Swimlane provides AI-enabled, low-code security automation for enterprises and managed security services providers (MSSPs). Going beyond traditional capabilities of Security Orchestration, Automation and Response (SOAR), Swimlane unifies security operations in-and-beyond the security operations center (SOC) into a single system of record to help reduce process and data fatigue while helping quantify business value and security effectiveness for security operations leaders, executives and the board. With unlimited integration possibilities, the Swimlane Turbine platform operates at cloud-scale to combine human and machine data into actionable intelligence for security leaders.
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- Ease of use - Out of the box actions (e.g. Base64 encoding/decoding) - Visual playbook editor is top notch
It's can eliminate some manual task and let our engineer focus on others task.
Expedient and efficient responses from support teams. Highly customizable platform. Can go low code or high code depending on need.
- The platform's Python IDE lacks a debugger, you have to test your code in your IDE before deploying it - Limited amount of Python packages available to use - Decisional blocks are not what I expected, you have to deploy a parallel block before in order for the flow to continue, no matter the path you take (IF/ELIF/ELSE situation, but in all situations the playbook must move forward to the same action block)
need directly connected to host. Some of our host using tunnel connection.
Not every connector you may need exists without requesting it. Logging isn't as useful as it used to be in 10.x, the platform I used from Swimlane before Turbine. It exists, but you have to play around with it a bit more to get what you may want.