9 Cloud Security Questions you need to ask Service Providers

Companies in Ireland and the UK who are considering cloud adoption might already have a general idea of the security risks inherent in cloud computing. However, since different providers may not offer the same levels of risk mitigation, it is important to know which providers can give sufficient assurance on cloud security.

Here are 10 cloud security questions to ask service providers vying for your attention.

1. Where will my data be located?

There are a variety of reasons why you will want to ask this question. One big reason is that there are certain countries that don’t have strict legislation (or any legislation at all) pertaining to cloud computing. In that case, the provider won’t be as motivated to apply high levels of risk mitigation.

So if your data is hosted off shore, then you might want to reconsider or at least conduct a deeper study regarding the security conditions there.

2. Do you have provisions for regulatory compliance?

Certain standards and regulations (e.g. PCI DSS and possibly the EU Data Protection Directive) have specific guidelines pertaining to data stored in the cloud. If your organisation is covered by any of these legislation, then you need to know whether your provider can help you meet requirements for compliance.

3. Who will have access to my data?

In a cloud environment, where your data is going to be managed by people who aren’t under your direct supervision, you’ll have to worry as much about internal threats as you would with external threats.

Therefore, you need to know how many individuals will have access to your data. You also need to know relevant information such as how admins and technicians with data access rights are screened prior to getting hired. You also need to determine what access controls are being implemented.

4. How is data segregated?

Since there will be other clients, you will want to know how your data is going to be segregated from theirs. Is there any possibility of an accidental or intentional data breach due to poor data segregation? Find out if your data is going to be encrypted and how strong the encryption algorithm is.

5. How will you support investigative activities?

Sometimes, even if strong cloud security measures are in place, a data breach can still happen. If it does happen, the provider should have ways to track each user/administrator’s activity that can sufficiently support a detailed data forensics investigation.

Find out whether logs are being kept and how detailed they are.

6. Are we protected by a Disaster Recovery/Business Continuity plan? How?

Don’t be fooled by sales talk of 100% up-time. Even the most robust cloud infrastructures can suffer outages too. But the important thing is that, when they do fail, they should be able to get up and running in the soonest time possible.

Don’t just ask about their guaranteed RPOs and RTOs. Find out whether your data and applications will be replicated across multiple sites. Unless the provider says they will be, you need to find a provider with a better infrastructure.

7. Can I get copies of my VMs?

In a cloud infrastructure, your servers are actually in the form of files known as virtual machines (VMs). Because VMs are just files, they should be easily copied. There may be issues though, like the VMs might be stored in a not-so-popular proprietary format. Another possible issue is that the provider may simply not allow copying.

Having copies of your VMs can be useful should you later on decide to transfer to another provider or even duplicate your cloud infrastructure on your own.

8. What will happen to my data when I scale down?

One outstanding benefit of cloud computing is that when your business demands drop, you can easily scale down computing resources and reduce your cloud spending. ?But what will happen to your data when you decommission virtual servers? Will they be discarded?

You might want your data to be retained up to a certain period. On the other hand, you might also want them to be deleted immediately. Ask about the provider’s data deletion/data retention policies and see if they are in line with yours.

9. What will happen to my data if I decide to close my account?

There might come a time when you’ll want to terminate your contract with your cloud provider. Just like in issue #8, you’ll want to find out more about data deletion/data retention policies.

Although some providers can give you detailed answers, many of these answers can include a lot of technical jargon that can leave you totally confused. If you want someone you can trust to:

  • simplify those answers;
  • help you pick the right cloud service provider, and
  • even make sure cloud security is really upheld once your cloud engagement is ?under way

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What Sub-Metering did for Nissan in Tennessee

When Nissan built its motor manufacturing plant in Smyrna 30 years ago, the 5.9 million square-foot factory employing over 8,000 people was state of art. After the 2005 hurricane season sky-rocketed energy prices, the energy team looked beyond efficient lighting at the more important aspect of utility usage in the plant itself. Let’s examine how they went about sub-metering and what it gained for them.

The Nissan energy team faced three challenges as they began their study. They had a rudimentary high-level data collection system (NEMAC) that was so primitive they had to transfer the data to spread-sheets to analyse it. To compound this, the engineering staff were focused on the priority of getting cars faster through the line. Finally, they faced the daunting task of making modifications to reticulation systems without affecting manufacturing throughput. But where to start?

