# red-team
45 artikelengetagd met “red-team”
Bewijsverzameling voor AI Red Teams
Systematische methodologieën voor bewijsverzameling bij AI red team-engagements, waaronder artefactbehoud, documentatie van bevindingen en chain-of-custody-procedures.
Beoordeling van red team-methodologie (beoordeling - W2)
Assessment covering scoping, attack trees, evidence collection, and professional reporting.
Volledige red team-opdracht: end-to-end
Complete guide to AI red team engagements from scoping through attack execution, evidence collection, impact assessment, report delivery, and remediation validation.
Rapportage schrijven voor het AI red team
Writing AI red team reports: executive summaries, finding templates, AI-adapted risk ratings, remediation recommendations, and common mistakes to avoid.
Capstone: volledige red team-engagement
Scope, plan, execute, and report a complete AI red team engagement against a multi-component AI application including chatbot, RAG, agent, and API layers.
Aanvalsoppervlak van Bedrock
Comprehensive red team methodology for Amazon Bedrock: model invocation API abuse, guardrails bypass techniques, custom model endpoint exploitation, IAM misconfigurations, knowledge base poisoning, and Bedrock Agents exploitation.
Overzicht van AWS AI Services-beveiliging
Red team methodology for AWS AI services including Bedrock, SageMaker, Comprehend, and Rekognition: service enumeration, attack surface mapping, and exploitation techniques.
Misbruik van SageMaker
Red team attack methodology for Amazon SageMaker: endpoint exploitation, notebook instance attacks, training job manipulation, model artifact tampering, and VPC misconfigurations in ML workloads.
AWS Bedrock Security Deep Dive
Geavanceerde beveiligingsbeoordeling van AWS Bedrock met aandacht voor controles op modelaanroepen, het testen van guardrails-bypasses, VPC-configuraties en red team-methodologieën voor foundation-model-API's.
Misbruik van Azure ML
Red team attack methodology for Azure Machine Learning: workspace security, compute instance attacks, pipeline poisoning, model registry tampering, and data store exploitation.
Aanvalsoppervlak van Azure OpenAI
Red team methodology for Azure OpenAI Service: content filtering bypass, PTU security, deployment misconfiguration, managed identity abuse, and prompt flow exploitation.
Defender for AI omzeilen
Red team techniques for understanding and bypassing Microsoft Defender for AI: detection capabilities, alert analysis, bypass strategies, coverage gaps, and alert fatigue exploitation.
Overzicht van Azure AI Services-beveiliging
Red team methodology for Azure AI services including Azure OpenAI, Azure ML, AI Studio, and Cognitive Services: service enumeration, managed identity abuse, and attack surface mapping.
Aanvallen op AI-kosten en facturering
Red team techniques for AI cost exploitation: model invocation abuse for billing inflation, token exhaustion attacks, GPU compute abuse, auto-scaling exploitation, and denial-of-wallet attacks across cloud providers.
Beveiligingsoverzicht van GCP AI-services
Red team methodology for GCP AI services including Vertex AI, Model Garden, and AI Platform: service enumeration, service account exploitation, and attack surface mapping.
Risico's van Model Garden
Security risks of deploying models from GCP Model Garden: third-party model trust, model provenance verification, deployment from untrusted sources, and supply chain attack vectors.
Aanvalsoppervlak van Vertex AI
Red team methodology for Vertex AI: prediction endpoint abuse, custom training security gaps, feature store poisoning, model monitoring evasion, and pipeline exploitation.
Cross-cloud aanvalsscenario's
Red team attack scenarios spanning multiple cloud providers: credential pivoting between AWS, Azure, and GCP, data exfiltration across cloud boundaries, and model portability risks.
Overzicht van multi-cloud AI-beveiliging
Security risks of multi-cloud AI deployments: cross-cloud attack surfaces, credential management challenges, inconsistent security controls, and governance gaps across AWS, Azure, and GCP AI services.
November 2026: Full Engagement-uitdaging
Complete a realistic red team engagement simulation from scoping through final report delivery, producing professional-grade deliverables.
Maandelijkse competitie: Red vs Blue
Monthly head-to-head competitions where red teams attempt to break defenses built by blue teams, with scoring based on attack sophistication and defense robustness.
