Prevoty Make Important Points

In a blog post published today, Prevoty make a couple of key points:

“Application security is a people and economics issue. Developers are experts at building value — not security. Security teams are experts at security, but not code development. It is inefficient to ask developers to be security experts and vice versa. On top of that, our market suffers from a draught of both developers and security practitioners. How do we bridge that gap?”

Prevoty, of course, are trying to sell their product.

But that should not make us shy away from the painful truth of the problems that we face. Focusing tightly on vulnerability, in the absence of the context and impact that help us assess risk, is a continuing mistake. Which is at least partly, in my very humble opinion, why “Security teams are experts at security, but not code development”, as Prevoty put it.

If security people continue to scream about “vulnerabilities in your code”, developers will continue to experience that shouting as noise that must be blocked out in favor of helpful information and productive interchange. Which leads to the corollary truism, “Developers are experts at building value — not security.” If security people are seen as some sort of distracting noise, how will developers ever gain enough insight and skill to produce secure designs, which are then securely coded? Short answer: they haven’t and won’t unless security people change the way that they approach the problem.

I’ve proposed “developer-centric security” as a mindset, because, though of course secure design and secure implementation are a technical problem, ultimately, as Prevoty point out, people and economics must be attended to.

Software security people might consider working for a while as a developer. My 15 years (or so) as a developer, designer, lead designer have profoundly influenced the way that I execute software security, the way that I build software security programs. Further, developers will listen to me because I can speak their language and because I understand their problems. This is not just true for me, but for many of the hundreds of security architects whom I’ve taught, coached, and mentored over the years.

Software security is an interaction between the building of software (development community) and the practice of digital security (security practitioners). Acting as though you’re a SWAT team parachuting into a war zone will not help! You are likely to get active resistance. Don’t do it.

Don’t walk in and declare to a hard working development team that they have made a million errors; nobody likes their baby to be shredded. Remember that without developers’ careful execution, you’ve got what we have: mountains of exploitable conditions actively being exploited for every purpose imaginable, and then some. Ergo, the current situation.

cheers,

/brook

Finally Making JGERR Available

Originally conceived when I was at Cisco, Just Good Enough Risk Rating (JGERR) is a lightweight risk rating approach that attempts to solve some of the problems articulated by Jack Jones’ Factor Analysis Of Information Risk (FAIR). FAIR is a “real” methodology; JGERR might be said to be FAIR’s “poor cousin”.

FAIR, while relatively straightforward, requires some study. Vinay Bansal and I needed something that could be taught in a short time and applied to the sorts of risk assessment moments that regularly occur when assessing a system to uncover the risk posture and to produced a threat model.

Our security architects at Cisco were (probably still are?) very busy people who have to make a series of fast risk ratings during each assessment. A busy architect might have to assess more than one system in a day. That meant that whatever approach we developed had to be fast and easily understandable.

Vinay and I were building on Catherine Nelson and Rakesh Bharania’s Rapid Risk spreadsheet. But it had arithmetic problems as well as did not have a clear separation of risk impact from those terms that will substitute for probability in a risk rating calculation. We had collected hundreds of Rapid Risk scores and we were dissatisfied with the collected results.

Vinay and I developed a new spreadsheet and a new scoring method which actively followed FAIR’s example by separating out terms that need to be thought of (and calculated) separately. Just Good Enough Risk Rating (JGERR) was born. This was about 2008, if I recall correctly?

In 2010, when I was on the steering committee for the SANS What Works in Security Architecture Summits (they are no longer offering these), one of Alan Paller’s ideas was to write a series of short works explaining successful security treatments for common problems. The concept was to model these on the short diagnostic and treatment booklets used by medical doctors to inform each other of standard approaches and techniques.

Michele Guel, Vinay, and myself wrote a few of these as the first offerings. The works were to be peer-reviewed by qualified security architects, which all of our early attempts were. The first “Smart Guide” was published to coincide with a Summit held in September of 2011. However, SANS Institute has apparently cancelled not only the Summit series, but also the Smart Guide idea. None of the guides seem to have been posted to the SANS online library.