The energy team chose the route of collaboration with assembly and maintenance people as they began the initial phase of tracking down existing meters and detecting gaps. They installed most additional equipment during normal service outages. Exceptions were treated as minor jobs to be done when convenient. Their next step was to connect the additional meters to their ageing NEMAC, and learn how to use it properly for the first time.

Although this was a cranky solution, it had the advantage of not calling for additional funding which would have caused delays. However operations personnel were concerned that energy-saving shutdowns between shifts and over weekends could cause false starts. ?We’ve already squeezed the lemon dry,? they seemed to say. ?What makes you think there?s more to come??

The energy team had a lucky break when they stumbled into an opportunity to prove their point early into implementation. They spotted a four-hourly power consumption spike they knew was worth examining. They traced this to an air dryer that was set to cyclical operation because it lacked a dew-point sensor. The company recovered the $1,500 this cost to fix, in an amazing 6 weeks.

Suitably encouraged and now supported by the operating and maintenance departments, the Smyrna energy team expanded their project to empower operating staff to adjust production schedules to optimise energy use, and maintenance staff to detect machines that were running without output value. The ongoing savings are significant and levels of shop floor staff motivation are higher.

Let’s leave the final word to the energy team facilitator who says, ?The only disadvantage of sub-metering is that now we can’t imagine doing without it.?

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Spreadsheet Risk Issues

It is interesting to note that the riskiness of operational spreadsheets are overlooked even by companies with high standards of risk management. Only when errors amount to actual losses do they realize that these risks have been staring them in the face all along.

Common spreadsheet risk issues

Susceptibility to trivial manual errors

Due to the fundamental structure of spreadsheets, a slight change in the formula or value in any of their inhabited cells may already affect their overall output. An

  • accidental copy-paste,
  • omission of a negative sign,
  • erroneous range selection,
  • incorrect data input or
  • unintentional deletion of a character,cell, range, column, or row

are just some of the simple errors spreadsheet users frequently encounter. Rarely are there any counter-checking controls in place in a spreadsheet-based activity and manual errors therefore easily go undetected.

Possibility of the user working on the wrong version

How do you store spreadsheet files?

Since the most common reports are usually generated on a monthly basis, users tend to store them using variations of these two configurations:

spreadsheet storage

If you notice, a user can accidentally work on the wrong version with any of these structures.

Prone to inconsistent company-wide reporting

This happens when a summary or ?final? spreadsheet is fed information by different departments coming from their own spreadsheets. Even if most of the data in their spreadsheets come from one source (the company-wide database), erroneous copy-pasting and linking, or even different interpretations of the same data can result to contradicting information in the end.

Often defenceless against unauthorised access

Some spreadsheets contain information needed by various individuals or department units in an organisation. Hence, they are often shared via email or through shared folders in a network. Now, because spreadsheets don’t normally use any access control, any user can easily open a spreadsheet file and view or modify the contents as he wishes.

Highly vulnerable to fraud

A complex spreadsheet system with zero or very minimal controls provides the perfect setting for would-be fraudsters. Hidden cells with malicious formulas and links to bogus information can go unnoticed for a long time especially if the final figures don’t deviate much from expected values.

Spreadsheet risk mitigation solutions may not suffice

Inherent complexity makes testing and logic inspection very time consuming

Deep testing can uncover possible errors hidden in spreadsheet cells and consequently mitigate risks. But spreadsheets used to support financial reporting are normally large, complex, highly-personalised and, without ample supporting documentation, understandably hard to follow.

No clear ownership of risk management responsibilities

There?s always a dilemma when an organisation starts assigning risk management responsibilities for spreadsheets. IT personnel believe users in the business side of the organisation should be responsible since they are the ones who create, edit, store, duplicate, and share the spreadsheet files. On the other hand, users believe IT should be responsible since they have always been in-charge of managing IT infrastructure, applications, and files.

To get rid of spreadsheet risks, you’ll have to get rid of spreadsheets altogether

One remedy is to have a risk management activity that involves both IT personnel and spreadsheet users. But wouldn’t you want to get rid of the complexity of having to distribute the responsibilities between the two parties instead of just one?