Red team-gedreven verbetering van verdediging
Red team-bevindingen gebruiken om de verdedigingen van LLM-applicaties systematisch te verbeteren.
Asymmetrie tussen red team en blue team
Waarom het aanvallen van AI-systemen fundamenteel makkelijker is dan ze verdedigen: asymmetrische voordelen, het dilemma van de verdediger en strategieën om de kloof te dichten.
Red team-activiteiten koppelen aan regelgeving
Mapping AI red team activities to specific regulatory requirements for compliance evidence.
Penetratietestmethodologie voor AI-infrastructuur
Een gestructureerde methodologie voor het penetratietesten van AI/ML-systemen, met verkenning, kwetsbaarheidsbeoordeling, exploitatie en rapportage
Lab: een geautomatiseerde red team-pijplijn bouwen
Build a complete automated red teaming pipeline with attack generation, execution, scoring, and reporting.
Een custom red team-harness bouwen
Build a complete red team testing harness with parallel execution, logging, and scoring.
Een dashboard voor red team-resultaten bouwen
Build a real-time dashboard for tracking and visualizing red team campaign results across targets and techniques.
Ontwikkeling van een red team-testsuite met promptfoo
Build comprehensive red team test suites in Promptfoo with custom graders and multi-model targeting.
Simulaties van volledige opdrachten
End-to-end red team engagement simulations that replicate real-world AI security assessments, from scoping through report delivery.
Simulatie: red team voor een klantenchatbot
Complete red team engagement simulation targeting a customer service chatbot, covering prompt injection, data leakage, and policy violation testing.
Beroepspraktijk
Professional skills for AI red team practitioners, covering red team operations, report writing and communication, career development, and building organizational AI red team programs.
Red team-lab en -operaties
Operational foundations for AI red teaming: lab environments, evidence handling, engagement workflows, and team management for professional AI security assessments.
Snelle referentie-cheatsheet voor het AI red team
Quick reference-cheatsheet voor veelvoorkomende AI red team-technieken, payloads en toolcommando's.
OPSEC voor het AI red team
Operationele beveiliging voor AI-redteam-engagements, waaronder beheer van API-keys en het voorkomen van attributie.
Programma's voor continue redteaming
Doorlopende AI-redteamprogramma's ontwerpen en uitvoeren met geautomatiseerde testpijplijnen, metric-dashboards, KPI-frameworks, alert-gedreven assessments en integratie met CI/CD- en modeldeploymentworkflows.
Overzicht van red team-methodologie
Een gestructureerde methodologie voor AI-red team-opdrachten: fasen, deliverables, roldefinities en hoe AI-specifiek testen verschilt van traditionele penetratietesten.
Feedbackloop tussen red team en verdediging
Build a continuous red team-defense improvement loop with automated testing and metric tracking.
Walkthrough: Azure OpenAI red team
Complete red team walkthrough for Azure OpenAI deployments: testing content filters, managed identity exploitation, prompt flow injection, data integration attacks, and Azure Monitor evasion.
Walkthrough: AWS Bedrock red team
Complete guide to red teaming AWS Bedrock deployments: testing guardrails bypass techniques, knowledge base data exfiltration, agent prompt injection, model customization abuse, and CloudTrail evasion.
Red team-walkthrough van Vertex AI (platform-walkthrough)
Complete red team walkthrough for Google Vertex AI: testing prediction endpoints, Model Garden assessments, Feature Store probing, and exploiting Vertex AI Agents and Extensions.
Red team-evaluaties automatiseren met Promptfoo
Complete walkthrough for setting up automated red team evaluation pipelines using Promptfoo, covering configuration, custom evaluators, adversarial dataset generation, CI integration, and result analysis.
Promptfoo voor red team-evaluatie
Configure Promptfoo for comprehensive red team evaluation with custom assertions and graders.
End-to-end walkthrough van promptfoo
Complete walkthrough of promptfoo for AI red teaming: configuration files, provider setup, running evaluations, red team plugins, assertion-based scoring, reporting, and CI/CD integration.
Microsoft PyRIT voor georkestreerde multi-turn-aanvallen
Comprehensive walkthrough for using Microsoft PyRIT to design and execute orchestrated multi-turn attack campaigns against LLM applications, covering orchestrator configuration, converter chains, scoring strategies, and campaign analysis.