Today we are going to discuss a handful of companies who are doing an exceptional job at finding new uses for Digital Twin technology and how they are incorporating it to improve their work environment, business growth, and overall fulfillment processes. Because of the ever-increasing popularity of Digital Twin, some companies are already starting to put a heavy focus on its development, implementation, and compatibility. However, we cannot ignore the fact that the overwhelming uses and benefits of the new technology are being discussed and talked about across industries. Overall, this empowers the business to reduce risks to an acceptable level across all key processes.Digital Twin technology is yet to be adopted by the majority of businesses and companies in the world. Once we know which risks to target first, we can identify process vulnerabilities. Then we predict how damaging an attack will be at every level – from individual processes to operational performance. We combine these insights with in-depth knowledge of an industrial plant’s processes.
At every step, we can highlight how skilled an attacker needs to be to move forward and analyze the harm they could do. Then, unlike most attack graphs (which can’t do this), we can drill into underlying processes. These show how an attacker is most likely to move from entry point to target. So why are intelligent cyber digital twins so powerful here? Crucially, they allow us to simulate risks in a virtual environment that precisely mirrors their real-world business impacts (see graphic below). Our approach can accommodate these, whatever they are, predicting risks to specific processes and recommending actions. Of course, every organization has its own risk parameters. We linked risk per process, on the left, to the most critical business assets, on the right. Using data from a pulp and paper mill, we automatically identify risks to the plant’s key processes and prioritize which to address first. We used a unique approach to overcome these challenges with a real-time, evidence-based way to predict cyber-risk. And they can’t prioritize risks according to business impact. They also rely on expensive – and scarce – expertise. The problem? These approaches make it hard to keep up in such a fast-changing threat landscape. And second, through periodic risk assessments using multiple data sources like questionnaires and threat intelligence tools. First, using systems to discover and mitigate active cyber threats. Up to now, businesses have approached this challenge in two ways. So although connectivity has transformed modern factory floors, it’s also making them more vulnerable. The impact? A much wider range of new cyber-attack surfaces. But now they’re connected to the business’s network as well as the open internet. That’s because they were separated from a company’s infrastructure. Self-contained OT networks were relatively easy to protect. But now, thanks to IoT, 5G and smart manufacturing, risks have risen. Security has always been critical for industrial manufacturing. Using Accenture’s cyber digital twin platform (CyTwin) and real-world manufacturing data, we predicted cyber risks for key industrial processes – and recommended the best way to mitigate them. Working with OTORIO, an expert in operational technology (OT) cybersecurity, we’ve proved its value. One application can help protect industrial facilities from cyberattacks. As part of Accenture’s Technology Vision 2021, the “ Mirrored World” trend highlights how intelligent digital twins can unlock enterprise value.ĪI technology can make these digital models of physical objects, systems or processes “intelligent.” That allows businesses to explore “what if” scenarios or make predictions based on real-time data.
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