Fraud Detection Agent

Agent ID: fraud-detection-agent

Agent Overview
Identifies potentially fraudulent activities or transactions.

Task Description:

Analyze transaction patterns and data anomalies to detect potential fraud using ML models.

Reusability:

Reusable Component

Agent Type:

Complex AI (Multi-step/Reasoning)

Implementation Notes:

Uses a pre-trained machine learning model deployed via Vertex AI for scoring. Genkit flow handles pre/post-processing.

Supporting Teams
Teams responsible for the continuous improvement and monitoring of this agent's efficacy.
AI Core Services
Enterprise Risk Management
Performance & Evaluation Metrics
Key indicators of this agent's operational effectiveness and continuous improvement strategy.

Last Evaluated

2024-07-20

Accuracy

99.5%

Latency

avg 150ms

Cost Per Interaction

$0.003

Interaction & Capabilities (A2A)
Information relevant for Agent-to-Agent communication and skill definition.

Identity (Core A2A):

  • Name: Fraud Detection Agent
  • Unique ID: fraud-detection-agent

Primary Function (A2A):

Analyze transaction patterns and data anomalies to detect potential fraud using ML models.

Defined Agent Skills (A2A Interface):

Skill Orchestration & Execution

The operational logic for this agent, including the invocation and management of its defined skills, is handled by the backend system's orchestration layer. This layer is responsible for the agent's execution sequence, data handling according to its skill schemas, and any necessary interactions with tools or external services. The specific method (e.g., AI model call, deterministic code execution) is detailed in the 'Implementation Notes' within the Agent Overview.

Agent Card JSON (Definition)
The raw JSON representation of this agent's definition, including its skills and evaluation metrics.
{
  "id": "fraud-detection-agent",
  "name": "Fraud Detection Agent",
  "description": "Identifies potentially fraudulent activities or transactions.",
  "isReusable": true,
  "taskDescription": "Analyze transaction patterns and data anomalies to detect potential fraud using ML models.",
  "icon": {
    "displayName": "ShieldAlert"
  },
  "agentType": "ai-complex",
  "implementationNotes": "Uses a pre-trained machine learning model deployed via Vertex AI for scoring. Genkit flow handles pre/post-processing.",
  "responsibleTeamIds": [
    "team-ai-core",
    "team-risk-management"
  ],
  "skills": [
    {
      "id": "detect-fraudulent-activity",
      "name": "Detect Fraudulent Activity",
      "description": "Analyzes transactions or user activity against fraud patterns and models.",
      "inputSchemaExample": "{\n  \"properties\": {\n    \"transactionData\": {\n      \"type\": \"object\",\n      \"optional\": true\n    },\n    \"userActivityLog\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\"\n      },\n      \"optional\": true\n    }\n  }\n}",
      "outputSchemaExample": "{\n  \"properties\": {\n    \"isFraudSuspected\": {\n      \"type\": \"boolean\"\n    },\n    \"fraudScore\": {\n      \"type\": \"number\",\n      \"optional\": true\n    }\n  }\n}"
    }
  ],
  "evaluation": {
    "lastEvaluated": "2024-07-20",
    "accuracy": 0.995,
    "latency": "avg 150ms",
    "costPerInteraction": "$0.003"
  },
  "inputs": [],
  "outputs": [
    "gds-fraud-alert"
  ]
}