Securosis

Research

Choose Your Own Whitepaper Adventure (and Upcoming Papers)

We are in the process of finalizing some research planning for the next few months, so I want to see if there are any requests for research out there. First, here are some papers we anticipate completing over the next 3 months: Understanding and Selecting a Database Encryption or Tokenization Solution Understanding and Selecting a Database Assessment Solution Project Quant for Database Security Quick Wins with DLP Pragmatic Data Security Network Security Fundamentals Endpoint Security Fundamentals Understanding and Selecting a SIEM/Log Management Product Understanding and Implementing Network Segregation Data Security for the Cloud Some of these are sponsored, some aren’t, and all will be released for free under a Creative Commons license. But we’d also like to know if there are any areas you’d like to see us develop. What the heck – since we give it away for free, you might as well take advantage of us. The one area we aren’t ready to cover yet is identity management, but anything else is open. Seriously – use us. We like it. Oh, yeah. Share:

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Counterpoint: Admin Rights Don’t Matter the Way You Think They Do

Update – Based on feedback, I failed to distinguish that I’m referring to normal users running as admin. Sysadmins and domain admins definitely shouldn’t be running with their admin privileges except for when they need them. As you can read in the comments, that’s a huge risk. When I was reviewing Mike’s FireStarter on yanking admin rights from users, it got me thinking on whether admin rights really matter at all. Yes, I realize this is a staple of security dogma, but I think the value of admin rights is completely overblown due to two reasons: There are plenty of bad things an attacker can do in userland without needing admin rights. You can still install malware and access everything the user can. Lack of admin privileges is little more than a speed bump (if even that) for many kinds of memory corruption attacks. Certain buffer overflows and other attacks that directly manipulate memory can get around rights restrictions and run as root, admin, or worse. For example, if you exploit a kernel flaw with a buffer overflow (including flaws in device drivers) you are running in Ring 0 and fully trusted, no matter what privilege level the user was running as. If you read through the vulnerability updates on various platforms (Mac, PC, whatever), there are always a bunch of attacks that still work without admin rights. I’m also completely ignoring privilege escalation attacks, but we all know they tend to get patched at a slower pace than remote exploitation vulnerabilities. This isn’t to say that removal of admin rights is completely useless – it’s very useful to keep users from mucking up your desktop images – but from a defensive standpoint, I don’t think restricting user rights is nearly as effective as is often claimed. My advice? Do not rely on standard user mode as a security defense. It’s useful for locking down users, but has only limited effectiveness for stopping attacks. When you evaluate pulling admin rights, don’t think it will suddenly eliminate the need for other standard endpoint security controls. Share:

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The NSA Isn’t Evil (Even Working with Google)

The NSA is going to work with Google to help analyze the recent Chinese (probably) hack. Richard Bejtlich predicted this, and I consider it a very positive development. It’s a recognition that our IT infrastructure is a critical national asset, and that the government can play a role in helping respond to incidents and improve security. That’s how it should be – we don’t expect private businesses to defend themselves from amphibious landings (at least in our territory), and the government has political, technical, and legal resources simply not available to the private sector. Despite some of the more creative TV and film portrayals, the NSA isn’t out to implant microchips in your neck and follow you with black helicopters. They are a signals intelligence collection agency, and we pay them to spy on as much international communication as possible to further our national interests. Think that’s evil? Go join Starfleet – it’s the world we live in. Even though there was some abuse during the Bush years, most of that was either ordered by the President, or non-malicious (yes, I’m sure there was some real abuse, but I bet that was pretty uncommon). I’ve met NSA staff and sometimes worked with plenty of three-letter agency types over the years, and they’re just ordinary folk like the rest of us. I hope we’ll see more of this kind of cooperation. Now the one concern is for you foreigners – the role of the NSA is to spy on you, and Google will have to be careful to avoid potentially uncomfortable questions from foreign businesses and governments. But I suspect they’ll be able to manage the scope and keep things under control. The NSA probably pwned them years ago anyway. Good stuff, and I hope we see more direct government involvement… although we really need a separate agency to handle these due to the conflicting missions of the NSA. Note: for those of you that follow these things, there is clear political maneuvering by the NSA here. They want to own cybersecurity, even though it conflicts with their intel mission. I’d prefer to see another agency hold the defensive reins, but until then I’m happy for any .gov cooperation. Share:

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Friday Summary: February 5, 2010

