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32 Posts tagged with the rosi tag
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Threat agents maintain the initiative and we respond to restore balance. The bad guys innovate, find exposures, and use technology which they can leverage to achieve their objectives.  They take the first step, set the tempo, and lead this wicked dance.  The security industry normally operates in a responsive manner, closing the door behind successful attacks to prevent further loss and scrambling to prepare for the next issue.  But every once in a while, the security community comes up with a predictive and proactive idea which has sweeping effects against attackers and their future likely methods, and we show true leadership in innovation.

 

These golden nuggets can change the initiative and give an advantage to the defenders. Sadly, it is rare.  In most instances it is difficult to justify expenditures for capabilities which may or may not interdict future potential attacks.  Our industry cannot confidently measure and substantiate such innovation to determine which will leapfrog us ahead of the bad guys and those which fail miserably.  Without clear value, those holding the purse strings are not very motivated to blindly invest.  It reverts back to the age old security problem of measuring attacks which are avoided.

 

How will we ever change our industry to support security taking back the initiative?  First we must devise a good way of measuring innovation.  We have much better metrics for how good the bad guys succeed, and are blind on how to measure the value of security ideas.  This must change in order to facilitate the financial support necessary for investment.  The value is there, we must adjust our focus to see the opportunity.  Otherwise, the enemy will maintain the advantage as we continue to follow behind the attackers, cleaning up messes, and forever responding to their ingenuity.

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Russell C Thomas delivers a great post on How to Value Digital Assets.  It covers many basics and more importantly gives a good direction to take while spotlighting common pitfalls in the valuation journey.


“This tutorial article presents one method aimed at helping line-of-business managers (”business owners” of digital assets) make economically rational decisions.  It’s somewhat simplistic, but it does take some time and effort.    Yet it should be feasable for most organizations if you really care about getting good answers.  Warning: No simple spreadsheet formulas will do the job.  Resist the temptation to put together magic valuation formulas based on traffic, unique visits, etc.”

 

Definitely a good read for anyone wondering where to start the valuation process.  I especially like the Three Principles section.  He makes a logical separation between assets which provide direct revenue (Class 1) and those which are in a support function (Class 2).

 

As follow-on, I believe some other aspects may be covered under the Class 2 section including liability avoidance, direct efficiency gain, life safety, and regulatory compliance.  In certain cases we must apply a different method to determine the value, outside what has been explained.  As management may be willing to replace or upgrade, but typically such investments must have a positive ROI, therefore they provide much more value than the replacement/repair costs.

 

Years ago I had a stimulating conversation with the late (and some would say infamous) Dr. Bill Hancock.  Bill had trudged through the information security swamps for decades and had a unique insight to valuations of vulnerable systems, particularly single-points-of-critical-failure.  He recanted his experience evaluating an airline’s security and discovery of a minor system which was largely ignored, a weights and balances server.  Apparently when planes take off, the distribution of weight must be calculated to insure they don’t become giant ‘lawn darts’ (Bill’s colorful description) at the end of the airfield.  A data integrity compromise of this system could cause catastrophic consequences, leading to the end of the business.  Who would fly on an airline which had several take-off crashes in a single day?  It would be the critical factor to likely cause the airline to no longer exist as a viable business.  Although this was a support system, the integral value was far beyond the cost of the equipment, software, and support.

 

Secondly, the blog is written with the assumption the assets are already in place.  Thus, in a perfect world, a proper ROI/justification has already been made to assist the decision to acquire and land these assets.  But what if a decision to purchase or not, is the objective?  The Class 2 method then becomes circular.  The value is the expenditure management is willing to invest?  How do they know?

 

Overall it is a great blog.  I think it would be helpful if the author could give an example for a medium sized enterprise, with particular focus on Class 2 areas (specifically security or safety assets).  Hopefully he is willing to post such details.

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With a painful taste of irony, it was recently reported that the Ministry of Defense's (MoD) manual explaining how to prevent leaks, was itself leaked. 

Source: The telegraph.co.uk

 

"The Defense Manual of Security is intended to help MoD, armed forces and intelligence personnel maintain information security in the face of hackers, journalists, foreign spies and others.  But the 2,400-page restricted document has found its way on to Wikileaks, a website that publishes anonymous leaks of sensitive information from organizations including governments, corporations and religions."

