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Why businesses need to start focusing on cloud computer security

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Cloud computing is providing businesses with many advantages and the technology is one of the fastest growing, led by the likes of Amazon Web Services and Microsoft. Businesses also need to be mindful of security matters, according to a new report.

The deep dive into the security matters impacting on the cloud computing market and the way that businesses are implementing comes from Bitglass. The company has released a report titled “Guardians of the Cloud”, which represents its latest (and the 2019 edition) of its Cloud Security Report. The reports series focuses on key trends and common vulnerabilities across the economy.

The report’s strapline is that as organizations migrate increasing volumes of data and operations to the cloud, it is important that they maintain a strong and well-developed cybersecurity system.

How well businesses are achieving security for cloud is varied, as uncovered in the Bitglass report. To gather data across a range of industrial sectors, Bitglass has partnered with a cybersecurity community and surveyed IT professionals about the status of cloud security inside their organizations.

The 2019 reports finds that 75 percent of organizations leverage multiple cloud solutions. This is a sign of the rapid take-up of cloud solutions. However, just 20 percent of companies are monitoring cross-app anomalous behavior. This is important and becomes even more pressing with the growing number of organizations who are electing to store sensitive information in the cloud (such as customer data, stored by 45 percent of the survey respondents); employee data (captured by 42 percent of the firms surveyed) and intellectual property (noted by 24 percent of those polled). Consequently, this level of personal data means that putting in place robust cloud security measures is essential.

Security remains a high consideration for companies, it is just a question of how effective they are at putting appropriate measures into place. The top priorities for businesses in relation to cloud computing are: defending business systems against malware, achieving regulatory compliance (such as GDPR), and securing major apps in current use.

Malware represents a major data leakage vector. A secondary data loss concern is with unsanctioned cloud apps, although the weaknesses around these is not felt to be as great as with previous surveys.

According to Rich Campagna, chief marketing officer of Bitglass: “This report found that 93 percent of respondents are at least moderately concerned about their ability to use the cloud securely, and that the adoption rates of basic cloud security tools and practices are still far too low. Many organizations need to rethink their approach to protecting data, as traditional tools for safeguarding data on premises are not capable of protecting data in the cloud.”

Applying access control (52 percent of respondents) and anti-malware (raised by 46 percent) are the most commonly used cloud security options. Further down the list are single sign-on (26 percent) and data loss prevention (20 percent). While a number of firms have or are implementing such security solutions, these are not deployed often enough. One reason for this is cost. This is followed by ease of deployment and then with cross-cloud security policies.

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IoT + Data Analytics = Store Operations Intelligence

How many times have you visited a grocery store the day before a snowstorm or other major weather event only to find the bread and milk aisles wiped clean? What might be a disappointment for you is also a missed opportunity for grocery stores, an industry with an already razor-thin 2% margin.

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How many times have you visited a grocery store the day before a snowstorm or other major weather event only to find the bread and milk aisles wiped clean? What might be a disappointment for you is also a missed opportunity for grocery stores, an industry with an already razor-thin 2% margin.

Hungry for efficiencies

Inventory management, especially for perishables, is a delicate dance. Too little of it and grocers have lost a revenue opportunity every time a customer leaves empty-handed. Too much of it and grocers lose revenue again, this time from spoilage or having to slash prices to clear shelves. Spoilage is a significant problem — grocery retailers lose an astounding $70 million annually because of food simply going bad. 

Market economics further muddies the picture. A whopping 82% of grocery companies are increasing their stock of fresh foods in response to customer demand so there’s simply more perishables to manage — and therefore more at stake.

To ensure not too much capital is tied up in unsold goods, grocery stores forecast demand and supply based on a variety of conditions, including weather, time of year, and even weekly foot traffic. But as Cognizant as observed, a whole host of additional factors affecting inventory management can drain grocery store revenues.

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Smart systems

One of Cognizant’s clients, a major supermarket chain, found that working with older equipment also challenged inventory management. 

Internet of Things (IoT)-embedded sensors track ambient temperature, temperature of the food, humidity and even electric current flowing into refrigerators to keep a pulse on perishables. But this leads to grocery stores drowning in data. The sensors cry wolf too often forcing the retailer to waste expensive technician time on every perceived crisis. Such waste happens because too often, sensors do not accurately reflect the whole story. 

Cognizant has shown that data alone is not enough, strategic reading of the data tea leaves also matters in increasing efficiencies. Using the IoT sensors, Cognizant helped the grocery retailer monitor inventory in real time — the pressure on sensitized shelves changes when inventory counts drop — and restock accordingly. Even better, Cognizant’s solution analyzed the data feed in real time, at the edge. Algorithms accounted for many variables including work load, cost of energy at different times of the day, whether the door was open or closed, to recommend intelligent solutions. 

Using edge data analytics and IoT sensors, grocery stores can automate many fixes, proactive reorder inventory and even automatically churn out work orders for technicians only as and when needed.

When inventory management is a delicate and challenging operation, grocery retailers need to be strategic about how they invest precious resources. IoT + edge analytics is a game-changer. It gives retailers the intelligence they need to deploy resources effectively and proactively so they can better cater to demand and cut waste. 

IoT-driven asset management and data analytics will be key to success in the grocery industry. Climate change has increased the clamor for sustainability and less food waste. The timing for smart solutions could not be better.

Read more about Cognizant’s IoT refrigeration solution here.

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IoT + Big Data = Facilities Management Intelligence

In the equation IoT + X = Operations Intelligence, what role does big data play in facilities management?

