Five Mistakes to Avoid When Deploying Emerging Technology

When I finished my proof-of-concept presentation to the CIO of a prospective client at a recent meeting, he was more than surprised – he was upset. He almost yelled at me: “How did you do it?”

For my demo, my client had to complete a paper application form used by his company’s sales force. He needed to do this by hand, as would any customer, but using a digital pen equipped not only with an ordinary ink cartridge, but also with a micro-camera that captured each trace of the pen on the paper. When he had finished the application, he checked one box at the end of it that read “Transmit.” While explaining the features of the digital pen, I opened my laptop and remotely connected to our demo server. From there, just a few seconds after he had completed the application, I could show to him not only a high-quality scan of the completed application, but also all the data already translated into usable fields: numbers, dates, addresses, ready for ERP integration. He stood up in astonishment and asked: “How did you do it? How??”

This appears to be a nice example of a presentation that went so well that I took my audience completely by surprise with an emerging, unexpectedly beautiful technology. But the truth is, less than two years after launching our work with digital writing, we had to completely write off two years of work and investment put in an offering that appeared to be “The Next Big Thing.”

Talking about our digital transformation successes is always nice, but I would like to share these five innovation facts that, from my experience, should be understood to avoid failing in this era where all of us are at the brink of launching The Next Big Thing, whether on top of blockchain or IoT or AI or machine learning technologies.

1. “Innovation Chasm” does exist. I am sure that many of you have seen the Technology Adoption Lifecycle graph that describes the Innovators, Early Adopters, etc. Well, in that graph, there is a chasm between being loved by technology fans and getting a growing majority of users that will make your product the next iPhone. In the case I described, we could not convince owners of the intellectual property in a timely fashion to simplify the pricing model to accelerate the creation of a minimum user base. Check your business model for scenarios where the chasm is bigger than anticipated.

2. Platforms and ecosystems matter. The possibilities of emerging technologies are immense but decisions need to be made in relation to the platform or ecosystem you want to belong to or create for others. No one cares for a solution that cannot integrate and evolve for future needs. Our digital writing offering did use industry standards like XML or GMS but relied heavily on proprietary technology within the core product.

3. The “Innovator’s Dilemma” is real. Professor Clayton Christensen has said that companies are designed for the status quo and innovation efforts are killed by design. This is, although companies may not say it, they do not really want to disrupt themselves. So, your presentation to whoever approves your innovation effort needs to avoid a collision trajectory and rather explain the complementary nature of business and customer bases that you are bringing to the table.

4. Being a maverick is cool, but … In the end, a successful launch of an emerging technology needs to be on good terms with the leading powers that will put your product in front of users. It needs to integrate seamlessly with dominant social platforms as well as with online and app stores, and be designed to quickly open its features to the newcomers that will play a dominant role in your marketplace. That is why you see such collaboration among companies that otherwise would be rivals to create the future ecosystems for blockchain, machine learning, etc.

5. ITBMS! I have a blog post called It’s the Business Model, Stupid. We have seen for several years that, in the end, all successful technology companies have managed to build a credible business model that will turn around years of losses (sorry, capital investments) by creating value for an ever-growing number of users. So, be bold in pursuing your dreams for a better world, but keep close your friends that can make sense of it in terms of a sustainable, long-term business model.

Author’s note: Jose Angel Arias has started and led several technology and business consulting companies over his 30-year career. In addition to having been an angel investor himself, as head of Grupo Consult, he participated in TechBA’s business acceleration programs in Austin and Madrid. He transitioned his career to lead the Global Innovation Group in Softtek for four years. He is currently technology audit director with a global financial services company. He has been a member of ISACA and a Certified Information Systems Auditor (CISA) since 2003.

Jose Angel Arias, CISA, Technology Audit Director

[ISACA Now Blog]

Cisco Certified Design Expert (CCDE) – Vietnamese Walk of Fame

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Cybersecurity and Human Factors: Why Cybersecurity Is a Human Issue Rather Than a Technical Problem

I recently had a discussion with Japanese business executives on cybersecurity challenges during which one of them asked me about the biggest difference between Japan and other countries regarding their approach to cybersecurity. I answered, “Each country and sector are different; but if I compare Japan and the United States, the Japanese tend to think cybersecurity is a technical problem, whereas the Americans tend to believe cybersecurity is a human issue, based on previous interactions and feedback from my peers and industry experts in the United States.”

This answer surprised him and brought home the point that cybersecurity touches upon various aspects of human nature and activities, rather than just technical problems. Only humans can do the cybersecurity risk assessment and management because this requires decision-making and resource allocation. People are essential for solving challenges around cybersecurity.

