PII guard for debugging and observability tools
Problem
Engineering teams have no reliable way to stop sensitive user data (PII) from leaking into third-party services through the debugging tools, log shippers, error trackers and AI-assisted utilities embedded in their development workflow. As AI coding assistants and external observability services ingest more of the dev loop, the leak surface keeps growing and compliance exposure with it.
Opportunity
A proxy/filter layer that sits between the developer's tooling and third-party services, detecting and redacting PII in logs, payloads and debug output before it leaves the machine or CI environment.
Market analysis
The leak surface is real and growing with AI-assisted dev loops, but cloud observability vendors already ship native redaction and Presidio covers OSS detection for free. The open gap is pre-egress redaction on the developer machine and in CI before data reaches third parties — a narrow wedge that must survive engineers' low tolerance for proxies.
Market · Engineering teams at compliance-sensitive companies (health, fintech, EU); security tooling segment with budget but long sales cycles.
Pricing · Comparables span free OSS (Presidio) to platform add-ons (Datadog Sensitive Data Scanner, LiteLLM enterprise guardrails); a team-tier product would land around $99+/mo per seat or usage-based.
Pros
- + Compliance pressure (GDPR, CCPA, HIPAA) is tightening while AI tooling expands the leak surface.
- + Free OSS detection (Presidio) can be composed instead of building the hard part.
- + Local-first, pre-egress positioning differentiates from cloud-side scrubbing that acts after data has left.
Cons
- − Observability incumbents (Datadog, Sentry) bundle scrubbing natively, shrinking the paid gap.
- − Detection on messy debug payloads is unforgiving: false negatives are catastrophic, false positives break debugging.
- − Security buyers prefer established platforms; developers resist anything sitting in their hot path.
Existing / similar tools
Source
Hacker News (Ask HN)
The uncomfortable detail from the research: every layer of this stack is already defended somewhere — Datadog and Sentry scrub server-side, LiteLLM masks LLM proxy traffic, Presidio detects for free. What none of them cover is the developer’s own machine and CI runners, where AI coding assistants, debuggers and ad-hoc log shippers egress payloads before any platform policy applies. That gap is real, but the buyer mismatch is the killer: the person who feels the pain (the engineer) is not the person with the compliance budget (security and procurement), and engineers historically uninstall anything that sits in their hot path and occasionally mangles a payload. A viable version would target the AI-assistant proxy specifically — traffic there is already consolidated through one endpoint — and sell per-seat to security teams rather than to developers.