Securosis

Research

Best Practices For Endpoint DLP: Use Cases

We’ve covered a lot of ground over the past few posts on endpoint DLP. Our last post finished our discussion of best practices and I’d like to close with a few short fictional use cases based on real deployments. Endpoint Discovery and File Monitoring for PCI Compliance Support BuyMore is a large regional home goods and grocery retailer in the southwest United States. In a previous PCI audit, credit card information was discovered on some employee laptops mixed in with loyalty program data and customer demographics. An expensive, manual audit and cleansing was performed within business units handling this content. To avoid similar issues in the future, BuyMore purchased an endpoint DLP solution with discovery and real time file monitoring support. BuyMore has a highly distributed infrastructure due to multiple acquisitions and independently managed retail outlets (approximately 150 locations). During initial testing it was determined that database fingerprinting would be the best content analysis technique for the corporate headquarters, regional offices, and retail outlet servers, while rules-based analysis is the best fit for the systems used by store managers. The eventual goal is to transition all locations to database fingerprinting, once a database consolidation and cleansing program is complete. During Phase 1, endpoint agents were deployed to corporate headquarters laptops for the customer relations and marketing team. An initial content discovery scan was performed, with policy violations reported to managers and the affected employees. For violations, a second scan was performed 30 days later to ensure that the data was removed. In Phase 2, the endpoint agents were switched into real time monitoring mode when the central management server was available (to support the database fingerprinting policy). Systems that leave the corporate network are then scanned monthly when the connect back in, with the tool tuned to only scan files modified since the last scan. All systems are scanned on a rotating quarterly basis, and reports generated and provided to the auditors. For Phase 3, agents were expanded to the rest of the corporate headquarters team over the course of 6 months, on a business unit by business unit basis. For the final phase, agents were deployed to retail outlets on a store by store basis. Due to the lower quality of database data in these locations, a rules-based policy for credit cards was used. Policy violations automatically generate an email to the store manager, and are reported to the central policy server for followup by a compliance manager. At the end of 18 months, corporate headquarters and 78% or retail outlets were covered. BuyMore is planning on adding USB blocking in their next year of deployment, and already completed deployment of network filtering and content discovery for storage repositories. Endpoint Enforcement for Intellectual Property Protection EngineeringCo is a small contract engineering firm with 500 employees in the high tech manufacturing industry. They specialize in designing highly competitive mobile phones for major manufacturers. In 2006 they suffered a major theft of their intellectual property when a contractor transferred product description documents and CAD diagrams for a new design onto a USB device and sold them to a competitor in Asia, which beat their client to market by 3 months. EngineeringCo purchased a full DLP suite in 2007 and completed deployment of partial document matching policies on the network, followed by network-scanning-based content discovery policies for corporate desktops. After 6 months they added network blocking for email, http, and ftp, and violations are at an acceptable level. In the first half of 2008 they began deployment of endpoint agents for engineering laptops (approximately 150 systems). Because the information involved is so valuable, EngineeringCo decided to deploy full partial document matching policies on their endpoints. Testing determined performance is acceptable on current systems if the analysis signatures are limited to 500 MB in total size. To accommodate this limit, a special directory was established for each major project where managers drop key documents, rather than all project documents (which are still scanned and protected at the network). Engineers can work with documents, but the endpoint agent blocks network transmission except for internal email and file sharing, and any portable storage. The network gateway prevents engineers from emailing documents externally using their corporate email, but since it’s a gateway solution internal emails aren’t scanned. Engineering teams are typically 5-25 individuals, and agents were deployed on a team by team basis, taking approximately 6 months total. These are, of course, fictional best practices examples, but they’re drawn from discussions with dozens of DLP clients. The key takeaways are: Start small, with a few simple policies and a limited footprint. Grow deployments as you reduce incidents/violations to keep your incident queue under control and educate employees. Start with monitoring/alerting and employee education, then move on to enforcement. This is risk reduction, not risk elimination. Use the tool to identify and reduce exposure but don’t expect it to magically solve all your data security problems. When you add new policies, test first with a limited audience before rolling them out to the entire scope, even if you are already covering the entire enterprise with other policies. Share:

Share:
Read Post

Pure Genius

There is nothing else to say. (Hoff claims he wrote it in 8 minutes). Share:

Share:
Read Post

Individual Privacy vs. Business Drivers

‘I ended a recent Breach Statistics post with “I start to wonder if the corporations and public entities of the world have already effectively wiped out personal privacy.” It was just a thowaway idea that had popped into my head, but the more I thought about it over the next couple of days, the more it bothered me. It is probably because that idea was germinating while reading a series of news events during the past couple of weeks made me grasp the sheer momentum of privacy erosion that is going on. It is happening now, with little incentive for the parties involved to change their behavior, and there is seemingly little we can do about it. A Business Perspective Rich posted a blog entry on “YouTube, Viacom, And Why You Should Fear Google More Than The Government” on this topic as well. Technically I disagree with Rich in one regard, that being to have a degree of fear for all parties involved as Viacom, Google and the US government are in essence deriving value at the expense of individual privacy. I think this really ties in as companies like Google have strong financial incentives to store as much data on people- both at the aggregate and the personal level- as they can. And it’s not just Google, but most Internet companies. Think about Amazon’s business model and their use of statistics and behavior profiling to alter the shopping experience (and pricing) for each visitor to their web site. My takeaway from Rich’s post was “The government has a plethora of mechanisms to track our activity”, and it is starting to look as if the biggest is the records created and maintained by corporations. Corporate entities are now the third party data harvester, and government entities act as the aggregator. While we like to think that we don’t live in a world that does such things, there are reasons to believe that this form of data management had a deciding factor in the 2000 presidential election with Database Technologies/Choicepoint. We already know that domestic spying is a reality. Over the weekend I was catching up on some reading, going over some articles about how the government has provided immunity to telecom companies for providing data to the government. If that is not an incentive to continue data collection without regard for confidentiality, a “get out of jail free” card if you will, I don’t know what is. I also got a chance to watch the SuperNova video on Privacy and Security in the Network Age. Bruce Schneier’s comments in the first 10 minutes are pretty powerful. He has been evolving this line of thought over many years and he has really honed the content into a very compelling story. His example about facial recognition software, storage essentially being free, and with ubiquitous cameras is fairly startling when you realize everything you do in a public place could be recorded. Can you imagine having your entire four years at high school filmed, like it or not, and stored forever? Or if someone harvested your worst 5 minutes of driving on film over the last decade? Bruce is exactly right that this conversation is not about our security, but the entire effort is about control and policy enforcement. And it is not the government that is operating the cameras; it is businesses and institutions that make money with the collected data. With business that harvest data now seemingly immune to prosecution for privacy rights violations, there are no “checks and balances” to keep them from pursing this- rather they are financially motivated to do so. From cameras on the freeway to Google, there are always people willing to pay for surveillance data. They are not financially incentivized to care about privacy per se; unless it becomes a major PR nightmare and affects their core business, it is not going to happen. My intention with the post was not to get all political, but rather to point out that businesses which collect data need some incentive to keep that consumer information confidential. I don’t think there is a legitimate business motivator right now. CA1386 and associated legislation is not a deterrent. Businesses make their money by collecting information, analyzing it, and then presenting new information based upon what they have previously collected. Many companies’ entire business models are predicated upon successfully doing this. The collection of sensitive and personally identifiable information is part of daily operation. Leakage is part of the business risk. But other than a competitive advantage, do they have any motivation to keep the data safe or to protect privacy? We have seen billions of records stolen, leaked or willfully provided, and yet there is little change in corporate activity in regards to privacy. So I guess what scares me the most about all this is that I see little incentive for firms to protect individual privacy, and that lack of privacy is supported- and taken advantage of- backed by government. Our government is not only going to approve of the collection of personal data, it is going to benefit from it. This is why I see the problem accelerating. The US government has basically found a way to outsource the costs and risks of surveillance. They are not going to complain about mis-use of your sensitive data as they are saving billions of dollars by using data collected by corporations. There are a couple of other angles to this I want to cover, but I will get to those in another post. Share:

Share:
Read Post

NitroSecurity’s Acquisition of RippleTech

‘I was reading through the NitroSecurity press release last week, thinking about the implications of their RippleTech purchase. This is an interesting move and not one of the Database Activity Monitoring acquisitions I was predicting. So what do we have here? IPS, DAM, SIM, and log management under one umbrella. Some real time solutions, some forensic solutions. They are certainly casting a broad net of offerings for compliance and security. Will the unified product provide greater customer value? Difficult to say at this point. Conceptually I like the combination of network and agent based data collectors working together, I like what is possible with integrated IPS and DAM, and I am personally rather fond of offering real-time monitoring alongside forensic analysis audits. And those who know me are aware I tend to bash IPS as lacking enough application ‘context’ to make meaningful inspections of business transactions. A combined solution may help rectify this deficiency. Still, there is probably considerable distance between reality and the ideal. Rich and I were talking about this the other day, and I think he captured the essence very succinctly: “DAM isn’t necessarily a good match to integrate into intrusion prevention systems- they meet different business requirements, they are usually sold to a different buying center, and it’s not a problem you can solve on the network alone.” I do not know a lot about NitroSecurity and I have not really been paying them much attention as they have been outside the scope of firms I typically follow. I know that they offer an intrusion prevention appliance, and that they have marketed it for compliance, security and systems management. They also have a SIM/SEM product as well, which should have some overlapping capabilities with RippleTech’s log management solution. RippleTech I have been paying attention to since the Incache LLC acquisition back in 2006. I had seen Incache’s DBProbe and later DBProbeSec, but I did not perceive much value to the consumer over and above the raw data acquisition and generic reports for the purpose of database security. It really seem to have evolved little from its roots as a performance monitoring tool and was missing much in the way of policies, reporting and workflow integration needed for security and compliance. I was interested in seeing which technology RippleTech chose to grow- the network sniffer or the agent- for several reasons. First, we were watching a major change in the Database Activity Monitoring (DAM) space at that time from security to compliance as the primary sales driver. Second, the pure network solutions missed some of the critical need for console based activity and controls, and we saw most of the pure network vendors move to a hybrid model for data collection. I guessed that the agent would become their primary data collector as it fit well with a SEM architecture and addressed the console activity issue. It appears that I guessed wrong, as RippleTech seems to offer primarily a network collector with Informant, their database activity monitoring product. I am unsure if LogCaster actually collects database audit logs, but if memory serves it does not. Someone in the know, please correct me if I am wrong on this one. Regardless, if I read the thrust of this press release correctly, NitroSecurity bought RippleTech primarily for the DAM offering. Getting back to Rich’s point, it appears that some good pieces are in place. It will come down to how they stitch all of these together, and what features are offered to which buyers. If they remain loosely coupled data collectors with basic reporting, then this is security mish-mash. If all of the real time database analystics are coming from network data, they will miss many of the market requirements. Still, this could be very interesting depending upon where they are heading, so NitroSecurity is clearly on my radar from this point forward. Share:

Share:
Read Post

Move to New Zealand, Get Out Of Jail Free

New Zealand is absolutely my favorite place on the face of the planet. I’ve made it down there twice, once for a month before I met my wife, and once for just under 3 weeks with her as we drove thousands of kilometers exploring as much of both islands as we could. As much as I love it, I don’t think I’d want to live there full time (I kind of like the US, despite our current administration). But the latest news from New Zealand does give me a bit of an itch to head back down and “experiment” with the law. Seems a young fellow made about $31K giving some bad guys software they used to rake in something like $20M. Bad stuff- Mr Walker was detained in the North Island city of Hamilton last November as part of an investigation with US and Dutch police into global networks of hijacked PCs, known as botnets He’s 18, so odds are jail time, right? Like serious jail time? Nope. Judge Judith Potter dismissed the charges, relating to a 2006 attack on a computer system at a US university, saying a conviction could jeopardise a potentially bright career. Nice. Hey, I think I might want to be a security guard at a convenience store, okay if we drop that little assault and robbery thing? I made way less than $31K? Heck, I didn’t steal the cash, I just drove the car, gave someone the gun and ski mask, and… Share:

Share:
Read Post

Best Practices for Endpoint DLP: Part 5, Deployment

In our last post we talked about prepping for deployment- setting expectations, prioritizing, integrating with the infrastructure, and defining workflow. Now it’s time to get out of the lab and get our hands dirty. Today we’re going to move beyond planning into deployment. Integrate with your infrastructure: Endpoint DLP tools require integration with a few different infrastructure elements. First, if you are using a full DLP suite, figure out if you need to perform any extra integration before moving to endpoint deployments. Some suites OEM the endpoint agent and you may need some additional components to get up and running. In other cases, you’ll need to plan capacity and possibly deploy additional servers to handle the endpoint load. Next, integrate with your directory infrastructure if you haven’t already. Determine if you need any additional information to tie users to devices (in most cases, this is built into the tool and its directory integration components). Integrate on the endpoint: In your preparatory steps you should have performed testing to be comfortable that the agent is compatible with your standard images and other workstation configurations. Now you need to add the agent to the production images and prepare deployment packages. Don’t forget to configure the agent before deployment, especially the home server location and how much space and resources to use on the endpoint. Depending on your tool, this may be managed after initial deployment by your management server. Deploy agents to initial workgroups: You’ll want to start with a limited deployment before rolling out to the larger enterprise. Pick a workgroup where you can test your initial policies. Build initial policies: For your first deployment, you should start with a small subset of policies, or even a single policy, in alert or content classification/discovery mode (where the tool reports on sensitive data, but doesn’t generate policy violations). Baseline, then expand deployment: Deploy your initial policies to the starting workgroup. Try to roll the policies out one monitoring/enforcement mode at a time, e.g., start with endpoint discovery, then move to USB blocking, then add network alerting, then blocking, and so on. Once you have a good feel for the effectiveness of the policies, performance, and enterprise integration, you can expand into a wider deployment, covering more of the enterprise. After the first few you’ll have a good understanding of how quickly, and how widely, you can roll out new policies. Tune policies: Even stable policies may require tuning over time. In some cases it’s to improve effectiveness, in others to reduce false positives, and in still other cases to adapt to evolving business needs. You’ll want to initially tune policies during baselining, but continue to tune them as the deployment expands. Most DLP clients report that they don’t spend much time tuning policies after baselining, but it’s always a good idea to keep your policies current with enterprise needs. Add enforcement/protection: By this point you should understand the effectiveness of your policies, and have educated users where you’ve found policy violations. You can now start switching to enforcement or protective actions, such as blocking, network filtering, or encryption of files. It’s important to notify users of enforcement actions as they occur, otherwise you might frustrate them u ecessarily. If you’re making a major change to established business process, consider scaling out enforcement options on a business unit by business unit basis (e.g., restricting access to a common content type to meet a new compliance need). Deploying endpoint DLP isn’t really very difficult; the most common mistake enterprises make is deploying agents and policies too widely, too quickly. When you combine a new endpoint agent with intrusive enforcement actions that interfere (positively or negatively) with people’s work habits, you risk grumpy employees and political backlash. Most organizations find that a staged rollout of agents, followed by first deploying monitoring policies before moving into enforcement, then a staged rollout of policies, is the most effective approach. Share:

Share:
Read Post

Upcoming: Database Encryption Whitepaper

We are going to be working on another paper with SANS- this time on database encryption. This is a technology that offers consumers considerable advantages in meeting security and compliance challenges, and we have been getting customer inquiries on what the available options are. As encryption products have continued to mature over the last few years, we think it is a good time to delve into this subject. If you’re on the vendor side and interested in sponsorship, drop us a line. You don’t get to influence the content, but we get really good exposure with these SANS papers. Share:

Share:
Read Post

San Francisco Needs A Really Good Pen Tester

‘Direct from the “you can’t make this up” department, this news started floating around a couple days ago: JULY 15, 2008 | 11:55 AM – Right now, San Francisco computer experts are frantically trying to crack an exclusive administrative password of one of their former computer engineers who”s sitting in jail for basically holding the city”s new multimillion-dollar network hostage. Terry Childs, 43, is cooling his heels in the slammer on charges of computer tampering for configuring sole admin control of the city”s new FiberWAN network so that no other IT officials can have administrative rights to the network, which contains email, payroll, law enforcement, and inmate booking files’ apps and data, according to a published report. Childs apparently gave some passwords to police that didn”t work, and refused to give up his magic credentials when they threatened to arrest him. Seems he set up the password lockout to ensure he didn”t get fired after he was cited for poor performance on the job. There really isn’t much to say, but if you are a kick ass pen tester in the Bay area (perhaps someone booked for a lewd offense you wouldn’t like to see plastered on the Internet) I suspect there’s a potential gig out there for you. Share:

Share:
Read Post

Stolen Data Cheaper

‘It’s rare I laugh out loud when reading the paper, but I did on this story. It is a great angle on a moribund topic, saying that there is such a glut of stolen finance and credit data for sale that it is driving prices down. LONDON (Reuters) – Prices charged by cybercriminals selling hacked bank and credit card details have fallen sharply as the volume of data on offer has soared, forcing them to look elsewhere to boost profit margins, a new report says. The thieves are true capitalists, and now they are experiencing one of the downsides of their success. What do you know, “supply and demand” works. And what exactly are they going to do to boost profit margins? Sell extended warranties? Maybe it is just the latent marketeer in me coming to the fore, but could you just imagine if hackers made television commericals to sell their wares? Cal Hackington? Crazy Eddie’s Datamart? It’s time to short your investments in Cybercriminals, Inc. Share:

Share:
Read Post

After Action Report: What Fortinet Should Do With IPLocks

When Fortinet acquired parts of IPLocks it was a bit of a bittersweet moment. When I started my career as an analyst, IPLocks was the first vendor client I worked with. I was tasked with covering database security and spent a fair bit of time walking clients through methods of improving their database monitoring; mostly for security in those days, since auditors hadn’t yet invaded the data center. It was all really manual, using things like triggers and stored procedures since native auditing sucked on every platform. After a few months of this I was connected with IPLocks- a small database security vendor with a tool to do exactly what I was trying to figure out how to do manually. They’d been around for a few years, but since everyone at this time thought database security was “encryption”, they bounced around the market more than usual. Over the next few years I watched as the Database Activity Monitoring market started to take off, with more clients and more vendors jumping into the mix. IPLocks always struggled, but I felt it was more business issues than technology issues. Needless to say, they had some leadership issues at the top. Since I hired Adrian, their CTO until the sale to Fortinet, it isn’t appropriate for me to comment on the acquisition itself. Rather, I want to talk about what this means to the DAM/ADMP market. First up is that according to this press release, Fortinet acquired the vulnerability assessment technology, and is only licensing the activity monitoring technology. As we dig in, this is an important distinction. IPLocks is one of only two companies (the other being Application Security Inc.) with a dedicated database VA product. (Imperva and Guardium have VA capabilities, but not stand-alone commercial products). From that release, it looks like Fortinet has a broad license to use the monitoring technology, but doesn’t own that IP. Was this a smart acquisition? Maybe- it all depends on what Fortinet wants to do. On the surface, the Fortinet/IPLocks deal doesn’t make sense. The products are not well aligned, address different business problems, and Fortinet only owns part of the IP, with a license for the rest. But this is also an opportunity for Fortinet to grow their market and align themselves for future security needs. Should they use this as the catalyst to develop an ADMP product line, they will get value out of the acquisition. But if they fail to advance either through further acquisitions or internal development (with significant resources, and assuming their monitoring license allows) they just wasted their money. Sorry guys, now you need a WAF. In the short term they need to learn the new market they just jumped into and refine/align the product to sell to their existing base. A lot of this will be positioning, sales training, and learning a new buying cycle. Threat management sales folks are generally unsuccessful at selling to the combined buying center focused on database security. Then they need to build a long term strategy and extend the product into the ADMP space. There is a fair bit in their existing gateway technology base they can leverage as they add additional capabilities, but this is not just another blade on the UTM. It’s all in their hands. This isn’t a slam dunk, but is definitely a good opportunity if they handle it right. Share:

Share:
Read Post
dinosaur-sidebar

Totally Transparent Research is the embodiment of how we work at Securosis. It’s our core operating philosophy, our research policy, and a specific process. We initially developed it to help maintain objectivity while producing licensed research, but its benefits extend to all aspects of our business.

Going beyond Open Source Research, and a far cry from the traditional syndicated research model, we think it’s the best way to produce independent, objective, quality research.