I think I need to stop feeling guilty for trying to run a business. Yesterday we announced that we’re trying to put together a list of end users we can run the occasional short survey past. I actually felt guilty that we will derive some business benefit from it, even though we give away a ton of research and advice for free, and the goal of the surveys isn’t to support marketing, but primary research. I’ve been doing this job too long when I don’t even trust myself anymore, and rip apart my own posts to figure out what the angle is. Jeez – it isn’t like I felt guilty about getting paid to work on an ambulance. It is weird to try to build a business where you maintain objectivity while trying to give as much away for free as possible. I think we’re doing a good job of managing vendor sponsorship, thanks to our Totally Transparent Research process, which allows us to release most white papers for free, without any signup or paywall. We’ve had to turn down a fair few projects to stick with our process, but there are plenty of vendors happy to support good research they can use to help sell their products, without having to bias or control the content. We’re walking a strange line between the traditional analyst model, media sponsorship, research department, and… well, whatever else it is we’re doing. Especially once we finish up and release our paid products. Anyway, I should probably get over it and stop over-thinking things. That’s what Rothman keeps telling me, not that I trust him either. Back to that user panel – we’d like to run the occasional (1-2 times per quarter) short (less than 10 minutes) survey to help feed our research, and as part of supporting the OWASP survey program. We will release all the results for free, and we won’t be selling this list or anything. If you are interested, please email us at survey@securosis.com. End users only (for now) please – we do plan on expanding to vendors later. If you are at a vendor and are responsible for internal security, that’s also good. All results will be kept absolutely anonymous. We’re trying to give back and give away as much as we can, and I have decided I don’t need to feel guilty for asking for a little of your time in exchange. On to the Summary: Webcasts, Podcasts, Outside Writing, and Conferences Adrian’s Dark Reading post on Dealing with Weak Passwords. Rich’s TidBITS article on iPads for the enterprise Rich’s Endpoint DLP article took the cover of Information Security magazine Rich quoted by cnet on the Mac vs. PC security debate At TidBITS, Pepper points out that the dead are staging a comeback in the ebook market. Zombie Authors Threaten Fiction Ebook Market, from the Grave! – Brains, anyone? Favorite Securosis Posts Rich: Adrian’s post on Agile and SDL. Funny timing on this one, with Microsoft starting to release some new information on it. Adrian: Mike’s Monitor Everything. I disagree with some of it, but there is so much good information that it’s my fave this week. David Mortman: Analysis of Trustwave’s 2010 Breach Report More yummy yummy data Mike: What do DLP and condoms have in common? Any time you can mention condoms on a corporate blog, it’s a win. ‘nuf said. Meier: Comments on Microsoft Simplified SDL I was hoping Adrian would do a rundown when I saw this earlier and I enjoyed how he broke it out. Other Securosis Posts The NSA Isn’t Evil (Even Working with Google) Database Security Fundamentals: Access & Authorization Need Brains. User Brains Incite 2/2/2010: The Life of the Party You Have to Buy Data Security Tools Pragmatic Data Security: Discover The Network Forensics (Full Packet Capture) Revival Tour Network Security Fundamentals: Default Deny (UPDATED) Favorite Outside Posts Rich: Jeremiah’s great post on why we need to break the web to secure it. This is one of the biggest problems we face on the web – the refusal to make important changes which would enable us to move forward, for fear of breaking older content. Not that we should break things willy-nilly, but many of the bits we are talking about breaking are easy to work around in terms of still providing users the same browsing experience. It’s the ad networks that are the big problem. Adrian: Krebs on ATM Skimmers, part 1 and 2, as very practical security tips. Mike: Kudos to Will Gragido, who makes a play for the fundamental building block of pragmatic philosophy – Accountability the non-Negotiable Asset. Keep in mind that accountability cuts both ways: you need to be accountable for meeting deliverables and managing expectations, and folks in your organization need to be accountable for not doing stupid things. David Mortman: Excerpts from Randy George’s “Dark Side of DLP” “It’s not just enough to recognize badness; someone has to be able to classify badness, with authority.” Says so much about security and not just DLP. Chris: Twitter: real but malicious BitTorrent trackers harvesting accounts. Who knew Twitter had real security staff? Meier: How secure are you? Access was easy at 9 out of 10 buildings. It’s easy for staff writers at the Orlando Sentinel – it’s easy for anyone. Project Quant Posts Project Quant: DatabaseSecurity – WAF Project Quant: Database Security – Encryption Project Quant: Project Comments Project Quant: Database Security – Protect through Monitoring Project Quant: Database Security – Audit Project Quant: Database Security – Monitoring Project Quant: Database Security – Open Question to Database Security Community Project Quant: Database Security – Shield Top News and Posts House passes cybersecurity bill. This hit right as we were going to press, so we’ll provide analysis later. PGP Acquires TC TrustCenter & Chosen Security. If a PKI falls in the woods, does anyone hear it? David Litchfield hangs up the gloves. David is an exceptional researcher who was a powerful counterbalance to Oracle marketing. Sad to

