What is your primary use case for Cortex?

I use Cortex.io for cataloging and architecturing the catalog. I have used Cortex.io for eliminating tribal knowledge by creating a single automated system. Cortex.io maps all microprocesses, mono records, and machine learning models. It also has a Kafka topic integrated into it. Once we get a topic, we use that living context graph and then we can have a proper systematic deployment. The teams can instantly look into whatever specific component or dependencies it has. They can activate a deployment status, which can have a Slack channel integrated into it. Cortex.io has helped all the teams to integrate and work with a single skill.

Cortex.io is used at Cedric Masters to automate our after-sales operations, specifically when customers bring in vehicles for service. From the moment a customer walks in with their vehicle through invoicing and departure, to the purchasing of parts, Cortex.io supports the entire process. When a customer walks in with their vehicle, customer service personnel enter the issue the customer came in with, whether they need a part change, car part replacement, or servicing. The issue then goes directly to the workshop if a part change is needed, and workshop personnel receive a notification. Upon receiving the notification, workshop personnel automatically check if that part is available, how many units are in stock, the costing, and all relevant details. After obtaining this information, they inform the technician, who verifies part availability and receives approval to begin the job. Once the technician completes the work, they log into Cortex.io and access the portal, after which customer service receives an invoice detailing the total cost of all services provided. The customer then pays based on this invoice. Cortex.io also helps us manage inventory within the workshop.

We are partners, and I stand more like an end user. We usually give Cortex.io's data visualization tool to customers, and that's how we use it.

I have experiences in Cortex.io to centralize overall security and engineering insights and to track the overall health and risk metrics. I use it for monitoring scoreboards, metrics to measure systems' reliability, and the security posture overall. I also track the vulnerabilities and do remediation progress, provide visibility into the team performances and compliance data, and use dashboards to prioritize security and improve overall operations with my team. I drive data-based decisions to reduce risk and improve engineering efficiency. I use Cortex.io daily to track my security and the operational health metrics for services. For example, I use it to monitor service scoreboards that measure things such as vulnerability backlogs, deployment risk, incident trends, and compliance metrics. When I saw a service with a growing vulnerability backlog, I worked with the engineering team to prioritize remediation tasks and track the progress in Cortex.io. I updated dashboards and metrics so that leadership could see improvements over time, which helped teams make data-driven decisions. It helped them reduce risk by ensuring vulnerabilities were addressed in a timely manner, and everything was fixed promptly. Another example of how I used Cortex.io is that I used it to monitor security and compliance health across our services. I review service scoreboards and metrics that track open security findings, configuration compliance, incident response performance, and deployment risk indicators. When a service showed non-compliant configurations or any open findings, I notified the engineering teams, helped prioritize remediation, and tracked progress in Cortex.io dashboards. I provided updates so leadership could measure improvements. Overall, this ensured security issues were addressed proactively and in a timely manner, giving teams clear visibility into the risk. I check dashboards and metrics regularly as part of my daily workflow and use the data to guide security and operational improvements.

I use Cortex.io for cloud security to check vulnerabilities and for application security to check misalignments, misconfigurations, and open scanning of vulnerabilities in the environment, in the cloud environment. My main use case for Cortex.io is cloud security.

I have been using Cortex for 12 years. My main use case for Cortex is working on a daily basis, sometimes for programming and sometimes for supporting clients. A quick specific example of how I use Cortex is when a customer reports that the IMXRT 1170 board occasionally doesn't boot from flash after a power cycle. I sometimes have a customer who wants below 10 milliamps on RT1170, so for low power debug, I use the WFI instruction to enter sleep mode.

With Cortex, we can automate the analysis of all the alerts. We use it to automate any kind of activity.

Cortex is an automation tool, which I have used to make manual processes flow in an automated way. We need to create flows to automate the manual processes. Cortex orchestration, which I have used to make process automations. That is the Cortex Automation.