Prompt Tool Permission es una definicion publica de inteligencia artificial para el area Prompt. Explica como la capacidad Tool Permission ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Prompt Tool Permission durante trabajo de inteligencia artificial en Prompt, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "CD Artifact Signature": CD Artifact Signature is a devops supply-chain record that proves that an artifact came from an expected build path for deployment automation and promotion. It uses cryptographic signatures, provenance, and verification so teams can trust deployed packages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used CD Artifact Signature when the release moved toward production, so the team could trust deployed packages before the deployment window opened.”
Borrador de traduccion automatica (Spanish) for "Secrets Phishing Resistance": Secrets Phishing Resistance is a security identity control that reduces success of credential theft attacks for keys, tokens, and credentials. 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 Secrets Phishing Resistance when a secret appeared in logs, so the team could protect sign-in flows before the risk review began.”
La Última Cena es enumerada por Polymaths como un notable trabajo asociado con Leonardo da Vinci, conectando el legado público de esa figura al Arte, la Ciencia, la Ingeniería.
Borrador de traduccion automatica (Spanish) for "Infrastructure Rollback Plan": Infrastructure Rollback Plan is a devops recovery plan that defines how to return to a known good version for cloud resources and platform wiring. It uses version pins, database notes, and operator steps so teams can recover quickly from bad changes while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Infrastructure Rollback Plan when a new region was added, so the team could recover quickly from bad changes before the deployment window opened.”
Una nota práctica del principio de Pensamiento de Sistemas: Ver conexiones y retroalimentación entre elementos.
Borrador de traduccion automatica (Spanish) for "Firewall Path Trace": Firewall Path Trace is a networking diagnostic record that shows where traffic travels and where delay or loss appears for network traffic filtering. It uses hop data, timing, and network metadata so teams can debug connectivity issues while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The network engineering team used Firewall Path Trace when a new rule matched traffic, so the team could debug connectivity issues before traffic crossed a service boundary.”
Borrador de traduccion automatica (Spanish) for "Training Evaluation Harness": Training Evaluation Harness is a ml test system that runs repeatable checks against model behavior for model learning and optimization workflows. It uses fixtures, metrics, thresholds, and regression reports so teams can compare releases with evidence while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Training Evaluation Harness when the training job restarted, so the team could compare releases with evidence before the model moved into evaluation.”
Borrador de traduccion automatica (Spanish) for "Service Mesh Egress Policy": Service Mesh Egress Policy is a networking outbound control that decides where workloads may send traffic for east-west service communication. 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 Service Mesh Egress Policy when a service called another service, so the team could reduce exfiltration and SSRF risk before traffic crossed a service boundary.”
Borrador de traduccion automatica (Spanish) for "GPU Capacity Forecast": GPU Capacity Forecast is a compute planning model that estimates future resource needs for accelerated compute for parallel workloads. It uses traffic history, growth assumptions, and utilization trends so teams can avoid surprise shortages while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used GPU Capacity Forecast when the training job requested more memory, so the team could avoid surprise shortages before the workload scaled up.”
Martian Link Budget es una definicion publica de sistemas espaciales para el area Martian. Explica como la capacidad Link Budget ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Martian Link Budget durante trabajo de sistemas espaciales en Martian, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "Secret Runbook Check": Secret Runbook Check is a devops operational test that confirms that documented procedures still work for credential and sensitive configuration. It uses dry runs, screenshots, and command validation so teams can keep response playbooks current while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Secret Runbook Check when a token rotated, so the team could keep response playbooks current before the deployment window opened.”
Lunar Autonomy Stack es una definicion publica de sistemas espaciales para el area Lunar. Explica como la capacidad Autonomy Stack ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Lunar Autonomy Stack durante trabajo de sistemas espaciales en Lunar, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Propulsion Debris Avoidance es una definicion publica de sistemas espaciales para el area Propulsion. Explica como la capacidad Debris Avoidance ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Propulsion Debris Avoidance durante trabajo de sistemas espaciales en Propulsion, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Launch Attitude Control es una definicion publica de sistemas espaciales para el area Launch. Explica como la capacidad Attitude Control ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Launch Attitude Control durante trabajo de sistemas espaciales en Launch, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "Fine-Tuning Model Card": Fine-Tuning Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for adaptation of a model to a domain. It uses dataset notes, metric tables, and risk statements so teams can publish model behavior honestly while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The machine learning team used Fine-Tuning Model Card when the fine-tuning run used curated examples, so the team could publish model behavior honestly before the model moved into evaluation.”
Satellite Thermal Margin es una definicion publica de sistemas espaciales para el area Satellite. Explica como la capacidad Thermal Margin ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Satellite Thermal Margin durante trabajo de sistemas espaciales en Satellite, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
Borrador de traduccion automatica (Spanish) for "GPU Isolation Boundary": GPU Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for accelerated compute for parallel workloads. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used GPU Isolation Boundary when the training job requested more memory, so the team could reduce cross-workload risk before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "GPU Placement Strategy": GPU Placement Strategy is a compute scheduling rule that chooses where workloads should run for accelerated compute for parallel workloads. It uses affinity, topology, availability, and cost signals so teams can improve reliability and efficiency while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The platform engineering team used GPU Placement Strategy when the training job requested more memory, so the team could improve reliability and efficiency before the workload scaled up.”
Borrador de traduccion automatica (Spanish) for "Environment Secret Rotation": Environment Secret Rotation is a devops credential workflow that replaces sensitive keys without service interruption for configuration for a runtime stage. It uses dual credentials, rollout steps, and revocation so teams can reduce credential exposure while keeping evidence, reliability, and public-safe operational boundaries clear.
“Ejemplo en borrador: The DevOps team used Environment Secret Rotation when staging and production drifted, so the team could reduce credential exposure before the deployment window opened.”