LogRhythm SIEM Reviews

We have been using LogRhythm for the last seven to eight years. About a year-and-a-half ago we made a push, which is why I was brought on, to go global with it. The global use case is security only, we're not getting back to the business. It's the first time I've done SIEM that works that way. It's all about feeding the SOC and IR teams and letting them do their job.

We use Dell SecureWorks right now for our SOC. But in a much quicker-than-expected manner - literally a few months after we started really bringing everything in, and we took over teaching them how to use LogRhythm - our SOC has fallen right into line. LogRhythm is already almost replacing Dell SecureWorks and we might be able to get rid of Dell SecureWorks sooner than later.

I was the one who started getting the SOC team involved. I needed to teach them. They were a very frustrating group that didn't want to learn LogRhythm. "No, no, we're doing it our way," and it was very manual. They would pull information from Dell SecureWorks and compare it manually against other information. They were totally against LogRhythm. But very quickly, they changed their minds. Now, we get calls constantly to help support them. The leaders of the SOC, that understood LogRhythm and had some LogRhythm background, have implemented different things that have totally surpassed where we thought, six months ago, we would be. Things are going great.

We have seen a measurable decrease in the meantime to detect and respond to threats.

My primary use case for LogRhythm SIEM is mainly within the financial sectors, like financial services institutions and banks. I utilize it broadly within the banking industry for various use cases.

LogRhythm SIEM has strong machine-learning capabilities with behavioral rules and analysis. The seamless integration for case management, along with a user-friendly dashboard user interface, makes tasks like threat hunting more efficient. 

Analytics and behavioral analysis help me save time with rule creation. Its scalability allows me to add components as needed. Overall, LogRhythm SIEM offers end-to-end visibility with a reasonable price.

We collect from our primary devices and our endpoints and we look to identify any concerns around regulatory requirements in business use. We have payment card industry regulations that we are monitoring, to make sure everything's going the way it's supposed to, as well as for HIPAA, HITECH, and general security practices.

In terms of seeing a measurable decrease in the meantime to detect and respond to threats, we live in the Web Console and we see things when they come in right away, and then we triage.

Our primary use case would be for compliance. We needed a check in the box for compliance. Right now, it's performing and doing its job, allowing us to say that we are compliant with HIPAA, PCI, etc.

It has improved the way our organization functions. It has allowed us to dive deeper into our network and figure out what is going on by parsing logs properly and being able to reduce the time it takes to work cases down from seven days to approximately two days.

LogRhythm has increased productivity because all the tools that we need are in the web UI, allowing us to find threats on our network fast and efficiently.

Our security program is still in its infancy. There is a lot of work that needs to be done. We finally were able to get our SIEM. A few things that we need to do are data loss protection, user behavior analytics, and another feature that LogRhythm offers that we're probably going to invest in the future. The program could use some work, but it is pretty solid now.

We work on a dark site. It's the next generation ground station for the Air Force's GPS system. Our use cases are based mostly on an insider-threat perspective.

We utilize a lot of AI Engine rules within the LogRhythm SIEM to detect different types of privileged-user actions, whether it be escalation of privileges, creation of user accounts, or modification of user accounts. We also use it for IDS rules and firewall rules that are met, in terms of the IDS finding signature attacks.

It has helped our organization because we utilize the SIEM for a lot of analysis, not necessarily for malicious threats at this point, because we're in development. It's helping as far as figuring out how something got changed on the system, because it is in development and things are changing constantly. We are then using that forensic analysis to figure out what was changed, so we can turn it back because, a lot of times, in development, we don't know what caused something to happen.

My primary use case is to alert to any anomalies that may have security relevance as far as some of the industry regulations that apply to our health care, as well as payment card industry.

We have a product that is a security orchestration and response tool Demisto and I think that from the standpoint of automation and response perhaps the first version of the playbooks is not going to compare to the product that we have that's a stand alone for that purpose. However from a price point it's very attractive and I think that as it matures we'll look at probably moving over onto the LogRhythm playbooks if it can support the kind of things that we're leveraging out of this other product and it looks like that's their plan.

It was the same that was brought up in one of the talking sessions. Our users will tend to forward every email they don't like just to be safe. It's a spam review and it takes our analysts then a ton of time to go through. So we have leveraged this to go and read from the mailbox that those spam emails all get forwarded to and then to look and analyze the hashes of any files. They'll hash them or the links in the file or the sender or anything that looks funny and it'll do all the things an analyst will do and make its determinations and then we'll see from there if we have anything to follow up on.

Our ability to respond quickly or the time to detect has dropped significantly. There's some things that we see now that we would have never seen. For example, maybe a domain administrator adding an account to a server's admin group that goes against process and policy but they're doing it to troubleshoot something or whatever. We have never seen that before because of the amount of logs that come out of those Microsoft security logs and the fact that we've got 6,000 servers in our environment. But the other things that we would have seen we still see them faster. When we see something that from the power firewalls that verdict change did pass something through, but now it says it's malicious an attachment on an email or something. We can take action now far faster whereas before we might have got the indication out of our antivirus tool when somebody tried to double click the attachment.

It came in as a compliance package. Now, it is more of a security analytics platform for us, so we try to route relevant security and computer logs. We also have some use cases that we came up with and some of the stuff that LogRhythm provided, which has been the basis of our use of this security platform. 

The company is dedicating me to working on this solution exclusively, so it has been great.

It has helped operationally with things that I have discovered stuff in logs, like errors. Without it, things going wrong would probably have gone undetected. It has certainly helped with some of the general user behaviors going on out there. 

It provides a measurement of the things going on in our organization from a security standpoint. We can either address the issues, or say, "That's the way it is."

Our organisations have data centres which are in need of multiple server security devices, network devices and various other solutions. We utilise this solution to integrate Oracle security logs and use another solution to collaborate between these logs and receive alerts based on configured use cases. 

My work is currently in the government sector and my aim is to enhance the organisation's threat detection and response capabilities. I try to utilise the solution in order to provide comprehensive reports with minimum false positives.

The major feature of this solution is its easy configuration which helps different team members to work on it effectively. This kind of feature is not available in other solutions that need a special team dedicated to configure and extract reports.

Another feature that I really admire is the significant improvement in the compliance in the auditing process by the solution. Our organisation-specific complaints require where the data needs to be forwarded, stored and searchable for a certain time period. This solution categorizes different types of data: cold, warm, and hot data. These features allow faster and easier extraction of any data even if the event was occurring several years ago. I also like other features, especially user behaviour analysis and automation. It studies the user behavior and if there is unusual traffic is recorded from a user, the solution flags it very effectively.