The tone of the top should drive risk-aware cultures. Top management should ensure that strategies, business models, and processes are looked at collectively through the lens of risk management and that buy-in is accomplished across all levels. For this to happen, the one thing that organisations should consciously avoid is people working in silos. Risk management is not a standalone function but a collaborative effort to ensure the enterprise is risk-mature and resilient. Well-thought-out training programs with case studies of success and failures should be showcased for the entire team to understand risk exposures and impact. Training should be an ongoing process because what worked well historically may not continue to be relevant in the dynamic business environments that we are in. Adaptability and agility are key transformative cultures to be ensured by top management. While strategies and processes flow from the top, the bottom-up feedback loop is equally important to understand the practical aspects at the trenches of processes.

It is important to note that more than ever, data breaches are targeting insurance in healthcare and government, but the same data is being used in other industries. This emerging trend in auto fraud can be attributed to the appeal of high credit limits and the ease of securing online auto loans without having to visit dealerships in person. At the same time, the practice of credit washing by a few credit repair companies is prevalent. Credit washing involves systematically disputing all negative tradelines on a credit report not as reporting errors but as outright identity theft.  ... Not all fraudulent activities in the auto lending industry involve complex schemes such as synthetic identity fraud. Often, borrowers inflate their income or misrepresent their financial status to enhance their chances of securing a loan. Fraudsters also use shell companies to create false employment verifications. The report identifies over 11,000 fake companies circulating within the industry. Although seemingly harmless, 40% of loans secured with a fake employer result in charge-offs by borrowers who never intended to repay.

The terms simulation and Digital twin are often used interchangeably, but they are different things. A simulation is designed with a CAD system or similar platform, and can be put through its simulated paces, but may not have a one-to-one analog with a real physical object. A digital twin, by contrast, is built out of input from IoT sensors on real equipment, which means it replicates a real-world system and changes with that system over time. ... Just as digital twins serve different purposes in different industries, the value of digital twins differs depending on the application. In the world of manufacturing, for example, a digital twin can enable product designers to try out prototypes before settling on a final design. It’s a way to use digital resources to develop and refine products instead of tapping physical engineering resources. With a digital replica of a product that simulates the real thing in a virtual space, designers can rapidly generate new iterations, optimize their product designs, and improve product quality along the way. In the semiconductor industry, digital twins can exist in the cloud and replace physical research models.

Over the years of existence, legacy apps accumulate not only technical debt but also interest, which significantly complicates code optimization in the future: the more the application is used, the more updates it has, and the more technical debt it eventually accumulates. AI-powered assistance makes refactoring much easier, helping to identify code duplicating, extra memory, or other resource usage. To level up app performance AI can offer code quality enhancements, unit test case generation, or in some cases refactoring parts of monolithic code into composable. ... Most legacy applications cannot compete with modern ones due to complex, unclear, or confusing architecture that requires additional efforts for the latest integrations and maintenance. AI-powered analyzing tools can explore existing architecture, identify pitfalls and weaknesses, and suggest possible solutions. They can include moving to reliable and cost-efficient cloud-based storage, transit to microservices, or replacing outdated components. ...  Generative AI identifies bottlenecks and offers a proper solution to handle high workloads. There can be new configurations for load balancers and algorithms to optimize traffic distribution.

The full details of the exposed UK armed forces data have yet to be made public, but in addition to triggering an investigation the third party breach also prompted the Ministry of Defence to announce an “eight point plan” to identify security failings and prevent such incidents from happening again. The Ministry did indicate that there was “evidence of potential failings” at SSCL that the hackers took advantage of, but did not elaborate on whether that means an unpatched vulnerability or an employee falling for a phishing approach. It is also not yet clear what the Chinese government would want with UK armed forces payroll data. For the most part these APT groups stick to espionage and theft of beneficial corporate secrets, but generally stop short of taking money or running financial scams. Some of the Chinese APT groups are private sector contractors, however, and several have been observed targeting crypto or other funds seemingly as a side activity for their own benefit. Tom Lysemose Hansen, CTO of Promon, elaborates on what this stolen data might be used for: “Nothing and nobody is unhackable, that’s the lesson from this. 

AI demands even greater computing capacity, higher-capacity data centers, and more energy than legacy applications, all of which lead to greater environmental impacts. Yet, amidst these challenges, there is hope. There is a strong and growing emphasis on standards and consumer preferences for companies that embrace Sustainability. By uniting sustainability and the new high-density AI applications, we can pave the way for data center innovation with construction and operational breakthroughs. This approach embraces AI's higher demands and promotes sustainability, offering a promising path forward. Historically, sustainability efforts were a corporate nod to investors and a small faction of society that prioritized these ideas. As time has passed, sustainability has become a critical planning factor, integrating sustainability, finance, and business strategy. Part of the growing sustainability movement is due to impending rules and regulations; part is from societal pressure from those who put their dollars where their ecological priorities lie. Furthermore, part is corporate awareness that businesses must consider climate change in their business strategies, and part, we must believe, is genuinely altruistic.