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Resilience is the new cyber security

Cyber security used to be all about prevention, but as breaches become a matter of when rather than if, the new watchword is resilience, writes ARTHUR GOLDSTUCK.

There was a time when all one needed to keep computers safe was up-to-date anti-virus software.  Then the hackers upgraded their armoury and we needed firewalls for both networks and personal computers. Finally, cyber criminals developed an all-out assault, in which thousands of compromised computers would be roped in as “bots” to mass-attack a target. Known as a Distributed Denial-of-Service or DDoS attack, it has taken down even the mightiest technology champions like Facebook and Google.

As a result, for some years now, information security has been seen as an arms race between the hackers and the defenders. The latter have never been willing to acknowledge that the hackers tend to have the upper hand, but this reality is slowly beginning to dawn on them.

So, while up-to-date information security tools and defences remain critical, they can no longer define security strategy.

“People are realising there’s no silver bullet, no one technology that will help them clamp down on cyber threats,” says Heino Gevers, Customer Experience Manager at Mimecast South Africa, specialists in email protection and management. “The answer is not to use more technology, but to develop something called cyber resilience.”

This refers only partly to the ability to withstand attacks. Primarily, it deals with now one responds when an attack does take place, as well as what processes are in place to protect customer information, how these processes are documented, and whether the company has a strategy for evolving its responses.

Right now, for example, many companies are struggling to get to grips with the Protection of Personal Information (POPI) Act, which has been signed into law, but is not yet active due to provisions that have not yet been met. A key element of POPI is a requirement to disclose any security breaches that may have compromised customer information.

Last year, the Ster-Kinekor website suffered a major breach that resulted in millions of user names and passwords being exposed. The company was not obliged to report it, and it only came to light as a result of being given as a case study during a global cyber security conference.

Under POPI, not only would a company be obliged to disclose such a breach, but it would also have to explain what measures had been in place to protect its customers, and how it was addressing the consequences. In effect, POPI compliance would be a key step towards cyber resilience.

“Companies have to ask themselves the question: what have they done today to try to understand POPI and the new cyber laws, and what it means for their business,” says Gevers.

“A lot of it speaks to how you put measures in place, how you document those measures when there is a breach, and about the processes and people components. It’s not a nice-to-have: it’s going to be mandatory.”

Once a company start unpacking these demands, he says, it gets to the core of new cyber security demands.

“Firstly, there is no silver bullet. Secondly, a defensive strategy should evolve to a resilience strategy, ie instead of only trying to prevent it, know what to do when it happens and be able to answer the question: did you do everything in your power to protect customers, users and data?”

The concept can be extended to individuals as well. Everyone should have a plan in place for when things go wrong. For example, if a virus infects your computer or  smartphone, or you are conned into downloading software that locks you out of your computer, do you have a backup somewhere? Can you log into Microsoft OneDrive or GoogleDrive and get access to the latest versions of all your documents?

If you don’t have that kind of online backup, are you backing up onto an external hard drive or even USB flash drive? Are you able to change the password on your online bank account or social media network at a moment’s notice?

If none of that has even occurred to you, then you are not even close to cyber resilience. But with that checklist in hand, you can begin the process.

For companies, entire departments exist to take that responsibility off the hands of individuals, but every employee should be involved in the process.

“Cyber resilience is best deacribed as a famework consisting of five pillars,” says Gevers. “It makes it simple for organisations to understand where to start and to refine these pillars.”

The five pillars of cyber resilience can be summed up as:

  • Preparing and identifying what information is being processed in an organisation and ientifying what systems interact with that information. It should then be classified according to confidential company information, confidential customer information, or public knowledge.
  • Reasonable protection of the organisation, which includes having a clear understanding of the comapany’s information security needs.
  • Swift detection of a breach, on the understanding that, as Gevers put it, “the sooner you can detect a breach, the better you can mitigate financial damage”.
  • Swift reponse, which includes having a business continuity plan in place, and transparent communication with all stakeholders. “How do I repsond to inernal staff, and who owns that communication? It all has to be approved in advance,” says Gevers. “Don’t deal with the issue in isolation or sweep it under the carpet.”
  • How you recover is possibly the most critical pillar. “Most organisations don’t have a plan to restore operations. Most restore from a backup. They need to acknowledge that ransomware and other threats are evolving, so you cant recover in the way you did in past, if the criminals still have your intellectual property.”

