1What is the EU AI Act?
The EU AI Act (Regulation EU 2024/1689) places specific obligations on deployers (Art. 26) — any organization putting an AI system into use under its own authority, including by integrating a third-party AI agent into internal processes or products. As of 14 May 2026, the Digital Omnibus provisional political agreement of 7 May 2026 pushes Article 26 + Annex III to 02/12/2027 while keeping Article 50(2) synthetic-output watermarking at 02/12/2026 (with a reduced grace period). Formal Council + Parliament endorsement pending before final adoption. AgentLayers explicitly targets two audiences: deployers who must document vendor due diligence and oversight, and agent providers who must supply usable evidence to their deployer customers.
2Risk Classification System
The EU AI Act establishes a four-tier risk classification system that determines the level of regulatory obligations applicable to each AI system. Understanding where your AI agent falls in this classification is the first step toward compliance.
Unacceptable Risk
AI practices that are outright banned: social scoring by governments, real-time biometric identification in public spaces (with limited exceptions), manipulation of vulnerable groups, and untargeted scraping of facial images. These systems cannot be deployed in the EU under any circumstances.
High Risk
AI systems subject to strict obligations before market placement: mandatory conformity assessments, comprehensive technical documentation, human oversight mechanisms, robust data governance, and registration in the EU database. Examples include AI in recruitment, credit scoring, law enforcement, and critical infrastructure.
Limited Risk
AI systems with specific transparency obligations: users must be informed they are interacting with AI, AI-generated content must be labeled, and deepfakes must be disclosed. Chatbots, emotion recognition systems, and generative AI fall into this category.
Minimal Risk
The vast majority of AI systems, freely usable without specific regulatory requirements. Voluntary codes of conduct are encouraged. Examples include spam filters, AI-enhanced video games, and inventory management systems.
2.1Unacceptable Risk
AI practices that are outright banned: social scoring by governments, real-time biometric identification in public spaces (with limited exceptions), manipulation of vulnerable groups, and untargeted scraping of facial images. These systems cannot be deployed in the EU under any circumstances.
2.2High Risk
AI systems subject to strict obligations before market placement: mandatory conformity assessments, comprehensive technical documentation, human oversight mechanisms, robust data governance, and registration in the EU database. Examples include AI in recruitment, credit scoring, law enforcement, and critical infrastructure.
2.3Limited Risk
AI systems with specific transparency obligations: users must be informed they are interacting with AI, AI-generated content must be labeled, and deepfakes must be disclosed. Chatbots, emotion recognition systems, and generative AI fall into this category.
2.4Minimal Risk
The vast majority of AI systems, freely usable without specific regulatory requirements. Voluntary codes of conduct are encouraged. Examples include spam filters, AI-enhanced video games, and inventory management systems.
3AI Act articles → AgentLayers features
This table maps the main EU AI Act articles applicable to AI agents (high-risk system or GPAI) to the concrete AgentLayers features that help you produce operational compliance evidence.
| Article | Topic | AgentLayers feature |
|---|---|---|
| Art. 9 | Risk management system | Multi-dimensional Trust Score evaluation (security, reliability, governance) with temporal history to demonstrate continuous risk management. |
| Art. 10 | Data governance | Audit of declared data sources and verification of training, validation and test set documentation for evaluated agents. |
| Art. 12 | Record keeping / logging | Retention of evaluations and scans with immutable timestamps — auditor-grade evidence of an agent's posture at a given point in time. |
| Art. 13 | Transparency to deployers | Trust Score transparency dimension: documentation quality, intended purpose, limitations, performance metrics surfaced publicly. |
| Art. 14 | Human oversight | Verification of human-in-the-loop mechanisms, kill switches and documented intervention points in the agent repo / skill. |
| Art. 15 | Accuracy, robustness, cybersecurity | Skill / MCP / A2A scanners: vulnerability detection, prompt injection, exposed secrets, RFC validation of agentic protocols. |
| Art. 26 | Deployer obligations | Core focus: step-by-step Art. 26 checklist, vendor evidence (provider Trust Score), deployment decision log and human review. |
| Art. 50 | Transparency obligations (chatbots, deepfakes) | Verification of "you are talking to an AI" disclosures and AI-generated content marking in scanned user-facing agents. |
This mapping reflects AgentLayers's interpretation of Regulation (EU) 2024/1689 and the internal AgentLayers AI Act Mapping (v. 14/05/2026, after the Digital Omnibus agreement of 7 May 2026). It does not replace your own legal analysis.
4How AgentLayers Helps
AgentLayers provides automated tools to help AI agent providers and deployers understand and prepare for EU AI Act compliance. Our platform evaluates agents across multiple compliance dimensions.