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Analysis of Trustwave’s 2010 Breach Report

Trustwave just released their latest breach (and penetration testing) report, and it’s chock full of metrics goodness. Like the Verizon Data Breach Investigations Report, it’s a summary of information based on their responses to real breaches, with a second section on results from their penetration tests. The breach section is the best part, and I already wrote about one lesson in a quick post on DLP. Here are a few more nuggets that stood out: It took an average of 156 days to detect a breach, and only 9% of victims detected the breach on their own – the rest were discovered by outside groups, including law enforcement and a credit card companies. Chip and PIN was called out for being more resilient against certain kinds of attacks, based on global analysis of breaches. Too bad we won’t get it here in the US anytime soon. One of the biggest sources of breaches was remote access applications for point of sale systems. Usually these are in place for third party support/management, and configured poorly. Memory parsing (scanning memory to pull sensitive information as it’s written to RAM) was a very common attack technique. I find this interesting, since certain versions of memory parsing attacks have virtualization implications… and thus cloud implications. This is something to keep an eye on, and an area I’m researching more. As I mentioned in the post 5 minutes ago, encryption was only used once for exfiltration. Now some suggestions to the SpiderLabs guys: I realize it isn’t politically popular, but it would totally rock if you, Verizon, and other response teams started using a standard base of metrics. You can always add your own stuff on top, but that would really help us perform external analysis across a wider base of data points. If you’re interested, we’d totally be up for playing neutral third party and coordinating and publishing a recommended metrics base. The pen testing section would be a lot more interesting if you released the metrics, as opposed to a “top 10” list of issues found. We don’t know if number 1 was 10x more common than issue 10, or 100x more common. It’s great that we now have another data source, and I consider all these reports mandatory reading, and far more interesting than surveys. Share:

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Need Brains. User Brains

As part of our support for the Open Web Application Security Project (OWASP), we participate in their survey program which runs quarterly polls on various application security issues. The idea is to survey a group of users to gain a better understanding of how they are managing or perceiving web application security. We also occasionally run our own surveys to support research projects, such as Project Quant. All these results are released free to the public, and if we’re running the survey ourself we also release the raw anonymized data. One of our ongoing problems is getting together a good group of qualified respondents. It’s the toughest part of running any survey. Although we post most of our surveys directly in the blog, we would also like to run some closed surveys so we can maintain consistency over time. We are going to try putting together a survey board of people in end user organizations (we may also add a vendor list later) who are willing to participate in the occasional survey. There would be no marketing to this list, and no more than 1-2 short (10 minutes or less is our target) surveys per quarter. All responses will be kept completely anonymous (we’re trying to set it up to scrub the data as we collect it), and we will return the favor to the community by releasing the results and raw data wherever possible. We’re also working on other ideas to give back to participants – such as access to pre-release research, or maybe even free Q&A emails/calls if you need some advice on something. No marketing. No spin. Free data.* If you are interested please send an email to survey@securosis.com and we’ll start building the list. We will never use any email addresses sent to this project for anything other than these occasional short surveys. Private data will never be shared with any outside organization. We obviously need to hit a certain number of participants to make this meaningful, so please spread the word. *Obviously we get some marketing for ourselves out of publishing data, but hopefully you don’t consider that evil or slimy. Share:

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What Do DLP and Condoms Have in Common?

They both work a heck of a lot better if you use them ahead of time. I just finished reading the Trustwave Global Security Report, which summarizes their findings from incident response and penetration tests during 2009. In over 200 breach investigations, they only encountered one case where the bad guy encrypted the data during exfiltration. That’s right, only once. 1. The big uno. This makes it highly likely that a network DLP solution would have detected, if not prevented, the other 199+ breaches. Since I started covering DLP, one of the biggest criticisms has been that it can’t detect sensitive data if the bad guys encrypt it. That’s like telling a cop to skip the body armor since the bad guy can just shoot them someplace else. Yes, we’ve seen cases where data was encrypted. I’ve been told that in the recent China hacks the outbound channel was encrypted. But based on the public numbers available, more often than not (in a big way) encryption isn’t used. This will probably change over time, but we also have other techniques to try to detect such other exfiltration methods. Those of you currently using DLP also need to remember that if you are only using it to scan employee emails, it won’t really help much either. You need to use promiscuous mode, and scan all outbound TCP/IP to get full value. Also make sure you have it configured in true promiscuous mode, and aren’t locking it to specific ports and protocols. This might mean adding boxes, depending on which product you are using. Yes, I know I just used the words ‘promiscuous’ and ‘condom’ in a blog post, which will probably get us banned (hopefully our friends at the URL filtering companies will at least give me a warning). I realize some of you will be thinking, “Oh, great, but now the bad guys know and they’ll start encrypting.” Probably, but that’s not a change they’ll make until their exfiltration attempts fail – no reason to change until then. Share:

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Pragmatic Data Security: Discover

In the Discovery phase we figure where the heck our sensitive information is, how it’s being used, and how well it’s protected. If performed manually, or with too broad an approach, Discovery can be quite difficult and time consuming. In the pragmatic approach we stick with a very narrow scope and leverage automation for greater efficiency. A mid-sized organization can see immediate benefits in a matter of weeks to months, and usually finish a comprehensive review (including all endpoints) within a year or less. Discover: The Process Before we get into the process, be aware that your job will be infinitely harder if you don’t have a reasonably up to date directory infrastructure. If you can’t figure out your users, groups, and roles, it will be much harder to identify misuse of data or build enforcement policies. Take the time to clean up your directory before you start scanning and filtering for content. Also, the odds are very high that you will find something that requires disciplinary action. Make sure you have a process in place to handle policy violations, and work with HR and Legal before you start finding things that will get someone fired (trust me, those odds are pretty darn high). You have a couple choices for where to start – depending on your goals, you can begin with applications/databases, storage repositories (including endpoints), or the network. If you are dealing with something like PCI, stored data is usually the best place to start, since avoiding unencrypted card numbers on storage is an explicit requirement. For HIPAA, you might want to start on the network since most of the violations in organizations I talk to relate to policy violations over email/web/FTP due to bad business processes. For each area, here’s how you do it: Storage and Endpoints: Unless you have a heck of a lot of bodies, you will need a Data Loss Prevention tool with content discovery capabilities (I mention a few alternatives in the Tools section, but DLP is your best choice). Build a policy based on the content definition you built in the first phase. Remember, stick to a single data/content type to start. Unless you are in a smaller organization and plan on scanning everything, you need to identify your initial target range – typically major repositories or endpoints grouped by business unit. Don’t pick something too broad or you might end up with too many results to do anything with. Also, you’ll need some sort of access to the server – either by installing an agent or through access to a file share. Once you get your first results, tune your policy as needed and start expanding your scope to scan more systems. Network: Again, a DLP tool is your friend here, although unlike with content discovery you have more options to leverage other tools for some sort of basic analysis. They won’t be nearly as effective, and I really suggest using the right tool for the job. Put your network tool in monitoring mode and build a policy to generate alerts using the same data definition we talked about when scanning storage. You might focus on just a few key channels to start – such as email, web, and FTP; with a narrow IP range/subnet if you are in a larger organization. This will give you a good idea of how your data is being used, identify some bad business process (like unencrypted FTP to a partner), and which users or departments are the worst abusers. Based on your initial results you’ll tune your policy as needed. Right now our goal is to figure out where we have problems – we will get to fixing them in a different phase. Applications & Databases: Your goal is to determine which applications and databases have sensitive data, and you have a few different approaches to choose from. This is the part of the process where a manual effort can be somewhat effective, although it’s not as comprehensive as using automated tools. Simply reach out to different business units, especially the application support and database management teams, to create an inventory. Don’t ask them which systems have sensitive data, ask them for an inventory of all systems. The odds are very high your data is stored in places you don’t expect, so to check these systems perform a flat file dump and scan the output with a pattern matching tool. If you have the budget, I suggest using a database discovery tool – preferably one with built in content discovery (there aren’t many on the market, as we’ll mention in the Tools section). Depending on the tool you use, it will either sniff the network for database connections and then identify those systems, or scan based on IP ranges. If the tool includes content discovery, you’ll usually give it some level of administrative access to scan the internal database structures. I just presented a lot of options, but remember we are taking the pragmatic approach. I don’t expect you to try all this at once – pick one area, with a narrow scope, knowing you will expand later. Focus on wherever you think you might have the greatest initial impact, or where you have known problems. I’m not an idealist – some of this is hard work and takes time, but it isn’t an endless process and you will have a positive impact. We aren’t necessarily done once we figure out where the data is – for approved repositories, I really recommend you also re-check their security. Run at least a basic vulnerability scan, and for bigger repositories I recommend a focused penetration test. (Of course, if you already know it’s insecure you probably don’t need to beat the dead horse with another check). Later, in the Secure phase, we’ll need to lock down the approved repositories so it’s important to know which security holes to plug. Discover: Technologies Unlike the Define phase, here we have a plethora of options. I’ll break this into

