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What a finding looks like

HIGHsvc/main.py:4

requests.get has no timeout or deadline

control RC-019 · rvl explain bfyx

How it works → Features →
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Platform

  • Detect Match your code against real incident patterns. Included in every plan.
  • Correlate Find the low risks that combine into one high risk across services.
  • Architect STPA-inspired hazard analysis of your control structure.

Developer tools

  • rvl CLI Open source scanner. Runs locally. Your code stays on your machine.
  • MCP server Incidents, risks, and controls inside your coding agent.
  • Agent plugins /scan, /ask, and /fix in the coding agent you already use.

Capabilities

  • Risk register Classified, scored, and linked to services and teams.
  • Controls catalog 70 reliability controls with evidence tracking.
  • SOC 2 readiness Coverage by criterion, with current evidence.
Solutions

From an early user

“It's not just telling me the problem, but I can already start to see the matrix beyond it as the same failure class is highlighted across multiple disparate repositories.”

Principal Engineer, ex-Amazon/ex-Google

All solutions →

By use case

  • Pre-commit risk gate Block the risky change before it merges.
  • Guardrails for AI-written code Your agent writes the code. Revelara checks it against real outages.
  • SOC 2 reliability evidence Evidence that stays current between audits.
  • Learn from incidents, public and your own Thousands of public incidents, and your own, become findings in the next diff.
  • Reliability design review Find systemic hazards before you build.

By team

  • Developers Findings in your terminal, with the reason attached.
  • Staff engineers and architects See the same failure class across every repo.
  • Platform and SRE Scale your judgment across every team.
  • Engineering leaders Where risk is dense, and which way it moves.
  • Security and compliance Map engineering controls to audit criteria.
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STPA

Reliability, systems thinking, and what we find while building.

GitHub's February 9 Incidents: What 'Mitigation' Leaves Out

GitHub's February availability report documents two incidents an hour apart with the same root cause. The first mitigation was correct for what the team could see, and it was not the fix. This is a reading of the public report through two lenses, one heuristic and one systems-theoretic.

Shift Left·May 26, 2026

The Observability System I Almost Shipped

I ran our STPA review tool on a PRD I was about to build myself. Seven findings, six loss scenarios, every one of them about interactions between components that individually worked fine.

Reliability·Apr 21, 2026

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