 

Is this a fluke or is the world suffering from abhorrent information security practices, culture, and capabilities? 

 

YES, the world is terrible at securing data!  Yes, you and I are part of the problem!  Yes it can be fixed, but it is unlikely unless dramatic steps are taken!

To hear my full rant and opinions, check out my blog/video "It is Time for a Data Security Revolution!"

Is data security really that bad?  What do you think?  Don't be shy.  YOUR data is at risk too.

 

 

 

It is Time for a Data Security Revolution!

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Telescope.jpgRisk metrics are the heart and soul of information security indicators.  An increasing proliferation of tools and assessments has emerged, attempting to quantify states of information security.  Given the nature of what is trying to be measured, this is arguably one of the toughest challenges in the metrics space.  The recent trend is for different bodies to develop and publish their own standards, which creates confusion regarding accuracy and applicability.  Why all the turmoil, competing models, and misalignment?  The sad story is (queue the somber violins) we just have not figured out how to measure information security risks very well.

 

I have seen and applied many different methods, audits, and evaluations with varying degrees of success and disappointment.  I have come to the following three basic conclusions:

  1. Current tools and methods lack maturity in this area, for both accuracy and comprehensiveness (and yes, I am guilty of contributing to the pool)
  2. No silver bullet exists.  A unified method, which provides a predictive overarching and detailed risk analysis, is unlikely.  Different approaches have their applicability.  Choose wisely 
  3. There is no replacement for a security professional’s brain.  From the selection of the analysis method, the gathering of relevant data, to the interpretation of the results, requires a seasoned security professional.  There is no substitute which can handle the ambiguity, chaos, and relational dependencies affecting the outcome


An example will help express some of the challenges.  The OCTAVE methodology, created by Carnegie Mellon University some years ago has been battle tested veteran in this role.  It is a qualitative to quantitative device which leverages the expertise of key people to give a numerical value of risk in their respective area.  Because personal bias and fears, the need to allow flexible ways of answering questions, and the varying degrees of base knowledge between the experts, results can vary greatly without even factoring in the changes occurring in the threat landscape.

 

Let me be clear, I am a fan and a longtime supporter.  However, it has its limitations.  I have developed several assessments based upon the model in a large environment.  As long as the limitations are accepted, it is applied where it leverages its strengths, and the process is rolled out properly, the results can be very valuable.

 

But don’t confuse value with precision.  I have observed the accuracy to be +/- 40% in complex organizations.  I believe this is largely due to multiple tiers of qualitative-to-quantitative analysis and the bias introduced at each level.  Credible sources have expressed a better +/- 20% accuracy for smaller implementations.  Although these numbers sound terrible, it is very good compared to other methods.  I have great respect for the chaps at Carnegie Mellon University who created the methodology.  Groups within our company have used a modified form of this approach, with advanced structures tailored to our computing ecosystem, for years with great success.  The low accuracy rate is not a poor reflection on the CMU model, rather it is a stark insight on how immature we are in this field.

 

So this is a sad story, but one which is not over.  A cadre of very bright people is working to tackle this problem.  In the short term, I expect to see many more methods, theories, templates, and standards emerge for specific situations.  In the end, I doubt if ever we will have a unified way to measure security risks, but I hold high hopes the best will be culled to a small number which can be applied to most situations and deliver reasonable metrics.

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Measuring the Return on Investment (ROI) of information security is challenging but not impossible.  It is important to understand the necessary components and how they interrelate.  In this brief video, I discuss one way of expressing value in relation to the positive impacts of security spending.

 

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Video Length: 3:26 minutes

 

This video provides a high level explanation.  For more information regarding the challenges of information security ROI, please take a look at the following links:

The Problem of Measuring Information Security

How Security Programs Reduce Loss

Whitepaper - Measuring the Return on IT Security Investments

BlogTalk Radio Discussion - The Problem of Measuring Security

BlogTalk Radio Discussion - Return on Security Investment – Intel Case Study

The Four Dirty Questions of Measuring Information Security

The Four Dirty Questions of Measuring Information Security

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I was recently trading thoughts with Anton Chuvakin, a respected security metrics professional, in a philosophical discussion of perfection and quality of security.  Admittedly, I was on auto-pilot (operating without the benefit of coffee) rattling away with my ‘Optimal Security’ rhetoric, when Anton posed two thought provoking questions: CAN one "mandate optimal security"?  How do you "mandate flexible"?