 

  • Arthur Goldstuck is founder of World Wide Worx and editor-in-chief of Gadget.co.za. Follow him on Twitter and Instagram on @art2gee

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Now IBM’s Watson joins IoT revolution in agriculture

Global expansion of the Watson Decision Platform taps into AI, weather and IoT data to boost production

IBM has announced the global expansion of Watson Decision Platform for Agriculture, with AI technology tailored for new crops and specific regions to help feed a growing population. For the first time, IBM is providing a global agriculture solution that combines predictive technology with data from The Weather Company, an IBM Business, and IoT data to help give farmers around the world greater insights about planning, ploughing, planting, spraying and harvesting.

By 2050, the world will need to feed two billion more people without an increase in arable land [1]. IBM is combining power weather data – including historical, current and forecast data and weather prediction models from The Weather Company – with crop models to help improve yield forecast accuracy, generate value, and increase both farm production and profitability.

Roric Paulman, owner/operator of Paulman Farms in Southwest Nebraska, said: “As a farmer, the wild card is always weather. IBM overlays weather details with my own data and historical information to help me apply, verify, and make decisions. For example, our farm is in a highly restricted water basin, so the ability to better anticipate rain not only saves me money but also helps me save precious natural resources.”

New crop models include corn, wheat, soy, cotton, sorghum, barley, sugar cane and potato, with more coming soon. These models will now be available in the Africa, U.S. Canada, Mexico, and Brazil, as well as new markets across Europe and Australia.

Kristen Lauria, general manager of Watson Media and Weather Solutions at IBM, said: “These days farmers don’t just farm food, they also cultivate data – from drones flying over fields to smart irrigation systems, and IoT sensors affixed to combines, seeders, sprayers and other equipment. Most of the time, this data is left on the vine — never analysed or used to derive insights. Watson Decision Platform for Agriculture aims to change that by offering tools and solutions to help growers make more informed decisions about their crops.” 

The average farm generates an estimated 500,000 data points per day, which will grow to 4 million data points by 2036 [2]. Applying AI and analysis to aggregated field, machine and environmental data can help improve shared insights between growers and enterprises across the agriculture ecosystem. With a better view of the fields, growers can see what’s working on certain farms and share best practices with other farmers. The platform assesses data in an electronic field record to identify and communicate crop management patterns and insights. Enterprise businesses such as food companies, grain processors, or produce distributors can then work with farmers to leverage those insights. It helps track crop yield as well as the environmental, weather and plant biologic conditions that go into a good or bad yield, such as irrigation management, pest and disease risk analysis and cohort analysis for comparing similar subsets of fields.

The result isn’t just more productive farmers. Watson Decision Platform for Agriculture could help a livestock company eliminate a certain mold or fungus from feed supply grains or help identify the best crop irrigation practices for farmers to use in drought-stricken areas like California. It could help deliver the perfect French fry for a fast food chain that needs longer – not fatter – potatoes from its network of growers. Or it could help a beer distributor produce a more affordable premium beer by growing higher quality barley that meets the standard required to become malting barley.

Watson Decision Platform for Agriculture is built on IBM PAIRS Geoscope from IBM Research, which quickly processes massive, complex geospatial and time-based datasets collected by satellites, drones, aerial flights, millions of IoT sensors and weather models. It crunches large, complex data and creates insights quickly and easily so farmers and food companies can focus on growing crops for global communities.

IBM and The Weather Company help the agriculture industry find value in weather insights. IBM Research collaborates with start up Hello Tractor to integrate The Weather Company data, remote sensing data (e.g., satellite), and IoT data from tractors. IBM also works with crop nutrition leader Yara to include hyperlocal weather forecasts in its digital platform for real-time recommendations, tailored to specific fields or crops. IBM acquired The Weather Company in 2016 and has since been helping clients better understand and mitigate the cost of weather on their businesses. The global expansion of Watson Decision Platform for Agriculture is the latest innovation in IBM’s efforts to make weather a more predictable business consideration. Also just announced, Weather Signals is a new AI-based tool that merges The Weather Company data with a company’s own operations data to reveal how minor fluctuations in weather affects business.

The combination of rich weather forecast data from The Weather Company and IBM’s AI and Cloud technologies is designed to provide a unique capability, which is being leveraged by agriculture, energy and utility companies, airlines, retailers and many others to make informed business decisions.

[1] The UN Department of Economic and Social Affairs, “World Population Prospects: The 2017 Revision”

[2] Business Insider Intelligence, 2016 report: https://www.businessinsider.com/internet-of-things-smart-agriculture-2016-10


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What if Amazon used AI to take on factories?

