Swimlane Turbine Security Automation

For example, we receive an alert that a user has accessed a suspicious URL, and therefore, we perform an analysis of that URL and in Swimlane  we document the analysis of our investigation.

I would not be able to estimate the time I have managed to save in daily processes since I started using Swimlane because I don't have that data, but there have been noticeable improvements in the team's efficiency, since having everything integrated and being easier to explain to new people, the learning times are shortened.

I sense that Swimlane was integrated with Sentinel  and maybe BMC Helix , with CrowdStrike as well, though I don't know what integrations it has in the background because we work for an external client.

If I had to think of some minor aspects or details that could be optimized, the dashboards could be more visual, with more visual elements and not so much text.

My main use case for Swimlane  is as a SOAR  platform and for documentation. I use Swimlane  for documentation by documenting all the alerts that we get and adding all of our documentation.

I appreciate the UI and the ease of usability that Swimlane offers. What stands out to me about the UI of Swimlane is how everything has a feature on the side that you can easily move around, which is quite convenient.

Swimlane has positively impacted my organization by helping us quickly work on alerts and document them. From being able to quickly work on alerts and document them, I have seen improved response times and efficiency since we are able to work very easily using the amazing UI and the tool.

Swimlane can be improved by being faster and quicker so it is easier for us and does not hang sometimes.

I have been using Swimlane for two and a half years, almost three years now.

On a scale of one to ten, I would rate Swimlane a nine. I chose nine because it is a pretty great tool and the only reason I did not give a full ten is because there is room for improvement and how it always should be.

Regarding Swimlane's AI capabilities, I have not used it so I cannot say anything about its governance and security. I cannot say anything about the accuracy and reliability of output since I have not used it yet.

My advice to others looking into using Swimlane is to keep an open mind; it might be a lot in the start, but it is an amazing tool. Give it some time, get used to it, get your hands dirty, and you will love this tool after a while. I have no additional thoughts about Swimlane, just keep improving, keep doing what you do, and you are doing a great job. My overall rating for Swimlane is nine out of ten.

My main use case for Swimlane  is security automation workflows, automating most of the daily SOC workflows, especially ticketing, alerting, and reporting.

The main workflow I automated with Swimlane  that helped my team was connecting our SIEM , which is mainly Splunk, to a ticketing system, specifically Jira , with Swimlane in the middle. It automatically gets alerts or notable use cases from the SIEM , processes them through Swimlane, and sends them to Jira , performing a lot of logic and automation, including DFIR and automatic response to specific threats that can be automated.

The best features Swimlane offers are the flexibility of writing your own Python code and the existing workflows with a marketplace for the most known workflows, which is great because you can quickly use workflows similar to those in other solutions.

Swimlane has positively impacted my organization by saving a lot of time, reducing all the manual work that the SOC used to do, and improving response times. It saved about ten minutes for every alert that comes out, and we get hundreds of alerts, meaning it saved many hours every day.

Customizing workflows or scripts in Swimlane was a bit challenging, perhaps too challenging because of how the code base is structured. When writing a new custom Python script for a Swimlane workflow, I had to follow their specific template, which was annoying due to the lack of good documentation at the time. I had to understand how their SDK worked to write Python based on that for defining inputs, values, and outputs to test everything.

To improve Swimlane, I suggest more documentation, more flexibility, and ease in developing new custom workflows and modifying existing ones.

Support from Swimlane is very nice, great, and very supportive. The user interface is solid and does not need updates, but improving the development experience for custom workflows would be beneficial, as edge cases often create issues when building things. Apart from that, Swimlane excels in what it does.

Other improvements Swimlane might need include taking a closer look at the open-source community, as adopting some of that simplicity and flexibility would be beneficial to have.

I have been working in my current field for two years.

Swimlane was somewhat stable; the version we had was kind of buggy, but support indicated we just needed to do updates to resolve the issues, though we did not perform the updates.

Swimlane's scalability was adequate to some extent, but then it needed a DevOps engineer to maintain it properly, which we lacked. The Kubernetes  cluster became hard to maintain because it required a dedicated DevOps engineer to manage the workloads.

Customer support was very helpful and responsive; once I had a disaster, and they provided assistance within the same hour. I would rate customer support a ten.

