gensecaihq/Wazuh-MCP-Server is a mcp_server with 126 stars sourced from github, with a Nerq Trust Score of A (81/100) and a compliance score of 59/100 across 52 jurisdictions. It is classified as HIGH risk, with 15 high-risk classifications and 21 minimal-risk classifications. Assessed by Nerq, the world's largest AI agent trust database covering 5M+ AI assets across 52 global jurisdictions.
Last assessed: March 10, 2026 | Data from Nerq's weighted multi-jurisdiction compliance engineAI-powered security operations for Wazuh SIEM—use any MCP-compatible client to ask security questions in plain English. Faster threat detection, incident triage, and compliance checks with real-time monitoring and anomaly spotting. Production-ready MCP server for conversational SOC workflows.
Each jurisdiction has unique AI regulation requirements. This table shows how gensecaihq/Wazuh-MCP-Server is classified under each jurisdiction's specific rules based on its type (mcp_server), domain (legal, security, nlp), and risk indicators.
| Jurisdiction | Risk Level | Compliance Notes | Effective Date | Max Penalty |
|---|---|---|---|---|
| California AI Training Data Transparency Act US |
MINIMAL RISK | Not a public-use generative AI system | 2026-01-01 | $5,000 per violation per day |
| California Companion Chatbot Safety Act US |
MINIMAL RISK | Not a companion chatbot | 2026-01-01 | AG enforcement |
| California Frontier AI Act US |
MINIMAL RISK | Not a covered frontier model under SB 53 | 2026-01-01 | $10M to $50M per violation |
| Chile AI Regulation Bill CL |
MINIMAL RISK | TBD | TBD | |
| Colombia AI Ethics Framework CO |
MINIMAL RISK | 2024-01-01 | N/A (voluntary) | |
| India AI Governance Guidelines IN |
MINIMAL RISK | 2025-12-01 | Voluntary (binding rules expected mid-2026) | |
| ISO/IEC 42001 AI Management System INTL |
MINIMAL RISK | ISO/IEC 42001 certification available for AI management systems | 2023-12-18 | N/A (certification standard) |
| Japan AI Bill JP |
MINIMAL RISK | 2025-05-01 | Administrative guidance | |
| Mexico AI Regulation Initiative MX |
MINIMAL RISK | TBD | TBD | |
| New York RAISE Act US |
MINIMAL RISK | Not a covered frontier model | 2027-01-01 | $25M per violation |
| New Zealand Algorithm Charter NZ |
MINIMAL RISK | 2020-07-01 | N/A (voluntary charter) | |
| OECD AI Principles INTL |
MINIMAL RISK | 2024-05-02 | N/A (voluntary principles) | |
| Peru AI Promotion Law PE |
MINIMAL RISK | 2023-07-01 | Administrative guidance | |
| Philippines AI Development Act PH |
MINIMAL RISK | TBD | TBD | |
| Saudi Arabia AI Ethics Principles SA |
MINIMAL RISK | 2023-09-01 | SDAIA enforcement | |
| Singapore AI Framework SG |
MINIMAL RISK | TBD | N/A (voluntary) | |
| Taiwan AI Basic Act TW |
MINIMAL RISK | 2025-07-23 | Administrative guidance | |
| TAKE IT DOWN Act (Federal) US |
MINIMAL RISK | 2026-05-19 | 3 years imprisonment | |
| Texas RAIGA US |
MINIMAL RISK | Not a restricted-purpose AI system under TRAIGA | 2026-01-01 | Administrative remedies |
| Thailand AI Governance Guidelines TH |
MINIMAL RISK | 2024-01-01 | N/A (voluntary) | |
| UAE AI Strategy 2031 AE |
MINIMAL RISK | 2024-01-01 | Licensing revocation + fines | |
| Brazil AI Bill BR |
LIMITED RISK | TBD | R$ 50M or 2% revenue | |
| California AI Transparency Act US |
LIMITED RISK | Requires watermarking of AI-generated content and AI detection tools | 2026-08-02 | $5,000 per violation |
| China AI Content Labeling Rules CN |
LIMITED RISK | Must add explicit + implicit labels to AI-generated content (text, image, audio, video) | 2025-09-01 | CAC enforcement measures |
| EU AI Act EU |
LIMITED RISK | Transparency obligations: must disclose AI-generated content (Art. 50) | 2026-08-02 | €35M or 7% global turnover |
| France AI Act Implementation FR |
LIMITED RISK | Transparency obligations: must disclose AI-generated content (Art. 50) | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Germany AI Act Implementation DE |
LIMITED RISK | Transparency obligations: must disclose AI-generated content (Art. 50) | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| India IT Rules (AI Amendments 2026) IN |
LIMITED RISK | Must label AI-generated content (explicit + implicit). Expedited removal of unlawful content. | 2026-02-20 | Loss of safe harbor protection |
| Ireland AI Act Implementation IE |
LIMITED RISK | Transparency obligations: must disclose AI-generated content (Art. 50) | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Italy AI Act Implementation IT |
LIMITED RISK | Transparency obligations: must disclose AI-generated content (Art. 50) | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Netherlands AI Act Implementation NL |
