It is mostly centralized logging, a whole bunch of BI metrics, and an aggregation point, which we have adulterated for some PCI data.
It does meet our use case for the most part.
It is mostly centralized logging, a whole bunch of BI metrics, and an aggregation point, which we have adulterated for some PCI data.
It does meet our use case for the most part.
We like the dashboard creation and the ease with which we can harness the APIs to create custom BI dashboards on the fly. This adds most value for us. The nature of some of our microservices that I have run on the cloud are mixed workloads, wherein with the flow of data, it can change over time. In order to adjust for this, and cater to the needs of some of our internal customers, BI dashboards need to be created, tweaked, and modified. Also, doing this by hand is next to impossible. Therefore, we have strung all of this through a programmatic pipeline, which s something which we like because it is easier for us to harness it utilizing the API.
For on-premise, it's more about optimization. With such a heavy byte scale of data that we are operating on, the search for disparate data sometimes takes about a minute. This is understandable considering the amount of data that we are pumping into it. The only optimization that I recommend is better sharding, when it comes to Splunk, so that data retrieval can be faster.
With the AWS hosted version, we have not hit this bottleneck yet, simply because we are not yet at the multiple terabyte scale. We have hit with the on-premise enterprise version. This is a problem that we run into every so often. We don't run into this problem day in and day out. Only during the month of August through October do we contend with this issue. Also, there is a fair bit of lag. We have our ways to work around it. Between those few months, we are pumping in a lot of data. It is between 8 to 10 terabytes of data easily, so it is at a massive scale. There are also limitations from the hardware perspective, which is why it is an optimizing problem.
On the cloud, we are pushing through less than half a petabyte of data. So far, it has been fairly stable because it runs on all the underlying AWS infrastructures. Therefore, we have had no issues at all. In terms of availability or outages that we've experienced, there haven't been any. We've been fairly happy with the overall landscape of how it works on AWS.
On cloud, we absolutely like it. Splunk AMIs make it easy for us to spin up a Splunk cluster or add a new node to it. For our rapid development and scale of deployments in terms of microservices and the number of microservices that we run, we have had no problems here.
On-premise requires a lot of planning, which happens on a yearly basis. We have Splunk dedicated staff onsite for on-premise to help us through this.
We have 450 people making use of Splunk in our organization, and there was a bit of knowledge transfer needed on how to write a Splunk query. So, there is a bit of a learning curve. Once you get over it, it is fairly simple to use. We also have ready-made Splunk queries to help people get started.
We do deal with technical support on an ongoing basis. They can definitely do better from a technical point of view. Their only purpose working onsite is to make sure that our massive set of Splunk clusters are online, and the clusters are tuned well enough to work well.
We would expect the technical support people onsite to be subject-matter experts of Splunk. We have seen in a few areas where we have been left wanting more, wherein some of our engineers happen to know more than them in terms of some of the query optimizations, etc. This is where we think there is a fair amount of improvement that can be done.
We wrote the automation to bootstrap everything onto AWS, which was fairly easy. As long as we had all the hooks going into AWS, and we had the SDK. So, we did not have too much trouble getting the bootstrap up and running.
Some of the insights that we have obtained as a part of using Splunk have greatly helped us in increasing our revenue in terms of selling our products.
We have seen a decent ROI. For the month of October 2018, when we had a product launch, we were able to query and generate BI dashboards on the fly. This was huge, and not possible two and a half to three years back because it was more of a manual process. Now, with APIs being available, it is very simple to tweak or write a small piece of glue code to go ahead and create a new dashboard for a business unit to make near real-time decisions to focus more on other geographies when launching the product.
I wasn't there when the evaluation was done. When I came on board, this product was handed down to me, and we have not evaluated any other solutions or products since then.
Make sure it fits your use case. Be clear about what you want to achieve, get out of the product, and how you want to integrate it. Once you tie the solution into your systems, it is not trivial or easy to walk away from. Therefore, due diligence needs to be made to understand what your requirements are before choosing a product. Some companies may not even want to host, and prefer to go the managed services route.
We have it integrated with every product that I can think of.