 

I was stopped in my tracks.  This got me thinking.  After fetching a tall cup of coffee to start my brain juices flowing in earnest, I reached back into the pages of history to come up with the following perspective and examples:

 

I believe, to a certain extent, we can mandate flexibility and optimization.  Surely we can act in ways which deny both.  So why can’t we act in a manner which intrinsically promotes them?

 

I think back to lessons of WWII and the Maginot line.  The French chose to create a fortification which was static by design and lacked mobility or a capability to adapt to changing enemy tactics.  They invested heavily into this control, which became the backbone of their country's eastern defense.  It was an appalling failure.  Alternatively, the German blitzkrieg, and the stratagems of both Rommel and Patton prevailed.  Flexibility through mobility was far more effective than an elaborate static defense.

 

I would argue that flexibility can be mandated through proper planning and design.  We have examples in the history of information security.  In the early years of Anti-Virus (AV) products, they were non-memory resident applications which were prescribed to be run once a week.  Updates were a rarity if at all.  That rigid design quickly lost effectiveness, with the rise in velocity of new malware.  AV vendors were forced to adapt.  The overall design has changed to one which is flexible, can be updated to meet emerging malware, and continuously runs in the background to provide persistent security.

 

Rigid security postures lack the ability to remain effective over time and are likely derived by an equally rigid infrastructure which will struggle to adapt to new threats and changes within the organization.  Create security to be flexible and you enable the service to keep up with the continual changes.

 

In general, design a system to be flexible and its longevity for effectiveness is extended.  Plan how systems can continuously adjust itself to align to what is 'optimal' and you increase the sustaining efficiency.

 

We must be strategic in our planning and design of security, lest we suffer the fate of France's Maginot line.

 


Check out Anton’s Blog for other thought provoking viewpoints; just be sure to have your coffee at the ready.

More on “Optimal security”:

Information Security Defense In Depth Whitepaper is Now Available

Fortune Cookie Security Advice - June 2008

The Four Dirty Questions of Measuring Information Security

Defense In Depth Strategy Optimizes Security

The Four Dirty Questions of Measuring Information Security


What are your thoughts?  Rigid or Fluid?  Have you implemented optimal and flexible?

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Optimal security must not only be attained, but also sustained over time.  A good security strategy must be forward thinking to understand how intervention and continual maintenance will be needed, then implement those capabilities as part of a complete service deployment.

 

Balance.gif

'Optimal Security' is the right balance of security spending and losses prevented where business acceptable losses are achieved.  It changes often and likely maintains different targets for the dissimilar parts of the entity.

 

Organizations are likely to mandate security expectations which typically manifests in a set of configurations, specifications, and operating standards.  The risk is these security controls may be relatively static and entrenched.

 

Establishing a baseline security is a good practice, but in order to remain effective it must adapt to changes in the environment by remaining dynamic to keep in lock-step with rapidly changing threats, vulnerabilities, and resulting exposures.  It must be a fluid posture, able to rapidly change based upon different internal priorities and external changes.  Sustaining business structure must be designed to continually predict areas needing modification and support design and deployment of those changes.  Rigid security postures lack the ability to remain effective over time and are likely derived by an equally rigid infrastructure which will struggle to adapt to new threats and changes within the organization.  Design security to be flexible and you enable the service to keep up with the continual changes in the information branch of security.

 

I recently spoke with an organization who had established a security posture which relied heavily on a hardened OS and application build for their systems.  At the time, they deployed a platform which took into consideration all the best configurations for hardening.  They were so confident they had satisfied security requirements they considered the problem solved.  They integrated the security design into their normal platform refresh cycle of system replacement every few years.  They never comprehended the fact they would need to continually update the build to compensate for changes in threats, new vulnerabilities and malware, and evolving business usage models.

 

The platform’s security, which initially was strong, began to quickly erode.  With no internal mechanism to identify when changes needed to be made, nor the testing and distribution capability, they soon found themselves in a situation where they were responding to individual incidents and changing systems one at a time based upon particular end-user needs.  This created inconsistencies in the builds which was more difficult to support.  Without proper forethought, the security team turned themselves into a firefighting organization, losing the initiative in the war of security.