LIMITED RISK | Transparency obligations: must disclose AI-generated content (Art. 50) | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Poland AI Act Implementation PL |
LIMITED RISK | Transparency obligations: must disclose AI-generated content (Art. 50) | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| South Korea AI Basic Act KR |
LIMITED RISK | Moderate-impact: transparency and data quality requirements | 2026-01-22 | ₩300M or 3% revenue |
| Spain AI Act Implementation ES |
LIMITED RISK | Transparency obligations: must disclose AI-generated content (Art. 50) | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Sweden AI Act Implementation SE |
LIMITED RISK | Transparency obligations: must disclose AI-generated content (Art. 50) | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Utah AI Amendments US |
LIMITED RISK | Must clearly disclose generative AI interactions to consumers | 2025-05-07 | Professional licensing penalties |
| Utah AI Policy Act US |
LIMITED RISK | Must clearly disclose generative AI interactions to consumers | 2024-05-01 | UDCP enforcement |
| Australia Mandatory AI Guardrails AU |
HIGH RISK | Mandatory guardrails: transparency, testing, human oversight required (proposed) | 2026-TBD | TBD (legislation pending) |
| Canada AIDA CA |
HIGH RISK | High-impact system: risk assessment, mitigation, monitoring required (proposed) | TBD | CAD $25M or 5% revenue |
| China Cybersecurity Amendment CN |
HIGH RISK | Critical sector: data localization, security assessments, government approval required | 2026-01-01 | ¥1M to ¥10M |
| Colorado AI Act US |
HIGH RISK | High-risk: consequential decision tool. Requires impact assessment, consumer notification, annual bias audit. | 2026-06-30 | $500,000 per violation |
| Connecticut AI / Automated Decision Act US |
HIGH RISK | Automated decision system: impact assessment, opt-out rights, human review required | 2026-07-01 | AG enforcement under CTDPA |
| Council of Europe AI Convention INTL |
HIGH RISK | Rights-impacting AI: transparency, accountability, remedies required | 2025-09-01 | Treaty obligations (national enforcement) |
| Illinois AI in Employment Act US |
HIGH RISK | Employment AI: requires notice, explanation, right to human review | 2026-01-01 | Human Rights Act penalties |
| Illinois AI Video Interview Act US |
HIGH RISK | Employment AI: requires notice, explanation, right to human review | 2020-01-01 | $5,000 per violation |
| Kenya Data Protection (AI Provisions) KE |
HIGH RISK | Automated decision-making: data protection impact assessment required, right to object | 2021-11-25 | KES 5M or 1% annual turnover |
| Maryland AI in Employment & Housing Act US |
HIGH RISK | Must comply with anti-discrimination requirements for AI in employment | 2025-10-01 | Civil rights enforcement |
| Nigeria Data Protection (AI Provisions) NG |
HIGH RISK | Automated decision-making: data protection impact assessment required, right to object | 2023-06-14 | NGN 10M or 2% annual turnover |
| NYC Local Law 144 (AEDT) US |
HIGH RISK | AEDT: requires annual independent bias audit, public results, 10-day candidate notice | 2023-07-05 | $1,500 per violation |
| South Africa POPIA (AI Provisions) ZA |
HIGH RISK | Automated decision-making: data protection impact assessment required, right to object | 2021-07-01 | ZAR 10M or imprisonment |
| UK AI Regulation Bill UK |
HIGH RISK | Sector-specific regulation: oversight by relevant sector regulator | TBD | TBD by sector regulators |
| Vietnam AI Law VN |
HIGH RISK | Sensitive sector: risk assessment, human oversight, data protection required | 2026-TBD | VND 2B |
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gensecaihq/Wazuh-MCP-Server is a mcp_server sourced from github, authored by gensecaihq. It operates in the legal, security, nlp domains. Across global AI regulations, it is classified as high risk. Nerq has assessed this agent against 52 global AI regulations, finding it to be high risk or restricted in 15 jurisdictions, subject to transparency or limited requirements in 16 jurisdictions, and minimal risk or compliant in 21 jurisdictions.
This assessment was generated using Nerq's rule-based multi-jurisdiction compliance engine, which maps AI system characteristics against the specific criteria defined in each jurisdiction's AI regulation framework. The assessment covers enacted laws, proposed legislation, and voluntary frameworks across the EU, United States, United Kingdom, Asia-Pacific, Middle East, Africa, and Latin America. First indexed on Nerq: February 12, 2026.