Iia 2012 Spring Conference Philly V Final

Emerging Technology Challenges and
Solutions for Internal Audit and Compliance

Danny Miller, CISA, CGEIT, CRISC, ITIL, QSA
Principal & National Solutions Leader
Cybersecurity & Privacy

© Grant Thornton. All rights reserved.

Topics

• Current Technology Landscape
• Emerging Technology
– Cloud computing
– Mobile computing
– Cybersecurity trends
• Key fundamentals of Cloud security
• Potential IA Complexities
• Solutions
• What’s Next?

Current Technology Landscape

• On-premise hardware, software, and management
• Support may be on-shore, near-shore or off-shore


Current Technology Landscape (continued)

• Localized processes and controls
• Prompt remediation when required
• Clear data ownership
• Straightforward compliance approach


Current Technology Landscape (continued)

• Challenges/benefits
– It's expensive and requires a lot of overhead
– Difficult to scale and react quickly
– Significant embedded cost structure
– Inflexible to meet business need
– Easier to maintain audit trail


Emerging Technology Trends

Spending on public IT cloud services will grow at more than five
times the rate of the IT industry in 2011-2012
Enterprise IT planners begin to include cloud-computing expertise in
some of their job searches to be prepared for the projects of the
short-term and mid-term future
Hosted private clouds will outnumber internal clouds 3:1…
But service providers have been incrementally ready.
Cloud management and monitoring will fuel enterprise cloud
adoption
32% of CIOs expected virtualization to be their top investment in
2011 - it is accelerating faster in 2012


Emerging Technology

• Cloud computing
– Saas, PaaS, IaaS, DaaS
• Mobile computing
– Mobile platforms that are blurring the line between a hand-held and
complex computing
• Data analytics
– Master Data Management
• Cybersecurity
– Trends


Emerging Technology Platforms (continued)

Types of Clouds Models of Cloud:
• Public • Software as a Service (SaaS)
- Shared computer resources - Software applications delivered
provided by an off-site third-party over the Internet
provider • Platform as a Service (PaaS)
• Private - Full or partial operating
- Dedicated computer resources system/development environment
provided by an off-site third-party delivered over the Internet
or use of Cloud technologies on a • Infrastructure as a Service
private internal network (IaaS)
• Hybrid - Computer infrastructure delivered
- Consisting of multiple public and over the Internet
private Clouds • Platform as a Service (PaaS)
- Virtualization of desktop systems
serving thin clients, delivered over
the Internet or a private Cloud


Public Cloud Private Cloud



Cloud computing – Hybrid cloud



• Mobile computing is:
– Wireless
– Utilizes tablet platforms and smartphones
– Internet-based
– Communication via 4G and WiFi
– Scaled applications


Potential New IA Complexity

• Cloud computing
– Availability & performance
– Business continuity
– Data protection
– Data encryption
– Privacy (especially in Healthcare & Life Sciences)


Potential New IA Complexity (continued)

Cloud computing (continued)
– Compliance
• FISMA
• HIPAA
• SOX
• PCI DSS (card payments)
• EU Data Protection Directive, et al.


Key Fundamentals of Cloud Security

• Focus on foundational controls that protects information and ensures availability. Is
the security on your cloud service at least as high as applications used internally?
• Match work processes to security needs (if the process is regulatory in nature, or
has high security need, then ensure security threshold meets that).
• When building or selecting a cloud service, ensure integration and usability are
considered in the enterprise. Because of the integrated nature of services these
days, need to consider
• Adopt a risk mitigation plan when adopting cloud technology. This would include
responses to risk events.
• Consider how storage with your organization's information is handled, including
backup, recovery and "immediate availability". There have been instances of
incorrect image recoveries. Make the decision on "co-mingled" data with other
clients of vendors.
• Ensure evaluations of security are performed and that they are robust. Never take
a vendor's word that they are audited and are secure on their own.

