SCIKIQ IIB Motor 360 demo
AI assistant on
Leadership sees: State totals. Insurers as code names. No individual records. Demo switch. In a real build your role comes from your IIB login. How SCIKIQ works: Integrate·Curate·Govern·Activate
Who sees what · SCIKIQ Control

Personal data found, hidden and controlled by role

Why this matters to IIB. IIB holds personal data on crores of vehicle owners. This page shows where that data sits, how it is hidden, who may see what, and a log of every question asked.

No one sees a policyholder's full name or mobile number, not staff and not the AI. Each role sees only what it needs, and each question asked of the data is logged.


What the scan found. The scan read all 284 columns in the data as received, including every insurer file. It looks at each column's name and up to 2,000 of its text values.

It found 30 columns of personal data: names, mobile numbers, emails, dates of birth, PIN codes, registration, chassis and engine numbers. They sit in raw_health_policies, raw_life_policies, the policy files, raw_property_policies and the opening policy book. All are hidden before any person or the AI sees them.

It also marked 60 columns as business-sensitive: policy or claim numbers, money amounts and insurer names or codes.

Show all 284 columns
The scan runs once after the app starts. Re-scan runs it again now.

Personal data, 30 columns

TableColumnKindHow it was foundHidden as
raw_health_policiesraw_health_policiesholder_nameName Column name and 99.9% of sampled valuesFirst letter only, for example A***
raw_health_policiesraw_health_policiesholder_mobileMobile number Column name and 100% of sampled valuesLast 2 digits only, for example ******42
raw_health_policiesraw_health_policiesholder_emailEmail Column name and 100% of sampled valuesDomain only, for example ***@gmail.com
raw_health_policiesraw_health_policiesholder_dobDate of birth Column name and 100% of sampled valuesYear only, for example 1984
raw_health_policiesraw_health_policiesholder_pinPIN code Column name and 100% of sampled valuesFirst 3 digits only, for example 500***
raw_life_policiesraw_life_policiesholder_nameName Column name and 99.9% of sampled valuesFirst letter only, for example A***
raw_life_policiesraw_life_policiesholder_mobileMobile number Column name and 100% of sampled valuesLast 2 digits only, for example ******42
raw_life_policiesraw_life_policiesholder_dobDate of birth Column name and 100% of sampled valuesYear only, for example 1984
raw_life_policiesraw_life_policiesholder_pinPIN code Column name and 100% of sampled valuesFirst 3 digits only, for example 500***
Policy filesraw_policiesreg_noRegistration number Column name and 100% of sampled valuesState code only, for example TS******
Policy filesraw_policieschassis_noChassis number Column name and 100% of sampled valuesLast 4 characters only, for example ****7K2Q
Policy filesraw_policiesengine_noEngine number Column name and 98.2% of sampled valuesLast 4 characters only, for example ****3H91
Policy filesraw_policiesholder_nameName Column name and 99.9% of sampled valuesFirst letter only, for example A***
Policy filesraw_policiesholder_mobileMobile number Column name and 100% of sampled valuesLast 2 digits only, for example ******42
Policy filesraw_policiesholder_emailEmail Column name and 100% of sampled valuesDomain only, for example ***@gmail.com
Policy filesraw_policiesholder_dobDate of birth Column name and 100% of sampled valuesYear only, for example 1984
Policy filesraw_policiesholder_pinPIN code Column name and 100% of sampled valuesFirst 3 digits only, for example 500***
raw_property_policiesraw_property_policiesholder_nameName Column name and 99.8% of sampled valuesFirst letter only, for example A***
raw_property_policiesraw_property_policiesholder_mobileMobile number Column name and 100% of sampled valuesLast 2 digits only, for example ******42
raw_property_policiesraw_property_policiesholder_emailEmail Column name and 100% of sampled valuesDomain only, for example ***@gmail.com
raw_property_policiesraw_property_policiesholder_dobDate of birth Column name and 100% of sampled valuesYear only, for example 1984
raw_property_policiesraw_property_policiesholder_pinPIN code Column name and 100% of sampled valuesFirst 3 digits only, for example 500***
Opening policy bookraw_repository_policiesreg_noRegistration number Column name and 100% of sampled valuesState code only, for example TS******
Opening policy bookraw_repository_policieschassis_noChassis number Column name and 100% of sampled valuesLast 4 characters only, for example ****7K2Q
Opening policy bookraw_repository_policiesengine_noEngine number Column name and 98.2% of sampled valuesLast 4 characters only, for example ****3H91
Opening policy bookraw_repository_policiesholder_nameName Column name and 99.9% of sampled valuesFirst letter only, for example A***
Opening policy bookraw_repository_policiesholder_mobileMobile number Column name and 100% of sampled valuesLast 2 digits only, for example ******42
Opening policy bookraw_repository_policiesholder_emailEmail Column name and 100% of sampled valuesDomain only, for example ***@gmail.com
Opening policy bookraw_repository_policiesholder_dobDate of birth Column name and 100% of sampled valuesYear only, for example 1984
Opening policy bookraw_repository_policiesholder_pinPIN code Column name and 100% of sampled valuesFirst 3 digits only, for example 500***

