FireGuard

Runtime AI Guardrails

FireGuard is a low-code guardrail and monitoring layer that keeps AI agents secure and compliant—at production speed.

FireGuard Monitoring Dashboard

FireGuard acts like a firewall for AI agents, inspecting every prompt (input) and model response (output) in real time. It blocks malicious requests (prompt injection, jailbreak attempts, data exfiltration) and enforces your policies, business rules, and regulatory constraints—with low latency and seamless integration in just a few lines of code. Configure everything in minutes, not months.

What FireGuard does

Protects inputs

Detects and blocks prompt injection, jailbreaks, unsafe tool-use requests, and sensitive-data extraction attempts.

Protects outputs

Prevents policy violations, restricted topics, unsafe content, and accidental disclosure of confidential data.

Enforces governance

Applies your internal policies + interpretation of frameworks (SOC 2, ISO/IEC 42001, HIPAA, etc.).

Monitors continuously

Dashboards, alerts, audit trails, and risk trends across agents, teams, and environments.

Key capabilities

Low-code integration

Production-ready performance

Integrate in minutes (few lines of code)

Designed for speed

Low latency and high throughput

Built for production workloads

Flexible deployment

Deploy cloud, on-prem, or self-hosted

Choose what works for your infrastructure

The easiest way to configure and customize guardrails

No-code policy builder

For fast iteration

Tailor guardrails

To your use cases, tools, and workflows

Fine-grained controls

Allow / block / warn

FireGuard Policies Interface

From policy document to enforced rules. Fast.

1

Upload your AI policy

Or compliance document

2

FireGuard turns it into rules

Structured, enforceable guardrails

3

Huge time saver

Vs manual rule writing and maintenance

Features

Input + output guardrails (prompt + response filtering)
Malicious prompt detection (injection, jailbreak, exfiltration)
Sensitive data controls (PII/PHI/PCI, secrets, internal data)
Custom policy enforcement (business rules, brand rules, compliance)
Monitoring dashboard (violations, trends, pass/fail, audit evidence)
Action modes: Block • Warn • Allow with logging
Multi-agent support across teams and environments
Deployment options: SaaS • On-prem • Self-hosted

Value proposition

FireGuard replaces months of internal guardrail development with an out-of-the-box platform that is faster to deploy, easier to customize, and continuously auditable.

It helps teams ship AI agents with confidence, reduce security and compliance risk, and maintain alignment with evolving policies—without diverting engineering resources away from building better AI copilots.

Ready to deploy AI protection?

Get a compliance-ready guardrail demo and see FireGuard in action.