Over the years, I’ve presented JGERR at various conferences and it is the basis for Chapter 4 of Securing Systems. Cisco has by now, collected hundreds of JGERR scores. I spoke to a Director who oversaw that programme a year or so ago, and she said that JGERR is still in use. I know that several companies have considered  and/or adapted JGERR for their use.

Still, the JGERR Smart Guide was never published. I’ve been asked for a copy many times over the years. So, I’m making JGERR available from here at brookschoenfield.com should anyone continue to have interest.

cheers,

/brook schoenfield

Everybody’s got a thing

Dateline, 3rd day, RSA-SF. For several years, as I stroll the expo, I’m reminded of the Stevie Wonder lyric, “Everyboy’s got a thing, but some don’t know how to handle it”. At some point as I work the edges where the new stuff lives, I unconsciously start to sing to myself. 

So much hype, “solve enterprise security”, but often the actual offering is a point product.
There do seem to be a lot of entrants into the analytics space. Dozens. Security analytics seems to be very much in vogue this season. Analytics are all the rage. 

I’ve seen Analytics on every bit of data that you can collect in the security space, from the darknet, through the corp network, and from endpoint devices. Data, we got it and we’re munging the data for any leverage possible.
Analytics are the new orange. 

Cheers,

/Brook

Securing Systems is One of Amazon’s #1 New Releases

This morning, I wanted to check on Amazon if my latest book, Securing Systems: Applied Security Architecture and Threat Models, had moved up from a bottom rank. You know that Amazon statistic, “this book is ranked number 50 million on Amazon” bit in a book’s page?

When I opened the book’s page, I was greeted by the following message:

“#1 new release in computer systems analysis and design”

Wow! Thank you, thank you, thank you, to the people who are reading my book. I’m gobsmacked this morning.

Cheers,

/brook

“We sell Hammers” – Not Security!

“We sell Hammers” – Not Security!

Several former Home Depot employees said they were not surprised the company had been hacked. They said that over the years, when they sought new software and training, managers came back with the same response: “We sell hammers.

Failure to understand the dependence that we have not just on our obvious digital devices – smart phone, laptop, tablet, fancy fitness bling on your wrist – but also on a matrix of interconnection tying all these devices and billions more together – will land you in the hot seat. For about three billion out of the seven billion people on this planet, we have long since passed the point where we are isolated entities who act alone and in some measure of unconnected global anonymity. For most of us, our lives are not just dependent upon technology itself, but also on the capabilities of innumerable, faceless business entities acting on our behalf.

Consider the following, common, but trivial example.

When I swipe my credit card at the pump to purchase petrol, that transaction passes through any number of computation devices and applications operated by a chain of business entities. The following is a typical scenario (an example flow – but not the only one, of course):

  • The point of sale device1, itself (likely supplied by a point of sale provider)
  • The networking equipment at the station2
  • The station’s Internet provider’s equipment (networking, security, applications – you have no idea!)
  • One or more telecom company’s networking infrastructure across the Internet backbone
  • The point of sale company or their proxy
  • More networking equipment and Internet providers
  • A credit card payment processor
  • More networking equipment and Internet providers
  • The card issuer who must validate the card and agree to pay the transaction for me

And so on…. All just to fill my tank up. It’s seamless and invisible – the communications between entities usually bring up an encrypted tunnel, though the protection offered is not as solid as you may hope – Invisible and seamless, except when the processing is not so invisible, like during a compromise and breach.

Every one of these invisible players has to have good enough security to protect me, and you, if you also use some sort of payment card for your petrol.

Home Depot, and Target before them, (and who knows who’s next?) failed to understand that in order to sell a hammer in the Internet world, you’re participating in this huge web of digital interconnection. Even more so, if you’re large enough, your business network will have become an eco-system of digital entities, many of whose security practices will affect your security posture in fairly profound ways. When 2 (or more) systems connect, each may affect the security posture of the other, sometimes in profound ways.