 

This is one simple technical example.  The same holds true for the expanse of automated solutions and behavioral security controls as well.  Highly effective and efficient security strategies are forward thinking and understand how intervention and continual maintenance will be needed, then implement those capabilities as part of a complete service deployment.  Overall, the concept of ‘optimal security’ is one of fluid adaptations of controls to meet an ever changing target for risk acceptance.

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Is the value of patch management decreasing?  Some experts say, due to a rise in privately held vulnerabilities, the value of patch management is eroding.  Others feel patching is losing the race and becoming too little and too late with the rapid development of attackers.  I too have chimed in on the topic and stated patching all vulnerabilities is not economical, as most are never widely exploited.  But does this mean we should be looking at alternate paths, away from patch management?  I stand firm in support of the end-node update concept, but take a slightly different view of the scope and value.

 

I see ‘patch management’ as the strategic capability of managing end nodes.  I consider the delivery of ‘patches’ as a broad term which includes OS, application, and hardware BIOS upgrades which can benefit the security posture of the device.  This includes and is akin to the widely accepted delivery of security product updates for anti-virus, anti-spyware, firewalls, etc.  Some of which are updated daily.

 

Attacks are constantly changing.  They normally take advantage of poor coding practices, use design functionality in unintended ways, or exploit avenues to misguided end-user judgment.  The ability to update systems is crucial to maintain security equilibrium.  It is a support function for systems to adapt to new threats.  This capability has a multitude of benefits, both strategic and tactical.  Being able to reach out to systems allows for a better understanding of the number, type, and usage of systems in the environment.  An effective system can paint a picture of systems at risk.  It is a sweeping means to close identified vulnerabilities in deployed code, which can reduce the exposure surface.  It can be used to respond to compromises and drive clean-up activities.  Such services can raise the general security level of a community and may drive to a more homogenous security stance, which strongly lends towards efficiency.

 

Mapping ‘patch management’ against a defense-in-depth model shows it allows for Prevention of exposure to known vulnerabilities where patches exist.  It can provide Detection capabilities to improve alerting of attempted as well as successful attacks.  Once systems are compromised, this Response function aids in the restoration of services back to a norm state.  The combination of indicators generated in these areas may assist in efficiency improvements and be used to comprehend future trends, therefore providing a potential Prediction opportunity

 

Overall, actively managing end-node security via ‘patch management’ is very important.  I doubt any serious security professional is advocating turning off all patch or remote system security updates.  The value may vary over time and across different systems, but we have a lot of control in how this capability evolves and the value it returns.  We are empowered to maximize the return on investment.

 

The question still remains, from a measures and metrics perspective, how best can we show and quantify the benefits, efficiency, and value.  The industry as a whole has yet been able to adequately or consistently tackle this challenge.  That discussion is fodder for another blog.

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Choosing the right method to measure security value is important but not necessarily intuitive.

 

Some years ago, at the prodding of our department training expert, I developed a class teaching how to think critically while calculating information security value.  The benefits of the course are twofold.  The class helps security practitioners in creating more justifiable value assessments for their programs.  Additionally, it assists audiences of such assessments to question the validity and identify weak justifications.

 

I offered to teach the class once a year, internally to Intel, and figured the audience would dry up after the first class.  For some odd reason people continued to sign up year after year.  I honestly figured not many people would willingly choose to spend their time on such a dry subject.  In the first year, mostly information security professionals attended.  In subsequent years, to my surprise, a slew of people from finance, manufacturing, marketing, and product development have taken the course.  Sitting in my Inbox is my annual notification for instructing the class, with a list of students from multiple countries already signed up.  Curse you Bruce (training expert)!

 

With such a diverse audience, I figured I would share some of the materials with the broader community.  This is just a snippet, but one of the key chapters.  Feel free to comment (all comments will be forwarded to Bruce)

 

This section of the class touches on recommended methods to show value.  This is not an all encompassing list, but probably the most common to information security programs.  These are archetypes of measurement techniques, not specific questions or audits.  Most techniques in use today can be classified into one of these archetypes.  Each has a set of common characteristics with strengths, weaknesses, and applicability considerations.  Knowing these characteristics is to understand how best to validate or challenge the metric.

