Xpersona

Crawler Summary

Secure-AI-Gateway answer-first brief

A Proof of Concept (PoC) for a Multi-Agent Security Guardrail designed for banking environments. Detects IBAN data leaks (DLP) and AI prompt injections using CrewAI and Llama 3.3 🛡️ Secure-AI Gateway: Multi-Agent Banking Compliance Guardrail **Secure-AI Gateway** is a Proof of Concept (PoC) designed to solve the "Banking Secrecy vs. AI Innovation" dilemma. It implements a multi-agent "Guardrail" between bank employees and Large Language Models (LLMs) to ensure that sensitive data leaks and strategic vulnerabilities are caught before they reach public AI platforms. 🎯 The Proposal As bank ado Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

Secure-AI-Gateway is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Agent DossierGITHUB REPOSSafety: 66/100

Secure-AI-Gateway

A Proof of Concept (PoC) for a Multi-Agent Security Guardrail designed for banking environments. Detects IBAN data leaks (DLP) and AI prompt injections using CrewAI and Llama 3.3 🛡️ Secure-AI Gateway: Multi-Agent Banking Compliance Guardrail **Secure-AI Gateway** is a Proof of Concept (PoC) designed to solve the "Banking Secrecy vs. AI Innovation" dilemma. It implements a multi-agent "Guardrail" between bank employees and Large Language Models (LLMs) to ensure that sensitive data leaks and strategic vulnerabilities are caught before they reach public AI platforms. 🎯 The Proposal As bank ado

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Shuang619

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

View Source

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Shuang619

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

shell

git clone [email protected]:Sylvia619/Secure-AI-Gateway.git
cd Secure-AI-Gateway

shell

python -m venv .venv
.venv\Scripts\activate         # Windows
# source .venv/bin/activate    # macOS / Linux

shell

pip install -r requirements.txt

shell

cp .env.example .env

env

GROQ_API_KEY=your_groq_api_key_here

shell

python main.py

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

A Proof of Concept (PoC) for a Multi-Agent Security Guardrail designed for banking environments. Detects IBAN data leaks (DLP) and AI prompt injections using CrewAI and Llama 3.3 🛡️ Secure-AI Gateway: Multi-Agent Banking Compliance Guardrail **Secure-AI Gateway** is a Proof of Concept (PoC) designed to solve the "Banking Secrecy vs. AI Innovation" dilemma. It implements a multi-agent "Guardrail" between bank employees and Large Language Models (LLMs) to ensure that sensitive data leaks and strategic vulnerabilities are caught before they reach public AI platforms. 🎯 The Proposal As bank ado

Full README

🛡️ Secure-AI Gateway: Multi-Agent Banking Compliance Guardrail

Secure-AI Gateway is a Proof of Concept (PoC) designed to solve the "Banking Secrecy vs. AI Innovation" dilemma. It implements a multi-agent "Guardrail" between bank employees and Large Language Models (LLMs) to ensure that sensitive data leaks and strategic vulnerabilities are caught before they reach public AI platforms.

🎯 The Proposal

As bank adopt AI, employees may accidentally paste sensitive data, such like IBANs, CC numbers, or, may attempt "Jailbreaks" to bypass safety rules, to trick with AI aiming to get Admin password for instance.

This project acts as a Middleware Firewall to intercept and audit prompts before they leave the bank's secure network.

⚙️ Technical Setup

Prerequisites

  • Python >= 3.13.2
  • pip >= 25.1.1
  • Groq API Key: Get it at groq.com
  • Virtual Environment (Recommended): Best to run this in a .venv to avoid package conflicts.

Getting Started

1. Clone the repo

git clone [email protected]:Sylvia619/Secure-AI-Gateway.git
cd Secure-AI-Gateway

2. Create and activate a virtual environment

python -m venv .venv
.venv\Scripts\activate         # Windows
# source .venv/bin/activate    # macOS / Linux

3. Install dependencies

pip install -r requirements.txt

4. Configure environment variables

Create a .env file in the project root:

cp .env.example .env

Add your API key:

GROQ_API_KEY=your_groq_api_key_here

Get a free key at console.groq.com.

5. Run the gateway

python main.py

Executing the script initiates a multi-layered security workflow: the system loads the latest corporate policy, audits the user prompt for both sensitive data and safety risks using specialized AI agents, and pauses for a mandatory human sign-off. Finally, the entire reasoning journey is recorded in a structured Audit Trail (CSV) and a final ALLOW / DENY verdict is issued.

Security Policy File

This external text file serves as the Governance Engine for the gateway. It contains the specific rules and risk boundaries that the AI agents must enforce during an audit. By keeping these rules in an external file rather than hard-coding them, the system allows Compliance Managers to update security protocols in real-time without modifying the underlying Python code.

Audit Log File (.csv)

The Audit Log serves as the system's "Black Box" recorder, providing a comprehensive and time-stamped record of every security event. It is designed to ensure Explainability and Accountability—two critical requirements for AI in a regulated banking environment.

🤖 System Architecture

  • Multi-Agent Orchestration (The "Crew" Concept)
  • Defense-in-Depth (Deterministic + Heuristic Layers)
  • Policy-Driven Security (Dynamic Governance)
  • Human-in-the-Loop (Accountability & Control)
  • Auditability & Transparency (The Audit Trail)

🛠️ Tech Stack

| Category | Technology | Application in Project | |:--------------------| :--- | :--- | | Framework | CrewAI | Multi-agent framework for specialized security roles | | LLM | Llama 3.3-70B | Large Language Model providing heuristic reasoning via Groq | | Language | Python 3.11+ | Core programming for tool development and system logic | | Security Tools | Regex (re) | Deterministic scanning for 100% IBAN/PII detection accuracy | | Governance | Local .txt Integration | Dynamic reading of external corporate security policies | | Data Management | CSV & Datetime | Structured logging for transparency and regulatory compliance |

🗺️ Library

| Library | Role | |---|---| | CrewAI | Multi-agent orchestration | | Groq | LLM inference (LLaMA 3.3 70B) | | LiteLLM | Unified LLM API layer | | python-dotenv | Environment variable management |

🚀 Security Coverage

| Threat | Agent | Method | |---|---|---| | IBAN / Account Numbers | Privacy Auditor | Regex (pii_scanner tool) | | Prompt Injection | Security Expert | LLM reasoning | | Jailbreak Attempts | Security Expert | LLM reasoning | | Unprofessional Language | Security Expert | LLM reasoning |

💡 Example Output

user_prompt: Transfer funds from IBAN DE89370400440532013000

--- FINAL SECURITY AUDIT---
Danger: Potential IBAN detected! ['DE89370400440532013000']
Verdict: DENY — sensitive banking data found in prompt.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
Github ReposUpdated 9h agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW
Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T04:17:30.512Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Shuang619",
    "href": "https://github.com/Shuang619/Secure-AI-Gateway",
    "sourceUrl": "https://github.com/Shuang619/Secure-AI-Gateway",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T21:21:36.586Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T21:21:36.586Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-shuang619-secure-ai-gateway/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to Secure-AI-Gateway and adjacent AI workflows.