Business-sensitive, 60 columns

TableColumnWhyHow it was found
Claims filesraw_claimsclaim_no Policy or claim number, which can link records to one person.Set by rule
Claims filesraw_claimspolicy_no Policy or claim number, which can link records to one person.Set by rule
Claims filesraw_claimsinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
Claims filesraw_claimsclaim_amount Commercially sensitive amount.Set by rule
Claims filesraw_claimspaid_amount Commercially sensitive amount.Set by rule
Claims since the September filesraw_claims_feedclaim_no Policy or claim number, which can link records to one person.Set by rule
Claims since the September filesraw_claims_feedpolicy_no Policy or claim number, which can link records to one person.Set by rule
Claims since the September filesraw_claims_feedinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
Claims since the September filesraw_claims_feedclaim_amount Commercially sensitive amount.Set by rule
Claims since the September filesraw_claims_feedpaid_amount Commercially sensitive amount.Set by rule
raw_health_claimsraw_health_claimsclaim_id Policy or claim number, which can link records to one person.Set by rule
raw_health_claimsraw_health_claimspolicy_no Policy or claim number, which can link records to one person.Set by rule
raw_health_claimsraw_health_claimsinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
raw_health_claimsraw_health_claimsbilled_amount Commercially sensitive amount.Set by rule
raw_health_claimsraw_health_claimsapproved_amount Commercially sensitive amount.Set by rule
raw_health_policiesraw_health_policiespolicy_no Policy or claim number, which can link records to one person.Set by rule
raw_health_policiesraw_health_policiesinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
raw_health_policiesraw_health_policiespremium Commercially sensitive amount.Set by rule
raw_health_productsraw_health_productsinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
Insurer listraw_insurersinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
Insurer listraw_insurersinsurer_name Insurer identity, shown by code name unless the role may see names.Set by rule
File issue lograw_issue_loginsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
raw_life_agentsraw_life_agentsinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
raw_life_death_claimsraw_life_death_claimsclaim_id Policy or claim number, which can link records to one person.Set by rule
raw_life_death_claimsraw_life_death_claimspolicy_no Policy or claim number, which can link records to one person.Set by rule
raw_life_death_claimsraw_life_death_claimsinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
raw_life_death_claimsraw_life_death_claimsclaim_amount Commercially sensitive amount.Set by rule
raw_life_policiesraw_life_policiespolicy_no Policy or claim number, which can link records to one person.Set by rule
raw_life_policiesraw_life_policiesinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
raw_life_policiesraw_life_policiesannual_premium Commercially sensitive amount.Set by rule
raw_life_productsraw_life_productsinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
File receipt lograw_load_loginsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
Policy filesraw_policiespolicy_no Policy or claim number, which can link records to one person.Set by rule
Policy filesraw_policiesinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
Policy filesraw_policiesidv Commercially sensitive amount.Set by rule
Policy filesraw_policiesod_premium Commercially sensitive amount.Set by rule
Policy filesraw_policiestp_premium Commercially sensitive amount.Set by rule
Policy filesraw_policiestotal_premium Commercially sensitive amount.Set by rule
Policy filesraw_policiesprior_policy_no Policy or claim number, which can link records to one person.Set by rule
Policy filesraw_policiespremium_change_pct Commercially sensitive amount.Set by rule
raw_property_claimsraw_property_claimsclaim_id Policy or claim number, which can link records to one person.Set by rule
raw_property_claimsraw_property_claimspolicy_no Policy or claim number, which can link records to one person.Set by rule
raw_property_claimsraw_property_claimsinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
raw_property_claimsraw_property_claimsclaim_amount Commercially sensitive amount.Set by rule
raw_property_claimsraw_property_claimspaid_amount Commercially sensitive amount.Set by rule
raw_property_insurersraw_property_insurersinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
raw_property_insurersraw_property_insurersinsurer_name Insurer identity, shown by code name unless the role may see names.Set by rule
raw_property_policiesraw_property_policiespolicy_no Policy or claim number, which can link records to one person.Set by rule
raw_property_policiesraw_property_policiesinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
raw_property_policiesraw_property_policiespremium Commercially sensitive amount.Set by rule
raw_property_policiesraw_property_policiesprior_policy_no Policy or claim number, which can link records to one person.Set by rule
Opening policy bookraw_repository_policiespolicy_no Policy or claim number, which can link records to one person.Set by rule
Opening policy bookraw_repository_policiesinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule
Opening policy bookraw_repository_policiesidv Commercially sensitive amount.Set by rule
Opening policy bookraw_repository_policiesod_premium Commercially sensitive amount.Set by rule
Opening policy bookraw_repository_policiestp_premium Commercially sensitive amount.Set by rule
Opening policy bookraw_repository_policiestotal_premium Commercially sensitive amount.Set by rule
Opening policy bookraw_repository_policiesprior_policy_no Policy or claim number, which can link records to one person.Set by rule
Opening policy bookraw_repository_policiespremium_change_pct Commercially sensitive amount.Set by rule
What each insurer said it sentraw_submissionsinsurer_code Insurer identity, shown by code name unless the role may see names.Set by rule

