# assessment
112 artikelengetagd met “assessment”
MCP-beveiligingstesten: hoe je MCP-servers test op kwetsbaarheden
Een defensief gerichte handleiding voor het beveiligingstesten van MCP-serverimplementaties -- methodologie voor MCP-beveiligingsbeoordelingen, scantools, veelvoorkomende testcases voor auth-bypass, injectie, traversal en datalekken, met werkende testscripts en rapportagesjablonen.
Beoordeling na een AI-incident
Het uitvoeren van beoordelingen na een incident voor AI-beveiligingsgebeurtenissen, inclusief root-cause-analyse.
Overzicht van oefenexamens
Overview of AI red teaming practice exams, preparation strategies, exam structure, and tips for maximizing your score.
Beveiligingsassessment van het A2A-protocol
Assessment covering multi-agent system vulnerabilities, trust boundary attacks, and agent-to-agent protocol exploitation.
Beveiligingsassessment van agentarchitectuur
Assessment covering agent design patterns, tool sandboxing, multi-agent trust, and MCP security.
Assessment van agentmisbruik
Test your understanding of AI agent security, tool-use attacks, confused deputy scenarios, and agentic system exploitation with 10 intermediate-level questions.
Beveiligingsassessment van agentgeheugen
Assessment covering memory poisoning, context manipulation, exfiltration, and cross-session persistence attacks.
Assessment van agentic misbruik (assessment)
Test your knowledge of agentic AI attacks, MCP exploitation, function calling abuse, and multi-agent system vulnerabilities with 15 intermediate-level questions.
Assessment van geautomatiseerde redteaming
Assessment of automated attack generation tools including PAIR, TAP, GCG, and custom harness development.
Geavanceerd beveiligingsassessment van cloud-AI
15-question advanced assessment covering cloud AI attack surfaces across AWS, Azure, and GCP: guardrail bypass, knowledge base exploitation, managed identity abuse, model customization risks, and multi-cloud attack paths.
Beveiligingsassessment van cloud-AI
Test your knowledge of AWS, Azure, and GCP AI service security with 15 intermediate-level questions covering cloud-specific attack surfaces and misconfigurations.
Beoordeling van multi-cloud AI-beveiliging
Assessment spanning AWS Bedrock, Azure OpenAI, and GCP Vertex AI security configurations and misconfigurations.
Assessment van cloud-AI-platforms
Assessment covering AWS Bedrock, Azure OpenAI, GCP Vertex AI, and multi-cloud security strategies.
Veiligheidsassessment van code-executie
Assessment of LLM-generated code safety, sandbox escape techniques, and code review automation.
Beveiligingsassessment van codegeneratie (assessment)
Test your knowledge of AI code generation security including coding assistant risks, suggestion poisoning, IDE integration threats, and secure AI-assisted development with 15 questions.
Beveiligingsassessment van het context window
Assessment of context window overflow, attention manipulation, and long-context exploitation techniques.
Assessment van continue AI-monitoring
Assessment on monitoring strategies, anomaly detection, alerting thresholds, and operational security.
Assessment van cross-model transfer
Assessment of attack transferability across model families, versions, and providers.
Assessment van datavergiftiging
Comprehensive assessment of training data poisoning, synthetic data attacks, and supply chain vulnerabilities.
Assessment van dataprivacy in AI
Assessment on training data privacy, membership inference, data extraction, and privacy-preserving techniques.
Assessment van de grondbeginselen van verdediging
Test your understanding of AI defense mechanisms including input/output filtering, guardrails, sandboxing, and defense-in-depth strategies with 9 intermediate-level questions.
Assessment van verdediging en mitigatie (assessment)
Test your knowledge of AI guardrails, monitoring systems, incident response, and defense-in-depth strategies with 15 intermediate-level questions.
Beoordeling van embedding- en vectoraanvallen
Assessment of adversarial embedding perturbation, similarity manipulation, and vector database poisoning.
Beoordeling van embedding- en vectorbeveiliging (beoordeling)
Test your understanding of embedding inversion attacks, vector database security, similarity search manipulation, and privacy risks of stored embeddings with 10 questions.
AI-ethiek en juridisch assessment
Assessment on ethical frameworks, legal considerations, and responsible disclosure in AI security.
Compliance-assessment voor de EU AI Act
Comprehensive assessment of organizational readiness for EU AI Act requirements including red team testing mandates.
Beoordeling van fine-tuning-aanvallen
Assessment of safety degradation through fine-tuning, backdoor insertion, and alignment removal techniques.
