Why people look for a Nightfall alternative
Nightfall is a strong DLP platform with broad SaaS coverage. The reasons engineering teams specifically search for an alternative usually come down to scope and friction:
- Too broad. Nightfall protects Slack, Gmail, Drive, Salesforce, Jira, GitHub, Confluence, Zendesk, Teams, OneDrive, Notion — plus Mac and Windows endpoints. If your problem is just "stop our app from sending PII to OpenAI," that's a lot of scope (and cost) for one slice of the job.
- Compliance-team-led, not engineering-led. Nightfall's positioning targets enterprise compliance teams. Engineers shipping AI features want a developer tool, not a compliance suite.
- No public pricing, no self-serve. Booking a demo to start evaluating a redaction proxy is a high-friction first step.
- Different integration model. Nightfall connects to SaaS apps and endpoints. Grepture sits in the request path between your app and the LLM — a fundamentally different (and for AI traffic, more direct) approach.
Summary: Grepture as the Nightfall alternative
Grepture is an open-source AI gateway focused on the request path between your code and the model providers. Point your existing OpenAI/Anthropic/Google calls at the proxy, choose the PII and secret categories to redact, and the rest is automatic — including reversible tokens so responses stay coherent.
At a glance
| Grepture | Nightfall AI | |
|---|---|---|
| Primary scope | AI request path + shadow AI in browsers | DLP across SaaS, endpoints, browsers |
| Deployment | Network proxy (your code → proxy → model) | API integrations, lightweight agents, browser plugins |
| Buyer persona | Engineering / platform teams | Compliance / security teams |
| Reversible redaction | Native (mask-and-restore) | Blocking and redaction (less emphasis on reversibility) |
| Secret scanning | Built-in (25+ credential families) | Yes, part of broader DLP |
| Browser coverage | Grepture Browse extension for AI chat UIs | Browser plugins across SaaS and AI |
| Pricing | Public (Free, Pro €49/mo, Business) | Contact sales |
| Open source core | Yes | No |
| Setup time | Minutes | Days (enterprise onboarding) |
Where Grepture is the better fit
- The problem you're trying to solve is specifically "PII and secrets leaking into LLM prompts," not "DLP across our whole SaaS stack."
- Engineering owns the project. Developers want a proxy URL, not a compliance dashboard.
- You're running a multi-model setup — OpenAI for one path, Anthropic for another, maybe a local model — and you want one redaction policy across all of them.
- You want reversible redaction so the model never sees user names and credentials but the user still gets their own data back in the response.
- You need to start today on a Free tier, not next quarter after a procurement cycle.
Where Nightfall is still the right call
- You need DLP across the broader SaaS footprint — Slack, Salesforce, Jira, Google Drive, etc. — and AI is one of many channels.
- Your buyer is the compliance org, and they want one tool covering the full data-loss surface.
- You operate at enterprise scale where DLP across endpoints and SaaS is a board-level concern.
Migration path
If you're already on Nightfall for AI traffic specifically, switching is straightforward — Grepture is a drop-in for the LLM request path. If you have existing SaaS DLP, keep it — just route your model calls through Grepture for the AI surface. Sign up at app.grepture.com, point your model base URL at the proxy, and the Traffic Log shows you exactly what's being detected before you enforce.