Learn more about Denizon’s server application solutions and how you can get rid of spreadsheet risk issues.

More Spreadsheet Blogs


Spreadsheet Risks in Banks


Top 10 Disadvantages of Spreadsheets


Disadvantages of Spreadsheets – obstacles to compliance in the Healthcare Industry


How Internal Auditors can win the War against Spreadsheet Fraud


Spreadsheet Reporting – No Room in your company in an age of Business Intelligence


Still looking for a Way to Consolidate Excel Spreadsheets?


Disadvantages of Spreadsheets


Spreadsheet woes – ill equipped for an Agile Business Environment


Spreadsheet Fraud


Spreadsheet Woes – Limited features for easy adoption of a control framework


Spreadsheet woes – Burden in SOX Compliance and other Regulations


Spreadsheet Risk Issues


Server Application Solutions – Don’t let Spreadsheets hold your Business back


Why Spreadsheets can send the pillars of Solvency II crashing down

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What Kanban can do for Call Centre Response Times

When a Toyota industrial engineer named Taiichi Ohno was investigating ways to optimise production material stocks in 1953, it struck him that supermarkets already had the key. Their customers purchased food and groceries on a just-in-time basis, because they trusted continuity of supply. This enabled stores to predict demand, and ensure their suppliers kept the shelves full.

The Kanban system that Taiichi Ohno implemented included a labelling system. His Kanban tickets recorded details of the factory order, the delivery destination, and the process intended for the materials. Since then, Ohno?s system has helped in many other applications, especially where customer demand may be unpredictable.

Optimising Workflow in Call Centres
Optimising workflow in call centres involves aiming to have an agent pick up an incoming call within a few rings and deal with it effectively. Were this to be the case we would truly have a just-in-time business, in which operators arrived and left their stations according to customer demand. For this to be possible, we would need to standardise performance across the call centre team. Moving optimistically in that direction we would should do these three things:

  • Make our call centre operation nimble
  • Reduce the average time to handle calls
  • Decide an average time to answer callers

When we have done that, we are in a position to apply these norms to fluctuating call frequencies, and introduce ?kanbanned? call centre operators.

Making Call Centre Operations Nimble
The best place to start is to ask the operators and support staff what they think. Back in the 1960?s Robert Townsend of Avis Cars famously said, ?ask the people ? they know where the wheels are squeaking? and that is as true as ever.

  1. Begin by asking technical support about downtime frequencies, duration, and causes. Given the cost of labour and frustrated callers, we should have the fastest and most reliable telecoms and computer equipment we can find.
  1. Then invest in training and retraining operators, and making sure the pop-up screens are valuable, valid, and useful. They cannot do their job without this information, and it must be at least as tech-savvy as their average callers are.
  1. Finally, spruce up the call centre with more than a lick of paint to awaken a sense of enthusiasm and pride. Find time for occasional team builds and fun during breaks. Tele-operators have a difficult job. Make theirs fun!

Reducing Average Time to Handle Calls
Average length of contact is probably our most important metric. We should beware of shortening this at the cost of quality of interaction. To calculate it, use this formula:

Total Work Time + Total Hold Time + Total Post Call Time

Divided By

Total Calls Handled in that Period

Share recordings of great calls that highlight how your best operators work. Encourage role-play during training sessions so people learn by doing. Publish your average call-handling time statistics. Encourage individual operators to track how they are doing against these numbers. Make sure your customer information is up to date. While they must confirm core data, limit this so your operators can get down to their job sooner.

Decide a Target Time to Answer Calls
You should know what is possible in a matter of a few weeks. Do not attempt to go too tight on this one. It is better to build in say 10% slack that you can always trim in future. Once you have decided this, you can implement your Kanban system.

Introducing Kanban in Your Call Centre Operation
Monitor your rate of incoming calls through your contact centre, and adjust your operator-demand metric on an ongoing basis. Use this to calculate your over / under demand factor. Every operator should know the value on this Kanban ticket. It will tell them whether to speed up a little, or slow down a bit so they deliver the effort the call rate demands. It will also advise the supervisor when to call up reserves.

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