No personal data, 194 columns

TableColumnWhat the scan saw
Claims filesraw_claimsclaim_typeNo personal-data pattern in 2,000 sampled values.
Claims filesraw_claimsloss_dateNo personal-data pattern in 2,000 sampled values.
Claims filesraw_claimsreport_dateNo personal-data pattern in 2,000 sampled values.
Claims filesraw_claimsstatusNo personal-data pattern in 2,000 sampled values.
Claims filesraw_claimsrto_codeNo personal-data pattern in 2,000 sampled values.
Claims filesraw_claimsstate_codeNo personal-data pattern in 2,000 sampled values.
Claims filesraw_claimsvehicle_classNo personal-data pattern in 2,000 sampled values.
Claims filesraw_claimscycleNo personal-data pattern in 2,000 sampled values.
Claims since the September filesraw_claims_feedclaim_typeNo personal-data pattern in 316 sampled values.
Claims since the September filesraw_claims_feedloss_dateNo personal-data pattern in 316 sampled values.
Claims since the September filesraw_claims_feedreport_dateNo personal-data pattern in 316 sampled values.
Claims since the September filesraw_claims_feedstatusNo personal-data pattern in 316 sampled values.
Claims since the September filesraw_claims_feedrto_codeNo personal-data pattern in 316 sampled values.
Claims since the September filesraw_claims_feedstate_codeNo personal-data pattern in 316 sampled values.
Claims since the September filesraw_claims_feedvehicle_classNo personal-data pattern in 316 sampled values.
Claims since the September filesraw_claims_feedcycleNo personal-data pattern in 316 sampled values.
raw_health_claimsraw_health_claimsproduct_idNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimsrohini_idNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimsdistrict_codeNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimsstate_codeNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimsadmission_dateNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimsdischarge_dateNo personal-data pattern in 1,996 sampled values.
raw_health_claimsraw_health_claimslos_daysNo personal-data pattern in 1,996 sampled values.
raw_health_claimsraw_health_claimsprocedure_codeNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimsprocedure_groupNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimsclaim_typeNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimsstatusNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimsdeduction_reasonNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimsreport_dateNo personal-data pattern in 2,000 sampled values.
raw_health_claimsraw_health_claimssettled_dateNo personal-data pattern in 1,968 sampled values.
raw_health_hospitalsraw_health_hospitalsrohini_idNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalshospital_nameNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalshospital_typeNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalsspecialityNo personal-data pattern in 180 sampled values.
raw_health_hospitalsraw_health_hospitalsbedsNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalsnabhNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalsaddressNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalsdistrict_codeNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalsstate_codeNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalstierNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalslatNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalslonNo personal-data pattern in 900 sampled values.
raw_health_hospitalsraw_health_hospitalscapabilitiesNo personal-data pattern in 891 sampled values.
raw_health_policiesraw_health_policiesproduct_idNo personal-data pattern in 2,000 sampled values.
raw_health_policiesraw_health_policiesmembersNo personal-data pattern in 2,000 sampled values.
raw_health_policiesraw_health_policiessum_insuredNo personal-data pattern in 2,000 sampled values.
raw_health_policiesraw_health_policiesinception_dateNo personal-data pattern in 2,000 sampled values.
raw_health_policiesraw_health_policiesstart_dateNo personal-data pattern in 2,000 sampled values.
raw_health_policiesraw_health_policiesend_dateNo personal-data pattern in 2,000 sampled values.
raw_health_policiesraw_health_policieschannelNo personal-data pattern in 2,000 sampled values.
