Read more: http://technet.microsoft.com/en-us/security/cc185712.aspx

Download now: http://www.microsoft.com/downloads/details.aspx?FamilyId=CD057D9D-86B9-4E35-9733-7ACB0B2A3CA1&displaylang=en

Take a few moments and give yourself a security checkup. If you have any comments or feedback on the tool, feel free to leave them here on my blog—I’ll make sure the right people see it.

From the download page:

The MSAT employs a holistic approach to measuring your security posture by covering topics across people, process, and technology. Findings are coupled with prescriptive guidance and recommended mitigation efforts, including links to more information for additional industry guidance. These resources may assist you in keeping you aware of specific tools and methods that can help change the security posture of your IT environment.

There are two assessments that define the Microsoft Security Assessment Tool:

• Business Risk Profile Assessment
• Defense in Depth Assessment (UPDATED)

The questions identified in the survey portion of the tool and the associated answers are derived from commonly accepted best practices around security, both general and specific. The questions and the recommendations that the tool offers are based on standards such as ISO 17799 and NIST-800.x, as well as recommendations and prescriptive guidance from Microsoft’s Trustworthy Computing Group and additional security resources valued in the industry.

After completing an Assessment, you will gain access to a detailed report of your results. You may also compare your results with those of your peers (by industry and company size), provided that you upload your results anonymously to the secure MSAT Web server. When you upload your data the application will simultaneously retrieve the most recent data available. To be able to provide this comparative data, we need customers such as you to upload their information. All information is kept strictly confidential and no personally identifiable information whatsoever will be sent.

Lots being written about the Cloud, most of it quite dark and gloomy.  In fact I’m surprised, that Hoff hasn’t got a preso spooled up called “The Toxic Cloud” or something similarly ominous for his next speaking tour.
That said, the Economist does a great job distilling the issue into a simple statement -

Cloud computing is a trade-off between sovereignty and efficiency.

Let me ask you -  if you had to put your money on one of those horses, considering your average profit-preoccupied business, which would it be?  I’d put my bottom dollar on the thoroughbred named “Cost Center Reduction”, to place.

WHO ARE WE TO STAND IN THE WAY OF “PROGRESS”?

I’m always fond of Jack’s rule that the role of information risk management boils down to three deceptively simple premises:

• Reduce Risk.
• Reduce Loss.
• Create Operational Efficiencies.

So it would seem antithetical to the charter of the Chief Security Officer to stand in the way of progress as embodied by “cloud computing” (not to mention dangerous to long-term job security).  And I think that this presents opportunities to discuss strategies for managing risk, strategies that aren’t too theoretical and have practical application (though actual “cloud” use by enterprises may be rare at this point).

ON RISK REDUCTION IN THE CLOUD (or, How To Learn From the Shortcomings of PCI DSS)

The good news is, there’s already a well-established model for managing the risk around outsourcing the processing of “confidential” information.  The bad news is, that model kinda sucks it.

The Payment Card Industry, known as the “PCI” or “meal ticket” to many in the industry, faced a similar problem with the introduction of GLBA.  As I see it (and I’m not at all close to the PCI, at all, so this is all just abstract soliloquy) the PCI had one of two choices when faced with the prospect of other people managing their sensitive information:

1. Accept the *massive* amount of GLBA risk their business creates and spend a TON of money to build out the infrastructure (both process and IT) to manage the consumer data themselves (in conjunction with the banks, of course) and never have it grace the computing systems of the retailer.  Or,
2. Transfer the GLBA risk down to the retailer and have them bear the majority of the risk (and cost of reducing risk to a level that might be tolerable to the US Government).

(Martin, you may recall our Twittering about PCI a while back.  This is the crux of my view on the subj.)

Now fortunately, the CSO’s of the world are going to be a little more “invested” in protecting the information they are stewards over, and unlike the PCI, will remain primarily responsible for the C, I, & A of the data in the Cloud.  The cool thing is, this actually presents a great opportunity to start building a meaningful model for co-management of risk!  In fact, we can take the PCI model of contractual risk transference but modify where it goes all wrong, and start working to create something better.  And we can start by euthanizing some faulty assumptions.