Automated Compliance Checks
Every AI agent scanned through AgentLayers is automatically evaluated against a comprehensive EU AI Act checklist covering risk classification, transparency requirements, documentation standards, and data governance obligations.
Transparency Scoring
Our Trust Score's transparency dimension directly maps to EU AI Act disclosure requirements — evaluating documentation quality, explainability, open-source availability, and logging practices.
Documentation Audit
AgentLayers checks whether AI agents provide the technical documentation required by the EU AI Act: system descriptions, intended purpose, limitations, risk mitigation measures, and performance metrics.
Continuous Monitoring
Track your compliance posture over time with temporal scoring. AgentLayers maintains a history of evaluations so you can demonstrate ongoing compliance and improvement — a key requirement under the EU AI Act's post-market monitoring obligations.
3.1Automated Compliance Checks
Every AI agent scanned through AgentLayers is automatically evaluated against a comprehensive EU AI Act checklist covering risk classification, transparency requirements, documentation standards, and data governance obligations.
3.2Transparency Scoring
Our Trust Score's transparency dimension directly maps to EU AI Act disclosure requirements — evaluating documentation quality, explainability, open-source availability, and logging practices.
3.3Documentation Audit
AgentLayers checks whether AI agents provide the technical documentation required by the EU AI Act: system descriptions, intended purpose, limitations, risk mitigation measures, and performance metrics.
3.4Continuous Monitoring
Track your compliance posture over time with temporal scoring. AgentLayers maintains a history of evaluations so you can demonstrate ongoing compliance and improvement — a key requirement under the EU AI Act's post-market monitoring obligations.
5Key Obligations for AI Agent Providers
The EU AI Act places specific obligations on providers (developers) and deployers (users) of AI systems, particularly those classified as high-risk. Here are the key obligations relevant to AI agent providers.
Risk Assessment
Providers must conduct and document a thorough risk assessment identifying potential harms, their likelihood, and mitigation measures. This assessment must be updated throughout the AI system's lifecycle.
Transparency & Disclosure
AI systems must be transparent about their nature and capabilities. Users must be informed when they interact with AI, and providers must disclose the system's intended purpose, limitations, and level of accuracy.
Human Oversight
High-risk AI systems must be designed to allow effective human oversight. This includes the ability to understand the system's capabilities, monitor its operation, and intervene or halt the system when necessary.
Data Governance
Training, validation, and testing datasets must meet quality criteria. Providers must implement data governance practices covering data collection, preparation, relevance, representativeness, and bias examination.
Technical Documentation
Comprehensive technical documentation must be maintained and kept up to date. This includes system architecture, design specifications, development methodology, validation and testing procedures, and performance benchmarks.
Record Keeping
AI systems must have automatic logging capabilities to ensure traceability. Logs must be retained for an appropriate period and must be sufficient to allow post-incident analysis and regulatory auditing.
6Trust Score & EU AI Act Mapping
AgentLayers's Trust Score compliance dimension (Section 3.4, weighted at 15%) directly maps to EU AI Act requirements. The compliance score evaluates automated adherence to EU AI Act articles on risk classification, GDPR alignment, transparency obligations, and documentation standards. Combined with the Transparency (20%) and Security & Privacy (20%) dimensions, over half of the Trust Score reflects regulatory readiness.
See full scoring methodology7Out of scope — what AgentLayers is not
To avoid any confusion about what the platform delivers (and does not), here is what is explicitly outside its remit:
- AgentLayers is not a law firm. Nothing on this site constitutes legal advice.
- AgentLayers is not a notified body under the AI Act. We do not deliver CE marking and do not perform regulatory conformity assessments.
- An AgentLayers score (Trust Score, Agent-Readiness Score, etc.) is not legal proof of compliance: it is an operational signal meant to inform your compliance work and document your vendor due diligence.
- AgentLayers does not operate your agents in production: we evaluate artifacts (repo, skill, MCP server, A2A endpoint, site) — deployment and ongoing monitoring remain the deployer's responsibility.
Regulatory References
- European Commission — EU Artificial Intelligence Act, Regulation (EU) 2024/1689 (2024)
- GDPR — General Data Protection Regulation, Regulation (EU) 2016/679 (2016)
- European Commission — Guidelines on High-Risk AI Systems (2025)
Evaluate Your Compliance
Use our interactive checklist to assess your AI system's compliance with the EU AI Act. Track your progress and get actionable recommendations.
Start Compliance ChecklistThis page provides general information about the EU AI Act and how AgentLayers's scoring methodology relates to it. It does not constitute legal advice. Organizations should consult qualified legal counsel for compliance guidance specific to their use cases.
© 2026 AgentLayers Research — Compliance guide, v1.0 — March 2026