raw_health_policiesraw_health_policiesdistrict_codeNo personal-data pattern in 2,000 sampled values.
raw_health_policiesraw_health_policiesstate_codeNo personal-data pattern in 2,000 sampled values.
raw_health_proceduresraw_health_proceduresprocedure_codeNo personal-data pattern in 25 sampled values.
raw_health_proceduresraw_health_proceduresprocedure_nameNo personal-data pattern in 25 sampled values.
raw_health_proceduresraw_health_proceduresprocedure_groupNo personal-data pattern in 25 sampled values.
raw_health_proceduresraw_health_proceduresbase_costNo personal-data pattern in 25 sampled values.
raw_health_proceduresraw_health_procedurestypical_los_daysNo personal-data pattern in 25 sampled values.
raw_health_proceduresraw_health_proceduresrequired_capabilityNo personal-data pattern in 25 sampled values.
raw_health_proceduresraw_health_proceduresseasonalNo personal-data pattern in 25 sampled values.
raw_health_proceduresraw_health_proceduresseasonNo personal-data pattern in 25 sampled values.
raw_health_proceduresraw_health_proceduresshareNo personal-data pattern in 25 sampled values.
raw_health_productsraw_health_productsproduct_idNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsproduct_nameNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsproduct_typeNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productssum_insured_optionsNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsdeductibleNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsped_wait_monthsNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsspecific_disease_wait_monthsNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsinitial_wait_daysNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsroom_rent_limitNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsroom_rent_cap_pctNo personal-data pattern in 9 sampled values.
raw_health_productsraw_health_productscopay_pctNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsmaternity_coverNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsmaternity_wait_monthsNo personal-data pattern in 9 sampled values.
raw_health_productsraw_health_productsrestoration_benefitNo personal-data pattern in 30 sampled values.
raw_health_productsraw_health_productsexclusionsNo personal-data pattern in 30 sampled values.
raw_health_weatherraw_health_weatherweek_startNo personal-data pattern in 2,000 sampled values.
raw_health_weatherraw_health_weatherdistrict_codeNo personal-data pattern in 2,000 sampled values.
raw_health_weatherraw_health_weatherstate_codeNo personal-data pattern in 2,000 sampled values.
raw_health_weatherraw_health_weatherrainfall_mmNo personal-data pattern in 2,000 sampled values.
raw_health_weatherraw_health_weathertemp_max_cNo personal-data pattern in 2,000 sampled values.
raw_health_weatherraw_health_weatheraqiNo personal-data pattern in 2,000 sampled values.
Insurer listraw_insurersinsurer_aliasNo personal-data pattern in 25 sampled values.
Insurer listraw_insurersmarket_shareNo personal-data pattern in 25 sampled values.
File issue lograw_issue_logcycleNo personal-data pattern in 16 sampled values.
File issue lograw_issue_logfile_typeNo personal-data pattern in 16 sampled values.
File issue lograw_issue_logissue_typeNo personal-data pattern in 16 sampled values.
File issue lograw_issue_logdescriptionNo personal-data pattern in 16 sampled values.
File issue lograw_issue_loglogged_byNo personal-data pattern in 16 sampled values.
raw_life_agentsraw_life_agentsagent_idNo personal-data pattern in 2,000 sampled values.
raw_life_agentsraw_life_agentsregistryNo personal-data pattern in 2,000 sampled values.
raw_life_agentsraw_life_agentschannelNo personal-data pattern in 2,000 sampled values.
raw_life_agentsraw_life_agentsdistrict_codeNo personal-data pattern in 2,000 sampled values.
raw_life_agentsraw_life_agentsstate_codeNo personal-data pattern in 2,000 sampled values.
raw_life_agentsraw_life_agentslicence_dateNo personal-data pattern in 2,000 sampled values.
raw_life_agentsraw_life_agentsstatusNo personal-data pattern in 2,000 sampled values.
raw_life_death_claimsraw_life_death_claimsproduct_typeNo personal-data pattern in 2,000 sampled values.
raw_life_death_claimsraw_life_death_claimschannelNo personal-data pattern in 2,000 sampled values.