JUST HOW INFORMATIVE IS PCI DSS?

What might be the.greatest.mistake of the standards compliance mentality is the assumption of value for the past-state measurement.  That is, I believe that the CSO needs more than some “past-state” assurance in order to understand their risk.    If you look at the concept of “PCI compliance” it really is an examination of a past state of nature that is assumed to be relevant to current and future states.   Many people (myself included) are not at all convinced that this past-state is nearly as informative as those who mandate it’s measurement believe it to be.

That’s not to condemn past-state measurements as completely non-informative,  they most certainly are useful.  It’s just that no self-respecting CSO sleeps well because they were deemed “PCI compliant” 10 months ago.  They sleep well because they have good visibility into current-state information and confidence in their strategy concerning future-state (based on that visibility and the outcomes of sound IRM models).

MOVING PAST THE VULNERABILITY SCANNER INTO INTELLIGENCE AND WISDOM

So realizing this new importance (to me, at least) concerning visibility and IRM models, I’m lead to the conclusion that if we are to manage risk in the Cloud, we’ll have to move beyond “PCI Compliance” or the concept that some regular “audit” of controls in place at the host is all we need to understand our ability to manage risk.  No, the CSO must have good information concerning current and probable future states.   This is that “visibility” I spoke of above.  In fact, we’ll need significant amounts of piercing, transparent visibility.  And in order to gain that visibility, our insight into Cloud Risk Management must include significant provisions for understanding a joint ability to Prevent/Detect/Respond as well as provisions for managing the risk that one of the participants won’t provide that visibility or ability via SLA’s and penalties . These SLA’s must be expressed in measurable terms (more visibility), and those metrics must have their roots in the things that help understand how we manage risk (those aforementioned IRM models).

THE CLOUD COMPUTING SECURITY SILVER LINING (sorry couldn’t resist)

As I mentioned earlier, I do see an opportunity to create insight.  The need for visibility and IRM models would allow us to create a “guidance” if you’ll allow me to use the term.  Not a standard or a “best practice” to audit by, but simply a reference document that says “if you’re going to put information on somebody else’s systems and still hold some significant responsibility for that information, here’s the considerations, why they are considerations, and how you might go about collaborating on the management of risk”.

And I think that if we undertake this journey, there is going to be a lot of growth and risk management innovation along the way.  But keen insights into what it means to manage risk will be necessary, and secure and forthright collaboration will be of absolute importance.

I say that last bit because, if these pundits are right about the utility of a hosted computing model - the Cloud will happen regardless of the CSO’s ability or desire to manage it.

• Devices: These are the hardware and operating system combinations that host or store the execution environment.
• Applications: Applications execute on host environments (devices + OS) and transform data into information useful for the business.
• Data: Digital representation of information that is acted upon by applications.
• Networks: Enable collaboration and the sharing of information across multiple devices and/or applications.

When a data owner's (a business) sensitive data is breached it is difficult to quantify the monetary loss. According to respectable survey sources, the average cost of sensitive data breach for a large size company is about $50,000. I am attempting here to think about this in simple mathametical terms:

There is a data breach. From the data owner's perspective the loss is:

Loss = Cost to protect data + Loss of business due to data theft aka cost of competitive disadvantage

From the data thief's perspective

Net Gain= [Cost of producing the data  *  Data freshness factor] - Cost to steal the data + Profit of business due to data aka gain of competitive advantage

From the above two equations it is very clear that this is not a zero sum game. There is a clear cost asymmetry for a data owner and for a data thief. When there is an asymmetry there is an opportunity. Data owner would not even know that the data is lost because the original copy of the data may be still intact - data thief could have simply copied the data. Data theft does not look like a car theft, there is no vacuum left behind. 

