prompt-injection-risk

Name: prompt-injection-risk
Availability: InStock
Author: anotb

Review prompt-injection threat surfaces for GenAI systems in financial services.

Updated May 9, 2026

Search Tags:#risk assessment #cybersecurity #GenAI #financial services #prompt-injection

Ready to run

npx skills add https://github.com/anotb/second-line-financial-services --skill prompt-injection-risk

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prompt-injection-risk
Source: https://github.com/anotb/second-line-financial-services/tree/main/plugins/capability-plugins/ai-governance-model-risk/skills/prompt-injection-risk
Command: npx skills add https://github.com/anotb/second-line-financial-services --skill prompt-injection-risk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps financial institutions conduct a comprehensive review of the prompt-injection threat surface for GenAI systems, ensuring the identification and mitigation of potential risks.

Core Features & Use Cases

Threat Surface Enumeration: Identifies all potential carriers of prompt-injection risks (system prompt, user input, retrieved content, tool output, agent memory, multi-agent message, multimodal input).
Risk Assessment: Evaluates the trust posture and attack classes against each carrier, and the mitigations in place.
Residual Risk Analysis: Determines the likelihood and impact of residual risks, and the recommended owner actions.
Monitoring and Detection: Lists production signals and incident response procedures.
Use Case: A bank is deploying a new GenAI system for customer support. Use this Skill to review the system's prompt-injection posture before deployment, ensuring all potential risks are identified and mitigated.

Quick Start

Use the prompt-injection-risk skill to review the GenAI system for the customer-support assistant, including its architecture, threat surface, and residual risks.

Frequently Asked Questions about prompt-injection-risk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I assess prompt-injection risks for GenAI systems in financial services?▼

A prompt-injection risk review enumerates threat surface carriers including system prompts, user inputs, retrieved content, tool outputs, and agent memory. It evaluates each carrier's trust posture, tests attack classes, and documents mitigations to produce a structured risk analysis report.

What are the common prompt-injection attack vectors in GenAI architectures?▼

Common prompt-injection attack vectors in GenAI architectures include system prompts, user inputs, retrieved content, tool outputs, agent memory, multi-agent messages, and multimodal inputs. Each carrier represents a potential entry point where malicious instructions can be injected into the system.

How do I conduct a prompt-injection risk assessment before deploying a GenAI customer support assistant?▼

Conduct a prompt-injection risk assessment before deploying a GenAI customer support assistant by mapping the system architecture, enumerating all threat surface carriers, evaluating trust postures, and documenting residual risks with recommended owner actions, monitoring signals, and incident response procedures.

Can I use this prompt-injection risk review for multi-agent GenAI systems?▼

Yes, this prompt-injection risk review supports multi-agent GenAI systems by specifically evaluating multi-agent messages as a distinct threat surface carrier. It assesses the trust posture and attack classes relevant to inter-agent communication alongside standard input vectors.

What does a prompt-injection residual risk analysis include for financial GenAI applications?▼

A prompt-injection residual risk analysis for financial GenAI applications includes determining the likelihood and impact of remaining risks after mitigations, listing production monitoring signals, defining incident response procedures, and recommending specific owner actions to address vulnerabilities.