raw_life_death_claimsraw_life_death_claimsagent_idNo personal-data pattern in 1,828 sampled values.
raw_life_death_claimsraw_life_death_claimsdistrict_codeNo personal-data pattern in 2,000 sampled values.
raw_life_death_claimsraw_life_death_claimsstate_codeNo personal-data pattern in 2,000 sampled values.
raw_life_death_claimsraw_life_death_claimsdeath_dateNo personal-data pattern in 2,000 sampled values.
raw_life_death_claimsraw_life_death_claimsintimation_dateNo personal-data pattern in 2,000 sampled values.
raw_life_death_claimsraw_life_death_claimscause_groupNo personal-data pattern in 2,000 sampled values.
raw_life_death_claimsraw_life_death_claimsdecisionNo personal-data pattern in 2,000 sampled values.
raw_life_death_claimsraw_life_death_claimsdecision_dateNo personal-data pattern in 1,909 sampled values.
raw_life_death_claimsraw_life_death_claimsduration_daysNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiesproduct_idNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiesproduct_typeNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policieschannelNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiesagent_idNo personal-data pattern in 1,756 sampled values.
raw_life_policiesraw_life_policiesstart_dateNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiespolicy_term_yearsNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiessum_assuredNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiesage_at_entryNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiesgenderNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiesmedical_underwritingNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiesdistrict_codeNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiesstate_codeNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policiesstatusNo personal-data pattern in 2,000 sampled values.
raw_life_policiesraw_life_policieslapse_dateNo personal-data pattern in 208 sampled values.
raw_life_policiesraw_life_policiessurrender_dateNo personal-data pattern in 59 sampled values.
raw_life_productsraw_life_productsproduct_idNo personal-data pattern in 12 sampled values.
raw_life_productsraw_life_productsproduct_nameNo personal-data pattern in 12 sampled values.
raw_life_productsraw_life_productsproduct_typeNo personal-data pattern in 12 sampled values.
raw_life_productsraw_life_productspayment_termNo personal-data pattern in 12 sampled values.
raw_life_productsraw_life_productspolicy_term_min_yearsNo personal-data pattern in 12 sampled values.
raw_life_productsraw_life_productspolicy_term_max_yearsNo personal-data pattern in 12 sampled values.
raw_life_productsraw_life_productsmin_entry_ageNo personal-data pattern in 12 sampled values.
raw_life_productsraw_life_productsmax_entry_ageNo personal-data pattern in 12 sampled values.
raw_life_productsraw_life_productsmin_sum_assuredNo personal-data pattern in 12 sampled values.
raw_life_productsraw_life_productsmax_sum_assuredNo personal-data pattern in 12 sampled values.
raw_life_productsraw_life_productslaunch_dateNo personal-data pattern in 12 sampled values.
File receipt lograw_load_logfile_nameNo personal-data pattern in 1,202 sampled values.
File receipt lograw_load_logcycleNo personal-data pattern in 1,200 sampled values.
File receipt lograw_load_logfile_typeNo personal-data pattern in 1,202 sampled values.
File receipt lograw_load_logrows_landedNumeric or date column. Personal-data patterns apply to text values.
File receipt lograw_load_logsha256No personal-data pattern in 1,202 sampled values.
File receipt lograw_load_logloaded_atNo personal-data pattern in 1,202 sampled values.
Policy filesraw_policiescycleNo personal-data pattern in 2,000 sampled values.
Policy filesraw_policiesissue_dateNo personal-data pattern in 2,000 sampled values.
Policy filesraw_policiesstart_dateNo personal-data pattern in 2,000 sampled values.
Policy filesraw_policiesend_dateNo personal-data pattern in 2,000 sampled values.
Policy filesraw_policiescover_typeNo personal-data pattern in 2,000 sampled values.
Policy filesraw_policiesvehicle_classNo personal-data pattern in 2,000 sampled values.
Policy filesraw_policiesvehicle_ageNo personal-data pattern in 2,000 sampled values.
Policy filesraw_policieschannelNo personal-data pattern in 2,000 sampled values.
