Stop spending 4 hours manually writing incident postmortems. ProdRescue AI reads your Slack threads, correlates logs, and generates board-ready RCAs in 2 minutes.
What’s new in v2.0:
• Autonomous Mode: AI searches your GitHub repo to suggest code fixes.
• Evidence Mapping: Every claim is linked to source logs [1].
• Security-First: PII redacted locally; no log retention.
From 3 AM chaos to a Pull Request—without losing sleep.
Hi everyone! As we launch ProdRescue AI today, I wanted to open a dedicated thread for the two most common questions we get from engineering leads: Data Privacy and Accuracy.
1. Data Privacy & Security: We know logs are sensitive. Our engine is designed to be ephemeral we process logs to generate the report and then they are gone. We don t store your raw logs, and we certainly don t use them to train any AI models. Plus, we have built-in PII masking to scrub sensitive data before it even hits the analysis layer.
2. Evidence-Backed Accuracy: The biggest fear with AI is "hallucination." We solved this by building an Evidence Mapping system. Every claim in a ProdRescue report (like a specific error or a timeline event) includes a direct reference to the exact log line it came from. If the AI can't find the evidence in your logs, it won't put it in the report.
Turn messy logs and Slack threads into board-ready incident reports in 2 minutes. Evidence-backed RCA, no log retention, secure. Built for CTOs, VP Engineering, and SRE.
