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During a media event at Netskope’s SASE Week, Steve Riley, the discussion moderator and field chief technology officer for Netskope, asked, “What’s the driving force for SASE? Why now? What’s changed?” How secure access services edge security will transform networks During a media event at Netskope’s SASE Week , Steve Riley, the discussion moderator and field chief technology officer for Netskope , asked, “What’s the driving force for SASE? Why now? What’s changed?” The short take is that we are in the midst of a digital transformation, with a stronger reliance on mobile and cloud computing than ever before, according to various attendees, and we need to implement secure access services edge (SASE) now to properly address data security and networking issues that are quickly approaching. Jason Clark, chief strategy officer at Netskope, said that business has been moving to a cloud-based framework and that cloud adoption has been accelerated by the pandemic. “Data is now sitting on a CPU that you don’t own or control because it’s on the cloud, and it’s being transmitted on a network — or the internet — that you don’t own, and the users are off the network. The security teams are being stretched by this,” he said. Clark stresses that moving to SASE means “a repositioning of security to consolidate to one new security inspection point. It’s a smart reset.” When Ed Amoroso, founder, and CEO of cybersecurity consultancy TAG Cyber , was asked why he was advocating for a move to SASE, he used an easy-to-visualize model. “Hub and spoke networks consolidated and brought everything to the datacenter. Now data is scattered among apps, cloud, and different work clouds so the hub and spoke doesn’t make any sense anymore,” he said. “By conceptualizing what you need in your mind, you start putting together SASE. We’re at a time when people need different networks that can be controlled from the cloud. Anyone listening can self-generate that SASE is required just by thinking about how we use networks today.” Meeting network engineers’ needs After, Riley poised two thought-provoking questions — “If everything is on the cloud, is there a network to manage?” and “If there is no datacenter, are there now many centers of data?” — George Gerchow, chief security officer at Sumo Logic , led a discussion on the importance of focusing on data security and encryption. Gerchow stressed repeatedly the need for collaboration with control, saying, “You have to have availability, but that availability has to have seamless security. Availability matters because people have to use their services, but if you don’t have security to go with it, good luck, because it can be over in an instant.” Clark suggested that there are two avenues in building a SASE framework: “If it’s security-led, then it’s about the data. Sometimes it’s network-led, and for networking, [then] it’s about access.” Supporting the idea of a network-led framework, Amoroso said, “Many things that have nothing to do with security are an important part of the architecture.” He pointed out that he has a stack of laptops that he still uses for each company with whom he consults because that’s the only way to access his corporate clients’ perimeter. The reality is that network engineers are probably busier than they’ve ever been, and SASE can bring about needed improvements to network access. Zero trust is adaptive trust Introducing the topic of zero trust elicited some laughter from panelists. They all proceeded to comment on the buzzword aspect of the phrase, despite much misunderstanding about what it really is. Clark summarized by saying, “It’s a framework that needs to be embedded in how we operate. It’s not binary. Trust is not on or off. Zero trust has a zero to five scale in my mind.” Riley added, “Zero is the starting point, but ultimately you’ll have to extend some level of trust in order for some level of interactivity to occur.” He followed that up by suggesting that the term “adaptive trust” would be more accurate, which was met with panel agreement. Clark described a zero-trust relationship as allowing its users to “give the least amount of access as possible, as much as possible, so that bad things can’t happen.” Gerchow added that zero trust is a fabric of many things, and that it entails working closely with vendors and partners to stop anything that isn’t supposed to happen. The great SASE migration Overall, the panel seemed to largely focus on a key question, “How do we convince the C-Suite?” Panelists agreed that SASE is the future of data security and secure access, but disagreed on how long it will take for a cloud adoption tipping point moment. Clark brought up the importance of the shared responsibility model, where you can control what user has access to, as well as what data is included. He said that a company should have its own standard for considering third-party risk before granting any outside agency access to its cloud-based framework. It was Amoroso who summarized the task of transitioning to SASE best. “It’s like if you have a new house, and you move your messy garage one piece at a time into the new garage, but you want to keep it organized as you go,” he explained. “The data that needs to move to the cloud is scattered. There are companies dealing with lost data. I think it’ll all eventually get to the cloud, but moving it is complicated.” by Corinna Makris , 06.11.21 Source: www.venturebeat.com