This motivates a data thief to keep the cost to steal low, steal highly valuable data that has a long shelf life and in a way that data owner will never even be aware of theft.

From a data thief's perspective, the cost to steal data if kept high would disincentive him. Moreover, Data freshness factor, i.e. how valuable this data is over period of time plays an important role. A good example is content of today's newspaper is hardly valuable tomorrow, but the content of newspaper two days ahead (if can be procured)would be invaluable. Data relevance is a function of time and other marketplace variables -  Data freshness Factor accounts for that variable. A good way to discourage data thief is to increase his/her cost to steal the data. There are other inferences from the above equation. If there exists no competitive advantage with the stolen data, hardly any thief would even venture to steal the data in the first place. If the cost of producing data is very low, then probably thief can just produce the data himself and would not attempt to steal the data. If the cost of theft is kept high, it would definitely deter the data thief from stealing data using technical mechanisms, then the data thief would exploit weak links in data security such as use of social engineering to get access to the data.

From data owner perspective protecting data becomes very important. How much would the owner be willing to spend? Not definitely the cost equal to cost of producing the data. 1% to 10% of cost of producing data is considered prudent. For a data owner it is difficult to estimate cost of data protection of a specific data, because it is not easy to chunkify data protection costs. Moreover, as Dan Geer says in his book, a data owner has to protect himself from number of intruders not just one.

It pays for a data owner to: be aware of data breaches (or data leaks), employ appropriate mechanisms to protect the data; the cost of protection which is fractional cost of the valuable data and enhance information security awareness of personnel who handle the data.

Data loss is not a zero sum game. The advantage is in favor of a data thief (data thieves rather). Data owner does not give much thought on the value of data unless there is a data theft. But, a data thief has every reason to think about economics of data theft before he acts to steal the data else data thief won't survive in this game and he is very well aware of his advantageous position.

Yesterday, they posted a terrific blog post about what they saw at Interop. Fortunately, ScienceLogic was one of the technologies that they highlighted from the show. I have written earlier posts about how difficult it has been to gain smart, insightful coverage for our solutions with technology media.

I have to say that they really got it! And it feels so good. We know that we have a bit of a hidden gem of a product here at ScienceLogic and will be working overtime in the coming months to take our business and products to a “Blue Ocean” environment that will shock and surprise many others in the media. However Sevick and Wetzel will be amongst the first to get a close-up on why and how we will deliver a new paradigm to this marketplace in 2009!

A few excerpts from their post:

“We noticed yet more specialty network management vendors, leading us to wonder how the market can support such a plethora of them, and we felt empathy for IT teams that have to master yet more interfaces.”

“Application performance management and application acceleration vendors were well represented. Such products play well in today’s climate because they allow enterprises to get the most out of existing IT investments instead of buying more “stuff”. One particularly interesting vendor we talked to was ScienceLogic. They are integrating IT infrastructure and application monitoring into a single, not-very-expensive platform that will serve mainstream business well. This is smart, and we predict they will give the CA’s, BMC’s, HP’s and IBM’s of the world a run for their money.”

Check out the blog post here and keep App Performance View on your radar..

“Complex Event Processing (CEP) is a technology which has been used for many years in the Aerospace and Defence Industry for Situational Awareness and Data Fusion modules in Command, Control, Communications, Computing and Intelligence Systems (aka C4I).

Currently CEP is being rediscovered as a foundation for new class of extremely effective Business Intelligence, Security and System/Network/SCADA Monitoring solutions in industries like Financial Services, Telecommunications, Oil and Gas, Manufacturing, Logistics etc. The increasing connectivity and processing power of the modern IT and Telecom technologies lead to increasing speed and volume of the dataflow available to the organisations. By using CEP solutions companies can gain competitive advantage by achieving real-time situational awareness and tapping the information value that is hidden within the streams of real-time event data that are coming from a variety of sources such as enterprise applications, financial transactions, sensor networks and supply chains.”

Unfortunately, the author does not cite references in the paper.