And there be pirates in them waters, Matey. As I wrote in the introduction to my next book, Securing Systems: Applied security architecture and threat models:

“…as of this writing, we are engaged in a cyber arms race of extraordinary size, composition, complexity, and velocity.”

One of the biggest problems for security practitioners remains that the cyber “arms race” isn’t just between a couple of nation-states. Foremost, the nation-state cyber war has to cross the same digital ocean that we use for our daily lives and digital entertainment. The shared web makes every digital citizen, potential “collateral damage”. But, there are more players than governments.

As can occur in a ground war, virtual “warlords” have private cyber armies marauding for loot, my loot, your loot. Those phishing spam don’t come from your friends, right3? Just trying to categorize the various entities engaged in cyber attacks could generate a couple of fine PhD theses and perhaps even provide years of follow-on papers? The number and varying loyalties of the many players who carry out cyber attacks increases the “size” of the problem, adds to the “composition”, and generates a great deal of “complexity”. It’s enough to make a well-meaning box-store retailer bury its collective head in the virtual sand. Which is precisely what happened to that hammer seller, Home Depot.

But answering the “who” doesn’t complete the picture. There’s the macro “how”, as well4. The Internet seems to suffer the “tragedy of the commons“.

In order to keep the Internet sufficiently interesting with compelling content such that we want to participate, it absolutely must remain neutral in character5. While Internet democracy certainly appears to be quite messy, the very thing that drives the diversity of content on the Internet is its level playing field6.

But leaving the Internet as an open field for all to enjoy means that some will take advantage of the many simply because the “pickings” are too rich to ignore. There is just too much to steal to let those resources lay untouched. And the pirates don’t! People actually do answer those “Nigerian Prince” scam emails. Really, someone does. People do buy those knock-off drugs. For the 3 billion of us who are digitally connected, it’s a dangerous digital day, every single day. Watch what you click!

In short, if you’re reading this on my blog site, you are perhaps an unwitting participant in that “cyber arms race of extraordinary size, composition, complexity, and velocity.” And so is every business that employs modern digital capabilities, whether for payments, or any other task. Failure to understand just how dependent a business is upon this matrix of digital interaction will make one a Target (pun intended). CEO’s, you may want to pay closer attention? Ignoring the current realities could cost you your job, perhaps even your career7!

If you think that you only sell objects and not some level of digital security, I fear that you are likely to be very sadly mistaken?

cheers,

/brook

  1. My friend and former colleague, Lucy McCoy, wrote the communications code in the first generation of gas pump payment terminals. At that time, terminals communicated via modem and phone line. She was a serial communications wiz. I remember the point of sale terminal laid out in her lab area. Lucy has since passed away. She was a brilliant engineer; she gave my code the best quality testing ever.
  2. The transactions have to get from station to payment processing, right? Who runs those cable modems and routers at the station? Could be the Internet provider, or maybe not. I run my own modem/routers/switches at home to which I have full admin access.
  3. I don’t know any spammers, as far as I know? Perhaps I make an unwarranted assumption that you don’t, either?
  4. The “what” and “why” of cyber attack seem pretty clear. Beyond attackers after money, they are after some other advantage: geo-political, business, just causes (pick your favourite or most hated cause), career enhancement, what-have-you. This is all pretty well documented. The security industry seems preoccupied with the “what”, i.e., the technical details of exploits. Again, these technical details seem pretty well documented.
  5. Imagine if your most hated or feared government had control over your Internet use, even the Internet itself, and proceeded to feed you exactly what they wanted you to know and prevented you from any other content. How would you like that?
  6. The richness and depth that is an emergent and continuing quality of the Internet, to me, demonstrates the absolute genius of the originators and early framers of the protocols and design.
  7. Of course, if I had a severance of $15.9 million, maybe I wouldn’t very much mind ending my career?

Heartbleed Exposure, What Is It Really?

Heartbleed Exposure, what is it really?

“Heap allocation patterns make private key exposure unlikely” Neel Mehta, discoverer of HeartBleed” 

In the media, there’s been a lot of discussion about what might be exposed from the heartbleed OpenSSL attack. It is certainly true that very sensitive items can be exposed. And over thousands of test runs, sensitive items like private keying materials and the like have been returned by the heartbleed buffer overread.

