Use Cases

Built for teams shipping AI in production

If you are shipping AI features in production, you need an enforcement layer - not just monitoring. The attack surface is the same regardless of industry. The stakes are not.

Who uses WrapSec

Real scenarios. Real exposure.

These are not theoretical threats. They are the failure modes teams encounter after shipping AI features without an enforcement layer in place.

SaaS Developer

You built an AI writing assistant and shipped it to 500 users. Within a week, someone screenshots your bot on Twitter - your entire system prompt is now public.

WrapSec blocks prompt extraction attempts before they reach your model - your system instructions stay private regardless of how users phrase the request.

Consumer App Team

Your AI chatbot is open to the public. Within days of launch, users are generating toxic content, probing for harmful outputs, and exploiting gaps in your content policy.

WrapSec's toxicity detection and input guardrails enforce your content policy on every request - without adding enforcement logic to your application code.

Internal AI Firewall

Your company deployed an AI assistant for staff. Employees paste customer data and internal documents into prompts that forward to an external LLM - nothing in between.

WrapSec proxies every request between your workforce and any LLM - redacting sensitive data before it leaves your network and logging all interactions for compliance.

Fintech Team

Your AI loan advisor processes applications. Users paste SSNs, bank account numbers, and salary details into the chat - all forwarding raw to your LLM provider.

WrapSec redacts 22 PII entity types from prompts before they reach your provider - and from responses before they return to your application in proxy mode.

Healthcare App

Your medical Q&A assistant is being exploited to extract dangerous drug information by rephrasing harmful requests as fictional scenarios or creative writing prompts.

WrapSec's multi-layer detection catches novel jailbreak techniques that single-method approaches miss - including roleplay, rephrasing, and fictional framing.

Legal and Professional Services

Your lawyers use AI to draft documents and research case law. Privileged client details and case information appear in prompts forwarded to cloud LLMs outside your control.

WrapSec is self-hosted - client data never reaches a third-party cloud. PII redaction and an audit trail document your data handling for bar association compliance.

EdTech Platform

Your AI tutoring platform serves students. Within weeks, users are bypassing content guidelines to generate assignment answers and probing the model with inappropriate requests.

WrapSec's toxicity and jailbreak guardrails enforce content policy at the infrastructure level - before the model generates a response, not after the fact.

Enterprise Platform Team

Your company runs AI tools across Finance, HR, Legal, and Support. Each team has different compliance requirements but shares the same model and infrastructure.

WrapSec's per-department policy scoping lets each team operate under independent thresholds - Finance gets strict PII rules, Support gets toxicity filters.

AI Platform Provider

You sell an AI feature to enterprise customers. Each has different data policies and content requirements but they all share the same underlying model and infrastructure.

WrapSec's per-application policy and rate limiting enforce independent rules per customer - thresholds, guardrails, and limits all configured separately.

Security Engineer

Your team is shipping an AI feature next quarter. Your CISO needs documented evidence the integration was security-reviewed and tested before it goes to production.

WrapSec provides a full audit trail with trace IDs, per-detector risk scores, and SIEM-ready CSV export - everything your compliance team needs before sign-off.

You probably don't need WrapSec if...

You're only calling an LLM from internal tooling with no user input - there's no attack surface to protect.

Your application is a prototype or demo not handling real user data or production traffic.

You already have a dedicated AI security platform in place.

You need MCP runtime support or AI agent orchestration - that's not what WrapSec does today.

Get started

See yourself here?

WrapSec is open source, self-hosted, and built to deploy in minutes. Your prompts, your logs, your infrastructure - nothing leaves your environment.

Get Started in 5 minutes How it works