Key Fundamentals of Cloud Security (cont'd)

• Whether you are deploying or you are subscribing to a vendor, you should ensure
that intrusion prevention, monitoring, access and identity management are
adequate for the service.
• Consider strategic elements, such as the domicile of the data, Legal and e-
Discovery rules for your state
• What are your responsibilities in the event of a breach of your information?
• Ensure that there is a strong continuity program in place and that if you are a
subscriber to a service, that you include that in the BCP. Test at least annually.
• On at least an annual basis, revisit the security model on all cloud services.


Key Fundamentals of Cloud Security (cont'd)

Attribution: Cloud Security Alliance (CSA)

Potential New IA Complexity

Mobile computing
– Security (physical and virtual)
– Data ownership
– Service interruption and recovery
– Data archiving
– Availability


Potential New IA Complexity (continued)

Mobile computing
– WiFi/4G security
– Surveillance and access control
– Availability
– Data ownership and recovery
– Auditability
– Bluetooth “hijacking”
– AIDC


Solutions

Cloud computing
– Demand good security in the contract with provider
– Have a "return of data" plan at end of contract
– Know where the data is and who has access
– Deploy a layered security architecture
– Assess and inventory risks
– Conduct annual security policy audits
– Deploy and authenticate user credentials
– Encrypt all stored data (P2P encryption)
– Actively manage passwords and segregation of duties
– Implement layered firewalls

Solutions (continued)

Mobile computing
– Encrypt all WiFi access
– Clarify data ownership
– Classify information going across
– Implement service interruption plan
– Disable Bluetooth communications
– Deploy device-specific security software
– Encrypt all communications
– If it's lost or stolen, ensure that you can do a remote
"wipe" of information

What’s Next?

• Distributed computing (the Cloud)
• Cybersecurity & Privacy focus
• Virtualization
• Advanced IA tools
– Analytics
– Provenance engines
– Enhanced hardware firewalls
– Advanced encryption technology
– New data segregation and security standards
– Secure digital communications
• Standards such as ITIL, COBIT and PCI are integrating and are now
complimentary towards each other

What’s Next? (PCI Data Security Standards v2.0)


What’s Next? (Enterprise Master Data Management)

• Companies are awash in data, but which data is the
right data to use? Data grows by 50%+ each year.
• Company leadership needs "one version of the truth"
on dashboards, reports and in analytical datasets.
• Internal Audit and Compliance departments should be concerned
about controls, availability, integrity and quality of data.
• Conceptually:
– Data and information are valuable corporate assets
and should be treated as such
– Data must be managed carefully and should have
quality, integrity, security and availability addressed.



MDM is the management of an institution’s fundamental data that is shared
across multiple business units, everything from project budgets to donor
contacts to employee contact information. You can think of master data as
all of the enterprise data (people, places, things and activities) that the
institution needs to conduct its business.

The goal of MDM, consequently, is to ensure the accuracy, consistency
and availability of this data to the various business users.

We believe that all organizations would benefit greatly from creating a
strategy for MDM and implementing an MDM program in light of its current
state and an organization's future data and information needs.



Data and Information Management
Data Governance Data Architecture Management

Data Development Data Operations Management

Data Security Management Data Quality Management

Reference and Master Data Data Warehouse /Business
Management Intelligence Management

Document and Content Management Metadata Management
Table 1: Scope of Data Management


What’s Next? (Data Governance Activities)

• Establish institutional data standards
• Identify and resolve data disputes
• Implement necessary changes to data standards
and policies
• Communicate actions to the organization as
appropriate
• Ensure accountability of institutional data policies and
standards
• Escalate issues to Governance Team as necessary

Questions?


Emerging Technology Challenges
for Internal Audit and Compliance

Danny Miller, CISA, CGEIT, CRISC, ITIL,
QSA
National Solutions Lead – Cybersecurity
Regional Solutions Lead – Business Consulting
Principal, Grant Thornton LLP
Danny.Miller@us.gt.com
http://grantthornton.com/


Iia 2012 Spring Conference Philly V Final

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