Malware

In the past, viruses were created with the sole purpose of wreaking havoc on the infected systems. A large fraction of today’s malware, on the other hand, are designed to generate revenues for the creator. Spyware, botnets, and keyloggers steal information from your system or control it so that someone else can profit. In other words, the motivation for making them is now more attractive than before.

Keyloggers can reveal your usernames, passwords, PIN numbers, and other authentication information to their creators by recording your key strokes. This information can then be used for breaking into various accounts: credit cards, payment programs (like PayPal), online banks, and others. You’re right, keyloggers are among the favourite tools of individuals involved in identity theft.

Much like the viruses of old, most present day malware drain the resources, such as memory and hard disk space, of contaminated systems; sometimes forcing them to crash. They can also degrade network performance and in extreme cases, may even cause a total collapse.

If that’s not daunting enough, imagine an outbreak in your entire organisation. The damage could easily cost your organisation thousands of euros to repair. That’s not even counting yet the value of missed opportunities.

Entry points for malware range from optical disks, flash drives, and of course, the Internet. That means, your doors could be wide open to these attacks at this very moment.

Now, we’re not here to promise total invulnerability, as only an unplugged computer locked up in a vault will ever be totally safe from malware. Instead, this is what we’ll do:

  • Perform an assessment of your computer usage practices and security policies. Software and hardware alone won’t do the trick.
  • Identify weak points as well as poor practices and propose changes wherever necessary. Weak points and poor practices range from the use of perennial passwords and keeping old, unused accounts to poorly configured firewalls.
  • Install malware scanners and firewalls and configure them for maximal protection with minimal effect on network and system performance.
  • Implement regular security patches.
  • Conduct a regular inspection on security policy compliance as well as a review of the policies to see if they are up to date with the latest threats.
  • Keep an audit trail for future use in forensic activities.
  • Establish a risk management system.
  • Apply data encryption where necessary.
  • Implement a backup system to make sure that, in a worst case scenario, archived data is safe.
  • Propose data replication so as to mitigate the after effects of data loss and to ensure your company can proceed with ‘business as usual’.

Once we’ve worked with you to make all these happen, you’ll be able to sleep better.

Other defences we’re capable of putting up include:

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Saving Energy Step 5 – Bringing it together

We hope you have been enjoying our series of short posts regarding saving energy, so what we use we can sustain. We have tried to make a dry subject interesting. After you read this post please comment, and tell us how it went. We are in the environment together. As the man who wrote ?No Man is an Island? said, ?if a clod be washed away somewhere by the sea, Europe is the less? and Europe was his entire world.

The 4 Steps we wrote about previously have a multiplier effect when we harness them together

  1. Having a management system diffuses office politics and pins accountability in a way that not even a worm could wriggle
  2. This defines the boundaries for senior managers and empowers them to implement practical improvements with confidence
  3. The results feed back into lower energy bills: this convinces the organisation that more is possible
  4. This dream filters through all levels of the organisation, as a natural team forms to make work and home a better place.

None of this would be possible without measuring energy consumption throughout the process, converting this into meaningful analytics, and playing ?what-if? scenarios against each other to determine where to start.

The 5th Step to Energy Saving that brings the other four together can double the individual benefits as innovative power flows between them. The monetary savings are impressive and provide capital to go even further. Why not allow us to help you manage what we measure together.

ecoVaro turns your numbers into meaningful analytics, makes suggestions, and stays with you so we can quantify your savings as you make them. We should talk about this soon.

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Data Leakage Prevention – Protecting Sensitive Information

When DuPont lost $400 million in intellectual property, it wasn’t because a hacker from the other side of the world infiltrated their system. The information was simply stolen by a former employee. Alarmingly, data loss incidents are not always caused by deliberate actions.

A file containing personal information accidentally attached to an email and sent to multiple recipients; financial data stored in a USB pen drive, accidentally left in a restaurant; or bank account data of colleagues, inadvertently posted on a company website – these are also some of the everyday causes of data loss.

A report done by research company Infowatch regarding global data leaks in 2010 showed that there were actually more accidental data leaks in that year compared to intentional ones. Accidental leaks comprised 53%, while intentional leaks comprised 42% (the rest were unidentified).

But even if they ?only? happened accidentally, breach incidents like these can still be very costly. The tens of thousands of dollars that you could sometimes end up paying in civil penalties (as in the case when you lose other people?s personal information) can just be the beginning. More costly than this is the loss of customer and investor confidence. Once you lose those, you could consequently lose a considerable portion of your business.

Confidential information that may already be leaking out right under your nose

With all the data you collect, process, exchange, and store electronically every day, your IT system has surely now become a storehouse of sensitive information. Some of them, you may be even taking for granted.

But imagine what would happen if any of the following trade secrets fell into the wrong hands: marketing plans, confidential customer information, pricing data, product development strategies, business plans, supplier information, source codes, and employee salaries.

These are not the only kind of data that you should be worried about. You could also get into trouble if your sloppy IT security fails to protect employee or client personal information such as their names; social security numbers; drivers license numbers; or bank account numbers and credit/debit card numbers along with their corresponding PINs.

In some countries, you could face onerous data breach notification requirements and heavy fines when these kind of data are involved.

There are now more holes to plug

It’s not just the different varieties of sensitive electronic information that you have to worry about. Because these data can take on different forms, i.e. data-at-rest, data-in-motion, and data-at-the-endpoints, you also need to take aim at different areas in your IT system.

Sensitive information can be found ?at rest? in each of your employees? hard disks, in your servers, storage disks, and in off-site backup disks. They can also be found ?in motion? in email, instant messaging, social networking messaging, P2P file sharing, ftp, http, and so on.

That’s not all. Your highly mobile workforce may have already introduced yet another high-risk area into your system: data-at-the-endpoints. This includes USB flash-disks, laptops, portable hard disks, CDs, and even smartphones.

The main challenge of data leak prevention

Having been made aware of the various aspects of data leakage, have you already come to grips with the extent of the task at hand?

There are two major things you need to do here to prevent data leakage.

One, you need to identify what data you have that can be considered as sensitive/confidential information. Of course you have financial information and employee salaries in your files. But do you also store personally identifiable information? Do you have trade secrets that are stored in electronic form?

Two, you need to pinpoint their locations. Are they only on your hard disks and laptops? Or have they made their way to flash drives, CDs/DVDs, or portable HDDs? Are they being transmitted through email or any other file transfer media?

The reason why you need to know what your sensitive data are as well as where they are is because you would like all efforts of securing them to be as efficient and unobtrusive as possible.

Let’s say, as a way of protecting your data, you decide to implement encryption. Since encryption can consume a lot of storage space and significantly reduce performance, it may be impractical to encrypt your entire database or all your files. For the same reason, you wouldn’t want to encrypt every single email that you send.

Thus, the best way would be to encrypt only the data that really need encryption. But again, you need to know what data needs to be encrypted and where those data can be found. That alone is no simple task.

Not only will you need to deal with the data you already have, you will also have to worry about the data that will go through your systems during the course of your day-to-day transactions.

Identifying sensitive data as it enters or leaves your system, goes through your network, or gets stored in your file system or database, and then applying the necessary security actions should be done automatically and intelligently. Otherwise, you could end up spending on a lot of man-hours or, worse, wasting them on a lot of false positives and negatives.

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Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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