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You Have to Buy Data Security Tools

When Mike was reviewing the latest Pragmatic Data Security post he nailed me on being too apologetic for telling people they need to spend money on data-security specific tools. (The line isn’t in the published post). Just so you don’t think Mike treats me any nicer in private than he does in public, here’s what he said: Don’t apologize for the fact that data discovery needs tools. It is what it is. They can be like almost everyone else and do nothing, or they can get some tools to do the job. Now helping to determine which tools they need (which you do later in the post) is a good thing. I just don’t like the apologetic tone. As someone who is often a proponent for tools that aren’t in the typical security arsenal, I’ve found myself apologizing for telling people to spend money. Partially, it’s because it isn’t my money… and I think analysts all too often forget that real people have budget constraints. Partially it’s because certain users complain or look at me like I’m an idiot for recommending something like DLP. I have a new answer next time someone asks me if there’s a free tool to replace whatever data security tool I recommend: Did you build your own Linux box running ipfw to protect your network, or did you buy a firewall? The important part is that I only recommend these purchases when they will provide you with clear value in terms of improving your security over alternatives. Yep, this is going to stay a tough sell until some regulation or PCI-like standard requires them. Thus I’m saying, here and now, that if you need to protect data you likely need DLP (the real thing, not merely a feature of some other product) and Database Activity Monitoring. I haven’t found any reasonable alternatives that provide the same value. There. I said it. No more apologies – if you have the need, spend the money. Just make sure you really have the need, and the tool you are looking at really delivers the value, since not all solutions are created equal. Share:

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The Network Forensics (Full Packet Capture) Revival Tour

I hate to admit that of all the various technology areas, I’m probably best known for my work covering DLP. What few people know is that I ‘fell’ into DLP, as one of my first analyst assignments at Gartner was network forensics. Yep – the good old fashioned “network VCRs” as we liked to call them in those pre-TiVo days. My assessment at the time was that network forensics tools like Niksun, Infinistream, and Silent Runner were interesting, but really only viable in certain niche organizations. These vendors usually had a couple of really big clients, but were never able to grow adoption to the broader market. The early DLP tools were sort of lumped into this monitoring category, which is how I first started covering them (long before the term DLP was in use). Full packet capture devices haven’t really done that well since my early analysis. SilentRunner and Infinistream both bounced around various acquisitions and re-spin-offs, and some even tried to rebrand themselves as something like DLP. Many organizations decided to rely on IDS as their primary network forensics tool, mostly because they already had the devices. We also saw Network Behavior Analysis, SIEM, and deep packet inspection firewalls offer some of the value of full capture, but focused more on analysis to provide actionable information to operations teams. This offered a clearer value proposition than capturing all your network data just to hold onto it. Now the timing might be right to see full capture make a comeback, for a few reasons. Mike mentioned full packet capture in Low Hanging Fruit: Network Security, and underscored the need to figure out how to deal with these new more subtle and targeted attacks. Full packet capture is one of the only ways we can prove some of these intrusions even happened, given the patience and skills of the attackers and their ability to prey on the gaps in existing SIEM and IPS tools. Second, the barriers between inside and outside aren’t nearly as clean as they were 5+ years ago; especially once the bad guys get their initial foothold inside our ‘walls’. Where we once were able to focus on gateway and perimeter monitoring, we now need ever greater ability to track internal traffic. Additionally, given the increase in processing power (thank you, Moore!), improvement in algorithms, and decreasing price of storage, we can actually leverage the value of the full captured stream. Finally, the packet capture tools are also playing better with existing enterprise capabilities. For instance, SIEM tools can analyze content from the capture tool, using the packet captures as a secondary source if a behavioral analysis tool, DLP, or even a ping off a server’s firewall from another internal system kicks off an investigation. This dramatically improves the value proposition. I’m not claiming that every organization needs, or has sufficient resources to take advantage of, full packet capture network forensics – especially those on the smaller side. Realistically, even large organizations only have a select few segments (with critical/sensitive data) where full packet capture would make sense. But driven by APT hype, I highly suspect we’ll see adoption start to rise again, and a ton of parallel technologies vendors starting to market tools such as NBA and network monitoring in the space. Share:

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