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The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
I am currently employed as a cyber analyst, and we've recently implemented an Endpoint Detection and Response (EDR) system. Upon closer inspection, I've observed that numerous events are not being flagged as alerts. This raises a crucial question: should I take the initiative to create custom rules to ensure these events are brought to our attention, or should I rely solely on the EDR's intrinsic capabilities to detect and classify threats? As a potential solution, I'm contemplating the implementation of rules based on Sigma, such as those available at the following repository: here. Your insights and experiences on the effectiveness of this approach would be greatly appreciated. Thank you for your time and assistance.
Fo example the usage of living off the land binaries https://lolbas-project.github.io/ , when I've implemented rules in order to detect this ,I've seen a lot of false positive because of the context ,but the rule was correct.