Can larger firms face and survive the challenge of startups? The one question that comes to mind these days is whether they are still capable of fostering innovation. Many large companies try to adapt to this new challenging environment by behaving like startups, which, as the researchers point out, is not the key to successful innovation for incumbent firms. BIG DATA AND THE LEAN STARTUP APPROACH AS TOOLS FOR INNOVATION IN LARGE FIRMS Can larger firms face and survive the challenge of startups? The one question that comes to mind these days is whether they are still capable of fostering innovation. Many large companies try to adapt to this new challenging environment by behaving like startups, which, as the researchers point out, is not the key to successful innovation for incumbent firms. Adapt or… Die Trying Previous research shows that incumbent firms find it difficult to adapt their business models (and thus their strategy) for various reasons including the complexity of the organization, a focus on short-term rather than long-term gains, and competition for resources among managers. Large companies often suffer from innovation blindness caused by the very fact that they hold onto outdated models and assumptions on how the world works. This difficulty in changing the business model makes it extremely challenging for firms to respond to the new forms of competition brought forth by startups. While changing the business model is often necessary, if not vital, there are no clear best practices and many firms have followed the route of trying to behave like a startup. This approach, however, is doomed to fail as it does not recognize the fundamental differences between the two types of organizations in areas such as resources, speed of decision-making, focus etc. Adapt. Do not adopt! There has been research encouraging large companies to adopt the lean startup methodology[1] for product innovation, suggesting that in this way, legacy companies would be able to quickly adjust and adapt the business model to create and appropriate the most value. But while a startup is by definition “an organization formed to search for a repeatable and scalable business model”, a legacy firm already has a business model. Therefore, to be economically competitive, incumbent firms need to be ambidextrous. In other words, they should be able to execute in present markets while innovating for new ones. According to Steven Seggie and his peers, incumbent firms should leverage advantages such as big data and adapt (not adopt) the lean startup methodology. Let us not forget that big firms have clear advantages in big data both through the amount that is available to them and also through the resources they have to analyze the data and act upon the results of the analysis. It is not the Size of Your Data that Matters but What You Do with it The real question then is: “How should firms leverage big data and adapt the lean startup methodology as a means of changing the business model to allow for successful innovation and successful competition with startups?” Traditionally, big data analysts have talked about the 3Vs of big data: volume, variety, and velocity.Each of these characteristics creates a learning challenge, which can then be addressed through use of parts of the lean startup methodology. Volume Volume refers to the increasing amount of data that is available. This volume leads to confirmation bias as a greater amount of data provides opportunities to confirm prior beliefs that inform decision-making. The solution provided by the lean startup methodology is to use the analysis of big data not to reach conclusions but instead to develop hypotheses, which can subsequently be tested through experimentation. Variety Variety means that firms have access to data from very different sources that were not available in the past. Although variety is seen as a good thing, it leads to an increased complexity of both the data and analysis, thus making it difficult to communicate insights for decision-making. The lean startup methodology suggests the introduction of a concept called innovation accounting[2]. It requires regular reporting on the progress of an innovation project with a decision to quit, persevere with, or pivot. The advantage is that it facilitates the access to insights throughout the process. Velocity Velocity refers to the fact that firms are getting real-time data. The richness and timeliness of the data suggest an increased ability to predict the future, and thus creates an illusion of control. The solution offered by the lean startup methodology is to include a build-measure-learn loop into the innovation process as this allows firms to engage in validated learning on an incremental basis. The risk is minimized, as all innovations are incremental in nature. So even if managers have the illusion of control, they will not be able to take large risks that may come back to haunt them in case of unexpected occurrences. Let Us Call a Spade a Spade With unprecedented amounts of Venture Capital money being invested in startups, incumbent firms are under greater pressure than ever before to maintain their status as leaders in their fields. Some of them have adopted, recklessly, the lean startup methodology with generally disastrous results. In sum, a startup is not a small version of a legacy company, neither is a legacy company just a large version of a startup. Therefore, incumbent firms should adapt the lean startup methodology instead of adopting it as it is. Firms should leverage the resource advantages they have regarding big data and combine these advantages with the adapted lean startup methodology to enable large companies to adjust their business models to allow for successful innovation. −−− [1] The lean startup methodology is a quick and iterative process that requires minimal resources compared to more traditional models of innovation (Blank, S. (2013). Why the lean startup changes everything. Harvard Business Review May, 4–9.) [2] A measurement process used to evaluate innovation throughout the innovation process by Steven Seggie , 04.10.21 Source : Knowledge Lab Essec

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Library WHY CYBER RISK ASSESSMENTS SHOULD BE A PART OF YOUR BUSINESS STRATEGY Every day brings with it the news of yet another company falling victim to a cyberattack. The costs the affected businesses face are enormous: lost critical data, stolen assets and damaged reputations... HOW SECURE ACCESS SERVICES EDGE SECURITY WILL TRANSFORM NETWORKS During a media event at Netskope’s SASE Week, Steve Riley, the discussion moderator and field chief technology officer for Netskope, asked, “What’s the driving force for SASE? Why now? What’s changed?”... THE ROLE OF VENTURE CAPITAL SECURITIES IN ENTREPRENEURSHIP For entrepreneurs to flourish, they need funding: venture capital is financial capital provided to early-stage, high-potential, high-risk, growing entrepreneurial companies. Venture capital is particularly attractive for... CYBERSECURITY 2023: CLOUD SECURITY IS KEY ISSUE FOR COMPANIES What challenges do companies currently face regarding security? What is their cybersecurity strategy for the future? And what role does digital sovereignty play in this?... Coming soon...