Beveiligingsbeoordeling van fine-tuning
Test your knowledge of fine-tuning security risks including LoRA attacks, RLHF manipulation, safety degradation, and catastrophic forgetting with 15 questions.
AI-forensics assessment
Test your knowledge of AI incident response, log analysis, evidence preservation, behavioral analysis, and forensic investigation techniques with 15 questions.
Beoordeling grondslagen
Test your understanding of LLM fundamentals, core terminology, and the AI threat landscape with 15 intermediate-level questions.
Beoordeling onderzoek aan de grens
Comprehensive assessment covering adversarial robustness, alignment faking, sleeper agents, and emerging research directions in AI security.
Beveiligingsbeoordeling van function calling
Assessment focused on JSON schema injection, parameter manipulation, recursive calling, and result poisoning attacks.
Governance-beoordeling
Test your knowledge of AI governance, regulatory frameworks, compliance requirements, and responsible AI practices with 15 intermediate-level questions.
Beoordeling van guardrails-implementatie
Test your understanding of guardrail implementation strategies, content classification systems, safety taxonomies, and guardrail bypass techniques with 9 intermediate-level questions.
Beoordeling van IAM voor AI-systemen
Assessment of identity and access management vulnerabilities specific to AI service deployments.
Impactbeoordeling
Test your understanding of AI system impact scenarios including misinformation generation, harmful content, reputation damage, denial of service, data corruption, financial fraud, and compliance violations with 10 questions.
Assessment van AI incident response
Assessment of AI-specific incident response procedures, forensics, and recovery capabilities.
Beoordeling incidentrespons
Assessment on AI incident response procedures, evidence collection, and post-incident analysis.
Beoordeling infrastructuurbeveiliging
Assessment covering model serving, container security, API gateway hardening, and deployment pipeline threats.
Beoordeling infrastructuurbeveiliging (beoordeling)
Test your knowledge of AI infrastructure security including model serving, API security, deployment architectures, and supply chain risks with 10 intermediate-level questions.
Beoordeling van jailbreak-technieken
Test your knowledge of LLM jailbreaking methods, bypass strategies, and the mechanics behind safety training circumvention with 10 intermediate-level questions.
Beoordeling van juridische en ethische overwegingen
Test your understanding of the legal frameworks, ethical boundaries, responsible disclosure, and professional standards governing AI red teaming with 8 beginner-level questions.
Beveiligingsbeoordeling van de LLM-architectuur
Assessment on transformer internals, tokenization security, attention vulnerabilities, and model-level attacks.
Beoordeling van LLM-fingerprinting
Assessment of model identification, behavioral fingerprinting, and architecture inference techniques.
Beoordeling van LLMOps-beveiliging (beoordeling)
Test your understanding of MLOps pipeline security, model deployment attacks, API security, monitoring gaps, model registry poisoning, and CI/CD for ML with 10 questions.
Geavanceerd beveiligingsassessment van MCP
Comprehensive assessment of MCP protocol vulnerabilities including transport attacks, tool poisoning, and capability escalation.
Beveiligingsbeoordeling van MCP
Evaluate your knowledge of Model Context Protocol security, tool registration vulnerabilities, transport-layer risks, and MCP-specific attack vectors with 10 intermediate-level questions.
Beoordeling van red team-methodologie
Test your understanding of AI red team engagement methodology, from scoping through reporting, including structured approaches, attack planning, and finding documentation with 9 intermediate-level questions.
Beoordeling van modelextractie en privacy
Test your advanced knowledge of model extraction, model stealing, membership inference, and intellectual property theft attacks against AI systems with 9 questions.
Beoordeling van de model-supply chain
Assessment covering model provenance, checkpoint manipulation, and third-party model risks.
Beoordeling van monitoring en detectie
Test your understanding of AI security monitoring, anomaly detection, logging strategies, and incident detection for LLM-based applications with 9 intermediate-level questions.
Beoordeling van multi-turn-aanvallen
Assessment of crescendo attacks, conversational manipulation, and progressive jailbreaking techniques.
Geavanceerd multimodaal assessment
In-depth assessment of cross-modal attack vectors including image injection, audio manipulation, and steganographic techniques.
Beoordeling van multimodale verdediging
Assessment covering defenses against visual injection, audio attacks, and cross-modal exploitation.
Beoordeling van multimodale aanvallen
Test your understanding of attacks against multimodal AI systems, including image-based injection, audio adversarial examples, and cross-modal manipulation with 10 intermediate-level questions.
NIST AI RMF-beoordeling
Assessment covering implementation of NIST AI Risk Management Framework across all four functions.
