Annual Conference and Global Internal Audit Leadership Summit 2017 (27 Oct)

Managing Cyber Risks. (KPMG) Cybersecurity is one of the top 5 risks as rated by CAEs. Cyberattacks are one of the top 3 man-made risks which can be addressed. In a survey, Asian CEOs aren’t as well prepared as their US counterparts when dealing with cyber risks and cybersecurity. There is a need for cybersecurity risk assessment. Sometimes, insiders can provoke a cyberattack too. Due to the widening of the digital footprint, it can lead to greater cybersecurity threats. External threats like new technology, technology change, regulatory compliance and changing market forces will continue to affect the cyber landscape. The new cybersecurity bill by CSA is slated to be released in Feb 2018. The Bill will affect CIIs from 7 different industries. The cyber risk gap needs to be plugged through the use of specialist reviews and audits. Some of the losses that an organization could face are theft of client information, IP, corporate date, DOS attacks etc. Nowadays, it is quite common for the attacker to attack your service provider (since there are less strict internal controls) and get information from them about your company. Some of the staff from your vendor might not be well screened also. Usually, there is no point trying to figure out who the cyber-attacker is as it is hard to prosecute if it’s not in Singapore jurisdiction. Some of the tactics that cyber-attackers use is ransomware, key loggers, phishing, insider data theft and man in the middle attacks. Do not give away passwords at any cost. Training/education is important, more so that IT tools at times. As auditors, we can audit the data classification in an organization. Cybersecurity is a growing factor and needs to be included as a risk indicator. There needs to be a detailed response plan after being attacked. There is also a need to link the cybersecurity threats to your business. One can read the ISO27000 series, MAS TRM Guidelines, NIST, COBIT and others.

SAP Case Study. (SAP) SAP is a German company. Maintenance costs is a big part of the implementation costs of having such an ERP software. For SAP itself, some of the risks facing the organization are acquisition risks, cloud computing etc. Within the audit team, they use the SAP Audit Management Software, which is automated from the end to end auditing process. One will be able to see clear audit plan overviews and also real time status updates of the plan. There are also resource management tools in place which will help improve the global resource transparency. In addition, there are audit executive dashboards in use. All these lead to better cost savings, user satisfaction and faster audit cycles for the organization. As a result, during quality assessments, the IA function scores better. Analytics helps in audit sampling for auditors.

Internet of Things. (Microsoft) The Internet has shifted from the Internet of content to service to people and now to ‘Things’. Internet is very commonly used nowadays as it is more efficient and has led to increased productivity. It has brought the whole world together through Skype. There is data in chips in our everyday devices and such data can be harnessed for decision making. Some of the benefits of IoT are that it leads to 1) safety, comfort and efficiency; 2) faster decision making; 3) revenue generation. Some of the risks of IoT are 1) privacy, security and legal (types of data collected can be collected and should be collected etc). The major challenges that will be faced are to obtain the business and IT buy-in and also the fact that data magnitude can be huge and complex and hard to interpret. It is important for IA to stay ahead of the changes and understand the risks emanating from IoT. We need to be trusted advisers to the business. CAEs need to determine the skillsets required, like from data scientists, private specialists etc. IA needs to recruit the right people. We need to change our approach to how to audit etc. The process flow is like this: device connection -> data sensing -> communication (access rights) -> data analytics (queries etc) -> data value -> human value

Data Analytics at MAS. (MAS) Data is the new AIR that we breathe. Insight is the new storage of value also. There are a few Vs we need to be aware of: Veracity, Value etc. We have approached the other departments, like banking, insurance and capital markets, to understand what are the pain points of these departments. We have moved from rule based (AML + STR) to machine learning. There is a strong need to enforce data quality and to move from just big data to smart data. Labels must be given for supervised machine learning in order for it to work more efficiently. However, there is also such a thing as unsupervised machine learning etc. For data, there is a need to achieve generalisability. An important question to ask is whether your model can work on future data? Or just past data? Ensure that your data can be interpreted and cleaned before it can be used. The process is as follows: 1) know the question; 2) understand the data; 3) find the right algorithm; 4) be aware of the limitations; 5) be sceptical; 6) automate; 7) experiment. It is important to share insights across the different departments. Machine learning is a programme which automatically improve its performance through learning and experience. Culture is hard to change and in fact, culture is more important than the application of an algorithm.

Cybersecurity Lessons Learned. (SWIFT Asia Pacific) SWIFT is a co-operative that is based out of Belgium. Nowadays, cyberattacks are tailored for a particular institution and that can be really scary. Hackers are now able to perform multi-stage attacks. There is a hacker collaboration space in the dark web. Cross-border banking usually requires the use of SWIFT. Hackers have different motivations for committing crimes and it is difficult to predict. Cyber must be managed from the top-down. One needs to understand that spending money doesn’t make you more secure and there is a need to evaluate cost-benefit analysis. At times, it could be the client servers which have issues. There is a need to dictate how the client runs their programmes in order to secure their environment. There needs to be a cyber-response plan in place to address attacks and to recover. In future, SWIFT would make it compulsory for banks to report on their compliance to SWIFT’s assurance framework. This will certainly help to improve transparency.

Ethics in a Digital World. (Avande) Avanade is a cloud service provider and is a partnership between Accenture and Microsoft. In this digital age, there is a debate between Personalization vs Privacy. Facebook tried to have two bots chats with one another, but they turned racist and eventually had to be put down. Although AI development is swift, it might be necessary to put the guardrails on AI and curb its growth in view of ethical considerations. What is morally acceptable in today’s society? What is lawful? Digital is becoming a way of life and ethical behaviour is vital in this day and age. Is there a need for a framework to manage ethical dilemmas? What are the possibilities of digital tech? Core ethical values are embodied by leadership and there needs to be a good tone from the top.

IA in the Age of Transformation. (Asia Pacific Black Sun, Sofitel Singapore, UOB, NTUC, EDB) What are the elephants in the room? This refers to important issues that are not being addressed by IA. IA needs to keep themselves relevant. 43% of jobs in Singapore can eventually become automated (mechanized, robotized, digitalized) etc. However, there are still many opportunities in the audit space to add value. IA needs to be high tech, high touch (build strong relationships with management), and high trust. IA’s job is to highlight exceptions to management and in order to do so, they need to be loud and courageous in the boardroom and not shirk from difficult conversations. IA needs to avoid getting on the newspaper. IA needs to familiarize themselves in the area of sustainability reporting and professional scepticism. IA needs to constantly update themselves through attending training etc. Industrial domain knowledge is also important and this is usually learnt on-the-job. People retention is important and there could be a risk of knowledge loss without people. There is a need for IA to provide inputs on controls for IT projects right at the start. If there are no audit findings, it is possible for IA to issue a clean audit report. IA should gradually take on a more advisory role for the business.

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