iia 2012 spring conference philly v final

Emerging Technology Challenges and Solutions for Internal Audit and Compliance

Danny Miller, CISA, CGEIT, CRISC, ITIL, QSAPrincipal & National Solutions LeaderCybersecurity & Privacy

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• Public

- Shared computer resources provided by an off-site third-party provider

• Private- Dedicated computer resources

provided by an off-site third-party or use of Cloud technologies on a private internal network

• Hybrid- Consisting of multiple public and

private Clouds

Models of Cloud:• Software as a Service (SaaS)

- Software applications delivered over the Internet

• Platform as a Service (PaaS)- Full or partial operating

system/development environment delivered over the Internet

• Infrastructure as a Service (IaaS)- Computer infrastructure delivered

over the Internet• 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.

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 Management

Data Warehouse /Business 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, QSANational Solutions Lead – CybersecurityRegional Solutions Lead – Business ConsultingPrincipal, Grant Thornton LLPDanny.Miller@us.gt.comhttp://grantthornton.com/

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