1 February 2017

Security Challenges in Industrial Data Platforms

Hubert Tardieu

CEO Advisor and Co-Chair Scientific Community

European Stakeholder Forum

2 2

Digital Shockwaves IN BUSINESS MODELS

Data and Service Driven

Economy

Transient Business Moments

Multi-sided Business Platforms

Changes in value

perception

Redefined Supply Chains

Autonomous Processes

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Value creation THROUGH DATA-DRIVEN SMART SERVICES

OUTCOME-CENTRIC VALUE CREATION

ATOMIZED PROCESS COMPONENTS

ADAPTIVE SERVICES © Atos

Consumer Experience Data raw data

Production Data

Usage / Context Data B2B

INTERACTIONS

interpret

Orchestrated Ecosystem Platforms

refine

Market and Process Insight

monetize

Digital Business Models

Privacy & Security

Use my Data

usable data

usable data

4 4

Multi-sided Markets THE BASIS OF INDUSTRIAL DATA PLATFORMS

Multi-sided marketplaces establish symbiotic relationships between parties who can glean value from sharing platforms

Platform

SIDE

1 Same-side

network effects

Multi-homing

Cross-side

network effect

Same-side network effects

Pricing

Regulation Mutuality

Differentiation

Scalability

Economies of scale

Network effects

SIDE

2

5

The Company Relationships In the Customer and Partner Eco-System

Customer A

Partner X

Partner Y

Partner Z

Customer B

COMPANY

Industrial data platforms can be defined as virtual environments facilitating the exchange and connection of data among different companies and organisations through a shared reference architecture, common governance rules and within a secure business ecosystem

6

New sources of revenue ENABLED BY DIGITAL BLENDED BUSINESS MODELS

Industrial Data Platforms

CHASM

PIPELINE BUSINESS PLATFORM BUSINESS

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Data Monetization for B2B IN THE COMPANY ECOSYSTEM

Industry 4.0 Platform Objectives

• Shorter time to market

• Increase Flexibility

• Boost Efficiency

Industrial …… Data Platform

Customer A

Partner X

Partner Y

Partner Z

Customer B

▶ MultiHoming Industrial Data Space incl Semantics and Open API for IOT

▶ Security, Data Protection& Privacy Data Localization, Homomorphic Encryption

CISP code of conduct

▶ Distributed Ledger for Trustless Transactions Blockchains as community ledger

▶ Industrial Data platform contracts Get inspired by Outsourcing Contracts

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Some of the Remaining Challenges

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Industrial

…..Data

Platform

Multi Homing the solutions:

.....

.....

Industrial

…..Data

Platform ..... Industrial

…...Data

Platform

Customer

A

Partner

X

Partner

Y

Partner

Z

Customer

B Multi Homing

• Industrial Data Space

• Open API à la PSD2

• Homomorphic

Encryption

• Quantum Communication

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Homomorphic Encryption How does it work?

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Business Models CRYPTO-CURRENCIES AND BLOCKCHAIN

CLEARING HOUSE

CEN

TRA

LIZE

D L

EDG

ER

DIS

TRIB

UTE

D L

EDG

ER

PRINCIPLES CHALLENGES

Trustless

Distributed

Peer to Peer

Immutable

Open Source

Verifiable & Auditable

Sustainability

Volatility

Integrity

Capacity

Lack of governance and protection

!

CONCLUSIONS

“Private” Blockchains or Sidechains can help address some of the challenges, but may require compromises to some core principles. Blockchain and derivatives have the potential to become a primary means of authenticating business process transactions and will see mainstream adoption by 2020.

In the world of ubiquitous connectivity and peer to peer interactions, the challenge of establishing and maintaining

trust, security and privacy has never been greater