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Risk is a result of human behaviour: Leveraging behavioural analytics to strengthen internal controls
Cyber Security: A Peer-Reviewed Journal,
4
(3),
202-212
(2021)
Abstract
Behavioural analytics is an area of data analytics that focuses on providing insight into the actions of people, (eg system configurations, data download, hiring, approvals) which if collected and analysed can help proactively identify the intentions of an insider who looks vulnerable and can pose a risk to the organisation. Behavioural analytics is used to identify opportunities that can manage risk and proactively identify and realise specific business outcomes.
Keywords: fraud; audit analytics; insider threat; threat agent; audit issues; internal audit; cyber risk; behavioural analytics
The full article is available to subscribers to the journal.
Author's Biography
Arvind Mehta currently works as a vice president and head of consulting where he partners with global compliance, privacy, risk and audit organisations from Fortune 500 organisations to advance the agenda of cyber security, privacy (CCPA, GDPR), emerging risks (cloud, data, third party), risk management and digital transformation. He has worked with large organisations to assess, implement and enhance cyber security strategy, framework, controls and tools required to improve the security posture of the organisation. Arvind is an avid writer and an industry speaker and regularly conducts sessions on emerging risks and trends such as digital transformation, cyber security, privacy, third party risk and risk management. Recent engagements include speaking at the IIA and ISACA Information Security Conference in New York on using behavioural science to enhance the cyber security posture. Arvind holds a Master’s in computer science as well as several industry certifications including Certified Ethical Hacker, Certified Information Systems Auditor, Certified Data Privacy Solutions Engineer and ISO Certified Lead Security Auditor.
