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July 17, 2026
6 min read

Third-Party Exit Planning: Prepare for the Worst, Plan for Control

Exit planning has become a critical element of the third-party risk management lifecycle as organisations contend with a rapidly evolving threat landscape and increasingly disruptive events. Protiviti’s 2026 Executive Perspectives on Top Risks and Opportunities survey ranks third-party risk as the second-highest near-term global risk.
Businesses are excited about the transformative potential of artificial intelligence (AI) to innovate and enhance business models, customer insights, products, and processes. Alongside this potential, there is a growing need to identify and mitigate risk associated with AI technologies. CIOs, in particular, are exploring how to ensure the responsible design and use of AI and their roles in managing legal, regulatory…
The emergence of generative AI (GenAI) promises transformative impacts across all areas of an organisation, including enterprise architecture. Since generative AI debuted in the public spotlight with ChatGPT in November 2022, organisations are eagerly exploring use cases on how this technology can enhance employee productivity and drive revenue growth. 
As the wheel of digital transformation continues to turn, it brings with it profound changes across a myriad of industries. Perhaps none so much as in the finance function, which finds itself on the cusp of a new era defined by artificial intelligence (AI)-driven efficiency tools.
Adapting new technologies to manufacturing applications and processes is often a challenge – and, particularly with AI, there is no easy button to push.
The U.K. Online Safety Act (OSA) is part of a suite of new online-safety and consumer-protection regulations aimed at safeguarding users from harmful content on digital platforms. Its implementation is planned in three phases from 2025 to 2026.
Technology audit functions are navigating a dynamic business landscape that is being shaped continually by exponential growth in technologies like generative AI and the concurrent emergence of new security, privacy and data-related challenges.
As a leader about to undertake an ERP transformation, it is important to remember that these projects rarely go as planned. Like a house remodel, there will be hidden costs to be addressed throughout the implementation.  Whether it be that design tastes (requirements) change, the costs unexpectedly increase or an unexpected labor shortage that increases the timeline, it is important to learn from the…
From personal digital assistants to autonomous vehicles, artificial intelligence (AI) is revolutionising how we interact with technology and each other. Amidst this landscape, Microsoft Copilot and Open AI’s ChatGPT stand at the forefront, harnessing transformative technologies such as Generative Pretrained Transformers (GPT) and Large Language Models (LLM). 
In today’s fast-paced digital landscape, DevOps practices have revolutionised software development and deployment, allowing organisations in Singapore and globally to achieve greater efficiency and agility. As DevOps teams embrace cloud-based infrastructures like Amazon Web Services (AWS), security must remain a paramount concern. Ensuring the security of a DevOps environment in the AWS cloud demands a proactive and…
When approaching an ERP implementation, the topic of security is going to be broached and the question then becomes, “now or later?” Before discussing the considerations for implementing security before or after an ERP implementation, it is important to review the purpose of creating a custom security model. For most companies, creating compliant custom security is a requirement. 
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