How can organizations do good (help the environment) while doing well (boosting economic growth)? While both worthy goals, they can be at odds with each other, creating a dilemma for organizations who wish to both contribute to environmental sustainability while maintaining economic growth.  DOING GOOD WHILE DOING WELL: THE CASE OF BUSINESS IT INITIATIVES How can organizations do good (help the environment) while doing well (boosting economic growth)? While both worthy goals, they can be at odds with each other, creating a dilemma for organizations who wish to both contribute to environmental sustainability while maintaining economic growth. All that glitters is not green Information technology (IT) is a major driver of economic and social development, but such advancement comes at a high environmental cost. Organizations’ reliance on IT has led to increased computing power and the development of large data centers that provide analytics and cloud computing services. These result in increased energy consumption, higher carbon emissions, and more electronic waste. This has led to the development of green IT initiatives to address the environmental consequences, meaning IT products and services that reduce the negative impact and improve sustainability. The existing research supports the idea that launching green IT efforts can improve sustainability outcomes, for example by managing energy consumption. Other examples of green IT initiatives include powering data centers with renewable energy sources, reducing waste from out-of-date computing equipment, and encouraging telecommuting/remote administration for reduced transportation-related emissions. There are a number of ways to go about a green IT initiative, but they all require a concerted effort from staff and involving IT processes and IT products. This is likely to be a significant technological trend with wide-reaching social implications. However, all that glitters is not green, and implementing green IT measures comes with complications such as disruption to existing systems, unpredictable returns and market demand, cost, and how stakeholders will react. This leads to the dilemma between doing good while doing well: while companies may wish to do good by implementing green IT initiatives, they may have legitimate concerns about how this will affect their bottom line (doing well). Indeed, much of the research has focused on the sustainability implications and less on the economic ones. This dilemma led the researchers to examine the drivers that impact an organization’s motivation to adopt green IT initiatives and their link to this reconciliation between sustainability and profit. What drives this process? To explore this question, the researchers conducted a qualitative study on eight organizations in China and Singapore, as it is crucial to explore how green IT implementation plays out in the real world as opposed to an experimental setting. The companies operated in telecommunications and IT-related industries. All eight were large companies with over 3000 employees, and all eight were pioneers of green technology. The research team used a multi-prong data collection approach, conducting interviews and clarifying information via emails and phone calls, field observations, and archival data. They looked at both internal and external drivers, separating them into three categories: competitiveness, legitimation, and ecological responsibility. Internal drivers, or organizational drivers, include factors like stakeholders’ attitudes, economic considerations, and technology skills. External drivers include factors like policy and industry pressures, like regulations on waste disposal and energy consumption. Breaking it down further, competitiveness is the link between ecological actions and long-term profitability; legitimation is the organization’s drive to align its actions within a certain set of norms or regulations; and ecological responsibility refers to an organization’s thoughts about its duty to society and its values. Looking at the results, the researchers found that green IT practices were seen as essential strategic considerations for these companies. They also found that organizations did not always manage to reconcile the gap between sustainability and profit through meeting the objectives of competitiveness, legitimation, and ecological responsibility. For companies that noted a significant amount of government pressure, an external driver, only a middling level of reconciliation was achieved. Organizations tended to have one main driver, like government pressure for Chinese companies and corporate social responsibility for the Singaporean companies, but were also motivated by the other drivers. Overall, the organizations tended to be most motivated by cost reduction, market drivers, government pressure, and corporate social responsibility. For reconciliation of sustainability and profit, the researchers found that the time frame matters: while IT initiatives tend to require a short-term investment, they will bring long-term benefits that surpass the initial investment. The strategy deployed also plays a role: one company invested in hybrid cloud computing, which set them apart from the competition, which will ultimately improve profits. Having a green image is also a competitive advantage, as it can boost customer satisfaction. Additionally, the dilemma becomes less of an issue in cases where companies experience external pressure, like from the government or external stakeholders. If going green is essential for market success, the financial investments become less of a consideration and more of a requirement. This shows that the dilemma can play out in different ways, and it is important to consider how both internal and external factors will impact the implementation of a green IT strategy. Takeaways IT services are ubiquitous in business and management, meaning that organizations and managers need to prioritize the implementation of green IT. Organizations may have different motivations for doing so, motivations that may fall into the categories of competitiveness (economic pressure), legitimation (shifting norms) or ecological responsibility (doing the right thing). These categories can include both external and internal factors. In practice, this highlights two main ways to motivate companies to implement green IT practices: A combination of pressure from the government and corporate social responsibility obligations Aligning green IT measures with the goal of improving profits by satisfying market demand and reducing operating costs The researchers note that the latter is more sustainable, but that the former may be able to stimulate progress by implementing incentives (tax breaks) or punishments (high energy costs). The climate crisis is increasingly urgent, and helping the environment requires an “all-hands on deck” approach. With soaring IT needs and their accompanying environmental consequences, green IT processes are likely to be a trend that won’t go away any time soon. With this research, we gain a better understanding of what motivates organizations to take on green IT initiatives and how they can reconcile “doing good” with “doing well”, enriching our understanding of the drivers of business IT initiatives, an understanding that can help organizations seeking to take such initiatives themselves. Further reading Yang, X., Li, Y., & Kang, L. (2020). Reconciling “doing good” and “doing well” in organizations’ green IT initiatives: A multi-case analysis. International Journal of Information Management, 51, 102052. by Yan Li , 17.05.21 Source : Knowledge Lab Essec