Policy filesraw_policiesrto_codeNo personal-data pattern in 2,000 sampled values.
Policy filesraw_policiesstate_codeNo personal-data pattern in 1,998 sampled values.
Policy filesraw_policiesprior_lapse_countNo personal-data pattern in 2,000 sampled values.
raw_property_claimsraw_property_claimsdistrict_codeNo personal-data pattern in 1,821 sampled values.
raw_property_claimsraw_property_claimsstate_codeNo personal-data pattern in 1,821 sampled values.
raw_property_claimsraw_property_claimscauseNo personal-data pattern in 1,821 sampled values.
raw_property_claimsraw_property_claimsloss_dateNo personal-data pattern in 1,821 sampled values.
raw_property_claimsraw_property_claimsreport_dateNo personal-data pattern in 1,821 sampled values.
raw_property_claimsraw_property_claimsstatusNo personal-data pattern in 1,821 sampled values.
raw_property_insurersraw_property_insurersmarket_shareNo personal-data pattern in 25 sampled values.
raw_property_policiesraw_property_policieslineNo personal-data pattern in 2,000 sampled values.
raw_property_policiesraw_property_policiesproperty_typeNo personal-data pattern in 2,000 sampled values.
raw_property_policiesraw_property_policiesoccupancyNo personal-data pattern in 2,000 sampled values.
raw_property_policiesraw_property_policiesbusiness_typeNo personal-data pattern in 2,000 sampled values.
raw_property_policiesraw_property_policiesbusiness_nameNo personal-data pattern in 1,047 sampled values.
raw_property_policiesraw_property_policiesdistrict_codeNo personal-data pattern in 2,000 sampled values.
raw_property_policiesraw_property_policiesstate_codeNo personal-data pattern in 2,000 sampled values.
raw_property_policiesraw_property_policieslatNo personal-data pattern in 2,000 sampled values.
raw_property_policiesraw_property_policieslonNo personal-data pattern in 2,000 sampled values.
raw_property_policiesraw_property_policiessum_insuredNo personal-data pattern in 2,000 sampled values.
raw_property_policiesraw_property_policiesstart_dateNo personal-data pattern in 2,000 sampled values.
raw_property_policiesraw_property_policiesend_dateNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policiescycleNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policiesissue_dateNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policiesstart_dateNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policiesend_dateNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policiescover_typeNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policiesvehicle_classNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policiesvehicle_ageNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policieschannelNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policiesrto_codeNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policiesstate_codeNo personal-data pattern in 2,000 sampled values.
Opening policy bookraw_repository_policiesprior_lapse_countNo personal-data pattern in 2,000 sampled values.
RTO listraw_rtosrto_codeNo personal-data pattern in 261 sampled values.
RTO listraw_rtosstate_codeNo personal-data pattern in 261 sampled values.
RTO listraw_rtosurban_flagNo personal-data pattern in 261 sampled values.
RTO listraw_rtosrto_labelNo personal-data pattern in 261 sampled values.
Sample designraw_sample_designsampling_weightNumeric or date column. Personal-data patterns apply to text values.
Sample designraw_sample_designas_atNo personal-data pattern in 1 sampled value.
Sample designraw_sample_designmethodNo personal-data pattern in 1 sampled value.
What each insurer said it sentraw_submissionscycleNo personal-data pattern in 1,200 sampled values.
What each insurer said it sentraw_submissionsfile_typeNo personal-data pattern in 1,200 sampled values.
What each insurer said it sentraw_submissionsfile_nameNo personal-data pattern in 1,200 sampled values.
What each insurer said it sentraw_submissionsreceived_dateNo personal-data pattern in 1,200 sampled values.
What each insurer said it sentraw_submissionsdue_dateNo personal-data pattern in 1,200 sampled values.
What each insurer said it sentraw_submissionsrow_countNo personal-data pattern in 1,200 sampled values.
What each insurer said it sentraw_submissionssha256No personal-data pattern in 1,200 sampled values.

