# AI Cyber Risk Assessment Engine. AI Agent Connect > AI Cyber Risk Assessment Engine gives your AI client the ability to measure the security posture of your machine learning models. It calculates risk scores, estimates potential financial losses in Euros, and identifies specific attack vectors like prompt injection. You can use it to plan security budgets by getting direct recommendations on where to invest your mitigation funds. ## Overview - **Category:** artificial-intelligence - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_Y6JmtaeEehxIAjCLjafu7hlOBUeZ2qAp6M4c5nzk/ai-agent-connect - **Tags:** ai-security, cyber-risk, risk-quantification, model-vulnerability, security-investment ## Description You can now give your AI agent the ability to audit the security of your AI systems. This MCP acts as a specialized risk engine that translates technical vulnerabilities into numbers you can actually use for business decisions. Instead of guessing how vulnerable a model is to prompt injection or model inversion, you get a quantified risk score. If you are managing a deployment, you can use this to see how much a specific vulnerability might cost the company in Euros. It moves beyond vague security warnings by providing a concrete estimate of loss exposure. When it comes to budgeting, the MCP helps you decide where to put your money by recommending specific security investments based on the identified threats. It's a direct way to bridge the gap between technical model flaws and the financial reality of running AI in production. ## Tools ### analyze_attack_vectors This tool identifies which specific AI vulnerabilities are driving your current risk levels. It pinpoints critical paths like prompt injection or model inversion based on your model type. ### calculate_risk_score This tool provides a high level assessment of your current cyber risk. It gives your agent a single number to represent the overall threat level. ### estimate_loss_exposure This tool translates technical security risks into potential financial impact. It calculates expected losses in Euros to help you understand the stakes. ### recommend_security_investment This tool determines the specific funding needed to mitigate your identified risks. It helps you plan your security budget around actual needs. ## Prompt Examples **Prompt:** ``` What is the current cyber risk score for an LLM with a high attack surface and low control effectiveness? ``` **Response:** ``` The calculated risk score is 8.5, which is classified as Critical, primarily driven by the high attack surface and insufficient security controls. ``` **Prompt:** ``` Estimate the potential loss for an AI system worth €500,000 with a risk score of 7. ``` **Response:** ``` The estimated potential loss is €350,000, with a loss range of €250,000 to €450,000 and High confidence. ``` **Prompt:** ``` How much should I invest to reduce my risk score from 8 to 3 for a system valued at €1,000,000? ``` **Response:** ``` The recommended budget is €120,000, with an Immediate priority level, focusing on Data Privacy Enhancement and Input Filtering. ``` ## Capabilities ### Risk Quantification Your agent uses this to turn model vulnerabilities into a standardized risk score. ### Financial Impact Modeling Your agent calculates the potential Euro-based loss exposure for a given risk level. ### Vulnerability Mapping Your agent identifies specific attack paths like model inversion or prompt injection. ### Budget Planning Your agent suggests specific investment amounts to lower your risk score. ### Security Control Evaluation Your agent assesses how effective current controls are against specific AI threats. ## Use Cases ### Pre-deployment Audits Run a risk assessment on a new model before it goes live to find critical vulnerabilities. ### Security Budgeting Calculate exactly how much money is needed to move a risk score from a critical level to a manageable one. ### Financial Risk Reporting Translate a high risk score into a potential loss amount for executive reporting. ### Vulnerability Deep Dives Use attack vector analysis to understand if your model is specifically prone to inversion or injection. ## Benefits - Converts technical AI flaws into Euro-based financial estimates. - Identifies specific attack paths like prompt injection. - Provides data-driven budget recommendations for security mitigation. - Generates a single risk score for quick high-level assessments. ## How It Works Connecting this MCP to your AI client gives your agent immediate access to specialized security math. 1. Connect the MCP to your client like Claude or Cursor via Vinkius. 2. Provide your agent with details about your AI system and its current controls. 3. The agent calls the risk engine to calculate scores and exposure. 4. Review the financial impact and investment recommendations generated by the agent. ## Frequently Asked Questions **What kind of AI risks does this MCP cover?** It focuses on AI-specific threats, including prompt injection, model inversion, and data privacy risks. **How does it calculate financial loss?** The tool translates technical risk scores and system value into a potential loss exposure expressed in Euros. **Can I use this with Claude or Cursor?** Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf. **Does this MCP provide specific budget numbers?** Yes, the recommend_security_investment tool provides specific funding amounts needed to mitigate identified risks. **How is the risk score determined?** The score is a high level assessment based on the model's attack surface and the effectiveness of your security controls. **How is the cyber risk score calculated?** 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. **Can I estimate the financial impact of an AI breach?** Yes, you can use `estimate_loss_exposure` to calculate the potential financial loss in Euros by providing the current risk score, the asset value, and the predicted incident frequency. **What kind of AI vulnerabilities can be analyzed?** By using `analyze_attack_vectors`, you can identify critical paths such as prompt injection, adversarial evasion, or model inversion for various model types like LLMs or Diffusion models.