The IBM Security Services 2014 – Cyber Security Intelligence Index shows that more than 95 percent of the cyber incidents that IBM investigated occurred due to human errors, such as system misconfiguration and poor patch management. People are the weakest link in cybersecurity because every single person makes mistakes. That is why social engineering works to trick people into doing something they are not supposed to do, and employers encourage their employees not to open suspicious attachments or click URLs from unsolicited senders.

Of course, cybersecurity includes technical elements. Technology is crucial to address cybersecurity challenges because offerings like firewalls and endpoint protection are needed to prevent malicious actors from achieving their goals by cyber means. Technical knowledge is required to innovate, choose and use those products, as well as to analyze malware.

However, it is equally important to analyze and understand human factors behind cyberattacks and risks because these are the biggest trigger of cybersecurity incidents. Since today’s business environment cannot survive without IT, both IT and cybersecurity should be regarded as business enablers rather than cost centers. That is why the Japanese Ministry of Economy, Trade and Industry (METI) and Information-Technology Promotion Agency (IPA) pointed out in their Cybersecurity Guidelines for Business Leadership Ver 1.1 in December 2016, cyberattacks are an unavoidable business risk in today’s business environment, where IT is part of the infrastructure.

To manage risks, acceptance, avoidance, mitigation, or transfer is needed. If a cybersecurity risk is low or moderate, an organization can decide to accept and not take any cybersecurity action to mitigate it. If a potential cybersecurity risk seems to be unacceptable, the organization may decide to take an action to eliminate the basis of the risk, such as a specific activity or technology. If the organization has resources to shift risk liabilities and responsibilities to the others, who have better expertise, the organization can transfer the risk, such as cyber insurance. If the risk is not acceptable, avoidable, or transferrable, the organization should take cybersecurity approaches to reduce the risk, such as authentication, encryption, or firewall installation.

Investment in risk management is also needed. Yet, information technology (IT) was introduced to business operations mainly to cut costs. Because cybersecurity has traditionally been considered part of IT, it is challenging for companies to realize that it is an area to invest in as a business enabler.

In fact, IPA’s Survey of cyber risk management in companies in 2015 in June 2015 showed that less than 50 percent of even major Japanese companies assess their business risks. Only 49.2 percent of the business leadership of even major companies (their annual sales being over 1 billion yen) answered that they do business risk assessment. The ratio is 28.2 percent at medium-sized companies (their annual sales being between 100 million and 1 billion yen) and 14.9 percent at small companies (their annual sales being under 100 million yen).

Japanese companies are behind American and European companies in this regard. According to IPA’s survey about Chief Information Officers (CIO) and Chief Information Security Officers (CISO) in companies in 2017, 34.6 percent of Japanese companies said that risk visualization is challenging or insufficient. The ratio is higher in Japanese companies than in American (32.4%) or European companies (27.9%). Unless business risks are assessed or visualized, it is impossible for business leadership to determine how much in the way of resources to invest in to accept, avoid, mitigate, or transfer each of their business risks. Resources that are limited in quantity will be wasted.

An Indian folk tale about six blind men and an elephant is applicable to cybersecurity and business risk management. The six men touched different parts of an elephant and pictured the elephant is like a wall, snake, spear, huge fan, cow, or rope. None of them obtained a whole picture of the huge animal because they did not have complete information about it. Luckily, the animal they were touching was a gentle elephant. Were it a lion, touching would not have been a good idea.

What actions, then, should business executives, especially in Japan, take now?

  • Review your business risks and understand what kinds of risks your organization currently faces.
  • Talk to your CISO and his or her team to share cyber risk findings and decide on which actions to take, whether from the stance of acceptance, avoidance, mitigation, or transfer.
  • Prioritize business risks that require immediate action to avoid, transfer, or mitigate them and decide on how much in the way of resources should be spent on each risk.
  • Since C-suites need to balance between usability, security, and budgets, consider applying automation, such as defense and the integration of cyberthreat intelligence, to maximize efficiency and effectiveness.
  • Review your business strategy and revise it to reflect the cyber risk findings to maximize business value for your organization, customers, and partners.

It is indispensable to have a whole picture of business risks to optimize the use of limited resources to manage them. Every organization needs to have good decision-making on business risk management, and only people can do it. This step is a great opportunity to increase your business value.

[Palo Alto Networks Research Center]

Enterprise Leaders Should Steer Organizations on Path to Digital Transformation

Employees are at their best when they are encouraged to take calculated risks, rather than becoming complacent with what they know and what has become comfortable. The same holds true for enterprises.