 

Information Security Metrics Archetypes

#1 Metric Type: Standards-Based Gap Analysis

Method: Compare the current state against a provided list
Measurement Scale: Nominal
Pro’s: Shows gaps against defined standards.  Can be very fast to accomplish, compared to other methods
Con’s: Does not show actual value, only alignment to a defined state
Applicability: Compliance to regulations, alignment to best-known-methods
Output: Scorecard to expected compliance, gap list of non-compliant areas
Notes: The value of compliance to a predefined standard resides in the applicability and comprehensiveness of the standard itself.  Typically, it is also specific to a particular area of risk.  Interpretation also can skew measures, if the standard is vague.

 

#2 Metric Type: Raw Gap Analysis

Method: Brainstorm from knowledgeable persons on what they think needs fixing
Measurement Scale: Nominal
Pro’s: Identifies the most apparent issues to correct.  May be as simple or complex as the organizer desires.
Con’s: Reliant on expertise of teams doing the analysis.  Not tied to any quantifiable savings.
Applicability: Response to incidents which already occurred, to prevent recurrence
Output: List of issues to correct
Notes: The value resides in the knowledge of the people conducting the analysis.  A mix of technologists as well as security is best, otherwise the output may lack real benefits


#3 Metric Type: Project Progress Tracking

Method: Metrics which track the start-to-finish progress of a security project
Measurement Scale: Interval
Pro’s: Shows advancement and progress of a project
Con’s: Does not tie the project to any savings or benefits
Applicability: Project management effectiveness
Output: Performance against schedule/budget metrics
Notes: This class of metric is often misused.  Progress of project completion is largely independent of what value it provides once instituted.  This can be used when a security project is a critical path item to another initiative where value is defined.


#4 Metric Type: Qualitative Risk Assessment

Method: Organized collection of concerns from knowledgeable persons on what they believe needs fixing and an explanation statement of the severity of the problems
Measurement Scale: Ordinal
Pro’s: Generates a list of areas to address with prioritized descriptions
Con’s: Reliant on the expertise of teams doing the analysis. Not tied to any quantifiable savings.  Can be time consuming.  May not be comprehensive.  May be skewed to only areas evaluated.  Personalities of the team may significantly alter the priority descriptions of items.
Applicability: Basic state of security gap analysis, scalable to an entire organization.
Output: Description of prioritized line-item gaps
Notes: This is one step above the Raw Gap Analysis method.  Best use is to identify and describe the priority of the most severe issues.  Rarely is this method comprehensive.


#5 Metric Type: Qualitative to Quantitative Risk Assessment

Method: Formal severity ranking, typically on a scale, of problems gathered from a Qualitative Risk exercise
Measurement Scale: Ordinal to Interval
Pro’s: Generates a prioritized list of areas to address, with relative values for comparison.  Can track over time to show incremental changes.
Con’s: Reliant on expertise of teams doing the analysis.  Relative values are not tied to any quantifiable savings.  Time consuming, requires tools for scalability.  Expect +/- 40% accuracy
Applicability: Advanced state of security gap analysis, scalable to an entire organization.
Output: Ranked descriptions of line-item gaps
Notes: This is one step more advanced from the Qualitative Risk assessment, giving numerical values to priority aspects (example: threat, vulnerability, consequences, etc.)


#6 Metric Type: Vulnerability Analysis

Method: Thorough inspection which documents all vulnerabilities
Measurement Scale: Interval
Pro’s: Identifies a list of vulnerabilities which exist
Con’s: Existence of vulnerabilities is not tied to losses.  Output can be overwhelming and underscores only a snap-shot in time of a rapidly changing environment.  Can be very time consuming, requires tools and interpretation.
Applicability: Applied to specific hardening initiatives or fed into a risk assessment
Output: Descriptions of potential vulnerabilities, may be ranked on severity or overall exposure
Notes: Vulnerability analysis poorly correlates to losses.  Just because a vulnerability exists, does not mean it will be exploited.  If exploited, it does not necessarily equate to a meaningful loss.  Question any vulnerability analysis, which claims specific dollar savings!


#7 Metric Type: Against Previous Performance/Operational Efficiency

Method: Statistical comparison against historical data, known costs, and trends (example: actuary tables)
Measurement Scale: Interval to Ratio
Pro’s: Uses actual data to derive the measurement.  Can show the value of a program.  Can be used to both predict value as well as derive sustaining value after project landing.
Con’s: Accuracy may suffer as historical patterns change.  Significant work to accomplish this metric.  Accuracy may be outdated quickly as the environment changes quickly.
Applicability: Before and after comparison of effects for value measurements.
Output: Historical performance and trend graphs showing relative positions.  Net Present Value (NPV) for operational spending.  Forecasts of high-level changes to risk.  Can provide a ‘value’ in terms of dollars.
Notes: Depending upon the historical data, it may not tie to actual security value.  Data trends in the security field tend to be incomplete, limited, and can be manipulated.  Operations costs may not reflect the benefit of security.  Best when used to compare data prior and after landing a security program.


