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October 24, 2012
I’ve spent the last 20 years analyzing the Information Technologies market. My work with vendors has ranged from developing business strategies and honing messaging to defining product requirements and identifying significant trends. My work with IT enterprise decision-makers has been to help define requirements, identify and evaluate alternatives, and recommend solutions, etc. We’ve always worked closely with our clients to understand first what they are trying to accomplish, then providing the advice, support and services that we believe will be most effective in achieving those goals.
October 23, 2012
In the spirit of the Washington Posts’ regular column, “5 Myths,” here we “challenge everything you think you know” about PCI-DSS Compliance.
1. One vendor and product will make us compliant
While many vendors offer an array of services and software which target PCI-DSS, no single vendor or product fully addresses all 12 of the PCI-DSS v2.0 requirements. Marketing departments often position offerings in such a manner as to give the impression of a “silver bullet.” The PCI Security Standards Council warns against reliance on a single product or vendor and urges a security strategy that focuses on the big picture.
2. Outsourcing card processing makes us compliant
Outsourcing may simplify payment card processing but does not provide automatic compliance. PCI-DSS also calls for policies and procedures to safeguard cardholder transactions and data processing when you receive them — for example, chargebacks or refunds. You should request an annual certificate of compliance from the vendor to ensure that their applications and terminals are compliant.
3. PCI is too hard, requires too much effort
The 12 requirements can seem difficult to understand and implement to merchants without a dedicated IT department, however these requirements are basic steps for good security. The standard offers the alternative of compensating controls, if needed. The market is awash with many products and services to help merchants achieve compliance. Also consider that the cost of non-compliance can often be higher, including fines, legal fees, lost business and reputation.
4. PCI requires us to hire a Qualified Security Assessor (QSA)
PCI-DSS offers the option of doing a self-assessment with officer sign-off if your merchant bank agrees. Most large retailers prefer to hire a QSA because they have complex environments, and QSAs provide valuable expertise including the use of compensating controls.
5. PCI compliance will make us more secure
Security exploits are non-stop and an ever escalating war between the bad and good guys. Achieving PCI-DSS compliance, while certainly a “brick in the wall” of your security posture, is only a snapshot in time. “Eternal vigilance is the price of liberty,” said Wendell Phillips.
October 17, 2012
If you could offer your IT Security team 100 times more data than they currently collect – every last log, every configuration, every single change made to every device in the entire enterprise at zero cost – would they be better off? Would your enterprise be more secure? Completely compliant? You already know the answer – not really, no. In fact, some compliance-focused customers tell us they would be worse off because of liability concerns (you had the data all along but neglected to use it to safeguard my privacy), and some security focused customers say it will actually make things worse because we have no processes to effectively manage such archives.
As Micheal Schrage noted, big data doesn’t inherently lead to better results. Organizations must grasp that being “big data-driven requires more qualified human judgment than cloud-based machine learning.” For big data to be meaningful, it has to be linked to a desirable business outcome, or else executives are just being impressed or intimidated by the bigness of the data set. For example, IBMs DeepQA project stores petabytes of data and was demonstrated by Watson, the successful Jeopardy playing machine – that is big data linked clearly to a desirable outcome.
In our corner of the woods, the desirable business outcomes are well understood. We want to keep bad guys out (malware, hackers), learn about the guys inside that have gone bad (insider threats), demonstrate continuous compliance, and of course do all this on a leaner, meaner budget.
Big data can be an embarrassment of riches if linked to such outcome. But note the emphasis on “qualified human judgment.” Absent this, big data may be just an embarrassment. This point underlines the core problem with SIEM – we can collect everything, but who has the time or rule-set to make the valuable stuff jump out? If you agree, consider a managed service. It’s a cost effective way to put big data to work in your enterprise today – clearly linked to a set of desirable outcomes.
October 10, 2012
The advent of the big data era means that analyzing large, messy, unstructured data will increasingly form part of everyone’s work. Managers and business analysts will often be called upon to conduct data-driven experiments, to interpret data, and to create innovative data-based products and services. To thrive in this world, many will require additional skills. In a new Avanade survey, more than 60 percent of respondents said their employees need to develop new skills to translate big data into insights and business value.
Ready and willing to experiment with your log and SIEM data? Managers and security analysts must be able to apply the principles of scientific experimentation to their log and SIEM data. They must know how to construct intelligent hypotheses. They also need to understand the principles of experimental testing and design, including population selection and sampling, in order to evaluate the validity of data analyses. As randomized testing and experimentation become more commonplace, a background in scientific experimental design will be particularly valued.
Adept at mathematical reasoning? How many of your IT staff today are really “numerate” — competent in the interpretation and use of numeric data? It’s a skill that’s going to become increasingly critical. IT Staff members don’t need to be statisticians, but they need to understand the proper usage of statistical methods. They should understand how to interpret data, metrics and the results of statistical models.
Able to see the big (data) picture? You might call this “data literacy,” or competence in finding, manipulating, managing, and interpreting data, including not just numbers but also text and images. Data literacy skills should be widespread within the IT function, and become an integral aspect of every function and activity.
Jeanne Harris blogging in the Harvard Business Review writes, “Tomorrow’s leaders need to ensure that their people have these skills, along with the culture, support and accountability to go with it. In addition, they must be comfortable leading organizations in which many employees, not just a handful of IT professionals and PhDs in statistics, are up to their necks in the complexities of analyzing large, unstructured and messy data.
“Ensuring that big data creates big value calls for a reskilling effort that is at least as much about fostering a data-driven mindset and analytical culture as it is about adopting new technology. Companies leading the revolution already have an experiment-focused, numerate, data-literate workforce.”
If this presents a challenge, then co-sourcing the function may be an option. The EventTracker Control Center here at Prism offers SIEM Simplified, a service where trained and expert IT staff perform the heavy lifting associated with big data analysis, as it relates to SIEM data. By removing the outliers and bringing patterns to your attention at greater efficiencies because of scale, focus and expertise, you can focus on the interpretation and associated actions.
October 03, 2012
1) Lust: Be not easily lured by the fun, sexy demo. It always looks fantastic when the sales guy is driving. How does it work when you drive? Better yet, on your data?
2) Gluttony: Know thy log volume. When thee consumeth mucho more raw logs than thou expected, thou shall pay and pay dearly. More SIEM budgets die from log gluttony than starvation.
3) Greed: Pure pursuit of perfect rules is perilous. Pick a problem you’re passionate about, craft monitoring, and only after it is clearly understood do you automate remediation.
4) Sloth: The lazy shall languish in obscurity. Toilers triumph. Use thy SIEM every day, acknowledge the incidents, review the log reports. Too hard? No time you say? Consider SIEM Simplified.
5) Wrath: Don’t get angry with the naysayers. Attack the problem instead. Remember “those who can, do; those who cannot, criticize.” Democrats: Yes we can v2.0.
6) Envy: Do not copy others blindly out of envy for their strategy. Account for your differences (but do emulate best practices).
7) Pride: Hubris kills. Humility has a power all its own. Don’t claim 100% compliance or security. Rather you have 80% coverage but at 20% cost and refining to get the rest. Republicans: So sayeth Ronald Reagan.
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