The MCP firewall for AI agents
Deploy AI agents
without opening
the doors.
Inline security and automatic EU AI Act evidence for regulated teams — one proxy between your agents and every tool and API.
Business trial · 14 days · no credit card · full compliance engine from day one
MCP — Model Context Protocol
How AI agents connect to the world
MCP is the open standard that lets AI agents call external tools — files, databases, APIs, and more. ShieldAgent sits between your agents and every tool call, making security and compliance automatic.
Three public breaches in the last twelve months used MCP as the attack vector — Supabase via Cursor, Postmark, and CVE-2025-6514 in mcp-remote (437,000 downloads). ShieldAgent would have intercepted all three.
See ShieldAgent in action
Every MCP call inspected. Every threat blocked before it reaches your tools.
Built for your role
One product. Three perspectives.
Choose your role to see how ShieldAgent solves your specific challenges.
MCP Firewall
Inline threat detection for every tool call.
ShieldAgent inspects every MCP JSON-RPC request and HTTP API call in real time. A multi-stage pipeline — policy check, injection scan, DLP — evaluates each request before it reaches the upstream tool. Threats are blocked inline in under 50ms.
- →Prompt injection detection (direct + indirect)
- →Tool poisoning and MPMA detection
- →Dynamic least-privilege enforcement per agent, per tool, per call
- →Shadow mode for risk-free evaluation before enforcement
Compliance Autopilot
EU AI Act documentation from your audit data.
ShieldAgent generates all eight mandatory Annex IV sections from the same data it collects during security monitoring. No manual evidence gathering. Compliance score updates in real time as new audit events are logged.
- →Automatic Annex IV technical documentation
- →Real-time compliance scoring per AI system
- →Gap analysis with severity and deadline tracking
- →Cross-framework mapping: EU AI Act, ISO 42001, NIST AI RMF, SOC 2
Agent Passport
Verifiable security certificates for every agent.
Each AI agent gets a shareable passport — a public URL showing its risk score, compliance status, policy controls, and behavioral history. Like a SOC 2 trust page, but for individual AI systems.
- →Public or private verification URL per agent
- →Risk score, compliance grade, and policy summary
- →Continuous monitoring — passports update in real time
- →Embeddable badges for proposals and documentation
The threat landscape
Every MCP connection is an unguarded attack surface.
Prompt injection via MCP tool calls
43% of public MCP servers contain command injection flaws. Attackers embed malicious payloads in tool responses, redirecting agent behavior at the protocol level.
5% of open-source MCP servers ship pre-poisoned
Tool poisoning attacks modify tool descriptions at the source, turning install-and-trust into install-and-compromise. Your agent follows the instructions it was given — including the malicious ones.
DLP blind spots in the agent-to-tool path
33% of MCP servers allow unrestricted outbound access. Agents can leak credentials, PII, and financial data through tool calls that traditional DLP never sees.
How ShieldAgent works
An inline proxy that inspects every agent request before it reaches the tool.
ShieldAgent sits in the data path between your AI agents and their MCP servers or HTTP APIs. Every tool call passes through a multi-stage security pipeline — policy check, injection scan, DLP — in under 50ms. Nothing reaches the upstream tool without passing inspection.
Zero code changes
Point your agent at the proxy endpoint. Same MCP protocol, same HTTP calls. ShieldAgent is transparent to the agent.
Policy as code
Define allow/block rules per agent, per tool, per parameter. YAML policies version-controlled alongside your code.
Real-time enforcement
Block threats inline, not after the fact. Median added latency under 50ms. p99 under 80ms.
Full audit trail
Every request, every decision, every block — logged to an immutable Merkle-chain audit trail with cryptographic signatures.
“Observability tools tell you what happened. ShieldAgent prevents it from happening.”
MCP Firewall
Prompt injection detection (direct + indirect), tool poisoning & MPMA detection, dynamic least-privilege enforcement per agent, per tool, per call.
