Manager, Social Catering at a hospitality company with 51-200 employees
Real User
Top 5
Feb 24, 2026
One feature I would love to see in Cortex.io is more advanced real-time threat detection and automated alerting. I feel that this is very important, especially tailored for vulnerability severity and risk prioritization. Currently, Cortex.io provides excellent scoreboards and insights, but having real-time security alerts tied directly to risk levels, with automatic escalation and suggested remediation actions, will make the platform even more powerful in my opinion. This matters because it bridges the gap between observability and active security response, helping prioritize high-severity risks automatically, which can cut down the time spent manually correlating metrics and alerts. One area for Cortex.io's improvement could be deeper automation and actionable recommendations. For example, the automation prioritization for vulnerabilities by risk could have more remediation actions based on historical issues, and also more security tools for real-time alerts.
Cyber Cloud Security & Ai Analyst at a tech vendor with 10,001+ employees
Real User
Top 10
Feb 7, 2026
For now, I cannot think of how Cortex.io can be improved. I do not have more about the needed improvements, even small things that could make my experience better.
Field Application Engineer at a manufacturing company with 10,001+ employees
Real User
Nov 6, 2025
Cortex could do more with a unified low power management framework or enhanced trace and debug visibility by default, and more native support for mixed-criticality scheduling with stronger built-in guidance for memory AR key usage. Cortex is very strong overall, but it could benefit from more standardized low power APIs, easier trace debug access without extra hardware, improved mixed-criticality scheduling support, and clearer tooling documentation around cache, TCM, and memory AR key usage. These improvements would accelerate real-time development and reduce tuning time. Cortex delivers excellent real-time performance, reliability, and a mature development ecosystem. The interrupt architecture, security extensions, power-saving features, and debug visibility are very strong and consistently help deliver stable and efficient embedded systems in real-world projects. There are still areas where the developer experience could be improved further. Power management standardization across vendors could be more unified, making low power bring-up faster and more consistent. More integration on-chip trace options without relying on external hardware would improve field debugging and reduce development time. Additionally, built-in support for mixed-criticality workloads such as voice, audio DSP, connectivity, and application logic would simplify running complex pipelines with less tuning. These improvements would make Cortex even more efficient to work with and enhance the entire development workflow. One additional improvement I think would be valuable for Cortex is having more built-in tooling or guidance for real-time performance profiling directly on the core, especially lightweight integrated ways to visualize interrupt timing, CPU loading, and memory bandwidth usage without requiring an external trace module. A lightweight standardized real-time profiling interface such as SR timing, CPU load, and memory bandwidth, along with more reference material for optimal memory hierarchy usage, would make development even smoother.
Technical Lead at a tech vendor with 10,001+ employees
Real User
Top 10
Jul 5, 2024
First of all, it's not very user-friendly. It's quite lagging and not very fast. I believe it's developed in C#, which makes it a bit slow. There are many hidden structures, so sometimes the flow gets stuck. We have communicated with Cortex community, and they are still working on these issues. System slowness and performance are the main concerns.
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One feature I would love to see in Cortex.io is more advanced real-time threat detection and automated alerting. I feel that this is very important, especially tailored for vulnerability severity and risk prioritization. Currently, Cortex.io provides excellent scoreboards and insights, but having real-time security alerts tied directly to risk levels, with automatic escalation and suggested remediation actions, will make the platform even more powerful in my opinion. This matters because it bridges the gap between observability and active security response, helping prioritize high-severity risks automatically, which can cut down the time spent manually correlating metrics and alerts. One area for Cortex.io's improvement could be deeper automation and actionable recommendations. For example, the automation prioritization for vulnerabilities by risk could have more remediation actions based on historical issues, and also more security tools for real-time alerts.
For now, I cannot think of how Cortex.io can be improved. I do not have more about the needed improvements, even small things that could make my experience better.
Cortex could do more with a unified low power management framework or enhanced trace and debug visibility by default, and more native support for mixed-criticality scheduling with stronger built-in guidance for memory AR key usage. Cortex is very strong overall, but it could benefit from more standardized low power APIs, easier trace debug access without extra hardware, improved mixed-criticality scheduling support, and clearer tooling documentation around cache, TCM, and memory AR key usage. These improvements would accelerate real-time development and reduce tuning time. Cortex delivers excellent real-time performance, reliability, and a mature development ecosystem. The interrupt architecture, security extensions, power-saving features, and debug visibility are very strong and consistently help deliver stable and efficient embedded systems in real-world projects. There are still areas where the developer experience could be improved further. Power management standardization across vendors could be more unified, making low power bring-up faster and more consistent. More integration on-chip trace options without relying on external hardware would improve field debugging and reduce development time. Additionally, built-in support for mixed-criticality workloads such as voice, audio DSP, connectivity, and application logic would simplify running complex pipelines with less tuning. These improvements would make Cortex even more efficient to work with and enhance the entire development workflow. One additional improvement I think would be valuable for Cortex is having more built-in tooling or guidance for real-time performance profiling directly on the core, especially lightweight integrated ways to visualize interrupt timing, CPU loading, and memory bandwidth usage without requiring an external trace module. A lightweight standardized real-time profiling interface such as SR timing, CPU load, and memory bandwidth, along with more reference material for optimal memory hierarchy usage, would make development even smoother.
It would be more beneficial to integrate threat intelligence in Cortex.
First of all, it's not very user-friendly. It's quite lagging and not very fast. I believe it's developed in C#, which makes it a bit slow. There are many hidden structures, so sometimes the flow gets stuck. We have communicated with Cortex community, and they are still working on these issues. System slowness and performance are the main concerns.