A very strong case can be made for doing exactly as industry due diligence suggests. Teams should replace private keys on servers that had been vulnerable, once these are patched. But should every person on the Internet change every password? Let’s examine that problems by digging into the details of exactly how heartbleed works.

First, heartbleed has been characterized as an “overflow” error: “Heartbleed is basically a buffer-overflow vulnerability”. This unfortunately is a poor descriptor and somewhat inaccurate. It may make better media copy, but calling heartbleed an “overflow” is a poor technical description upon which to base a measured response.

Heartbleed is not a classic buffer overflow. No flow control or executable code may be injected via heartbleed. A read of attacker chosen memory locations is not possible, as I will explain, below. A better descriptor of heartbleed is a “buffer over-read”. Unintentionally, some data from memory is returned to the attacker. To be precise, heartbleed is a data leak, not a flow control error.

In order to understand what’s possible to disclose, it’s key to understand program “heap” memory. The heap is an area of memory that programs use to store data. Generally speaking, well-written programs (like OpenSSL) do not to put executable code into heap (that is, data) memory[1]. Because data and execution are separated, the attacker has no way through this vulnerability to execute code. And that is key, as we shall see.

As a program runs, bits of data, large and small, temporary and more or less permanent for the run, are put into the heap[2]. Typically, data are put wherever is convenient at the moment of allocation, depending upon what memory is available.

Memory that’s been deallocated gets reused. If an available piece of memory happens to be larger than a requested size, the new sized piece will be filled with the new data, while adjacent to the new data will remain bits and pieces of whatever was there previously.

In other words, while not entirely random, the heap is filled with bits and pieces of data, a little from here, a little from there, a nice big chunk from this session, with a bit left over from some other session, all helter-skelter amongst each other. The heap is a jumble; taking random bits from the heap may be considered to be like attending a jumble sale.

Now, let’s return to heartbleed. The heartbleed bug returns whatever happens to be on the heap just above the 16 bytes that are required for the TLS heartbeat packet. The attacker may request as much as 64K bytes. That’s a nice big chunk of stuff from the heap; make no mistake about it. Anything might be in there. At the very least, decrypted  data intended for application processing will be returned to the attacker[3]. That’s certainly bad! It breaks the confidentiality supposedly gained through the TLS encryption. But getting a random bit is different than requesting an arbitrary memory location at the discretion of the attacker. And that is a very important statement to hold in mind as we respond to this very serious situation.

An analogy to Heartbleed might be a bit like going fishing. Sometimes, we fish where we can clearly see the fish (mountain streams) or signs of fish (clearer lakes), or with a “fish finder” appliance, that identifies fish  under the surface when the fish aren’t visible.

Heartbleed is a lot more like fishing for fish that are deep in a turbulent lake with no fish finding capability. The fisher is guessing. If she or he guesses correctly, fish for dinner. If not, it’s a long day holding onto the fishing rod.

In the same manner, the attacker, the “fisher” as it were, doesn’t know where the “fish”, the goodies are. The bait (the heartbleed request) is cast upon the “lake” (the program heap) in the hopes that a big fish will “bite” (secret “bytes” will get returned).

The attacker can heartbleed to her or his heart’s content (pun intended). That is, if left undiscovered, an attacker can continuously pound the other side of the connection with heartbleeds, perhaps thousands of times. Which means multiple chunks of memory will be returned to the attacker, as the heap allocates, deallocates, and moves data around.

Lots of different heap chunks will get returned. There will likely also be overlap between the chunks that are returned to the attacker. Somewhere within those memory chunks are likely to be some sensitive data. If the private key for a session happens to be in one of those chunks, it will be exposed to the attacker. If any particular session open through the OpenSSL library happens to a contain a password that had been transmitted, it’s been exposed. It won’t take an engineering genius to do an ASCII dump of returned chunks of memory in order to go poking about to find interesting bits.

