Secure your AI
before it's too late
FirewallM is a security layer designed for AI traffic. It sits between your apps and models, analyzing prompts, responses, and tool calls in real time.
THE PROBLEM
Every AI touchpoint is an
attack surface.
Companies are integrating LLMs, AI agents, MCP servers, and tools into their workflows. Adoption accelerates, but every new integration opens a door.
Prompt Injection
A malicious input can manipulate model behavior, bypass guardrails, or trigger unintended actions. It only takes a few words in the right place.
Data Leakage
Models can expose credentials, personal data, financial info, and confidential content in their responses. Everything in context is at risk.
Tool & MCP Abuse
A manipulated AI agent can invoke external tools — APIs, databases, file systems, MCP servers — in unintended ways. Real actions, no control.
THE SOLUTION
A firewall that speaks
the language of LLMs.
FirewallM sits between your applications and models, analyzing prompts, responses, and tool calls in real time. Like a traditional firewall — but for AI traffic.
What passes is legitimate. What doesn't is blocked, flagged, or held for approval. No request escapes control.
DASHBOARD
Full visibility into
every interaction.
Real-time monitoring, detailed logs, and aggregated metrics — know exactly what's happening across your AI traffic.
Total Requests
9,660
Blocked
587
PII Redacted
234
Avg Latency
12ms
Requests vs Blocked (7d)
Recent Events
| Time | Type | Description |
|---|---|---|
| 14:32:01 | blocked | Prompt injection attempt detected |
| 14:31:48 | redacted | SSN pattern removed from response |
| 14:31:22 | allowed | Code generation request — all policies passed |
| 14:30:55 | blocked | System prompt override attempt |
| 14:30:11 | allowed | Summarization request — clean |
| 14:29:44 | redacted | API key redacted from model output |
FEATURES
Everything you need to
secure your AI stack.
Prompt Injection Detection
Semantic analysis of every input to detect jailbreaks, system instruction overrides, and indirect injections — including those hidden in documents or tool outputs.
Data Leakage Prevention
Scan model responses to intercept PII, credentials, API keys, financial data, and sensitive patterns before they reach the end user.
Tool & MCP Control
Monitor every external tool and MCP server invocation. Block, rate-limit, or require manual approval for specific actions.
Configurable Policies
A flexible rules engine to define what's allowed and what's not. Each application gets its own context and security profile.
Dashboard & Logging
Full visibility into every filtered interaction. Detailed logs, real-time alerts, aggregated security metrics.
Zero AI overhead
No LLM. No AI. Just deterministic rules.
FirewallM doesn't rely on language models to filter your traffic. It uses lightweight, deterministic engines — pattern matching, policy evaluation, and semantic heuristics — that deliver consistent results every single time.
Run anywhere
On-premise, on a VPS, or through managed cloud — no GPU required, no external API calls for filtering.
Near-zero filtering cost
No per-token charges for security checks. Filtering costs stay flat regardless of traffic volume.
100% consistent
Same input, same verdict — every time. No probabilistic drift, no model hallucinations in your security layer.
USE CASES
Built for teams that
take AI security seriously.
Customer-facing Chatbots
Your chatbot has access to customer data, order history, account info. FirewallM ensures no user can manipulate it to extract others' data or execute unauthorized operations.
Internal AI Agents
Your agents use MCP servers to access Slack, databases, email, file systems. FirewallM defines operational boundaries — even if the agent is manipulated, actions stay controlled.
Regulated Industries
In finance, healthcare, legal, and anywhere compliance is critical, FirewallM provides the control and traceability you need. Every input and output is inspected, logged, and auditable.
Don't leave your AI
applications unprotected.
Beta access is open. Integrate FirewallM and start protecting your AI applications before someone else puts them to the test.