Senior Pre-Sales for Information Security at a computer software company with 51-200 employees
Real User
Top 20
2024-08-30T12:38:05Z
Aug 30, 2024
I am currently working with Recorded Future's cloud solution. We provide Recorded Future to our customers as a reseller. We provide the customers with support on the API integration and the bidirectional integration. Mainly, people want the Threat Intelligence Cloud from Recorded Future.
Cybersecurity Engineer at a government with 201-500 employees
Real User
Top 20
2023-11-16T16:23:55Z
Nov 16, 2023
We used Recorded Future to find many things like passwords captured in the dark net and websites selling other information regarding our domains. We use the solution to search for our brand or other institutions on the darknet.
I am working on various alerts related to brand impersonation, typosquatting, abuse domain, and other similar cases. Since the use cases are built-in, I have not created any custom rules.
As an analyst serving several clients, our team relies on Recorded Future to receive timely alerts related to using underground screen searches. This involves using an algorithmic code feature to gather the specific data we need, which then triggers an alert for us. When we receive the alert on the platform, we assess it to determine if it pertains to our client's needs. If it does, we report our findings to the client.
Security Operations Lead at a tech vendor with 10,001+ employees
MSP
2021-04-01T09:42:53Z
Apr 1, 2021
Recorded Future covers a lot of different use cases. For example, we are using it for threat intelligence research. We do use the tool to make active research on what is found around the threat. We look at patterns, for example, and see what can be elaborated on from that. In another use case, we use it to get all the IOCs registered and use it after that to allow other intelligence technologies to feed into that to prevent any issues for customers. We can also use it for active monitoring in the customer interface. We can monitor the business side of a campaign. We can monitor for specific threats or market activity on the dashboard. We can develop queries to run in a continuous mode in order to get the best reviews.
Recorded Future is a powerful and effective cyber threat intelligence (CTI) platform that aims to empower administrators to protect their organizations from threats, both known and unknown. The machine learning engine that Recorded Future utilizes can process the same amount of data that 9,000 analysts working five days a week, eight hours a day for an entire year can process. It simplifies threat detection and remediation so that organizations can focus on other tasks.
Recorded Future...
I am currently working with Recorded Future's cloud solution. We provide Recorded Future to our customers as a reseller. We provide the customers with support on the API integration and the bidirectional integration. Mainly, people want the Threat Intelligence Cloud from Recorded Future.
We used Recorded Future to find many things like passwords captured in the dark net and websites selling other information regarding our domains. We use the solution to search for our brand or other institutions on the darknet.
I am working on various alerts related to brand impersonation, typosquatting, abuse domain, and other similar cases. Since the use cases are built-in, I have not created any custom rules.
As an analyst serving several clients, our team relies on Recorded Future to receive timely alerts related to using underground screen searches. This involves using an algorithmic code feature to gather the specific data we need, which then triggers an alert for us. When we receive the alert on the platform, we assess it to determine if it pertains to our client's needs. If it does, we report our findings to the client.
We use Recorded Future for threat intelligence.
Recorded Future covers a lot of different use cases. For example, we are using it for threat intelligence research. We do use the tool to make active research on what is found around the threat. We look at patterns, for example, and see what can be elaborated on from that. In another use case, we use it to get all the IOCs registered and use it after that to allow other intelligence technologies to feed into that to prevent any issues for customers. We can also use it for active monitoring in the customer interface. We can monitor the business side of a campaign. We can monitor for specific threats or market activity on the dashboard. We can develop queries to run in a continuous mode in order to get the best reviews.