---
title: "LLM firewall tooling — niche opportunity inside Cybersecurity"
url: https://signals.gitdealflow.com/niche-down/cybersecurity/llm-firewall-tooling
description: "WAF for AI agents — prompt injection blocking, output sanitization, policy enforcement at the API boundary."
source: VC Deal Flow Signal
---
# LLM firewall tooling

> WAF for AI agents — prompt injection blocking, output sanitization, policy enforcement at the API boundary.

**Sector**: [Cybersecurity](https://signals.gitdealflow.com/niche-down/cybersecurity)  
**Build cost**: One-quarter build  
**Deal velocity**: Hot — multiple deals per month

## Why now

Every shipped AI agent is a new attack surface. Compliance is just starting to require coverage.

## What the signal looks like

Repos with attack-pattern libraries, multi-model adapters, and policy DSLs.

## Public examples

*Public projects + categories only — we never name founders tracked inside the paid product.*

- Lakera Guard shape
- Prompt Security-style platforms
- Open-source LLM guard libraries

## What this displaces

Hand-rolled regex filters + 'we'll get to it.'

## Our build-vs-invest call

Wedge product. The moat is the attack-corpus + the policy enforcement engine. Watch repos that grow integrations across the top observability platforms.

## Frequently asked

### Is this a feature of observability?

Adjacent. Some observability tools will absorb it. The standalone wedge is still real for 18 months.

### Buyer?

CISOs at AI-deploying enterprises.

### Pricing?

Per-call or per-deployment SaaS.

## Canonical

https://signals.gitdealflow.com/niche-down/cybersecurity/llm-firewall-tooling