#8 Metric Type: Value Calculation for a Return on Security Investment

Method: Financial model quantifying the dollar benefits of a security program
Measurement Scale: Interval to Ratio
Pro’s: Uses actual data to derive the measurement, based upon trends and control groups.  Potential to generate dollar values derived for both losses and loss prevented.  May comprehend defense-in-depth solutions, showing the individual as well as cumulative value.  Statistical predictions quantify accuracy
Con’s: Extremely difficult to produce.  Must have significant amounts of accurate data and understanding of the security environment.  Must use complex calculations and factor in unknowns.  Very difficult to scale.  Tools and processes are not well defined or mature in the industry.
Applicability: When sufficient historical data is available, an intuitive understanding of the security environment is present, and business values can be measured.  For use when justifiable estimates of dollar value of a security program is needed.
Output: Incident reduction metrics, estimated losses, and loss prevented metrics.  Single Loss Expectancy (SLE), incident and loss predictions.  Derived dollar value of individual security projects as well the value for multiple overlapping/complementary security systems.
Notes: Not for the faint of heart.  These types of analysis are ugly monsters to produce and validate.  All assumptions, calculations, and data sources must be documented.  Complete raw data sets must be provided.   May include limited aspects of other measurement archetypes to fill in gaps, thereby affecting accuracy.

 

 

Lastly, there is another choice which can be made: the decision to not measure the value of a security program.  I think this option is pursued more often than not and done for the entirely wrong reasons.  Measuring value is not easy.  It consumes time, resources, requires expertise, and once it is published the author may be under the spotlight to answer and justify the analysis for years to come.  But for all the sweat, tears, and pain, having a good understanding of the value, has merit for security programs of significant investment.

 

On the other hand, the simple reality is that in many cases a full blown analysis does not make sense.  For example, when a program is required to meet regulatory requirements or when the security investment is very small.  I would not do a comprehensive value assessment for justification to purchase a $10 cable lock.  Let common sense prevail.  If the value must be understood to compare to other options, articulate security posture, or justify spending, then do an assessment.  Otherwise, ask yourself if it is really needed.

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Most security programs show value by either reducing the number of incident occurrences or reducing the impact of those incidents.Understanding where a program draws its value and how it fits in a defense-in-depth strategy, gives insights to where it can be maximized for optimal benefit and raise flags when expectations are mismatched with function.

 

Occurrence and Impact

Simply put, security incidents happen and they cause discomfort. Effective programs will either affect the number of times they occur and/or will lessen the negative impact. These aspects of Occurrence and Impact are important when we look at the complexities of measuring security value in the real world. It is a basic first step, but this type of framing establishes boundaries and clarifies expectations.

 

Once understood, it may be possible to measure the effectiveness to a level which determines general value and applicability. It can paint an important piece of the picture showing how the collection of security programs provides coverage to the landscape of attacks. Additionally, the big picture can identify inefficient duplications of security services.

 

Do all security programs manifest value in this way? No. Some efforts are tailored to meet regulatory, ethical, or emotional needs. For those types of initiatives, this general framework has limited applicability to measure value.

 

Intersection of Defense-in-Depth

The diagram below is an overlay of the Occurrence/Impact domains with the Defense-in-Depth categories as they intersect a typical attack lifecycle.Mapping security capabilities, tools, and services will show coverage and gaps for different types of attacks.

 

How Security Programs Reduce Losses from Cyber Attacks1.jpg

 

Defense in Depth Information Security Strategy

Information Security Defense In Depth Whitepaper is Now Available

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Everyone wants information security to be easy. Wouldn't it be nice if it were simple enough to fit snugly inside a fortune cookie? Well, although I don't try to promote such foolish nonsense, I do on occasion pass on readily digestible nuggets to reinforce security principles and get people thinking how security applies to their environment.

