The problem: security tools tell you an endpoint is getting hammered, but not whether that matters. Most abuse traffic is noise. Some of it isn't. Teams burn hours figuring out which is which.
Argus closes that gap. When it sees abnormal abuse frequency on an endpoint, it pulls the raw source code behind that endpoint and uses AI to assess whether an attacker could actually cause damage there. So instead of an alert count, you get a damage path or confirmation that there isn't one.
Rabia - your idea is in progress. Remzi - yours is being worked on too.
One bigger update: ORCA will be connected to our new tool, Argus. When an endpoint shows abnormally high abuse frequency, Argus will pull the raw source code for that endpoint and use AI to assess whether an attacker could actually cause damage there - so you get real exploitability context, not just traffic anomalies.
Argus connects your Git repos and runs unified security scans with gitleaks, semgrep, trivy, and syft. AI reviewer verifies every finding, kills false positives, and adds the logic/authorization/business-flow bugs that pattern tools miss. You get one ranked, de-duplicated, source-tagged report instead of four noisy tool outputs. Self-hostable, multi-server agents, per-repo customization.