By ANTONY BOURNE, IFS Global Industry Director for Manufacturing

Amazon recently announced record profits of $3.03bn, breaking its own record for the third consecutive time. However, Amazon appears to be at a crossroads as to where it heads next. Beyond pouring additional energy into Amazon Prime, many have wondered whether the company may decide to enter an entirely new sector such as manufacturing to drive future growth, after all, it seems a logical step for the company with its finger in so many pies.

At this point, it is unclear whether Amazon would truly ‘get its hands dirty’ by manufacturing its own products on a grand scale. But what if it did? It’s worth exploring this reality. What if Amazon did decide to move into manufacturing, a sector dominated by traditional firms and one that is yet to see an explosive tech rival enter? After all, many similarly positioned tech giants have stuck to providing data analytics services or consulting to these firms rather than genuinely engaging with and analysing manufacturing techniques directly.

If Amazon did factories

If Amazon decided to take a step into manufacturing, it is likely that they could use the Echo range as a template of what AI can achieve. In recent years,Amazon gained expertise on the way to designing its Echo home speaker range that features Alexa, an artificial intelligence and IoT-based digital assistant.Amazon could replicate a similar form with the deployment of AI and Industrial IoT (IIoT) to create an autonomously-run smart manufacturing plant. Such a plant could feature IIoT sensors to enable the machinery to be run remotely and self-aware; managing external inputs and outputs such as supply deliveries and the shipping of finished goods. Just-in-time logistics would remove the need for warehousing while other machines could be placed in charge of maintenance using AI and remote access. Through this, Amazon could radically reduce the need for human labour and interaction in manufacturing as the use of AI, IIoT and data analytics will leave only the human role for monitoring and strategic evaluation. Amazon has been using autonomous robots in their logistics and distribution centres since 2017. As demonstrated with the Echo range, this technology is available now, with the full capabilities of Blockchain and 5G soon to be realised and allowing an exponentially-increased amount of data to be received, processed and communicated.

Manufacturing with knowledge

Theorising what Amazon’s manufacturing debut would look like provides a stark learning opportunity for traditional manufacturers. After all, wheneverAmazon has entered the fray in other traditional industries such as retail and logistics, the sector has never remained the same again. The key takeaway for manufacturers is that now is the time to start leveraging the sort of technologies and approaches to data management that Amazon is already doing in its current operations. When thinking about how to implement AI and new technologies in existing environments, specific end-business goals and targets must be considered, or else the end result will fail to live up to the most optimistic of expectations. As with any target and goal, the more targeted your objectives, the more competitive and transformative your results. Once specific targets and deliverables have been considered, the resources and methods of implementation must also be considered. As Amazon did with early automation of their distribution and logistics centres, manufacturers need to implement change gradually and be focused on achieving small and incremental results that will generate wider momentum and the appetite to lead more expansive changes.

In implementing newer technologies, manufacturers need to bear in mind two fundamental aspects of implementation: software and hardware solutions. Enterprise Resource Planning (ERP) software, which is increasingly bolstered by AI, will enable manufacturers to leverage the data from connected IoT devices, sensors, and automated systems from the factory floor and the wider business. ERP software will be the key to making strategic decisions and executing routine operational tasks more efficiently. This will allow manufacturers to keep on top of trends and deliver real-time forecasting and spot any potential problems before they impact the wider business.

As for the hardware, stock management drones and sensor-embedded hardware will be the eyes through which manufacturers view the impact emerging technologies bring to their operations. Unlike manual stock audits and counting, drones with AI capabilities can monitor stock intelligently around production so that operations are not disrupted or halted. Manufacturers will be able to see what is working, what is going wrong, and where there is potential for further improvement and change.

Knowledge for manufacturing

For many traditional manufacturers, they may see Amazon as a looming threat, and smart-factory technologies such as AI and Robotic Process Automation (RPA) as a far off utopia. However, 2019 presents a perfect opportunity for manufacturers themselves to really determine how the tech giants and emerging technologies will affect the industry. Technologies such as AI and IoT are available today; and the full benefits of these technologies will only deepen as they are implemented alongside the maturing of other emerging technologies such as 5G and Blockchain in the next 3-5 years. Manufacturers need to analyse the needs which these technologies can address and produce a proper plan on how to gradually implement these technologies to address specific targets and deliverables. AI-based software and hardware solutions will fundamentally revolutionise manufacturing, yet for 2019, manufacturers just have to be willing to make the first steps in modernisation.

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