Practical guidesAI Customer Data Access Testing: Lessons from Amadeus
Test AI customer data access after the Amadeus airline breach: check record permissions, unnecessary data exposure, changed booking references and handovers.
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Practical reading for people making real business decisions. Explore how to test an AI workflow, investigate an unexpected result or decide what to build next.
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Practical guidesTest AI customer data access after the Amadeus airline breach: check record permissions, unnecessary data exposure, changed booking references and handovers.
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Practical guidesFind AI workflow blind spots before launch. Lessons from supermarket refrigeration attacks for testing permissions, stale data, approvals and operational actions.
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Practical guidesTest AI workflow recovery after credential exposure. Use the NVIDIA Brev incident to examine revoked keys, dependent tools, permissions and verified restart.
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Practical guidesValidate AI-assisted incident response using the Sony So-net breach as context: identify affected records, separate facts from gaps and verify protective actions.
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Practical guidesTest AI agent monitoring coverage, missed alerts and response handovers. OpenAI’s update provides context for checking whether recorded activity leads to action.
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Practical guidesTest AI workflow fallbacks, timeouts and retries using the Google Cloud outage as context. Verify booking outcomes, duplicate prevention and human handovers.
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Practical guidesUse the Binance incident as context for AI workflow approval testing: match permissions to actions, recheck changed details and verify stopping and recovery.
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Practical guidesAI system validation checks answers, actions and human review against business requirements. Learn how to test approvals, final records and decision quality.
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Practical guidesTest indirect prompt injection in AI agents reading files and attachments. Check whether outside instructions can bypass permissions or authorise tool actions.
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Practical guidesTest AI agent accuracy, unsupported answers and consistency across repeated runs. Check facts, tool actions and final records against the same business rules.
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Practical guidesPlan AI disaster recovery and business continuity: stop harmful actions, restore records, verify workflow behaviour and rehearse a controlled restart.
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FindingsValidate AI agent audit trails by matching requests, approvals and tool actions to final records. Includes an executed local customer-record demonstration.
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Practical guidesA practical n8n AI workflow testing checklist covering routing, connected tools, duplicate events and final records. Recheck important cases after changes.
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Practical guidesValidate RAG chatbot answers for source support, retrieval quality, current policies and access rules. Test unsupported claims and missing information.
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IdeasValidate an AI business idea before building: define the problem, measure the current process, compare alternatives and set success criteria for a small pilot.
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Practical guidesTest AI agent permissions across connected tools, customer records and approval rules. Include prompt injection attempts and inspect the resulting actions.
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Practical guidesTest custom AI and API workflows for data mappings, permissions, retries and partial failures. Verify the final business record, beyond HTTP success.
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Practical guidesAn AI agent failure recovery checklist for timeouts, duplicate actions, stale approvals and unavailable tools. Verify retries against the actual final state.
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Case walkthroughsA practical AI agent regression testing guide: compare prompt, model and tool changes against approval rules, tool arguments and final workflow outcomes.
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Practical guidesTest AI agent refund approvals at policy boundaries. Check missing, mismatched and changed approvals, actual tool actions and final refund state before release.
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Practical guidesAn AI agent client handover checklist for agencies: document changes, tested rules, evidence, unresolved findings, owners and the human release decision.
Read the storyOur current walkthroughs use illustrative scenarios. Real findings and client stories will be identified with their context and permission.