Explore our latest resources and practical guides to navigate the evolving landscape of AI compliance and regulation.
Definición técnica Privacy by Design (PbD) is the principle and practice of integrating data protection and privacy considerations into the design of systems, processes, and products from the…
Definición técnica Pseudonymization is a data processing technique defined in GDPR Article 4(5) as the processing of personal data in such a way that it can no longer…
Definición técnica An adversarial attack is a deliberate attempt to manipulate an AI system's behavior by crafting inputs that cause the model to produce incorrect or attacker-desired outputs,…
Definición técnica An Agentic AI Governance Framework is a structured set of principles, requirements, and controls specifically designed for the governance of autonomous and multi-agent AI systems —…
Definición técnica AI monitoring challenges refers to the structured set of difficulties that organizations encounter when attempting to maintain effective oversight of AI systems after deployment in production…
Definición técnica What is jailbreaking in AI systems? Jailbreaking is the practice of crafting inputs that bypass an AI system's safety controls, causing the model to produce content…
Definición técnica Data lineage in AI systems refers to the documented record of where data originates, how it has been transformed, what processes have been applied to it,…
Definición técnica Technical documentation, in the context of the EU AI Act, refers to the comprehensive set of documents that providers of high-risk AI systems must prepare and…
Definición técnica What is Agentic AI? Agentic AI refers to AI systems that can plan, make decisions, and execute sequences of actions autonomously to achieve specified goals, without…
Definición técnica Data governance is the organizational framework of policies, processes, standards, roles, and controls that determines how data is collected, stored, managed, used, shared, and retired across…
Definición técnica What is grounding in generative AI systems? Grounding is the engineering practice of constraining a generative model's output to verifiable sources. Instead of relying on the…
Definición técnica MLOps (Machine Learning Operations) is the set of practices, tools, and cultural principles that streamline and automate the processes of deploying, monitoring, managing, and continuously improving…
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