Here’s how it works:

  • Content is developed ‘live’ on the blog. Primary research is generally released in pieces, as a series of posts, so we can digest and integrate feedback, making the end results much stronger than traditional “ivory tower” research.
  • Comments are enabled for posts. All comments are kept except for spam, personal insults of a clearly inflammatory nature, and completely off-topic content that distracts from the discussion. We welcome comments critical of the work, even if somewhat insulting to the authors. Really.
  • Anyone can comment, and no registration is required. Vendors or consultants with a relevant product or offering must properly identify themselves. While their comments won’t be deleted, the writer/moderator will “call out”, identify, and possibly ridicule vendors who fail to do so.
  • Vendors considering licensing the content are welcome to provide feedback, but it must be posted in the comments - just like everyone else. There is no back channel influence on the research findings or posts.
    Analysts must reply to comments and defend the research position, or agree to modify the content.
  • At the end of the post series, the analyst compiles the posts into a paper, presentation, or other delivery vehicle. Public comments/input factors into the research, where appropriate.
  • If the research is distributed as a paper, significant commenters/contributors are acknowledged in the opening of the report. If they did not post their real names, handles used for comments are listed. Commenters do not retain any rights to the report, but their contributions will be recognized.
  • All primary research will be released under a Creative Commons license. The current license is Non-Commercial, Attribution. The analyst, at their discretion, may add a Derivative Works or Share Alike condition.
  • Securosis primary research does not discuss specific vendors or specific products/offerings, unless used to provide context, contrast or to make a point (which is very very rare).
    Although quotes from published primary research (and published primary research only) may be used in press releases, said quotes may never mention a specific vendor, even if the vendor is mentioned in the source report. Securosis must approve any quote to appear in any vendor marketing collateral.
  • Final primary research will be posted on the blog with open comments.
  • Research will be updated periodically to reflect market realities, based on the discretion of the primary analyst. Updated research will be dated and given a version number.
    For research that cannot be developed using this model, such as complex principles or models that are unsuited for a series of blog posts, the content will be chunked up and posted at or before release of the paper to solicit public feedback, and provide an open venue for comments and criticisms.
  • In rare cases Securosis may write papers outside of the primary research agenda, but only if the end result can be non-biased and valuable to the user community to supplement industry-wide efforts or advances. A “Radically Transparent Research” process will be followed in developing these papers, where absolutely all materials are public at all stages of development, including communications (email, call notes).
    Only the free primary research released on our site can be licensed. We will not accept licensing fees on research we charge users to access.
  • All licensed research will be clearly labeled with the licensees. No licensed research will be released without indicating the sources of licensing fees. Again, there will be no back channel influence. We’re open and transparent about our revenue sources.

In essence, we develop all of our research out in the open, and not only seek public comments, but keep those comments indefinitely as a record of the research creation process. If you believe we are biased or not doing our homework, you can call us out on it and it will be there in the record. Our philosophy involves cracking open the research process, and using our readers to eliminate bias and enhance the quality of the work.

On the back end, here’s how we handle this approach with licensees:

  • Licensees may propose paper topics. The topic may be accepted if it is consistent with the Securosis research agenda and goals, but only if it can be covered without bias and will be valuable to the end user community.
  • Analysts produce research according to their own research agendas, and may offer licensing under the same objectivity requirements.
  • The potential licensee will be provided an outline of our research positions and the potential research product so they can determine if it is likely to meet their objectives.
  • Once the licensee agrees, development of the primary research content begins, following the Totally Transparent Research process as outlined above. At this point, there is no money exchanged.
  • Upon completion of the paper, the licensee will receive a release candidate to determine whether the final result still meets their needs.
  • If the content does not meet their needs, the licensee is not required to pay, and the research will be released without licensing or with alternate licensees.
  • Licensees may host and reuse the content for the length of the license (typically one year). This includes placing the content behind a registration process, posting on white paper networks, or translation into other languages. The research will always be hosted at Securosis for free without registration.

Here is the language we currently place in our research project agreements:

Content will be created independently of LICENSEE with no obligations for payment. Once content is complete, LICENSEE will have a 3 day review period to determine if the content meets corporate objectives. If the content is unsuitable, LICENSEE will not be obligated for any payment and Securosis is free to distribute the whitepaper without branding or with alternate licensees, and will not complete any associated webcasts for the declining LICENSEE. Content licensing, webcasts and payment are contingent on the content being acceptable to LICENSEE. This maintains objectivity while limiting the risk to LICENSEE. Securosis maintains all rights to the content and to include Securosis branding in addition to any licensee branding.

Even this process itself is open to criticism. If you have questions or comments, you can email us or comment on the blog.