 

Common Sense

I think the key to fortune cookie advice is ‘common sense' in the context of security. It must be simple, succinct, and make sense to everyone, while conveying important security aspects.

 

Here is my Fortune Cookie advice for November:

 

When it comes to employees and how securely they use their system, "trust, but verify".

 

We give them tools, harden their software, teach them good security practices, and reward them for safe behaviors. But end users may still cause great harm to their computers and more severely, the organizations data, systems, and operations. Trust must exist, but every security pro worth his salt, is paranoid with good reason.

 

It is not practical to wall out our own users. Some level of trust must exist. I believe the right balance for most organizations which maintain mature foundational controls, is to “trust, but verify”.

 

Made famous by former US President, Ronald Reagan, this quote was applied to situations where another party possesses the capability to do harm but agrees to refrain, for the greater good. Trust they will act appropriately, but maintain diligence to validate.

 

In the information security world, we too can strike the balance of security and functionality by allowing end users access to do their work effectively, while maintaining verification controls to insure they are not causing themselves or others unacceptable harm. This is no substitute to good training, security awareness, security tools, etc. as part of preventing undesirable events. But detection capabilities are a key element to a good defense in depth security program, which can allow more of a tradeoff between risk and productivity.

 

 

 

 

 

So am I contributing to the problem of over simplifying security? Or am I reaching out to those who might not take an inordinate amount of time necessary to understand the complexities and nuances of our industry? You decide and feel free to share your knowledge-nuggets.

 

 

 

Information Security Defense In Depth Whitepaper is Now Available

 

 

Fortune Cookie Security Advice - September 2008

 

 

Fortune Cookie Security Advice - August 2008

 

 

Fortune Cookie Security Advice - June 2008

 

 

Fortune Cookie Security Advice - May 2008

 

 

Deconstructing Cyber Security Attacks - Threat Model

 

 

Defense in Depth Information Security Strategy

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Everyone wants information security to be easy. Wouldn't it be nice if it were simple enough to fit snugly inside a fortune cookie? Well, although I don't try to promote such foolish nonsense, I do on occasion pass on readily digestible nuggets to reinforce security principles and get people thinking how security applies to their environment.

 

Common Sense

I think the key to fortune cookie advice is ‘common sense' in the context of security. It must be simple, succinct, and make sense to everyone, while conveying important security aspects.

 

Here is my Fortune Cookie advice for September:

 

In information security, like in sports, knowing your adversary is far more important than knowing the condition of the field.

 

 

 

 

Information security is an adversarial pursuit. It all begins with threat agents, those people who will negatively affect your organization. Some are malicious, others are not. The key is they are living, breathing opponents whose motivations drive actions which cause loss. They learn, adapt, and change as they seek their objectives.

 

Know your threats. This is an important first step. Knowing all your vulnerabilities is fine, but secondary in importance.

 

For those who are malicious, understand what they target and the likely methods they will employ. Only then can the vulnerabilities be narrowed to show the most probable exposures. This prediction gives the security professional a focus on what to protect, how best to monitor, and preparations necessary to respond when needed.

 

 

 

So am I contributing to the problem of over simplifying security? Or am I reaching out to those who might not take an inordinate amount of time necessary to understand the complexities and nuances of our industry? You decide and feel free to share your knowledge-nuggets.

 

 

Fortune Cookie Security Advice - August 2008

 

 

Fortune Cookie Security Advice - June 2008

 

 

Fortune Cookie Security Advice - May 2008

 

 

Deconstructing Cyber Security Attacks - Threat Model

 

 

Defense in Depth Information Security Strategy

0 Comments Permalink
0

Everyone wants information security to be easy. Wouldn’t it be nice if it were simple enough to fit snugly inside a fortune cookie? Well, although I don’t try to promote such foolish nonsense, I do on occasion pass on readily digestible nuggets to reinforce security principles and get people thinking how security applies to their environment.

 

Common Sense

I think the key to fortune cookie advice is ‘common sense’ in the context of security. It must be simple, succinct, and make sense to everyone, while conveying important security aspects.

 

Here is my Fortune Cookie advice for August:

 

Security policy is like a seatbelt. It will not protect you every time, but it is guaranteed to fail if you choose not to use it.

 

No security policy is perfect. In fact, it should be a continuously evolving body of work which is improved as the industry changes and learns. The biggest challenge is not the exactness of the policies; rather it is the awareness and consistent adoption by the employees. An appropriate level of effort must be directed at the successful marketing and support by the target audience.

