio records

• 30-90 minutes of

TV/Video

• 20-200 appearances in

video monitoring cameras

• 1-100 geospatial “notches”

• 20-200 RFID checks

And at least 4.5 billion of people have at least phones (mostly

wireless)

From The Human Face of Big Data by Rick Smolan. EMC inspired.

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World today

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…and tomorrow

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What should we care about?

1. Get the rules of the game right.

2. Create value by doing.

3. Establish the foundations: value,

inclusion trust and control.

“Our vision: New Zealand is a world leader in the

trusted, inclusive and protected use of shared data to

deliver a prosperous society”

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Why should we care?

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Big = big opportunityFor governments:

• Budget savings

• Transparency and responsibility

• Real insight into society

• Optimal decisions

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Big data = big opportunity

For people:

• Self organization

• Better experiences

• Intelligent environment

• Introspection

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Big data = big opportunity

For business:

• Converting products to services

• Expanded value chains

• New business models

• Educated targeting

F r o m P r o d u c t t o S e r v i c e

V = V0 + A∙N + B∙N2

Value for

customer

Imminent

value

Volume

valueNetwork

value

On Premise

Off PremiseBig Data

& BIClients

Employees

Partners

Mobility

&

Connectivity Value

Socialization

of Business

http://www.businesslogicsystems.com/Data%20Management

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Big data = big opportunity

For IT industry

• Next chance to change the world

• Step towards internet of everything

• Completely new markets

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Big challengeFor people

• New lack of privacy

• Automated justice

• Need to understand

• Risks of:• Re-identification• Re-personalization• Undesirable profiling• False aggregation• Incorrect inferences• Unwanted targeting• Etc.

Joseph Goebbels

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Big challenge

For business

• Hard to comply

• Easy to violate

• Unexpected backfire

• Need to defend sourcesTarget Predicts Pregnancy with Big Datahttp://smallbusiness.yahoo.com/advisor/target-predicts-pregnancy-big-data-104057627.html

Why Netflix's Facebook app would be illegalBy Julianne Pepitone @CNNMoneyTech March 27

VPPA arose from strange circumstances surrounding the

failed Supreme Court nomination of Robert Bork. While

Bork's nomination hearings were taking place in 1987, a

freelance writer for the Washington City Paper talked a

video store clerk into giving him Bork's rental history.

Google facing legal threat from six

European countries over privacyhttp://www.guardian.co.uk/technology/2013/apr/02/google-privacy-policy-legal-threat-europe

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Big challenge

For government

• It is hard to be transparent

• It is easy to overuse

• Hard to defend sources

George Orwell, 1984http://budget4me.ru/ob/faces/home

http://online.wsj.com/article/SB10001424052970203391104577124540544

822220.html?mod=googlenews_wsj

http://www.wikileaks.org/

http://www.washingtonpost.com/investigations/us-intelligence-mining-data-from-nine-us-internet-companies-in-broad-secret-program/2013/06/06/3a0c0da8-cebf-11e2-8845-d970ccb04497_story.html

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Big challenge

For IT industry

• Needs new hardware and software architecture to address scale

• Needs to know how to protect customers

• Needs to address extremely complicated usage scenarios

• Risk of over-restrictive regulation

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Pro Con

People: collective knowledge

Business: from disordered offerings to quality of life service

Government: know and address real needs of citizens

IT industry: change the world (again?)

People: final lack of privacy

Business: disruptive scenarios

Government: chance to miss everything

loss of trust

IT industry: new approaches to hw and sw

architecture, addressing new challenges

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Long term

Q: where do societies need to focus?

A: computational ethics and Big Data

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• Benefiting from opportunities and mitigating risks assumes careful handling of

digital assets of high business and personal value, both in known scenarios and in

completely new situations

• To proceed successfully one should follow some sort of fundamental principles –

clear and consistent

“Ethics, also known as moral philosophy, is a branch of philosophy that involves

systematizing, defending and recommending concepts of right and wrong conduct.”

http://www.iep.utm.edu/ethics/

Why ethics?