We use both the AWS and on-premise versions. The AWS hosted version typically caters to all the microservices that we run on AWS, so there is a clear segregation between on-premise and cloud. In terms of usability and experience, both of them have been similar. We have seen a few bottlenecks on the cloud, but that can probably be attributed more on the user side of the house in terms of the way we write our applications and the type of payloads that we sent this month. This is an optimization which is ongoing from our end. Other that, we have been fairly happy with Splunk and what we get out of it.
I work in the HIPAA industry. I work at a healthcare company in Puerto Rico. HIPAA requires us to go over security risks. Our use case right now is to be compliant.
In our hierarchy, we have 1000 servers and 16,000 endpoints. We also have 100 entry points and 3000 VPN connections. It's huge.
Manually, it used to take us a whole day to do strong monitoring. Now, it takes a maximum of two hours because of this product.
It creates a single pane of glass. Plus, it gives us the liberty to do more in terms of use cases, especially since HIPAA wants use cases. We must monitor them. Therefore, we can also add our own correlations for all our use cases.
The dashboard centralizes the daily routine. We used to do this by hand. Now, we go through daily checklists, using the dashboard and setting up the alarms. It helps us to cut down the time on this routine.
I am a cybersecurity director. I manage five different business lines. Every morning, we used to have to go to different tools to get our daily routines done. With Splunk, centralized as it is, we can see everything in one place. We use it not only for monitoring events, but in case we need to do a group call. We can see what's going on, viewing all of the offenses and security events which are happening in our infrastructure.
The Web Application Firewall will send you too much information because it's more dedicated to security than a normal firewall.
It was pretty straightforward. I even did a couple of logs myself.
We implement through a vendor.
We were using QRadar as a POC. We were using for real at our cloud but also it was a POC for us because we were watching the product. But, QRadar needs a lot of fine tuning.
My customers subscribe to many different tools, like CrowdStrike. They ingest all that into Splunk and use it as an aggregator to launch their investigations into any threats detected.
The solution has improved our organization by providing a centralized place to start investigations. It allows us to consolidate everything into one place that kicks everything off so we can map it back to at least that Splunk instance.
The solution's most valuable feature is its data modeling. Splunk has data from so many different vendors. Moving all that or normalizing that to the data models allows us to look at one place holistically across all the different inputs.
The one problem Splunk has is writing correlation searches. My analysts are intimidated to write queries to create correlation searches. It would be good if the solution had some kind of copilot to automate or help write correlation searches. Splunk Enterprise Security should include more automation, AI, and machine learning capabilities.
I have been using Splunk Enterprise Security for three to four months.
We haven’t faced any issues with the solution’s stability.
We haven’t faced any scalability issues with Splunk Enterprise Security.
The end-to-end visibility the tool provides is not that big of a deal. They have so many tools that can do that kind of part. Splunk doesn't have to be the one place for total visibility, but at least for visibility when it consolidates on threats.
Splunk has helped improve our organization's ability to ingest and normalize data. The tool pretty much consumes everything that we have. Everything from dozens of different vendor products gets ingested into Splunk. Splunk Enterprise Security is just that one central place where everything goes.
Splunk Enterprise Security has helped speed up our security investigations. Something that requires someone to work on it at the beginning of the day would not take more than 15 minutes with Splunk Enterprise Security.
Overall, I rate the solution an eight out of ten.
We employed Splunk Enterprise Security for one of our projects. Integrating it into our environment involved opening network ports and making necessary connections.
We had the opportunity to assess visibility in various environments, including on-premises. On-premises visibility has proven to be both satisfactory and advantageous.
We use the threat intelligence management feature.
We have been considering implementing certain frameworks, such as MITRE ATT&CK or threat topology features.
It contributes value by enhancing resilience, crucial for adopting a Security Information and Event Management solution. Site resilience is imperative for our organization, meeting a key security requirement.
I have been working with it for three years.
It provides good scalability capabilities.
The technical support is among the best in the market. While we didn't have extensive interactions with the support team, we are satisfied with it. It offers support services locally in my country. I would rate it ten out of ten.
Positive
The initial setup was straightforward.
The integration and initial setup of Splunk were managed with the assistance of local support.
Overall, I would rate it eight out of ten.
The features are fine; they aren't exceptional in any way.
We are using Microsoft 365 and we're using the Exchange Mail Service. It's good for monitoring that in particular.
The visibility we get has been good.
Inside threat detection capabilities are good.
It's helped us to reduce our alert volume a little. I haven't properly calculated it fully so it's hard to lay out a percentage.