Still, and nonetheless, this is hunting for goodies in a bit of a haystack. Some people are quite good at that. Let’s acknowledge that outright. But that’s very different than a directed attack.

And should a wise and prepared security team, making good use of appropriate security tools, notice a heartbleed attack, they will most likely kill the connection before thousands of buffers can be read. Heartbleed over any particular connection is a linear process, one packet retrieved at a time. Retrieving lots of data takes some time. Time to respond. Of course, an unprotected and unaware site could allow many sessions to get opened by an attacker, each linearly heartbled, thus revealing far more of what’s on the heap than a single session might. Wouldn’t you notice such anomalous behaviour?

It’s important to note that the returns in the heartbleed packets are not necessarily tied to the attackers’ session. Again, it’s whatever happens to be on the heap, which will contain parts of other sessions. And any particular heartbleed packet is not necessarily connected to the data in a previous or subsequent packet. Which means that there’s no continuity of session nor any linearity between heartbleed retrievals. All session continuity must be pieced together by the attacker. That’s not rocket science. But it’s also work, perhaps significant work.

I’ll reiterate in closing, that this is a dangerous bug to which we must respond in an orderly fashion.

On the other hand, this bug does not give attackers free reign to go after all the juicy targets that may be available on any host, server, or endpoint that happens to have OpenSSL installed. Whatever happens to be on the heap of the process using the OpenSSL library and that is adjacent to the heartbeat buffer will be returned. And that attack may only occur during a TLS session. Simply including the vulnerable library poses no risk, at all. Many programs make use of OpenSSL for other functionality beyond TLS sessions.

This bug is not the unfettered keys to the kingdom, unless a “key to the kingdom” just happens to be on the heap and happens to get returned in the over-read. What gets returned is entirely due to the distribution of the heap at the moment of that particular heartbeat.

Cheers,

/brook

These assertions have been demonstrated in the lab through numerous runs of the heartbleed attack by a  team who cannot be named here. My thanks to them for confirming this assessment. Sorry for not disclosing.

[1] There are plenty of specialized cases that break this rule. But typically, code doesn’t run from the heap; data goes onto the heap. And generally speaking, programs refrain from executing on the heap because it’s a poor security practice. Let’s make that assumption about OpenSSL (and there’s nothing to indicate that this is NOT true in this case), in order to make clear what’s going on with heartbleed.

[2] The libraries that support programs developed with the major development tools and running on the major operating systems have sophisticated heap management services that are consumed by the running application as it allocates and deallocates memory. While care must be exercised in languages like C/C++, the location of where data end up on the heap is controlled by these low-level services.

[3] That is, intended for the application that is using OpenSSL for TLS services.

Book Signing At RSA

I’m signing books along with James Ransome and Anmol Misra at 11:30AM at the bookstore at RSA in San Francisco, Digital Guru. If you’re at the conference, please do come by and say “hello”.

James and Anmol  were kind enough to give me a few of their book’s pages, Core Software Security, so that I could ramble on about Secure Development Lifecycles (SDL).

cheers,

/brook

The “Real World” of Developer-centric Security

My friend and colleague, Dr. James Ransome, invited me late last Winter to write a chapter for his 10th book on computer security, Core Software Security(with co-author, Anmol Misra published by CRC Press. My chapter is “The SDL In The Real World”, SDL = “Secure Development Lifecycle”. The book was released December 9, 2013. You can get copies from the usual sources (no adverts here, as always).

It was an exciting process. James and I spent hours white boarding possible SDL approaches, which was very fun, indeed*. We collectively challenged ourselves to uncover current SDL assumptions, poke at the validity of these, and find better approaches, if possible.

Many of you already know that I’ve been working towards a different approach to the very difficult, multi-dimensional and multi-variate problem of designing and implementing secure software for a rather long time. Some of my earlier work has been presented to the industry on a regular basis.

Specifically, during the period of 2007-9, I talked about a new (then) approach to security verification that would be easy for developers to integrate into their workflow and which wouldn’t require a deep understanding of security vulnerabilities nor of security testing. At the time, this approach was a radical departure.

