EU AI Act Alignment
The EU AI Act (Regulation 2024/1689) establishes legal requirements for AI systems deployed in the European Union. Here is how SecureSkill helps organizations meet compliance requirements for AI agent skill deployment.
Risk Management
What It Requires
Providers of high-risk AI systems must establish, implement, document, and maintain a risk management system throughout the AI system's lifecycle.
How SecureSkill Helps
SecureSkill's scan reports provide documented risk assessments for every agent skill. The 20+ attack categories, calibrated risk scoring (1-10 with two-axis intent and impact evaluation), and detailed findings constitute a systematic risk identification process. Every finding includes severity, confidence, evidence, and location. Scan history with user identity and timestamps provides lifecycle documentation of risk assessment decisions.
Data and Data Governance
What It Requires
Training, validation, and testing data sets shall be subject to appropriate data governance practices.
How SecureSkill Helps
Memory poisoning detection catches skills that corrupt agent memory and persistent context, which functions as the agent's operational "training data" across sessions. Trust signals and publisher verification help organizations assess data provenance. Supply chain scanning validates dependency integrity and flags compromised packages that could introduce poisoned data.
Article 10 primarily addresses base model training data governance. SecureSkill addresses agent-level context and memory data integrity, not model training pipelines.
Transparency and Information
What It Requires
High-risk AI systems shall be designed and developed to ensure their operation is sufficiently transparent. Users must be able to interpret the system's output and use it appropriately.
How SecureSkill Helps
SecureSkill's strongest EU AI Act alignment. Every scan report includes: the declared purpose (what the skill claims to do), the actual behavior (what it really does), a permission map (exactly what it accesses), a plain-language narrative explaining findings, and reasoning notes providing analytical transparency. The transparency score specifically evaluates whether a skill's operations are transparently documented or hidden in scripts and obfuscated code.
Human Oversight
What It Requires
High-risk AI systems shall be designed to allow effective human oversight during the period they are in use.
How SecureSkill Helps
SecureSkill enables human oversight of agent skill adoption. The pre-installation scan creates a mandatory human review point before a skill gets access to the agent's capabilities. The SAFE/CAUTION/BLOCK verdict system is designed for human decision-making, with each verdict backed by specific findings, evidence, and recommendations. Organizations can establish policies requiring scan review before any skill installation.
Accuracy, Robustness, and Cybersecurity
What It Requires
High-risk AI systems shall be designed to achieve appropriate levels of accuracy, robustness, and cybersecurity throughout their lifecycle.
How SecureSkill Helps
SecureSkill's entire product is the cybersecurity evaluation layer for agent skills. The multi-layer pipeline provides defense in depth: pattern matching, credential detection, threat intelligence, AST analysis, vulnerability scanning, deobfuscation, and AI semantic analysis. Scanner evasion detection specifically tests robustness against adversarial skill content designed to evade security controls.
Disclosure for AI-Powered Systems
What It Requires
Users must be informed when they are interacting with an AI system. AI-generated content and automated decision-making must be disclosed.
How SecureSkill Helps
SecureSkill's scan reports identify when a skill uses AI capabilities, spawns sub-agents, or generates automated content. The code execution output documents exactly what runs, when, and with what triggers. Skill profiling categorizes capabilities and requirements, helping organizations meet transparency disclosure requirements for their AI agent deployments.
SecureSkill identifies AI capabilities within skill packages. Runtime disclosure of AI interaction to end users is an application-level responsibility outside the scope of pre-installation scanning.
SecureSkill supports EU AI Act compliance by providing transparent risk assessments (Article 13), enabling human oversight of agent skill adoption (Article 14), and evaluating cybersecurity posture (Article 15). SecureSkill is not certified under the EU AI Act. The regulation is enforced by national authorities. SecureSkill helps organizations meet specific compliance requirements for AI agent skill deployment.