We'd like to have customer service in Hong Kong. I tend to wait a while for their response. We'd like to have more best-practice rules and instructions on how to create a dashboard.
I've only been using Splunk for two years. I make use of it to incorporate other solutions. I need to spend more time mastering Splunk. Sometimes it's a little bit difficult to use. I'd like to get more certificates, et cetera, and have spoken to their main office about that. It's got a high learning curve.
It hasn't helped us speed up security investigations.
I've been using the solution for about two years.
I've never had any issues with Splunk's stability.
The solution does not lack scalability.
I haven't had any communication with Splunk's technical team.
I did not previously use a different solution.
The setup time is quite long. To this point, I haven't deployed it to all servers and devices. I'm still in the process of deploying.
I have not evaluated other options.
We are Splunk customers.
We do not use it in multiple environments. We just use it on-premises.
I'm not yet using the threat intelligence features.
We do not use the mission control feature.
I have not created any customized dashboards as of now. At some point, I will create one for, for example, Windows Security.
I'm still in the process of mastering threat detection and XDR.
I'd rate the solution eight out of ten. I haven't used it for such a long time, so it's hard to give comprehensive details about the solution.
Our initial use case was for security investigation, with the intention of creating some use cases. We ended up adding operational aspects, monitoring certain operational activities, such as high CPU utilization or any other applicational basis.
This is obviously a cloud solution, but it does have some presence on-premises as well, so it's hybrid.
One of the most valuable features is threat hunting. We can do threat hunting and identify if there is any malicious activity happening within our environment, which is a key feature for us.
Splunk could be improved by reducing the cost. The cost is one of the biggest challenges for us in keeping to our production requirements.
As for additional features, I think they need to refine their AI capability. I know that everyone is talking about artificial intelligence and threat hunting, so I guess one of the key requirements for us is for the solution to automatically provide us some kind of indication and then mitigate any risk. So automation should be a feature.
I have been using Splunk for two years.
This solution is excellent from a performance and stability perspective. There's very minimal maintenance required. Basically the only aspect we need to maintain is the one we have on-prem. So patching up everything and making sure it has the required updates.
There are no issues at all in terms of scalability, since this is a cloud-based solution. There are around 25 to 30 users in my company accessing Splunk.
Splunk's support is good. The process was smooth and they provided sufficient support, so there was no need to escalate anything. Also, they provide training on a regular basis, which is good.
I have never worked with other similar products. I've worked for three companies, all of which use Splunk.
The initial setup was very smooth. I think we got some support from the Splunk team. Since it's a cloud-based solution, it took us probably three or four weeks to actually start working. But deploying agents, configuration, refining, fine tuning, and other ongoing activities went on for about a month.
We implemented through an in-house team with some support from the Splunk team. It was a very smooth process, from our perspective.
This solution is costly. Splunk is obviously a great product, but you should only choose this product if you need all the features provided. Otherwise, if you don't need all the features to meet your requirements, there are probably other products that will be more cost-effective. It's cost versus the functionality requirement.
I also evaluated IBM QRadar and LogRhythm NextGen SIEM.
I work in security architectures, not operations, so I don't actually work with Splunk on a regular basis, but the team that does is working on threat hunting and incident management.
I rate Splunk an eight out of ten.
We are currently using it with SIEM, and SOAR which is Security Orchestration, Automation, and Response.
Splunk is primarily used for security, incident response, and security analytics.
Using Splunk, give us the visualization we need, we can easily observe things such as user behavior analytics, irregular traffic, frequency, and any spikes in unusual activity inside the network.
The additional vendors we've brought on board, particularly the Elastic, have been quite beneficial.
It's a solid platform.
Other than the pricing modules, I have no issues with the product itself.
The configuration had a bit of a learning curve.
I would like to learn more about the Cloud solution, but I'm aware that it's lacking some core applications.
If they could bring on more vendors, you would be able to monitor a larger number of applications. We could have visualization with other applications we have with the infrastructure in our organization.
I did a POC, but we have recently procured it. We did a rudimentary setup to get an understanding of how it works. We are into our sixth month of using it now.
Splunk is a very stable solution.
This solution is quite scalable.
In our organization, we have 10 users, who use this solution but we have plans to increase our usage.
The technical support has been quite helpful.