The proving ground for these ideas was my program at Cisco, Baseline Application Vulnerability Assessment, or BAVA, for short (“my” here does not exclude the many people who contributed greatly to BAVA’s structure and success. But it was more or less my idea and I was the technical leader for the program).

But, is ease and simplicity all that’s necessary? By now, many vendors have jumped on the bandwagon; BAVA’s tenets are hardly even newsworthy at this point**. Still, the dream has not been realized, as far as I can see. Vulnerability scanning still suffers from a slew of impediments from a developer’s view:

  • Results count vulnerabilities not software errors
  • Results are noisy, often many variations of a single error are reported uniquely
  • Tools are hard to set up
  • Tools require considerable tool  knowledge and experience, too much for developers’ highly over-subscribed days
  • Qualification of results requires more in-depth security knowledge than even senior developers generally have (much less an average developer)

And that’s just the tool side of the problem. What about architecture and design? What about building security in during iterative, fast paced, and fast changing agile development practices? How about continuous integration?

As I was writing my chapter, something crystalized. I named it, “developer-centric security”, which then managed to get wrapped into the press release and marketing materials of the book. Think about this:  how does the security picture change if we re-shape what we do by taking the developer’s perspective rather than a security person’s?

Developer-centric software security then reduced to single, pointed question:

What am I doing to enable developers to innovate securely while they are designing and writing software?

Software development remains a creative and innovative activity. But so often, we on the security side try to put the brakes on innovation in favour of security. Policies, standards, etc., all try to set out the rules by which software should be produced. From an innovator’s view at least some of the time, developers are iterating through solutions to a new problem while searching for the best way to solve it. How might security folk enable that process? That’s the question I started to ask myself.

Enabling creativity, thinking like a developer, while integrating into her or his workflow is the essence of developer-centric security. Trust and verify. (I think we have to get rid of that old “but”)

Like all published works, the book represents a point-in-time. My thinking has accelerated since the chapter was completed. Write me if you’re intrigued, if you’d like more about developer-centric security.

Have a great day wherever you happen to be on this spinning orb we call home, Earth.

cheers,

/brook

*Several of the intermediate diagrams boggle in complexity and their busy quality. Like much software development, we had to work iteratively. Intermediate ideas grew and shifted as we worked. a creative process?

**At the time, after hearing BAVA’s requirements, one vendor told me, “I’ll call you back next year.”. Six months later on a vendor webcast, that same vendor was extolling the very tenets that I’d given them earlier. Sea change?

Of Flaws, Requirements, And Templates

November 13th, 2013, I spoke at the annual BSIMM community get together in Reston, Virginia, USA. I had been asked to co-present on Architecture Risk Assessment (ARA) and threat modeling along side Jim Delgrosso, long time Cigital threat modeler. We gave two talks:

  1. Introduction to  Architecture Risk Assessment And Threat Modeling
  2. Scaling Architecture Risk Assessment And Threat Modeling To An Enterprise

Thanks much, BSIMM folk, for letting me share the tidbits that I’ve managed to pick up along my way. I hope that we delivered on some of  the promises of our talks? One of my personal values from my participation in the conference was interacting with other experienced practitioners.

Make no mistake! ARA-threat modeling is and will remain an art. There is science involved, of course. But people who can do this well learn through experience and the inevitable mistakes and misses. It is a truism that it takes a fair amount of background knowledge (not easily gained):

  • Threat agents
  • Attack methods and goals used by each threat agent type
  • Local systems and infrastructure into which a system under analysis will go
  • Some form of fairly sophisticated risk rating methodology.

These specific knowledge sets sit on top of significant design ability and experience. The assessor has to be able to understand a system architecture and then to decompose it to an appropriate level.

The knowledge domains listed above are pre-requisite to an actual assessment. That is, there are usually years of experience in system and/or software design, in computer architectures, in attack patterns, threat agents, security controls, etc., that the assessor  brings to an ARA. One way of thinking about it is that ARA/threat modeling is applied computer security, computer security applied to the system under analysis.