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Big Data and traditional ethics

• Let’s take concepts from traditional ethics and examine how they should

apply to the digital world, and how they evolve under influence of Big

Data capabilities

• Four elements of Big Data Ethics: Identity, Privacy, Ownership, Reputation

• Big Data is ethically neutral

• Personal data – not some specific data, but any data generated in the

course of a person’s activities

• Privacy interests, not always ultimate rights

• A responsible organization is an organization that is concerned both with

handling data in a way that aligns with its values and with being perceived

by others to handle data in such a manner.Kord Davis; Ethics of Big Data -

Balancing Risk and Innovation.

O'Reilly Media, 2012

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Big-Data ethics: Privacy

• Privacy is the ability of an individual or group to seclude themselves or information about themselves and thereby reveal themselves selectively(wikipedia).

• In 1993, the New Yorker published a cartoon whose caption read: “On the Internet, nobody knows you’re a dog” At the time, this was funny because it was true. Today, in the age of big data, it is not only possible to know that you’re a dog, but also what breed you are, your favorite snacks, your lineage, and whether you’ve ever won any awards at a dog show.

• There are two issues. First, does privacy mean the same thing in both online and offline in the real world? Second, should individuals have a legitimate ability to control data about themselves, and to what degree?

Following Davis Kord. Ethics of Big Data.

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Benefits of ethics inquiry

• Faster consumer adoption by reducing fear of the unknown (how

are you using my data?)

• Reduction of friction from legislation from a more thorough

understanding of constrains and requirements

• Increased pace of innovation and collaboration derived from a

sense of purpose generated by explicitly shared values

• Reduced risk of unintended consequences from an overt

consideration of long-term, far-reaching implications of the use of

big-data technologies

Partially following Kord Davis. Ethics of Big Data.

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Shorter term: focus on enabling trust

Where do we start?- understand the domain & who is responsible for what.

What should we expect of the cloud industry?- industry is an enabler- all clouds are not equal- public should expect a lot

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Microsoft’s approach to trust: building security, privacy, transparency and compliance into the cloud

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Cloud is becoming integral to business transformationThe secure pathway to innovation

39

Reshape how you engage with customersStart with a trusted &

resilient foundation

Enable more productive workLeverage economies of

scale and expertise

Drive new and more rapid

sources of innovation

Use the cloud to drive

business strategy

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Cybersecurity concerns persistGlobal attacks are increasing and costs are rising

40

Cybercrime extracts between 15% and 20% of the

value created by the Internet.1

Total financial losses attributed to security

compromises increased 34% in 2014.3

In the UK, 81% of large corporations and 60% of small

businesses reported a cyberbreach in the past year.2

Impact of cyber attacks could be as much as $3 trillion

in lost productivity and growth.4

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But cloud momentum continues to accelerate

“If you’re resisting the

cloud because of security

concerns, you’re running

out of excuses.”

“The question is no longer:

‘How do I move to the

cloud?’ Instead, it’s ‘Now

that I’m in the cloud, how

do I make sure I’ve

optimized my investment

and risk exposure?’”

“By 2020 clouds will stop

being referred to as ‘public’

and ‘private’. It will simply

be the way business is

done and IT is provisioned.”

41

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1.2 billion worldwide users2

300+ million users per month5

48 million members in 57 countries4

57% of Fortune 5004

10,000 new subscribers per week2

3.5 million active users4

Online

5.5+ billion worldwide queries

each month3

450+ million unique users each month6

The Microsoft Trusted Cloud

200+ cloud services,

1+ million servers,

$15B+ infrastructure

investment

1 billion customers,

20 million businesses,

90 countries worldwide1

42

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Microsoft cloud – a trusted foundation