How personal data is hidden

Personal dataWhat is keptExample
NameFirst letter onlyA***
Mobile numberLast 2 digits only******42
EmailDomain only***@gmail.com
Date of birthYear only1984
Registration numberState code onlyTS******
Chassis numberLast 4 characters only****7K2Q
Engine numberLast 4 characters only****3H91
PIN codeFirst 3 digits only500***

Hidden each time a result is shown or sent to the AI. The files as received are not changed.

What each role sees

RoleWhat this role seesInsurersRecords
Leadership (your role) State totals. Insurers as code names. No individual records.Code namesTotals only
Motor Vertical Head Motor detail down to each RTO. Insurers as code names.Code namesTotals only
Health Vertical Head Health detail down to each hospital and district. Insurers as code names.Code namesTotals only
Life Vertical Head Life detail down to each district, channel and agent. Insurers as code names.Code namesTotals only
Other Lines Vertical Head Fire and property detail down to each district. Insurers as code names.Code namesTotals only
Data Operations Insurer names and file detail. Personal data always hidden.NamesIndividual records, personal data hidden
Analyst Totals only. Counts under 10 hidden.Code namesTotals only

Code letters stay the same on every page, so figures can be compared over time.

Same question, every role

Each question was asked once as every role, so the answers sit side by side without switching roles. All three cover claims reported from October 2025 to September 2026. Your role's column is highlighted.

QuestionLeadership (your role)Vertical HeadsData OperationsAnalyst
Names and mobile numbers of policyholders with theft claims in Hyderabad Refused
Individual records are for Data Operations only.
Blocked before it ran. No rows were read.
Refused
Individual records are for Data Operations only.
Blocked before it ran. No rows were read.
Answered
Records with name and mobile number hidden.
Details hidden from your role.
Refused
Individual records are for Data Operations only.
Blocked before it ran. No rows were read.
Theft claims by RTO (Regional Transport Office) in Telangana Refused
This role sees state totals only.
Blocked before it ran. No rows were read.
Answered
Exact counts.
Details hidden from your role.
Answered
Exact counts.
Details hidden from your role.
Answered
Counts under 10 hidden.
Details hidden from your role.
Theft claims by state Answered
Counts for the 31 states with theft claims.
Maharashtra: 258West Bengal: 9
Answered
Counts for the 31 states with theft claims.
Maharashtra: 258West Bengal: 9
Answered
Counts for the 31 states with theft claims.
Maharashtra: 258West Bengal: 9
Answered
11 of 31 states shown as <10.
Maharashtra: 258West Bengal: <10
  • A refused question is stopped by a fixed access rule before its query runs, so no rows are read. Every answer and every refusal is written to the audit log.
  • Data Operations sees individual records to check a claim with the insurer. The claim number is the link. Name and mobile number stay hidden.
  • For the Analyst, counts under 10 are hidden so a small count cannot point to one person. Counts of 10 or more show in full.
  • Figures and sample values from other roles show only where your own role may see them.
Show the queries