Because ARA is a learned skill with many local variations, I find it fascinating to match my practice to practices that have been developed  independent of mine. What is the same? Where do we have consensus? And, importantly, what’s different? What have  I missed? How can I improve my practice based upon others’? These co-presentations and conversations are priceless. Interestingly, Jim and I agreed about the basic process we employ:

  • Understand the system architecture, especially the logical/functional representation
  • Uncover intended risk posture of the system and the risk tolerance of the organization
  • Understand the system’s communication flows, to the protocol interaction level
  • Get the data sensitivity of each flow and for each storage. Highest sensitivity rules any resulting security needs
  • Enumerate attack surfaces
  • Apply relevant active threat agents and their methodologies to attack surfaces
  • Filter out protected, insignificant, or unlikely attack vectors and scenarios
  • Output the security that the system or the proposed architecture and design are missing in order to fulfill the intended security posture

There doesn’t seem to be much disagreement on what we do. That’s good. It means that this practice is coalescing.The places were we disagree or approach the problem differently I think are pretty interesting.

Gary McGraw calls security architecture misses, “flaws”. Flaws as opposed to software bugs. bugs can be described as errors in implementation, usually, coding. Flaws would then be those security items which didn’t get considered during architecture and design, or which were not designed correctly  (like poorly implemented authentication, authorization, or encryption). I would agree that implementing some sort of no entropy scramble and then believing that you’ve built “encryption” is, indeed both a design flaw and an implementation error*.

I respect Gary’s opinion greatly. So I carefully considered his argument. My personal “hit”, not really an opinion so much as a possible rationale, is that “flaw” gets more attention than say, “requirement”? This may especially be true at the senior management level? Gary, feel free to comment…

Why do I prefer the term “requirement”? Because I’m typically attempting to fit security into an existing architecture practice. Architecture takes “requirements” and turns these into architecture “views” that will fulfill the requirements. So naturally, if I want security to get implemented, I will have to deliver requirements into that process.

Further, if I name security items that the other architects may have missed, as “flaws”, I’m not likely to make any friends amongst my peers, the other architects working on a system. They may take umbrage in my describing their work as flawed? They bring me into analysis in order to get a security view on the system, to uncover through my expertise security requirements that they don’t have the expertise to discover.

In other words, I have very good reasons, just as Gary does, for using the language of my peers so that my security work fits as seamlessly as possible into an existing architecture practice.

The same goes for architecture diagram preferences. Jim Delgrosso likes to proffer a diagram template for use. That’s a great idea! I could do more with this, absolutely.

But once again, I’m faced with an integration problem. If my peers prefer Data Flow Diagrams (DFD), then I’d better be able to analyze a system based upon its DFD. If architects use UML, I’d better be able to understand UML. Ultimately, if I prize integration, unless there’s no existing architecture approach with which to work, my best integration strategy is to make use of whatever is typical and normal, whatever is expected. Otherwise, if I demand that my peers use my diagram, they may see me as obstructive, not collaborative. I have (so far) focused on integration with existing practices and teams.

As I spend more time teaching (and writing a book about ARA), I’m finding that having accepted whatever I’ve been given in an effort to integrate well, I haven’t created a definitive system  ARA diagram template from which to work (though I have lots of samples). That may be a miss on my part? (architectural miss?)

Some of the different practices I encountered may be due to differing organizational roles? Gary and Jim are hired as consultants. Because they are hired experts, perhaps they can prescribe more? Or, indeed, customers expect a prescriptive, “do it this way” approach? Since I’ve only consulted sparingly and have mostly been hired to seed and mentor security architecture practices from the inside, perhaps I don’t have enough experience to understand consultative demands and expectations? I do know that I’ve had far more success through integration than through prescription. Maybe that’s just my style?

You, my readers, can, of course, choose whatever works for you, depending upon role, maturity of your organization, and such.

Thanks for the ideas, Jim (and Gary). It was truly a great experience to kick practices around with you two.

cheers,

/brook

*We should be long past the point where anyone believes that a proprietary scramble protects much. (Except, of course, I occasionally do come across exactly this!).