Some of the best risks enterprises can take in our technology-driven business landscape involve deploying transformative technologies that allow them to connect with customers in new and innovative ways. Yet, in many cases, organizations are failing to capitalize on the widening array of opportunities.

ISACA’s new Digital Transformation Barometer research shows that only 31% of organizations frequently evaluate opportunities arising from emerging technology. Given the swift pace with which technology is introduced and refined, this shows that most enterprises are undercutting their ability to seize marketplace opportunities and better serve their customers.

Boards of directors and the C-suite should be challenging their operational teams to research, pilot and ultimately become experts in emerging technologies capable of transforming their enterprises. Big data, artificial intelligence, Internet of Things devices and blockchain are just a few examples of technologies capable of delivering transformational change. To lead effectively, senior leaders have to be able to articulate the future vision for their companies in the context of the technologies that will get them there.

There isn’t a board chair or CEO on the planet who would not be thrilled to open new revenue streams or reach new customers – some of the top motivators for pursuing digital transformation. So, what is holding so many organizations back? A shortage of digitally fluent leaders is one impediment. Only a little more than half of survey respondents expressed confidence that their organizations’ leaders have a solid understanding of technology and its related benefits and risks. ISACA’s research shows that those organizations lacking digitally fluent leadership are less likely to evaluate technology opportunities.

Even those organizations that perform their due diligence in vetting new technologies often develop reservations once more is learned about the associated risks. A whopping 96% of survey respondents believe there is high or medium risk in deploying IoT devices, and more than 9 in 10 respondents also categorized public cloud and AI/machine learning/cognitive technology as posing medium to high risk.

The reality is every new technology introduced expands the attack surfaces and presents new risks. Organizations must move beyond that inherent discomfort and devote the necessary resources to mitigate risk to acceptable levels. Enterprises with effective information and technology governance programs can deliver better customer experiences, innovate more, and improve their business performance and profitability. Investing in well-trained, highly skilled professionals in areas such as audit, risk, governance and cyber security can provide enterprises the confidence they need to effectively and securely leverage their technology. Organizations should also resist the urge to take shortcuts in pilot testing or research and development when evaluating new technologies.

It’s important to have realistic expectations about digital transformation. Not every turn of the wheel on an enterprise’s journey can be a smashing success, and organizational leaders must give their team members the freedom to take a well-reasoned risk that may – or may not – yield the anticipated results. Those failures can provide unparalleled learning opportunities.

Organizations that remain committed to digital transformation can reap great rewards. From telecommunications giant Sprint tapping into big data, to a town in North Carolina, USA, shedding the yoke of legacy applications, there is no shortage of examples of enterprise large and small successfully harnessing digital transformation.

As the Latin proverb goes, fortune favors the bold. Enterprise leaders should embrace that mindset and make digital transformation a centerpiece of their organizations’ roadmaps toward a prosperous future.

Matt Loeb, CGEIT, CAE, FASAE, Chief Executive Officer, ISACA

[ISACA Now Blog]

Getting Digital Transformation Right: The Fundamental Three

Emerging technologies – such as machine learning, artificial intelligence (AI), blockchain, Internet of Things (IoT), augmented reality, and 3-D printing – are swiftly disrupting several industries. To paraphrase Klaus Schwab, co-founder of the World Economic Forum, these mind-boggling innovations are redefining humanity, pushing the thresholds of lifespan, health, cognition, and capabilities in ways previously considered to be preserves of science fiction.

The possibilities presented by digital transformation are indeed captivating. The uses are as varied as the organizations putting them to use. Sensors attached to jet engines are transmitting signals mid-flight, enabling airlines to promptly detect sub-optimal performance and conduct pre-emptive maintenance, boosting safety and minimizing downtime. Physicians are replicating flesh and bones using 3-D technology to simulate high-risk surgical operations, lifting patients’ confidence and shortening their anaesthesia durations. Meanwhile blockchain – an open source, distributed ledger of everything – is being used to develop self-executing contracts, eliminating record labels and enabling artists to interact directly with consumers, maximizing their ingenuity rewards.

The benefits of digital transformation are unquestionable, but enterprises must manage these programs carefully. Here are three key recommendations:

Drive cultural change
Digital transformation transcends IT – it’s an enterprise-wide matter that requires unwavering commitment from the C-suite to front-line staff. To succeed, enterprises must place cultural change, not technology, at the core of their strategies. This requires eliminating unnecessary barriers to innovation, agility and change that exist within organizations, including breaking down functional silos and revising bureaucratic governance structures. As Jeffrey R. Immelt, CEO of General Electric, said, “You can’t have a transformation without revamping the culture and the established ways of doing things.”

