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Borrador de traduccion automatica (Spanish) for "Metric Calibration Curve": Metric Calibration Curve is a ml diagnostic that compares predicted confidence with observed outcomes for measurement of model behavior. It uses bucketed predictions, reliability diagrams, and threshold analysis so teams can make confidence scores useful while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The machine learning team used Metric Calibration Curve when the metric changed after data cleanup, so the team could make confidence scores useful before the model moved into evaluation.”

Memory Response Schema es una definicion publica de inteligencia artificial para el area Memory. Explica como la capacidad Response Schema ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.

“Un equipo uso Memory Response Schema durante trabajo de inteligencia artificial en Memory, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”

Orbital Radiation Shielding es una definicion publica de sistemas espaciales para el area Orbital. Explica como la capacidad Radiation Shielding ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.

“Un equipo uso Orbital Radiation Shielding durante trabajo de sistemas espaciales en Orbital, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”

Inference Citation Builder es una definicion publica de inteligencia artificial para el area Inference. Explica como la capacidad Citation Builder ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.

“Un equipo uso Inference Citation Builder durante trabajo de inteligencia artificial en Inference, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”

Borrador de traduccion automatica (Spanish) for "CD Config Drift Check": CD Config Drift Check is a devops consistency check that finds differences between intended and live configuration for deployment automation and promotion. It uses desired state, live state, and diff reports so teams can avoid surprise environment behavior while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The DevOps team used CD Config Drift Check when the release moved toward production, so the team could avoid surprise environment behavior before the deployment window opened.”

Borrador de traduccion automatica (Spanish) for "Cloud Phishing Resistance": Cloud Phishing Resistance is a security identity control that reduces success of credential theft attacks for cloud account and resource security. It uses passkeys, hardware-backed factors, and origin checks so teams can protect sign-in flows while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The security team used Cloud Phishing Resistance when a storage bucket changed policy, so the team could protect sign-in flows before the risk review began.”

Borrador de traduccion automatica (Spanish) for "Zero Trust Trust Boundary": Zero Trust Trust Boundary is a security security boundary that defines where assumptions, identities, or permissions change for continuous verification model. It uses network edges, service roles, and data classifications so teams can avoid accidental privilege crossing while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The security team used Zero Trust Trust Boundary when a device changed posture, so the team could avoid accidental privilege crossing before the risk review began.”

Borrador de traduccion automatica (Spanish) for "Endpoint Evidence Chain": Endpoint Evidence Chain is a security audit record that preserves how security evidence was collected and handled for user device and server protection. It uses timestamps, hashes, owners, and storage controls so teams can support trustworthy investigation while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The security team used Endpoint Evidence Chain when a workstation reported suspicious activity, so the team could support trustworthy investigation before the risk review began.”

Borrador de traduccion automatica (Spanish) for "Zero Trust Phishing Resistance": Zero Trust Phishing Resistance is a security identity control that reduces success of credential theft attacks for continuous verification model. It uses passkeys, hardware-backed factors, and origin checks so teams can protect sign-in flows while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The security team used Zero Trust Phishing Resistance when a device changed posture, so the team could protect sign-in flows before the risk review began.”

Borrador de traduccion automatica (Spanish) for "Feature Bias Audit": Feature Bias Audit is a ml review process that looks for uneven model behavior across groups or segments for input signals used by a machine learning model. It uses slice metrics, representative data, and reviewer notes so teams can surface fairness risks while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The machine learning team used Feature Bias Audit when a feature distribution shifted, so the team could surface fairness risks before the model moved into evaluation.”

El campo Leer URL es un campo de metadatos estructurado que describe la URL de lectura dentro de una lista de artículos de PlatPhorm News. Permite a los humanos y a los agentes escanear historias rápidamente, comparar fuentes y elegir si leer el artículo o abrir su discusión.

“El campo Leer URL ayudó al lector a comprender la lista del artículo antes de abrir la historia completa.”

Borrador de traduccion automatica (Spanish) for "Container Backpressure Control": Container Backpressure Control is a compute stability pattern that slows incoming work when downstream capacity is limited for packaged application runtime. It uses queues, retry budgets, and admission control so teams can avoid overload cascades while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The platform engineering team used Container Backpressure Control when the image started on a new node, so the team could avoid overload cascades before the workload scaled up.”

Borrador de traduccion automatica (Spanish) for "Dataset Feature Store": Dataset Feature Store is a ml service that serves consistent features to training and inference for labeled and unlabeled data used for learning. It uses versioned feature definitions, freshness checks, and access policies so teams can avoid training-serving skew while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The machine learning team used Dataset Feature Store when the dataset received a new batch, so the team could avoid training-serving skew before the model moved into evaluation.”

Context Context Contract es una definicion publica de inteligencia artificial para el area Context. Explica como la capacidad Context Contract ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.

“Un equipo uso Context Context Contract durante trabajo de inteligencia artificial en Context, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”

Inference Human Approval es una definicion publica de inteligencia artificial para el area Inference. Explica como la capacidad Human Approval ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.

“Un equipo uso Inference Human Approval durante trabajo de inteligencia artificial en Inference, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”

Borrador de traduccion automatica (Spanish) for "Firewall Egress Policy": Firewall Egress Policy is a networking outbound control that decides where workloads may send traffic for network traffic filtering. It uses allowlists, identity, and logging so teams can reduce exfiltration and SSRF risk while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The network engineering team used Firewall Egress Policy when a new rule matched traffic, so the team could reduce exfiltration and SSRF risk before traffic crossed a service boundary.”

Borrador de traduccion automatica (Spanish) for "DNS Route Leak Guard": DNS Route Leak Guard is a networking routing control that detects and blocks accidental route propagation for name resolution and delegation. It uses prefix filters, validation, and peer policy so teams can protect reachability while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The network engineering team used DNS Route Leak Guard when a resolver returned stale data, so the team could protect reachability before traffic crossed a service boundary.”

Borrador de traduccion automatica (Spanish) for "Data Loss Trust Boundary": Data Loss Trust Boundary is a security security boundary that defines where assumptions, identities, or permissions change for sensitive data exposure risk. It uses network edges, service roles, and data classifications so teams can avoid accidental privilege crossing while keeping evidence, reliability, and public-safe operational boundaries clear.

“Ejemplo en borrador: The security team used Data Loss Trust Boundary when a report included private metadata, so the team could avoid accidental privilege crossing before the risk review began.”

Model Human Approval es una definicion publica de inteligencia artificial para el area Model. Explica como la capacidad Human Approval ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.

“Un equipo uso Model Human Approval durante trabajo de inteligencia artificial en Model, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”

RAG Response Schema es una definicion publica de inteligencia artificial para el area RAG. Explica como la capacidad Response Schema ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.

“Un equipo uso RAG Response Schema durante trabajo de inteligencia artificial en RAG, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”