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.
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.
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.