Beoordeling van uitvoerveiligheid
Assessment of output filtering, content classification, watermarking, and data leakage prevention.
Beoordeling van privacyaanvallen
Test your advanced knowledge of privacy attacks against AI systems including data leakage, PII extraction, differential privacy failures, and inference-time privacy risks with 9 questions.
Beoordeling van professionele vaardigheden
Test your knowledge of AI red teaming methodology, report writing, client engagement, and professional practice with 15 intermediate-level questions.
Beoordeling van prompt injection
Test your knowledge of prompt injection types, techniques, defense mechanisms, and real-world exploitation with 15 intermediate-level questions.
Beoordeling van promptlekkage
Assessment of system prompt extraction techniques including direct probing, logprob analysis, and side-channel methods.
Beoordeling van RAG- en data-aanvallen
Test your knowledge of Retrieval-Augmented Generation attack vectors, knowledge base poisoning, embedding manipulation, and data exfiltration through RAG systems with 10 intermediate-level questions.
Beoordeling van rate limiting en misbruik
Assessment of rate limiting bypass techniques, cost-based attacks, and billing abuse in AI services.
Beveiligingsbeoordeling van redeneermodellen
Assessment of chain-of-thought exploitation, reasoning trace manipulation, and thinking-token attacks.
Beoordeling van recon en fingerprinting
Test your knowledge of AI system reconnaissance, model fingerprinting, architecture enumeration, and information gathering techniques with 8 beginner-level questions.
Beoordeling van red team-methodologie (beoordeling)
Assessment on scoping, planning, execution, and reporting of AI red team engagements.
Beoordeling van de planning van red team-engagements
Assessment of planning, scoping, authorization, and execution methodology for AI red team engagements.
Beoordeling van verantwoorde AI-disclosure
Assessment of responsible disclosure practices, vulnerability reporting, and coordinated disclosure for AI systems.
Beoordeling van misbruik van RLHF
Assessment of reinforcement learning from human feedback pipeline vulnerabilities and reward hacking.
Beoordeling van steganografische aanvallen
Assessment of hidden payload delivery through steganography, zero-width characters, and encoding tricks.
Assessment van de AI-supply chain
Assessment covering model provenance, dependency security, artifact integrity, and deployment verification.
Geavanceerd assessment van toolvaardigheid
Advanced assessment on Garak, PyRIT, HarmBench, and custom tool development proficiency.
Toetsing toolvaardigheid
Test je kennis van AI-red-teaming-tools, frameworks, automatiseringsplatforms en hun juiste toepassing in beveiligingsbeoordelingen met 9 vragen op gemiddeld niveau.
Beveiligingsbeoordeling van de trainingspijplijn
Test your advanced knowledge of training pipeline attacks including data poisoning, fine-tuning hijacking, RLHF manipulation, and backdoor implantation with 9 questions.
Beveiligingsbeoordeling van workflowpatronen
Assessment of sequential, parallel, and hierarchical agent workflow exploitation techniques.
Overzicht van vaardigheidsverificatie
Overview of timed skill verification labs for AI red teaming, including format, pass/fail criteria, and preparation guidance.
Capstone: AI-beveiliging van autonome voertuigen
Full-scope security assessment of an autonomous vehicle AI decision system covering perception manipulation, planning attacks, and safety override bypass.
Capstone: assessment van een codeerassistent
Capstone exercise: security assessment of an AI code assistant with repository and CI/CD access.
Capstone: educatief AI-platform
Security assessment of an AI tutoring platform addressing content safety, student data privacy, and academic integrity.
Capstone: RAG-assessment voor de enterprise
Capstone exercise: complete red team assessment of an enterprise RAG system with role-based access.
Capstone: diepgaand assessment met garak
Tool-specific capstone using Garak for comprehensive vulnerability scanning including plugin development and custom probe creation.
Capstone: AI-reviewsysteem voor juridische teksten
End-to-end security assessment of an AI-powered legal document review system covering data confidentiality, output integrity, and adversarial manipulation.
Capstone: voer een volledige beveiligingsaudit van een model uit
Perform a comprehensive security audit of an LLM deployment covering model behavior, API security, data handling, access controls, and compliance alignment.
Capstone: assessment van een multi-agent systeem
Capstone exercise: end-to-end security assessment of a multi-agent platform with MCP and A2A.
Capstone: assessment van een multimodaal systeem
Capstone exercise: red team assessment of a multimodal AI system processing images, documents, and text.