We chose another solution after Swimlane.

We have seen a return on investment; with the same number of engineers, we now handle double the number of customers, even with the new, larger customers requiring dedicated teams, thanks to the automation we implemented in Swimlane leading to the need for fewer employees.

My experience with pricing, setup cost, and licensing was positive; I was the one maintaining it, not the one who deployed it, but the pricing was very nice with a great discount.

We evaluated options like FortiSOAR , XSOAR, Splunk SOAR , and IBM SOAR  before choosing Swimlane.

My advice for others considering using Swimlane is to ensure it is the right fit for you and to have someone capable of managing the Kubernetes  cluster if you use it on-premises. If not, it is great to have it on the cloud, and you will definitely need people who understand Python for writing custom workflows. I would rate this solution a seven overall.

We are using Swimlane  for automation purposes and security orchestration.

We are using Swimlane 's Playbook Automation. One of the major playbooks that we use in Swimlane is for phishing email automation, so whenever there is a phishing email delivered to a user inbox, Swimlane will automatically sandbox that.

We integrate Swimlane with third-party tools such as CrowdStrike, VirusTotal , URL Proofpoint, and all other different tools we have, so that we get various enrichment of any alerts to make sure that the analyst doesn't spend much time doing manual tasks and gets all the information from the tools in the Swimlane console itself.

We use the case management feature in Swimlane as well. This case management feature is helpful because, in security, we don't want our security incidents to be visible to end users. For example, if I am using ServiceNow , I have to impose many restrictions on the backend table to ensure that whatever incidents are created and written into that table are not available to any end users or other IT team members. We use case management for that purpose so that our security alerts are isolated and only the security team has visibility on them. Whenever we need any remediation, we integrate it with ServiceNow , so if I need to raise a remediation ticket for re-imaging the system, we can create a ticket in ServiceNow from the Swimlane console or from the case management itself with all the proper information.

We do utilize the analytics aspect in Swimlane, and we use their Hero AI module as well.

We also use customizable dashboards in Swimlane because many clients, including CISOs, whom we manage need an executive-level view of what is happening over Swimlane. We create dashboards for them that provide proper information, such as how many alerts were created, what was the mean time to triage, and mean time to respond; we cover all these as KPI metrics in the executive dashboard.

The biggest advantage of Swimlane for us is that it saves time, which in turn helps us in cost-saving.

One of the disadvantages of Swimlane is that to manage the platform, we need hardcore developers. We have recently seen new products such as Tines  and Blink Ops  coming into the market, where a person with a good knowledge of APIs and JSON format can manage the platform and create playbooks. Even a security analyst can create some playbooks on those platforms. However, on Swimlane, it's difficult for security analysts since they must mandatorily know Python to create the playbooks.

In terms of pricing, Swimlane is on the slightly expensive side.

Swimlane is scalable in general, but there are some limitations. It involves maintenance overhead because you need a complete engineer who knows the product in and out to scale it for the on-prem environment, while in a SaaS model, it works without many problems.

Installation can be quite complex, especially when we have to use Kubernetes , and if we need to create load balancing. In those situations, it requires a good engineer to deploy the platform.

In relation to bugs, sometimes the enrichment playbook we have does not enrich the alert, resulting in missing details, so in those scenarios, the automation team has to manually run the playbook again.

Improvements could be made in terms of quality, particularly.

I have been working with Swimlane for almost seven years.

Swimlane is scalable in general, but there are some limitations. It involves maintenance overhead because you need a complete engineer who knows the product in and out to scale it for the on-prem environment, while in a SaaS model, it works without many problems.

I would rate technical support from Swimlane a seven on a scale where ten is the best.

Installation can be quite complex, especially when we have to use Kubernetes , and if we need to create load balancing. In those situations, it requires a good engineer to deploy the platform.

We see these savings approximately close to 30-35%.

In terms of pricing, Swimlane is on the slightly expensive side.

We have recently seen new products such as Tines  and Blink Ops  coming into the market, where a person with a good knowledge of APIs and JSON format can manage the platform and create playbooks. Even a security analyst can create some playbooks on those platforms. However, on Swimlane, it's difficult for security analysts since they must mandatorily know Python to create the playbooks.

I would rate Swimlane a seven out of ten as a product.