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Refusal-aware AI router for security teams
Build a multi-model security assistant that routes defensive tasks to the best available model based on refusal likelihood, cost, and past task success. The main value is reliability: users can submit triage, audit, and API-testing prompts once and get the highest chance of a usable answer without manually bouncing between vendors.
Por qué es importante
You are trying to use AI to investigate a bug, review suspicious code, or test an API, but the experience is unpredictable. One model refuses the task, another works but is expensive, and a third is accessible only through a different provider. Even after jumping through approval steps, you still do not know whether the prompt will be accepted. So you keep multiple accounts open, rewrite prompts manually, and waste time rerunning the same job. What you want is not a more powerful model in theory. You want a dependable layer that gets legitimate security work done with the least friction and the lowest token spend.
- · Creado para Small security teams, independent security researchers, and developer-led infrastructure teams performing code review, vulnerability triage, and API security testing..
- · Monetización más probable: SaaS subscription.
El Dolor · Narrativa
You are trying to use AI to investigate a bug, review suspicious code, or test an API, but the experience is unpredictable. One model refuses the task, another works but is expensive, and a third is accessible only through a different provider. Even after jumping through approval steps, you still do not know whether the prompt will be accepted. So you keep multiple accounts open, rewrite prompts manually, and waste time rerunning the same job. What you want is not a more powerful model in theory. You want a dependable layer that gets legitimate security work done with the least friction and the lowest token spend.
Desglose de puntuación
Señal de Mercado
Estrategia de lanzamiento
Independent security researchers and 2-20 person application security teams already paying for at least two model providers.
~30K-80K active global early adopters
Twitter dev community
$79/month
25 paying users who connect two or more model providers and run 200+ routed jobs in 30 days
Alcance del MVP · 1-2 semanas
- Implement a simple web UI for submitting security-related prompts with redaction warnings
- Connect three model backends through direct APIs or a unified gateway
- Create a rule-based router that tags prompts as triage, audit, or API testing
- Log refusal outcomes, latency, and cost per request in PostgreSQL
- Build a manual fallback chain that retries the next model after refusal
- Add a dashboard showing success rate, refusal rate, and cost by model and task type
- Implement prompt rewriting suggestions to preserve defensive framing
- Create reusable templates for common workflows such as issue triage and code audit
- Add API keys, team workspaces, and basic usage metering
- Launch a concierge beta to 10 security-heavy users and collect routed job data
Diferenciación
Por qué esto podría fallar
Autorrefutación: la señal de confianza más importante
- 1Model vendors may tighten terms or block patterns that look like refusal circumvention, limiting product usefulness.
- 2Users with sensitive code may refuse to send security prompts through a new intermediary unless on-prem or strict privacy options exist.
- 3If major vendors improve legitimate security access quickly, the routing pain may shrink before the product gains distribution.
Resumen de evidencia
Cómo la IA sintetizó esta información: sin citas textuales
Discussion participants repeatedly described abandoning one model for another because defensive security tasks were blocked or inconsistently allowed. Roughly a dozen comments centered on refusals, approvals, or the need to switch providers for triage, auditing, and API testing. Several also mentioned cost tradeoffs, showing that a router optimizing both task completion and spend would solve an active workflow problem rather than a hypothetical one.
Plan de Acción
Valida esta oportunidad antes de escribir código
Próximo Paso Recomendado
Construir
Señales de demanda fuertes. Hay dolor real y disposición a pagar — empieza a construir un MVP.
Kit de Textos para Landing Page
Textos listos para pegar, basados en el lenguaje real de la comunidad de Reddit
Titular
Refusal-aware AI router for security teams
Subtítulo
Build a multi-model security assistant that routes defensive tasks to the best available model based on refusal likelihood, cost, and past task success. The main value is reliability: users can submit triage, audit, and API-testing prompts once and get the highest chance of a usable answer without manually bouncing between vendors.
Para Quién Es
Para Small security teams, independent security researchers, and developer-led infrastructure teams performing code review, vulnerability triage, and API security testing.
Lista de Funciones
✓ Prompt classification for benign defensive workflows ✓ Automatic model routing based on refusal history and cost ✓ Fallback chain across multiple model providers ✓ Audit logs showing why a request was rerouted or blocked ✓ Task templates for code audit, issue triage, and API testing
Dónde Validar
Comparte tu landing page en r/HN · front_page — ahí es exactamente donde se descubrieron estos puntos de dolor.
Regístrate para desbloquear el análisis profundo completo
GTM, alcance del MVP, por qué podría fallar, ActionPlan Copy Kit. El registro gratuito otorga 10 vistas detalladas/mes.
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