{"ref":"content:teched-2026-xp160","page":"/content/teched-2026-xp160","json":"/content/teched-2026-xp160.json","generated":"2026-10-27","drafted_with_ai":true,"entity":{"id":"teched-2026-xp160","title":"Enhancing cyber resilience through AI-enabled tabletop exercises","url":"https://www.sap.com/events/teched/berlin/flow/sap/te26/catalog/page/catalog/session/1786630759133001FKg2","content_type":"talk","published_on":"source:sap-teched","explains":["capability:documentation"],"summary":"An AI-enabled platform that generates incident response tabletop exercises, evaluates them and improves them over time, built on cybersecurity frameworks, incident response documentation, system architecture and historical incident data, and producing a scenario and an ideal response model for each. The platform has no entry here and the abstract names nothing the atlas holds; the edge is to [Documentation](capability:documentation) only because the abstract names incident response documentation as an input, which is not the concern of documenting your own project that the capability covers. A TechEd 2026 hands-on session (Tuesday 27 October, Berlin), presented by Cedric HEBERT, Colleen Hebbert, John Bauer and Slim TRABELSI, written here from SAP's abstract; the recording is not yet published.","short":"Talk on AI-generated incident response tabletop exercises","offers":["tutorial"],"sources":[{"url":"https://developers.sap.com/build/teched","title":"SAP TechEd 2026 session catalogue feed","checked":"2026-10-11"}],"drafted_with_ai":true,"provenance":{"discovered_via":[{"source":"source:sap-teched","channel":"build/teched"}],"first_seen":"2026-10-11"}},"readings":{"liveness":[{"label":"Checked against the source","tier":"unknown","evidence":"nobody has checked it"},{"label":"Source reachable","tier":"unknown","evidence":"not crawled"},{"label":"Age","tier":"unknown","evidence":"no publication date"}],"compatibility":[{"label":"Version","tier":"unknown","evidence":"no version declared"},{"label":"Moved since?","tier":"unknown","evidence":"no publication date to compare"},{"label":"Findings","tier":"good","evidence":"none flagged"}],"reach":[{"value":null,"unit":"views"},{"value":null,"unit":"comments"},{"value":null,"unit":"likes"}]},"signals":null,"series":null,"edges":{"authors":[]}}