Investigate alerts, inspect system evidence and prepare reviewed remediation with IncidentFox.
IncidentFox is an AI incident-investigation platform for engineering teams. It connects alerts with logs, metrics, code and deployment context, then prepares an explanation and possible remediation. The main interaction happens in Slack, where responders can ask follow-up questions and inspect supporting material.
The agent uses connected observability and infrastructure tools to investigate a problem. Screenshots, log files and configuration material can be added to the conversation. Reports and scripts are returned alongside the analysis so a responder can examine more than a short summary.
The company describes learning from code, past incidents and team context during setup. This may help make investigations more relevant, but an inferred root cause still needs validation against the running system. A plausible explanation is not proof that a proposed command is safe.
IncidentFox advertises isolated execution, proxy-based credential injection and action logging. The site describes approval for writes while also offering configurable automatic mitigation for selected runbooks. Teams should verify the active autonomy setting instead of assuming approval is unavoidable in every configuration.
Hosted, private infrastructure and open-core self-hosting options are described. The official page says SOC 2 auditing is in progress, so it should not be represented as completed certification. Public numerical subscription pricing was not established.
Start with read-only investigation of a known incident. Compare the explanation with source evidence and inspect generated scripts line by line. Define rollback procedures and approval owners before allowing writes. Expand access only after responders can audit the agent’s actions and recognise when human investigation must take over.
