OSSIM leverages the power of the AlienVault Open Threat Exchange by allowing users to both contribute and receive real-time information about malicious hosts. AlienVault OSSIM is an open source Security Information and Event Management (SIEM) product. It is a unified platform providing: Asset discovery Vulnerability assessment Intrusion detection Behavioral monitoring SIEM OSSIM provides the basis for AlienVault's proprietary Unified Security…
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Elasticsearch
Score 8.4 out of 10
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Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
If this is your first experience with a SIEM, this one can get you started. Take the time to learn the ins and outs of the product and you'll most likely be satisfied with it if your company is an SMB. If you need compliance reports, OSSIM is too small for you, you'll need to go with USM or USM Anywhere.
Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly. Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly. Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it. Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.
Asset discovery. Once installed in a centric, network-accessible server, OSSIM can poll all your endpoints with common protocols (SSH, SNMP, WMI) to detect and discover site-wide assets to monitor. You only need to group them by your own criteria once added to the product.
SIEM Event Correlation. You can define quite complex correlation rules to detect possible suspicious or malicious actions or attempts in your network, in order to categorize them as real threats or as false positives, thus streamlining your risk assessment and management.
Ease of installation. The entire AlienVault OSSIM is self-contained in an ISO file, which can be burned into a DVD or just mounted in your server of choice (physical or virtual) for deployment. The installation process is automated and quote verbosed, with options for static IP, email messaging and others.
Ease of access. Being AlienVault OSSIM a self-contained appliance, it can be accessed via web by any device that supports a web browser, being that desktops, workstation, mobile devices, etc. The OSSIM dashboard and other features are automatically rearranged to adapt to the particular device being in use.
As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.
AlienVault OSSIM is far easy to use and manage - provided you know what you're doing. As any SIEM application, there is some background knowledge required in order to take advantage of the product's functionalities, such as the log correlation and analysis. Other than that, the application is quite usable and robust.
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
Everything is done through MSSP and installation pro services. Once those hours are burned up, then you're on your own without a lot of help. Typically the pro services hours aren't enough to get past 60 days and MSSP are hit and miss. We had a miss for installation helpers.
We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.
Originally my organization leveraged alien value due to the lower cost of entry and ability to manage it as a service provider. Unfortunately, after several years of working with this tool, it became unwieldy to use as it felt that almost every useful report had to be created by hand. As other tools have come out with the ability to do automated responses such as Stellar Data processor, we have begun to evaluate alternatives.
As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.
We have had great luck with implementing Elasticsearch for our search and analytics use cases.
While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.