Names and mobile numbers of policyholders with theft claims in Hyderabad Query ID b420 6bb6 b6bb 8102

SELECT claim_no, rto_code, report_date, holder_name, holder_mobile
FROM srv_theft_claim_holders
WHERE rto_code IN ('TS09', 'TS10', 'TS11', 'TS12', 'TS13')
  AND report_date BETWEEN DATE '2025-10-01' AND DATE '2026-09-30'
ORDER BY report_date DESC, claim_no

Theft claims by RTO (Regional Transport Office) in Telangana Query ID 30e3 c307 d3b8 0b60

SELECT rto_code, CAST(SUM(claims) AS BIGINT) AS theft_claims
FROM srv_claims_weekly
WHERE state_code = 'TS' AND claim_type = 'THEFT' AND cycle BETWEEN '2025-10' AND '2026-09'
GROUP BY rto_code
ORDER BY theft_claims DESC, rto_code

Theft claims by state Query ID 371c 7b76 2491 d8a9

SELECT state_name, CAST(SUM(claims) AS BIGINT) AS theft_claims
FROM srv_claims_weekly
WHERE claim_type = 'THEFT' AND cycle BETWEEN '2025-10' AND '2026-09'
GROUP BY state_name
ORDER BY theft_claims DESC, state_name

Audit log

Each question asked of the data is logged with the time, role and page. Mobile, email, registration and chassis numbers typed into a question are removed before it is stored. Showing the latest 15 of 199.

The role checks above just ran and added 12 entries to the log, one per question and role. They show here from your next visit. The checks run again only when the app restarts or the data changes.

TimeRolePageQuestionRowsOutcome
9 Oct 2026, 17:43LeadershipUninsured vehicles Uninsured gap for 2WQuery ID 4565 1b59 2660 e98c 36Answered
9 Oct 2026, 17:43LeadershipUninsured vehicles Expected lapses in the next 60 days by state 12Answered
9 Oct 2026, 17:43LeadershipWeekly briefing Weekly briefing, week ending 4 October 2026Query ID a88f 4c87 1baa 2cca 5Answered
9 Oct 2026, 17:43LeadershipOverview OverviewQuery ID 91f9 f8a8 677d 13f2 36Answered
9 Oct 2026, 17:43LeadershipInsurer file checks Insurer file checks for September 2026Query ID 0f2c c682 5cf5 23e1 3Answered
9 Oct 2026, 17:42LeadershipFiles in Files received and their checksQuery ID 52b0 47da 391b 6d73 0Answered
9 Oct 2026, 17:41LeadershipOverview OverviewQuery ID 91f9 f8a8 677d 13f2 36Answered
9 Oct 2026, 17:37LeadershipOverview OverviewQuery ID 91f9 f8a8 677d 13f2 36Answered
9 Oct 2026, 17:36LeadershipOverview OverviewQuery ID 91f9 f8a8 677d 13f2 36Answered
9 Oct 2026, 17:32LeadershipOverview OverviewQuery ID 91f9 f8a8 677d 13f2 36Answered
9 Oct 2026, 17:30LeadershipOverview OverviewQuery ID 91f9 f8a8 677d 13f2 36Answered
9 Oct 2026, 17:30LeadershipOverview OverviewQuery ID 91f9 f8a8 677d 13f2 36Answered
9 Oct 2026, 17:29LeadershipOverview OverviewQuery ID 91f9 f8a8 677d 13f2 36Answered
9 Oct 2026, 17:29LeadershipOverview OverviewQuery ID 91f9 f8a8 677d 13f2 36Answered
9 Oct 2026, 17:29LeadershipOverview OverviewQuery ID 91f9 f8a8 677d 13f2 36Answered