Capstone: uitgebreid beveiligingsassessment van RAG
Conduct a thorough security assessment of a Retrieval-Augmented Generation system, testing document poisoning, retrieval manipulation, context window attacks, and data exfiltration vectors.
Capstone: AI-beveiliging van de supply chain
Red team assessment of AI-driven supply chain optimization covering data poisoning, decision manipulation, and operational disruption.
AI-auditmethodologieën
Gestructureerde methodologieën voor het auditen van AI-systemen, met betrekking tot technische, organisatorische en compliancedimensies.
Methodologie voor AI-impactbeoordeling
Methodologie voor het uitvoeren van algoritmische impactbeoordelingen die door opkomende regelgeving worden vereist.
AI-verzekeringen en risico-overdracht
Inzicht in AI-verzekeringsproducten en mechanismen voor risico-overdracht ter bescherming van organisaties.
AI Vendor Security Assessment Framework
Framework voor het evalueren van de beveiligingsstatus van AI-leveranciers, modelproviders en service-integraties.
NIST AI 600-1 GenAI-risicoprofiel
NIST AI 600-1 risicoprofiel voor generatieve AI met risicocategorieën, mappings van controles, beoordelingsmethodologie en praktische toepassing voor red-team-engagements.
Gids voor het beoordelen van AI-risico's bij leveranciers
Conducting AI risk assessments of third-party suppliers and their AI components.
Volwassenheidsmodel voor AI-governance
Assessing and advancing organizational AI governance maturity across multiple capability dimensions.
AI-beveiliging in het onderwijs
Security risks of AI in education — covering academic integrity threats, adaptive learning manipulation, student data privacy, AI tutoring attacks, and assessment system exploitation.
AI-beveiliging bij onderwijstoetsing
Security of AI-powered grading, plagiarism detection, personalized learning, and student evaluation systems.
Beveiliging bij AI-inkoop door de overheid
Security assessment considerations for government AI procurement and vendor evaluation.
AI-beveiliging voor onderwijsbeoordeling (sectoren)
Security of AI in educational assessment including automated grading, proctoring, and plagiarism detection.
Penetratietestmethodologie voor AI-infrastructuur
Een gestructureerde methodologie voor het penetratietesten van AI/ML-systemen, met verkenning, kwetsbaarheidsbeoordeling, exploitatie en rapportage
Lab: beveiligingsbeoordeling van cloud-AI
Conduct an end-to-end security assessment of a cloud-deployed AI service, covering API security, model vulnerabilities, data handling, and infrastructure configuration.
Lab: cloud-AI-beoordeling
Hands-on lab for conducting an end-to-end security assessment of a cloud-deployed AI system including infrastructure review, API testing, model security evaluation, and data flow analysis.
Simulaties van volledige opdrachten
End-to-end red team engagement simulations that replicate real-world AI security assessments, from scoping through report delivery.
Beveiligingsbeoordeling van een fintech-chatbot
Conduct a full security assessment of a financial services chatbot handling sensitive transactions.
Beoordeling van juridische AI voor documentreview
Assess a legal AI system that reviews contracts for vulnerabilities in document processing and privilege escalation.
Simulatie: AI-beoordeling van een startup
Red team a startup's AI-powered product with limited scope and budget, making pragmatic tradeoffs between thoroughness and time constraints.
Beveiligingsbeoordeling van MLflow
Security assessment of MLflow deployments including tracking server vulnerabilities, artifact store exploitation, and model registry attacks.
Methodologie voor het red teamen van multimodale systemen
Gestructureerde methodologie voor het uitvoeren van beveiligingsassessments van multimodale AI-systemen, met scoping, enumeratie van het aanvalsoppervlak, testuitvoering en rapportage met MITRE ATLAS-mappings.
Volwassenheidsmodel voor het AI red team (professional)
A structured maturity model for assessing and advancing the capabilities of AI red team programs across five progressive levels.
AI-redteaming methodologie
Een gestructureerde methodologie voor AI-redteamingopdrachten, met verkenning, het profileren van het doelwit, aanvalsplanning en de tradecraft die professionele beoordelingen onderscheidt.
Methodologie voor defense mapping
Methodologieën om defensieve controls die een doel-AI-systeem beschermen systematisch te identificeren en in kaart te brengen voordat je aanvallen uitvoert.
Methodologie voor assessment van agentic systemen
Comprehensive methodology for assessing agentic AI systems including tool use, memory, and multi-agent interactions.
Methodologie voor multi-modelbeoordeling
Methodology for assessing applications that use multiple AI models in pipelines or ensemble configurations.