AI Cyber Risk Assessment Engine

AI Cyber Risk Assessment Engine MCP Connector for Claude

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Quantify AI-specific cyber risk, loss exposure, and security investment needs.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a specialized risk engine to quantify the cybersecurity exposure of Artificial Intelligence systems. It evaluates model-specific vulnerabilities, data privacy risks, and the effectiveness of security controls to provide actionable insights. Use calculate_risk_score to determine the overall threat level, estimate_loss_exposure to translate technical risk into potential financial impact in Euros, and recommend_security_investment to plan mitigation budgets. For deep dives into specific threats, analyze_attack_vectors identifies critical paths like prompt injection or model inversion based on the model type.

ai-securitycyber-riskrisk-quantificationmodel-vulnerabilitysecurity-investment

4 tools expose this connector's capabilities to your AI agent.

analyze_attack_vectors

Identifies which specific AI-specific vulnerabilities are contributing most to the risk

calculate_risk_score

Provides a high-level assessment of the current cyber risk level

recommend_security_investment

Determines the necessary funding to mitigate identified risks

estimate_loss_exposure

Translates technical risk into potential financial impact

See how to talk to your AI agent using AI Cyber Risk Assessment Engine.

What is the current cyber risk score for an LLM with a high attack surface and low control effectiveness?

The calculated risk score is 8.5, which is classified as Critical, primarily driven by the high attack surface and insufficient security controls.

Estimate the potential loss for an AI system worth €500,000 with a risk score of 7.

The estimated potential loss is €350,000, with a loss range of €250,000 - €450,000 and High confidence.

How much should I invest to reduce my risk score from 8 to 3 for a system valued at €1,000,000?

The recommended budget is €120,000, with an Immediate priority level, focusing on Data Privacy Enhancement and Input Filtering.

The `calculate_risk_score` tool determines the score by analyzing the intersection of the attack surface, model vulnerabilities, and data sensitivity, then adjusting for the effectiveness of existing security controls.

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