Privacy and

ControlSecurity Transparency Compliance

43 43

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Azure Security

Microsoft delivers enterprise cloud services

customers can trust

• Industry-leading best practices in the design and management

of online services

• Enhanced security, operational management, and threat

mitigation practices

• Trustworthy enterprise cloud services

• Centers of excellence

44

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Infrastructure protection

Azure infrastructure includes hardware, software, networks, administrative and

operations staff, policies and procedures, and the physical data centers that house it all

24 hour monitored

PHYSICAL SECURITY

Centralized

MONITORING AND ALERTS

Anti-Virus/Anti-Malware

PROTECTION

Red Teaming

PENETRATION TESTING

FIREWALLSUpdate

MANAGEMENT

45

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Network isolation: Blocks

unauthorized users from the

network using a distributed

virtual firewall

Virtual networks: Customers can connect one

or more cloud services using

private IP addresses.

VPN and ExpressRoute: Site-to-site and point-to-site

VPNs help enable secure

connections.

Encrypted

communications:

Encryption within and

between deployments, and

from Azure to on-premises

datacenters with TLS and

Perfect Forward Secrecy.

Network protection

Azure networking provides the infrastructure necessary to securely connect VMs to one another and to connect on-premises data centers with Azure VMs.

46

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Identity & access control

Azure enables customers to better control access in a multi-tenant environment

Azure Active Directory (AD)

offers enterprise identity and

access management in the

cloud.

Enterprise cloud directory

Security reports monitor

access patterns that help

identify potential threats.

Access monitoring and

logging

Strong authentication adds an

extra layer of security for user

logins.

Multi-Factor

Authentication (MFA)

Users get a single sign-on option across

multiple applications and services.

Single sign-on

Developers can integrate their app with Azure

AD for single sign-on functionality for their

users.

Integration with customer applications

47

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PrivacyAzure Privacy & Control

Microsoft makes our commitment to the privacy of

our customers a priority with independently audited

policies and practices that include restricting the

mining of Customer Data for advertising or similar

commercial purposes.

48

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PrivacyTrustworthy foundation

Microsoft privacy principles are designed to facilitate the responsible use

of customer data, be transparent about practices, and offer meaningful

privacy choices.

Privacy by

Design

Guidelines that help ensure privacy is applied in the

development and deployment of products and services.

Microsoft

Privacy Standard

Azure uses logical isolation to segregate

each customer’s data from that

of others.Data segregation

49

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ISO/IEC 27018

Prevents use of customer data for

purposes unrelated to providing the

cloud service.

Prohibits use of customer data for

advertising and marketing purposes

without customer’s express consent.

Microsoft is the first

major cloud provider

to adopt the first

international code of

practice for governing

the processing of

personal information

by cloud service

providers.

50

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Contractual commitments

Adopt ISO/IEC 27018 code of practice

Offer customers E.U. Standard Contractual Clauses that provide

specific contractual guarantees around transfers of personal data

for in-scope services.

Have European data privacy authorities validate that its

enterprise agreement meets EU requirements on international

data transfers

Abide by US-EU Safe Harbor Framework and the US-Swiss Safe

Harbor Program.

Microsoft

was the first

major cloud

service

provider to…

51

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Access controls are verified by independent audit and certifications.

Restricted data access

52

Customer data is only accessed when necessary to support customer’s use of

Azure (e.g. troubleshooting or feature improvement), or when required by law.

When granted, access is controlled and logged.

Strong authentication, including MFA, helps limit access to

authorized personnel only.

Access is revoked as soon as it’s no longer needed.

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Law enforcement requests

The Law Enforcement Request Report discloses

details of requests every 6 months.

Microsoft doesn’t provide any government with

direct or unfettered access to Customer Data.

Microsoft only releases specific data

mandated by the relevant legal demand.

If a government wants customer data it

needs to follow the applicable legal process.

Microsoft only responds to requests for specific

accounts and identifiers.

Microsoft does not

disclose Customer Data

to law enforcement

unless as directed by

customer or required by

law, and will notify

customers when

compelled to disclose,

unless prohibited by law.

53

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Customer Data

54

When a customer utilizes Azure, they retain exclusive ownership of their data.