Leadership from the top is essential to establish vision, institute appropriate governance structures and drive cultural change during any major change, and digital transformation is no exception. Executive messages must be clear and consistent, persuading employees that creating a nimbler enterprise that can swiftly respond to market needs is an existential matter; status quo is untenable. This fosters an environment of trust and spurs employee engagement, prerequisites for success.

On the contrary, inconsistent messages fuel doubts, forcing employees to work in silos and resent change. This risk looms large when transformation is perceived as a threat to people’s jobs. Consistent with this view, the majority of respondents to the ISACA’s Digital Transformation Barometer rated AI and public cloud as top candidates to face organizational resistance. While initial reservations about public cloud are waning, migration efforts and radical process changes can pose such organizational challenges.

Embed security
In the race to keep up with competitors, enterprises often have a disproportionate emphasis on the pace of transformation. Often, security and infrastructure considerations are afterthoughts, but such missteps can have lasting business repercussions.

Emerging technologies are exerting enormous pressure on traditional security models. For instance, billions of IoT devices with glaring vulnerabilities are integrating with critical infrastructure, creating numerous backdoors for malefactors to exploit. Cloud is enabling employees to bypass IT governance processes and export volumes of sensitive data to unsanctioned environments, aggravating the enduring shadow IT problem. At the same time, location-based applications collect troves of personal data, raising safety and privacy concerns. Each emerging technology presents new security issues, many of which have not been sufficiently evaluated nor understood.

To thrive, businesses need to make security an inescapable facet of digital transformation programs, considering implications early during business case evaluations. Enterprises also must have a nuanced understanding of each technology, carefully balancing pace of adoption, security and convenience.  Traditional one-size-fits-all models don’t cut it anymore. Securing an implanted cardiac pacemaker that can resuscitate a faltering heart, for example, requires more rigor when compared to securing a wearable device that tracks steps.

As this revolution unfolds, several jurisdictions are also tightening privacy laws. For instance, the EU’s General Data Protection Regulation (GDPR) will impose fines up to $20M EUR or up to 4% of the annual worldwide turnover, whichever is greater. Businesses must have a strong grasp of applicable privacy laws to ensure compliance and retain customers’ trust.

Consider the impact of legacy applications
As digitization gains pace, several enterprises are finding themselves saddled by jumbles of complex, aged and proprietary applications, referred to as “legacy spaghetti.” Several of these decades-old digital workhorses have developed a reputation for reliability and still underpin vital operations. But they can also be daunting obstacles to digital transformation. Specifically, they are not designed to handle the flexibility, speed and performance demanded by today’s digital enterprise. Furthermore, they don’t have well-defined interfaces, sufficient documentation and available subject matter experts.

To manage this risk, business leaders should ask the following questions:

  • Which legacy applications can be cost-effectively modernized as part of the transformation program?
  • Which applications must remain untouched to mitigate risks to the stability of core operations?
  • Which skillsets are required to seamlessly integrate novel applications with existing infrastructure and support mission-critical applications that cannot be feasibly decommissioned?

An effective digital transformation strategy, therefore, carefully balances the need to rejuvenate customer experiences with the steadiness of core processes. None of these can be dealt with in isolation.

Looking ahead
This wave of digital transformation calls for enterprises to deeply rethink their strategies. Those that stick their heads in the sand may soon be irrelevant to their customers.

About the authors
Phil Zongo is a head of cyber security for an Australian investment management firm. He is the 2016-17 winner of the ISACA’s Michael Cangemi Best Book/Article Award, a global award that recognizes individuals for major contributions to publications in the field of IS audit, control and/or security. Phil has more than 13 years of technology risk consulting experience, advising executives on how to manage critical risk in complex technology transformation programs across multiple industries.

Natasha Barnes, CISA, is a manager with a global consulting firm, based in the Washington D.C. metro area. She has provided IT risk and compliance consulting services within both public and private sectors for more than seven years. Natasha helps her clients to optimize their control environments and address evolving cyber security challenges. Natasha is also a member of ISACA and a career coach with Careerly, where she mentors aspiring cyber security professionals by providing students with practical guidance to make informed career decisions.

Phil Zongo, Head of Cybersecurity, Author and Public Speaker; and Natasha Barnes, CISA, IT Risk and Compliance Consulting Manager

[ISACA Now Blog]

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