HTTP/REST API Proxy
Same security pipeline for Stripe, GitHub, Slack, and internal APIs. One proxy for every agent connection — MCP and HTTP.
unifiedData Loss Prevention
Configurable regex and ML patterns for PII, credentials, financial data. Block or redact before data leaves your perimeter.
Shadow Mode
Deploy ShieldAgent without blocking anything. See what would have been blocked, what vulnerabilities exist, and what your risk score would be.
--mode=shadowHuman-in-the-Loop
High-risk actions trigger approval gates. Configurable thresholds per policy. Slack and webhook integration for review workflows.
SDKs & API
TypeScript and Python SDKs. OpenAPI spec. Verdict API for programmatic security decisions in your own pipelines.
Comparison
Why not just use an observability tool?
Observability tools show what happened. ShieldAgent prevents it from happening.
| Capability | ShieldAgent | Langfuse / Langsmith | Prompt Guard / Rebuff | API Gateways (Kong, etc.) | Manual GRC platforms |
|---|---|---|---|---|---|
| Inline request blocking | ✓ | ✗ | partial | ✓ | ✗ |
| MCP protocol native | ✓ | ✗ | ✗ | ✗ | ✗ |
| HTTP/REST API proxy | ✓ | ✗ | ✗ | ✓ | ✗ |
| Prompt injection detection | ✓ | ✗ | ✓ | ✗ | ✗ |
| Tool poisoning detection | ✓ | ✗ | ✗ | ✗ | ✗ |
| DLP (data loss prevention) | ✓ | ✗ | ✗ | partial | ✗ |
| Policy as code (YAML) | ✓ | ✗ | ✗ | ✓ | ✗ |
| Immutable audit trail | ✓ | partial | ✗ | partial | partial |
| EU AI Act Annex IV generation | ✓ | ✗ | ✗ | ✗ | partial |
| Agent Passport (public) | ✓ | ✗ | ✗ | ✗ | ✗ |
Observability only — no blocking, no enforcement, no compliance.
Injection-only detection — no enforcement, no audit, no compliance.
HTTP-only — no MCP, no AI-specific detection, no compliance.
Compliance documentation only — no runtime security, no blocking.
Observability only — no blocking, no enforcement, no compliance.
Injection-only detection — no enforcement, no audit, no compliance.
HTTP-only — no MCP, no AI-specific detection, no compliance.
Compliance documentation only — no runtime security, no blocking.
ShieldAgent complements your existing observability stack. It handles the security enforcement and compliance evidence that observability tools are not designed to provide.
Get started
From install to enforcement in 5 minutes.
Start in shadow mode, review what ShieldAgent finds, enable enforcement when ready.
Update the MCP endpoint or API base URL in your agent config. No code changes. ShieldAgent proxies the connection transparently.
Write YAML policies for allow/block rules. Per agent, per tool, per parameter. Ship policies alongside your code.
See every request, every threat detected, every block that would have fired. Full visibility before enforcement.
Switch to enforce mode. Threats blocked inline. Audit trail generates automatically. Compliance evidence starts accumulating.
Update the MCP endpoint or API base URL in your agent config. No code changes. ShieldAgent proxies the connection transparently.
Write YAML policies for allow/block rules. Per agent, per tool, per parameter. Ship policies alongside your code.
See every request, every threat detected, every block that would have fired. Full visibility before enforcement.
Switch to enforce mode. Threats blocked inline. Audit trail generates automatically. Compliance evidence starts accumulating.
Why ShieldAgent
Purpose-built for the MCP data path.
ShieldAgent is not an observability overlay or a governance dashboard. It sits inline and makes real-time allow/block decisions on every agent request.
FAQ
Common questions.
Time remaining until EU AI Act enforcement deadline (August 2, 2026): 0 days, 0 hours, 0 minutes, 0 seconds.
Start protecting your agents today.
Book a 20-minute demo, or start the 14-day Business trial and install the proxy in shadow mode in five minutes.