{"id":"https://openalex.org/W7204108763","doi":"https://doi.org/10.48550/arxiv.2608.21203","title":"SENTRY: Deterministic, Intelligent Risk Assessment for IT Change Management","display_name":"SENTRY: Deterministic, Intelligent Risk Assessment for IT Change Management","publication_year":2026,"publication_date":"2026-08-21","ids":{"openalex":"https://openalex.org/W7204108763","doi":"https://doi.org/10.48550/arxiv.2608.21203"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.21203","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21203","pdf_url":"https://arxiv.org/pdf/2608.21203","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.21203","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148039872","display_name":"Daniel Arulpragasam","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I125133608","display_name":"Royal Bank of Canada","ror":"https://ror.org/03hgnwx26","country_code":"CA","type":"other","lineage":["https://openalex.org/I125133608"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arulpragasam, Daniel","raw_affiliation_strings":["Royal Bank of Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Royal Bank of Canada","institution_ids":["https://openalex.org/I125133608"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147969119","display_name":"Christer Henrysson","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I125133608","display_name":"Royal Bank of Canada","ror":"https://ror.org/03hgnwx26","country_code":"CA","type":"other","lineage":["https://openalex.org/I125133608"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Henrysson, Christer","raw_affiliation_strings":["Royal Bank of Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Royal Bank of Canada","institution_ids":["https://openalex.org/I125133608"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147967310","display_name":"Ella Ly","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I125133608","display_name":"Royal Bank of Canada","ror":"https://ror.org/03hgnwx26","country_code":"CA","type":"other","lineage":["https://openalex.org/I125133608"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ly, Ella","raw_affiliation_strings":["Royal Bank of Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Royal Bank of Canada","institution_ids":["https://openalex.org/I125133608"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005255199","display_name":"Deepika Anbalagan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I125133608","display_name":"Royal Bank of Canada","ror":"https://ror.org/03hgnwx26","country_code":"CA","type":"other","lineage":["https://openalex.org/I125133608"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Anbalagan, Deepika","raw_affiliation_strings":["Royal Bank of Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Royal Bank of Canada","institution_ids":["https://openalex.org/I125133608"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006427579","display_name":"Leo Feng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Leo","raw_affiliation_strings":["RBC Borealis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RBC Borealis","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.7416999936103821,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.7416999936103821,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.13979999721050262,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10430","display_name":"Software Engineering Techniques and Practices","score":0.09120000153779984,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/it-change-management","display_name":"IT change management","score":0.9850000143051147},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"risk assessment","score":0.8690000176429749},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.8180000185966492},{"id":"https://openalex.org/keywords/retrieval-augmented-generation","display_name":"retrieval-augmented generation","score":0.9760000109672546},{"id":"https://openalex.org/keywords/shap","display_name":"SHAP","score":0.9150000214576721},{"id":"https://openalex.org/keywords/financial-institutions","display_name":"financial institutions","score":0.6159999966621399},{"id":"https://openalex.org/keywords/regulatory-compliance","display_name":"regulatory compliance","score":0.6019999980926514}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7523999810218811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6815999746322632},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5562000274658203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5252000093460083},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.5174000263214111},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5097000002861023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4964999854564667},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C123961466","wikidata":"https://www.wikidata.org/wiki/Q1061970","display_name":"Change management (ITSM)","level":3,"score":0.37560001015663147},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.37070000171661377},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29490000009536743},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26350000500679016},{"id":"https://openalex.org/C36391188","wikidata":"https://www.wikidata.org/wiki/Q1939117","display_name":"Semantic change","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.21203","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21203","pdf_url":"https://arxiv.org/pdf/2608.21203","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.21203","doi":"https://doi.org/10.48550/arxiv.2608.21203","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.21203","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.21203","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21203","pdf_url":"https://arxiv.org/pdf/2608.21203","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204108763.pdf","grobid_xml":"https://content.openalex.org/works/W7204108763.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7155542296","https://openalex.org/W3195744076","https://openalex.org/W1794337646","https://openalex.org/W2057780903","https://openalex.org/W4391876997","https://openalex.org/W3096628115","https://openalex.org/W4414931889","https://openalex.org/W7204101386","https://openalex.org/W6903995652","https://openalex.org/W2053309337"],"abstract_inverted_index":{"Technology":[0],"change":[1,98,109,140,190],"management":[2],"in":[3,107,188],"large":[4],"financial":[5],"institutions":[6,20],"depends":[7],"on":[8,23,138],"risk":[9,52,105],"assessments":[10],"that":[11,42,55,114],"are":[12,28],"accurate,":[13],"consistent,":[14],"and":[15,33,71,85,93,130,149,153,178],"auditable.":[16],"In":[17],"practice,":[18],"many":[19],"still":[21],"rely":[22],"self-reported":[24],"questionnaires.":[25],"Those":[26],"questionnaires":[27],"subjective,":[29],"easy":[30],"to":[31],"game,":[32],"poor":[34],"at":[35,158],"separating":[36],"routine":[37],"changes":[38,157],"from":[39,66],"the":[40,104,127,162,165,172,183],"ones":[41],"later":[43],"trigger":[44],"major":[45],"incidents.":[46],"This":[47],"paper":[48],"presents":[49],"SENTRY,":[50],"a":[51,60,90,117,144],"assessment":[53],"platform":[54],"replaces":[56],"questionnaire-based":[57],"scoring":[58],"with":[59,89],"deterministic":[61,129],"machine":[62,186],"learning":[63,187],"pipeline":[64],"built":[65],"gradient-boosted":[67],"decision":[68],"trees":[69],"(XGBoost)":[70],"hybrid":[72,91],"retrieval-augmented":[73],"generation":[74],"(RAG).":[75],"The":[76,100],"system":[77],"combines":[78],"structured":[79],"operational":[80],"metadata,":[81],"application":[82],"dependency":[83],"graphs,":[84],"historical":[86,97],"incident":[87],"records":[88],"semantic":[92],"lexical":[94],"search":[95],"over":[96],"requests.":[99],"retrieval":[101],"step":[102],"captures":[103],"signal":[106,115],"unstructured":[108],"request":[110],"text,":[111],"then":[112],"compresses":[113],"into":[116],"single":[118],"scalar":[119],"feature":[120],"before":[121],"model":[122,128],"inference.":[123],"That":[124],"design":[125,177],"keeps":[126],"preserves":[131],"per-prediction":[132],"explainability":[133],"via":[134],"SHAP":[135],"values.":[136],"Evaluated":[137],"enterprise-scale":[139],"data,":[141],"SENTRY":[142],"achieves":[143],"ROC":[145],"AUC":[146],"of":[147,164,185],"0.87":[148],"85%":[150],"overall":[151],"accuracy,":[152],"it":[154],"detects":[155],"high-risk":[156],"roughly":[159],"3.25":[160],"times":[161],"rate":[163],"existing":[166],"process.":[167],"We":[168],"close":[169],"by":[170],"examining":[171],"architectural":[173],"trade-offs":[174],"behind":[175],"this":[176],"what":[179],"they":[180],"imply":[181],"for":[182],"use":[184],"regulated":[189],"management.":[191]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-25T00:00:00"}
