ETSI EN 304 223 Securing AI 5.1.2-5: Match intended use to data sensitivity, and encourage staff to report AI security risks

What does 5.1.2-5 require?

Data custodians confirm that the planned use of the system fits how sensitive the training data is and the controls meant to keep that data secure. The organisation also encourages employees to spot and report possible security risks in AI systems, and keeps suitable safeguards in place for them to do so.

Maintained by Gerard Blokdyk

Other controls in Clause 5.1: Secure design (Principles 1 to 4) – ETSI EN 304 223 Securing AI

5.1.1-1 AI security content in the cyber security training programme
5.1.1-2 Ongoing staff awareness of AI threats, with secure AI coding training for developers
5.1.2-1 Assess the need, the risks and the mitigations before building an AI system
5.1.2-2 Design for resilience against adversarial attack, unexpected input and failure
5.1.2-3 Create an audit trail for the AI system
5.1.2-4 AI-specific risk assessment and due diligence for external components
5.1.2-6 Least-privilege, risk-assessed permissions for the AI system on other systems
5.1.2-7 Due diligence on external providers

Query this from an agent

The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.

MCP endpoint All ETSI EN 304 223 Securing AI controls