Control over

data location

Customers choose data location and

replication options.

Role based

access control

Tools support authorization based on a user’s role,

simplifying access control across defined groups of users.

Encryption key

management

Customers have the flexibility to generate and manage

their own encryption keys.

Control

over data destruction

Deletion of data on customer request and on contract

termination.

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Data protection

Azure provides customers with strong data protections – both by default and as

customer options

55

Data isolation

Logical isolation segregates each customer’s

data from that of others is enabled by default.

In-transit data protection

Industry-standard protocols encrypt data in

transit to/from outside components, as well as

data in transit internally by default.

Data redundancy

Customers have multiple options for

replicating data, including number of copies

and number and location of replication data

centers.

At-rest data protection

Customers can implement a range of

encryption options for virtual machines and

storage.

Encryption

Data encryption in storage or in transit can be

deployed by the customer to align with best

practices for ensuring confidentiality and

integrity of data.

Data destruction

Strict standards for overwriting storage

resources before reuse and the physical

destruction of decommissioned hardware are

by default.

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Cloud Transparency

Microsoft helps enable customer control over

Customer Data by providing transparency into where

it is stored, who can access it, and how Microsoft

helps secure it, with accessible tools and

straightforward language.

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Data storage and use

57

Customers

know where and

how their data is

stored and used

Customers control where Customer Data is stored

Microsoft doesn’t use Customer Data for advertising

Microsoft doesn’t share Customer Data with our advertiser-supported services or

mine it for marketing

Microsoft uses Customer Data only to provide the services,

including purposes compatible with providing the services.

Customers may delete Customer Data

or leave the service at any time

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Security practices

Build security into software code (SDL)

Ensure Azure infrastructure is resilient to

attack

Safeguard user access to Azure

environment

Keep customer data secure through

encrypted communications

Customer

knows how

we help

secure their

data

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Microsoft and compliance

Microsoft invests heavily in the development of

innovative compliance technology, processes and

integration in Azure. The Microsoft compliance

framework for online services maps controls to

multiple regulatory standards, which helps drive the

design and building of services that meet today’s

high level of security and privacy needs.

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Azure Compliance

Microsoft’s security

compliance program includes

rigorous testing, the

implementation of best

practices, and many other

functions to achieve

certificates and attestations.

Azure meets a

broad set of

international,

regional, and

industry-specific

compliance and

regulatory

standards.

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Compliance framework

Microsoft maintains a

team of experts focused

on ensuring that Azure

meets its own

compliance obligations,

which helps customers

meet their own

compliance requirements.

Compliance

certifications

Compliance strategy

helps customers address

business objectives and

industry standards &

regulations, including

ongoing evaluation and

adoption of emerging

standards and practices.

Continual evaluation,

benchmarking, adoption,

test & audit

Ongoing verification by

third party audit firms.

Independent verification

Microsoft shares audit

report findings and

compliance packages

with customers.

Access to audit reports

Prescriptive guidance on

securing data, apps, and

infrastructure in Azure

makes it easier for

customers to achieve

compliance.

Best practices

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Extensive experience and credentials

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Operations

Security

Assurance

HIPAA/

HITECH

CJISSOC 1

201220112010

SOC 2

FedRAMP

P-ATO

FISMA

ATO

UK G-Cloud OFFICIAL

2013 2014 2015

ISO/IEC

27001:2005

CSA Cloud

Controls

Matrix

PCI DSS

Level 1

AU IRAP

Accreditation

Singapore

MCTS

ISO/IEC

27018EU Data

Protection

Directive

CDSA

Page 63: The Internet of Things, big data and the cloud ... · Create the Internet of Your Things CHALLENGE Fujitsu is the world’s fourth-largest IT services provider with approximately

Partnering with industry leaders

Extensive experience in

security compliance

assessments for both

U.S. and global

government customers

Promoting a standards-

based approach to cloud

compliance

Proposing clear

principles for reform of

government surveillance

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