The previous solution was limited in its functionality.
We were looking at the additional controls that enterprise security may have, as well as visualization, to gain greater visibility.
Splunk offered us more visibility.
The initial setup was complex.
We had some assistance with the actual deployment, but while I was doing the POC, I was working with a vendor. There were things I had to do myself, such as the configuration, which was a bit challenging for me, it was a big learning curve.
For the installation, we received some assistance from the vendor.
It's too early to know if there will be a return on investment.
The pricing modules could be improved.
The licensing fees are paid on a yearly basis.
There is a standard license with provisions for more. As we are still exploring the functionality, there may be other departments that want to use it.
Those who are interested in implementing this solution should be prepared to dig deep into their pockets.
I would rate Splunk a nine out of ten.
I have some experience with the solution, since I am working with customers who are interested in part time help monitoring their network and have been helping them fine-tune the rules in the solution's platform. The way the primary task works is to watch for and then respond to the threat. Should there be a need, I usually work with a team in fine-tuning the rules on this platform. We are providing the products.
I recently started working primarily on the Playbooks of the Splunk Phantom, so I've been creating some of these to help the customer automate the process of responding to the threats.
What is nice about the solution is that it makes it easy to build the queries, search for the events and then do analysis. I recently have become involved in the Playbooks, since it is painful for the client to respond to the threat, be it positive or negative. As such, I currently see the Phantom component of the solution to be of great value. Otherwise, most other features seem to be similar to Netwitness, such as the monitor log, network, and endpoint capabilities. Importantly, the solution lacks endpoint options, as these are currently deployed on Cisco, which is okay, as it works fine with that bad side of the endpoint security. This translates into them building queries, rules and then Playbooks.
The main advantage of the solution is that it provides an easy setup platform in the new environment. When set up afresh, it is also easy to build queries. Historical queries can be used to site for a new event, which makes it easy to use, deploy and understand.
Endpoint access is the only issue I can think to mention, even though the endpoint access we have with Cisco is fine.
I have been engaged in the production environment of Splunk for around a year and have been reading up on it for a long time.
I would rate Splunk as one of the big five platforms. I would give it a high rating based on the efficiency of the platform.
Splunk allows one to easily scale up this platform. One can add more interfaces to that platform if he gets more data.
I usually rely on the Splunk community for information, such as discussions of incidents and other issues which others are facing. I feel the Splunk community to be an excellent source of information for me.
Out of the three platforms I have been dealing with, I feel the initial setup of Splunk to be the easiest. I found it a bit difficult to set up a new environment with RSA Netwitness. Splunk, on the other hand, I have found to be very straightforward and an uncomplex platform.
I have been proposing to management to take the solution to be a primary product in our dealings with it. We do not encounter many issues involving the solution. One of the problems I have with the RSA Netwitness platform is its complexity. Splunk is straightforward for us when it comes to views and it provides us the network security posture.
The ability for the solution to work with Cisco shows that the solution can work with other products. The only thing is that when the solution is compared with other vendors, one sees that there is only a single other vendor that has endpoint security like this one, Netwitness platform having its component for the endpoint. This is why an integrated endpoint would be a nice feature, even though the solution works on Cisco.
The main advantage of the solution is that it provides an easy setup platform in the new environment. When set up afresh, it is also easy to build queries. Historical queries can be used to site for a new event, which makes it easy to use, deploy and understand.
When it comes to a data platform, there is RSA NetWitness, which may also be a good platform. I have not done much training of my own on Splunk, but have gained much experience through learning and working with clients that I support. This is because the platform is understandable.
I would rate Splunk as one of the big five platforms. I would give it a high rating based on the efficiency of the platform. Clearly, I cannot include Wazuh in the top five categories, as its rating is not up there with Splunk, Qradar and LogRythm.
I cannot think of anything disadvantageous about Splunk, as we are talking about a product that I like. I feel the solution has beautiful features.
The decision to go with Splunk would depend on the business needs of the individual. I know that Splunk has both a cloud and an on-premises option. Sometimes, such as when it comes to conferences, there is no need to move some of the data to the cloud for the purpose of complying with regional requirements. There may be a need to retain some of it and a person might wish for a mixture of on-cloud and on-premises capabilities.
I rate Splunk as an eight out of ten. It is a robust platform and easy to use.