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The way we work today has changed. The workforce is becoming mobile and companies rent temporary space depending on needs.

At the same time, facilities management professionals have a number of mandates, says Nancy Berce, chief information officer at Johnson Controls. They need to control costs while still delivering personalized experiences. They need to regulate access so only authorized personnel can enter key areas of buildings. They need to conform to wider regulations imposed by the pressing concerns of climate change.

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The Internet of Things (IoT) helps deliver such efficiencies by helping facilities management professionals harvest and analyze big data — smarter and at scale.

The parallel evolution of big data and IoT

Facilities management professionals have monitored heating and cooling systems and fire and security systems for decades. But IoT has delivered a fundamental shift in how that monitoring occurs. IoT-embedded devices can relay health of the equipment in real time and the big data from such equipment help professionals manage facilities on a much more granular level.

No more blindly replacing all the light bulbs every six months. A digital-enabled platform can alert professionals to systems that are in danger of failing so the appropriate actions kick into action only as and when needed — with minimum cost to the facility and minimum disruption to the worker. “We now have a level of intelligence and insight from smart algorithms where we can be proactive about preventative maintenance and predict efficiency opportunities a lot sooner,” Berce says. 

How to leverage big data and IoT

Johnson Controls’ Bee’ah green building project, illustrates just how smart IoT-driven buildings can drive efficiencies at scale to deliver a nearly fully automated workplace of the future, with temperature and lighting controls just a few of the parameters that adjust depending on workforce distribution. 

IoT increases the number of data sets that facilities can play with and allows them to pinpoint trouble before it brings down the entire system. How does one leverage the benefits of big data and IoT to deliver intelligence?

Case Study: Advancing Smart Manufacturing Operations Value with Industry 4.0 Platform

First, connecting all the big data points together is key to see the larger picture, Berce says. Companies might already have the information they need for smarter operations, but they might be in silos. IoT data related to security, for example, can be connected to an active employee directory, to automate entry to more sensitive areas of buildings (think operating rooms in hospitals). Companies can even marry IoT systems with external weather data to manage their cooling systems.

Second, understand the insights you are looking for and use IoT accordingly, Berce says.

Third, retrofit legacy systems with IoT devices as needed. 

Finally, make the data analysis easy to visualize, advises Berce. A digital platform where professionals can easily detect anomalies makes it better to find the needle in the haystack and act on the intelligence that big data and IoT are delivering. 

IoT and big data allow professionals to do all things at once — to both zoom in and zoom out as needed. Such flexibility allows facilities management to meet the growing demands for efficiency while customizing personalized experiences for each and every worker.

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IoT + Smart Edge Computing = Operations Intelligence

In the equation IoT + X = Operations Intelligence, what role does smart edge computing play?

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You don’t always need a sledgehammer to crack a nut.

The general premise driving the use of the Internet of Things (IoT) and data analytics to deliver intelligence is that the end actions usually have to be executed through some kind of blanket (often human) intervention. The shaky fallacy at the core of this idea is that it takes a sledgehammer to a nut in that even small adjustments to operating conditions requires a large investment of resources. Smart edge computing addresses this challenge and applies a solution that is more proportional to the size of the problem.

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Whether it’s a thermostat or a light switch or a card reader, most edge devices that control today’s commercial facilities are passive and wired devices, says Datta Godbole, the chief technology officer for Honeywell Building Technologies. Smart edge computing introduces a more efficient way of corralling the power of IoT to deliver operations intelligence. Smart edge devices can act on intelligence on the frontlines and save the heavy-duty computing for the cloud.

Smart edge computing helps companies, including facility management organizations, distribute computing needs more efficiently: you execute the small changes at the edge and save the heavy lifting for the cloud. “Time critical decisions are executed quickly without going to the cloud, while cloud computing is great for analyzing long-term trends through AI algorithms,” Godbole says.

Decisions at the edge

It is this “quickly” factor, the latency that is saved, that makes smart edge computing so valuable as part of the equation IoT + smart edge computing = operations intelligence.

Imagine a commercial building packed with fire and smoke detectors. Facilities management needs to maintain and periodically inspect these devices, which involves days of intensive work. What if instead the smoke detector could signal when it’s ready for maintenance – much like your car does? “In the future, all equipment in the building will be smart and can diagnose themselves and ask for help,” Godbole says.

The IoT part of the equation comes from the many sensors measuring a variety of parameters including temperature, humidity, light, foot traffic, occupancy and more. The introduction of IoT expands the working data set so management can more finely calibrate the final experience. “If we have IoT sensors that blanket a whole building, that conduct micro-measurements of every part of the building, we get a much truer picture of what’s happening in the building and you can control air conditioning or heating accordingly,” Godbole says.

Case Study: Advancing Smart Manufacturing Operations Value with Industry 4.0 Platform

In a sense, IoT allows for both personalized comfort and efficiencies at scale. When an employee swipes her card and enters her workspace, what if IoT-embedded edge devices automatically gave her what she was looking for: a slightly warmer conference room, lighting that adjusted depending on where she was working and her favorite snacks lined up in the kitchen?

Foot traffic sensors and occupancy patterns in the long term can dictate heating and cooling requirements so management can optimize these over time.

The use of IoT in conjunction with smart edge computing will lead to a more efficient allocation of computing resources and better and faster decision-making. No longer do you need a sledgehammer for every problem, a fine scalpel will work even better.

[Download]: A New Approach to PLM

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