 

It may not be sexy, but policy can empower the Management support and maintenance of policy are key factors in leveraging this tool. Clear and straightforward verbiage coupled with sufficient marketing saturation can deliver necessary awareness to affect behaviors. With employee support of security principles, an organization takes a great step forward in achieving an optimal security posture.

 

 

So am I contributing to the problem of over simplifying security? Or am I reaching out to those who might not take an inordinate amount of time necessary to understand the complexities and nuances of our industry? You decide and feel free to share your knowledge-nuggets.

 

 

A Company’s Greatest Security Threat and Asset

 

 

Fortune Cookie Security Advice - June 2008

 

 

Fortune Cookie Security Advice - May 2008

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8

Recently, security expert Bruce Schneier expounded security ROI figures were meaningless! Is it true? Well, yes and no.

 

The brutal truth.

Well respected information security expert Bruce Schneier recently provided a stark opinion regarding the value of ROI's.

Follow this link to see the story:

http://www.zdnetasia.com/news/security/0,39044215,62037905,00.htm

 

 

 

In brief, Bruce stated security because numbers can be manipulated to justify anything.

He explained that the amount spent on a product can change significantly by simply playing with the equation.
"If the chance of you being attacked is one in a million and I change it to one in two million... I have halved the amount of money you should spend.
"I can make an ROI model say whatever I want. I could justify or not justify anything based on these very, very rare and very, very damaging events," he said.

 

Tell me it is not true!

I believe Bruce is both right and is delivering a message which is a little incomplete. His general message is accurate and shocking enough to garner the right level of attention. Most of the information security ROI's I have read were speculative, could not be validated, were impossible to reproduce, and had great latitude to provide results which benefit the desires of the author. Nowadays audiences are being provided ‘information' under the auspices of ‘fact', when in reality they are more of an opinion. Such valuation assessments are based on qualitative data versus quantitative metrics.

 

I blogged about the The Problem of Measuring Information Security back in August 2007

 

Awareness must be raised. I applaud Bruce in helping to make this happen. His message, as brutal as it sounds, is bringing to light a shadowy area in our industry. I think the follow-up message for audiences is to scrutinize and apply common sense to any ROI they come across. Understand the methodology and if it makes sense in their context. Lifting the curtain can quickly reveal a puppet master pulling the strings to artificially show value.

 

Like Bruce, I too have a jaded perspective. I have seen some WILD ROI's. Much of what I have read from security vendors is pure folly. However, just because most are fiction, it does not mean all methodologies are without merit.

 

Intel published a Whitepaper - Measuring the Return on IT Security Investments which is applicable to some situations. This method, far from being a silver-bullet, is a good start and has proven its truthfulness.

 

For any method, the accuracy should be scrutinized. Can it be validated, repeated? Was the method exclusively developed solely for self serving purposes from someone trying to sell something shiny? Does it make sense? These are the questions I ask myself.

 

On the bright side, many bright sharp people are working very hard to make the industry better and develop more rigid processes to insure both accuracy and confidence.

 

In the end, there is much work to be done in the information security valuation space. In the meanwhile, savvy consumers should be aware of the challenges and dive deeper into prospective ROI's and determine if they are ‘meaningless'.

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Everyone wants information security to be easy. Wouldn't it be nice if it were simple enough to fit snugly inside a fortune cookie? Well, although I don't try to promote such foolish nonsense, I do on occasion pass on readily digestible nuggets to reinforce security principles and get people thinking how security applies to their environment.

 

 

 

 

Common Sense

I think the key to fortune cookie advice is ‘common sense' in the context of security. It must be simple, succinct, and make sense to everyone, while conveying important security aspects.

 

 

 

Here is my Fortune Cookie advice for June:

A perfect security program does not make your environment invincible! It would be astronomically too expensive. The 'perfect' security program achieves the optimal balance of spending, loss prevented, and acceptable losses (residual loss).

 

 

 

Now if I can just figure out how to stuff these little cookies...

 

 

Am I contributing to the problem of over simplifying security? Or am I reaching out to those who might not take an inordinate amount of time necessary to understand the complexities and nuances of our industry? You decide and feel free to share your knowledge-nuggets.

 

 

Fortune Cookie Security Advice - May 2008

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