www.pwc.ch/cybersecurity
Cyber Security Compliance
How to protect enterprise data
appropriately?
Digital Transformation, Cyber Security & Compliance 3. May 2016
What I will cover in this «Afterwork Event»:
3. Mai 2016 SIGS Afterwork Event in Basel – Data Classification & DLP
My tasks for
enablement:
The current
Megatrends:
The digital
future:
The
Challenges:
Apply to your
enterprise
•
Digital
Transformation
•
Misuse of
services and
data
•
More data
•
My personnel
digital assistant
•
The Internet of
Things (IoT)
•
What data to
protect?
•
Threats?
•
Increase in
regulation
•
Digital Privacy
•
Verify process,
classification
•
Cyber threat
analysis
•
Apply
appropriate
measures
•
Adapt to my
situation
•
Adapt to my
environment
•
Ready for the
(I
1) Identity
(I
2) Infrastructure
• End Point • Server, Database • Machin, Sensor • Network(I
3) Information
Megatrends influencing your enterprise
Business Process of your enterprise
Where we currently are
on the crossroad to lose control over our digital data
Appropriate protection of digital data
Privacy
Cyber Security
Regulatory
Compliance
Your Enterprise @Applied
Regulation is increasing – incompliance is a big risk
GDPR (EU) has a maximum fine of 4% of global turnover
Regulatory requirements to consider:
•
Data Protection Law (CH/ EU GDPR)
•
Business Law (GeBüV / MwSt. ElDI-V)
•
FINMA (Financlial Services)
•
Industry Standards (eGov, eHealth, etc.)
•
PCI-DSS
•
Etc…
Strategy
Abgebildet in den Business Prozessen ihrer Firma
3. Mai 2016 SIGS Afterwork Event in Basel – Data Classification & DLP
Policy
Framework
Where are my ‘crown jewels’ along my
business processes?
•
Employee Data (standard, enhanced
protection, profile)
•
Client / Partner Identifiable Data
•
Vison
•
Mission
•
Values
The 80 – 20 rule – how to find the sensitive data?
«appropriate» means to understand the business impact on data loss
Business
Process
Data
Governance
IT & Security
Architecture
Information
•
Data classification policy
•
Data ownership
•
Risk management & appetite
•
IT applications
•
IT system & platforms
•
Network & Interfaces
•
At rest (end point, cloud)
•
In transit
I
3
Identity – Infrastructure – Information
Data analytics to detect incompliance and misuse
Identity
IT Infrastructure
Information
Identity & Access Management
•
User who wants to access
•
Device used to access
Hardware, Software, Platform,
Application and Network with eco
systems used to manage
Universe of enterprise data and lake
of security and management data
3. Mai 2016 SIGS Afterwork Event in Basel – Data Classification & DLP
Who
•
Person (Employee, Client,
Partner)
•
Role (User, Admin, etc.)
•
Device
How
•
Trusted / untrusted?
•
Person, Device / Application
Purpose
•
Is there a legitimate use case
behind?
Processed
At rest
In Transit
•
HW, SW,
•
Eco-System, Management
•
Interconnects components
•
Data security measures
•
Accountability (log files)
Approach: «Digital Trust & Compliance by design»
integrated in the business process – not amended
Guiding Principles:
1. Design a process in a way, that only permissible transactions are possible
2. Process steps include measures and enforcement of boundaries and collect meaningful data to monitor effectiveness
3. Data analytics and continuous auditing enable compliance relevant data is collected, processed and monitored
Process integrated Compliance
Data Analytics/BIG DATA
Data
Access Data Process Data Transaction DataTrust & Compliance
Measure
Measure Measure
Process
Step by step approach to protect enterprise data
appropriately:
3. Mai 2016 SIGS Afterwork Event in Basel – Data Classification & DLP
1.
Identify «Crown jewels» in your enterprise – in particular: Personally, Client
Identifiable Data, Intellectual Property
2.
Create and maintain an asset register to have a clear view what application /
platforms process and store PID / CID and who has access to that data
3.
Nominate a Data Owner responsible for classification and protection measures
according regulation and risk appetite
4.
Risk register of 10-15 cyber threat scenarios along 5-8 business processes
where sensitive data are processed
5.
Draft an overarching Security Architecture with coordinated security measures
operated by a motivated and skilled team
6.
Establish a SOC with: Monitoring, Event Management, Incident Management
Kontakte
PwC Zürich
Senior Manager
[email protected]
Tel. +41 58 792 47 85
Lorenz Neher
PwC Bern
Partner
[email protected]
Tel. +41 58 792 75 12
Reto Häni
Applied Digital Trust & Compliance erfordert das
Sammeln und Aufbereiten von relevanten Daten
Security, Privacy, Compliance
Information
(big data)
Digital Data
classified, separated
in trust-domains
ICT Infrastructure
on premise, outsourced
or in the cloud
User and devices
trusted? Compliant?
Compliance Layer 2:
Infrastructure and data access
Compliance Layer 1:
user and device identification
Compliance &
Security
Dashboard(s)
Strategy and
risk appetite
In
fr
a
st
ru
ct
u
re
, D
ev
ic
e, D
a
ta
Mg
m
t.
Requirements
& policies
Regulation &
Standards
@Compliance Layer 3:
Gateways and zone transitions
People, Processes, Technology
Co
m
p
li
a
n
ce
Mg
m
t.
Data
analytics
(SIEM, etc.)
Governance & Control Framework
3. Mai 2016 SIGS Afterwork Event in Basel – Data Classification & DLP
Was kann passieren, wenn ich meine Aufgabe als
Compliance Officer / CISO nicht wahrnehme?
3. Mai 2016 SIGS Afterwork Event in Basel – Data Classification & DLP
Personendaten klar unterscheiden und
angemessen schützen – Gesetz und Verordnung
Security Management und Daten Governance
3. Mai 2016 SIGS Afterwork Event in Basel – Data Classification & DLP