Risk & Assessment
19 resources in this section
AI Alignment — Ensuring AI Behaviour Matches Intended Objectives
Definición técnica What is AI alignment in production AI systems? AI alignment is the discipline of ensuring that an AI system's behaviour matches the…
AI Audit: where AI systems prove what they claim to do
AI audit by accredited body verifies independence and compliance. Zertia is ANAB-accredited. Definición técnica An AI audit is a systematic, independent, d…
AI Impact Assessment — Evaluating Consequences Before Deployment
Definición técnica An AI Impact Assessment (AIA) is a structured evaluation of the actual and potential impacts of an AI system on individuals, groups…
AI Incident Response — Governance When AI Systems Fail
Definición técnica AI incident response is the structured organizational process for detecting, classifying, containing, investigating, remediating, and…
AI Incident: where Article 73 makes incident reporting non-optional
EU AI Act Article 73 mandates serious incident reporting within 15 days. Zertia integrates workflows under ISO 42001.
AI Red Team: where adversarial audit finds what development did not want to see
AI Red Team mandatory under EU AI Act Article 55(b). Zertia audits under ISO 42001 + MITRE ATLAS. Key facts AI Red Team: adversarial evaluation eliciting f…
AI Risk Assessment: where historical data stops being sufficient
AI risk assessment addresses emergent capabilities and distributional shift. Zertia audits under ISO 42001 + ISO 23894.
AI Risk Management: where generic risk practice stops working for AI
AI risk management addresses AI-specific failure modes. Zertia audits under ISO 42001 + ISO 23894. Definición técnica What is AI Risk Management? AI risk m…
Algorithmic Bias: where structural inequality enters the model output
Algorithmic bias creates unfair outcomes for specific groups. Zertia audits bias detection under ISO 42001 + EU AI Act Articles 10 and 14.
Algorithmic Risk — Risk Taxonomy for AI Systems
Definición técnica Algorithmic risk refers to the potential for harm, adverse outcomes, or unintended consequences arising from the design…
Concept Drift: where reality changes while the model stays static
Concept drift requires re-specification, not just retraining. Zertia audits detection under ISO 42001 + EU AI Act Article 72.
Discrimination Risk: where technical bias meets legally protected rights
Discrimination risk converts AI bias into legal liability. Zertia audits under ISO 42001 + EU AI Act.
DPIA — Data Protection Impact Assessment for AI Systems
Definición técnica A Data Protection Impact Assessment (DPIA) is a structured process required by GDPR Article 35 for processing activities that are…
Fundamental Rights Impact Assessment (FRIA) — EU AI Act Deployer Obligation
Definición técnica What is a Fundamental Rights Impact Assessment (FRIA)? A Fundamental Rights Impact Assessment (FRIA) is a structured evaluation…
Hallucination: where the model confuses fluency with truth
Hallucination is structural to generative AI. Zertia audits mitigation under ISO 42001 + EU AI Act. Definición técnica What is hallucination in generative …
NIST AI Risk Management Framework
NIST AI RMF is the US voluntary framework for AI risk management. Zertia integrates NIST AI RMF mapping within ISO 42001 audit.
Risk Register — Living Documentation of AI Risk Management
Definición técnica An AI risk register is a structured, maintained document that captures the identified risks associated with an organization's AI…
Supply Chain Risk (AI) — Third-Party AI Governance and Vendor Risk
Definición técnica AI supply chain risk refers to the governance and security risks that arise from an organization's dependence on external parties — AI…
Systemic Risk: where individual model risk becomes market-wide risk
Systemic AI risk affects multiple deployers. Zertia audits GPAI under ISO 42001 + EU AI Act. Systemic AI risk affects multiple deployers via shared models.…
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