We are currently using Elastic search as well for better management of our devices and to keep all the loopholes filled that have been created around the non-upgraded version of Arcsight Enterprise Manager. Elastic searches have the latest mechanism to fetch logs and correlated …
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.
In the current lot of hundreds of SIEM solutions out there in the market, ArcSight ESM is fairly less expensive with strong fundamentals in place. The log ingestion, correlation are very well performing and totally worth ROI. However, the tool has lost its way when it comes to staying abreast with current feature curve of SIEM technology and the evolution has not been done by MicroFocus. Search times are high and there is no major plug-in that has been introduced as part of the product life cycle.
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.
Integration with smart logger and ESM to create rules and easy management of the same.
Easy integration with all end point security management tool(IPS/IDS, Firewall, Anti-Virus) and their consolidated output at a single place to effectively rectifying true and false positives.
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.
Overall, it is a good investment in order for an organization to stay compliant and stay secure from all the wild things happening. It is definitely a cost effective tool with some good features including correlation, log storage, reporting and dashboards. If a customer is looking for advanced set of features, then I would highly not recommend this.
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.
I personally haven't reached the support team, however, the engineers never complained about the Arcsight support team. We had some issues with the tool in the past but every time we reached the support, all issues were resolved in a timely manner.
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.
Multiple platforms are already supported by Arcsight. Support is good. Scripts can be used to get data from multiple threat intel sources & the same can be used in correlation rules to detect any suspicious activity. Reporting features are good & you can check any backdated information within new clicks.
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.
Logger helps us to decrease incident response times.
It also decreased our project times with the man/day calculations. Before this solution, it may take up to 10 men/days to do something. After this, it becomes nearly half of the time.