Kamata udanganyifu wa madai kwa ishara tano za udanganyifu. Mtiririko mmoja wa kazi kwenye taarifa ya kwanza ya hasara.
Thibitisha kuwa mdai ndiye mwenye sera, zuia ushahidi wa video wa deepfake, gundua nyaraka ghushi, chunguza dhidi ya orodha za vikwazo, tafuta vikundi vya majeraha vilivyopangwa — katika kipindi kimoja cha /v3/. $0.53 kwa dai, 500 bure kila mwezi.
Wadai hewa. Ripoti zilizopangwa. Ushahidi wa video ya "deepfake".
Muungano Dhidi ya Udanganyifu wa Bima unakadiria kuwa wabebaji wa Marekani hupoteza takriban dola bilioni 308
kwa mwaka. Mengi ya hayo hutokana na madai yasiyo na ukaguzi wa utambulisho wa
mdai na hakuna uchunguzi wa ushahidi. Didit huziba mapengo yote mawili katika
mfumo mmoja wa kazi — $0.53 kwa dai, 500 bila malipo kila mwezi.
Jinsi inavyofanya kazi
Kutoka kujisajili hadi mtumiaji aliyethibitishwa kwa hatua nne.
Hatua 01
Unda mtiririko wa kazi
Chagua ukaguzi unaotaka — Kitambulisho, uhai, kulinganisha uso, vikwazo, anwani, umri, simu, barua pepe, maswali maalum. Ziburute kwenye mtiririko katika dashibodi, au chapisha mtiririko huo huo kwenye API yetu. Tawi kwenye masharti, fanya majaribio ya A/B, hakuna msimbo unaohitajika.
Hatua 02
Unganisha
Pachika asilia na Web, iOS, Android, React Native, au Flutter SDK yetu. Elekeza kwenye ukurasa uliopangishwa. Au tuma tu mtumiaji wako kiungo — kwa barua pepe, SMS, WhatsApp, popote. Chagua kinachofaa mfumo wako.
Hatua 03
Mtumiaji anapitia mtiririko
Didit huandaa kamera, vidokezo vya mwanga, uhamishaji wa simu, na ufikiaji. Wakati mtumiaji yuko kwenye mtiririko, tunapata alama za ishara za udanganyifu 200+ kwa wakati halisi na kuthibitisha kila sehemu dhidi ya vyanzo vya data vya mamlaka. Matokeo chini ya sekunde mbili.
Hatua 04
Unapokea matokeo
Webhooks zilizotiwa saini za wakati halisi huweka hifadhidata yako ikiwa sawa mara tu mtumiaji anapoidhinishwa, kukataliwa, au kutumwa kwa ukaguzi. Piga API inapohitajika. Au fungua koni kukagua kila kipindi, kila ishara, na kudhibiti kesi kwa njia yako.
Imejengwa kwa madai · Bei kama miundombinu
Ishara tano za udanganyifu. Mtiririko mmoja wa kazi. $0.53 kwa kila dai.
Udanganyifu wa madai ni mchanganyiko — utambulisho wa mdai, uchunguzi wa hati, ulinzi wa deepfake, ukaguzi wa vikwazo, utafutaji wa madai mtambuka. Washa kila moduli kwa kila aina ya biashara katika Mjenzi wa Mtiririko wa Kazi.
Mifumo ambayo timu ya udanganyifu huona kila siku.
Madai ya upotevu wa magari ambapo uharibifu ulitangulia sera. Madai ya mizimu ambapo mdai si mmiliki wa sera. Ushahidi wa video bandia (deepfake). Ripoti za polisi za kiolezo zilizotumiwa tena na sehemu zilizohaririwa. Ankara za Biashara Zilizovurugika (BI) zilizopandishwa bei. Vikundi vilivyopangwa vya majeraha vinavyowasilisha hasara sawa kwa wabebaji. Mtiririko wa kazi wa Mjenzi wa Mtiririko wa Kazi huonyesha kila lahaja.
Mifumo ambayo timu ya udanganyifu huona kila siku.
Motor · hasara iliyopangwaUharibifu ulitangulia sera
Madai ya mzimuMdai ≠ mwenye sera
Ushahidi wa video ya DeepfakeJeraha / eneo lililotengenezwa
Ripoti ya polisi ya kiolezoPDF sawa, sehemu zilizohaririwa
Mfumuko wa BIAnkara zilizohaririwa
Pete ya majeraha iliyopangwaBinadamu yule yule, madai mengi
Onyesha kila muundo mara tu upotevu unapotambuliwa.
02 · KYC ya Mdai
Mdai ndiye mmiliki wa sera.
Simu moja ya /v3/session/ hunasa Uthibitishaji wa Kitambulisho ($0.15), Uhai Usio na Nguvu ($0.10), na Kulinganisha Uso 1:1 dhidi ya picha ya mmiliki wa sera kwenye faili ($0.05). Kifurushi kinauzwa kwa $0.33. iBeta Level 1 PAD imethibitishwa, uamuzi wa chini ya sekunde mbili kwenye Android ya kiwango cha kuingia. Hunasa kila jaribio la madai ya mizimu ambapo mdai si mmiliki wa sera.
iBeta Level 1 PAD · chini ya sekunde 2Kifurushi cha $0.33
03 · Uchunguzi wa hati
Udanganyifu. Kiolezo. Metadata. Zote zimekaguliwa.
Utambuzi wa Tabia za Macho ya Hati (OCR) hutoa kila sehemu kutoka kwa ushahidi unaounga mkono — ripoti za polisi, nukuu za ukarabati, ankara za matibabu, picha za hasara. Utambuzi wa udanganyifu wa kiwango cha pikseli huashiria maeneo yaliyohaririwa, kulinganisha violezo hunasa mifupa ya PDF iliyotumiwa tena, ukaguzi wa metadata ya EXIF hunasa tarehe zisizolingana na tukio la hasara. Alama ya juu ya udanganyifu = badilisha kuwa Katika Ukaguzi kiotomatiki.
Eneo lililohaririwa · kiwango cha pikseliSehemu ya kiasiZuia
Kigezo cha mifupa kilichotumika tenaMadai 3 ya awaliZuia
Tarehe ya EXIF hailinganiPicha · 2024-09Kagua
Ubadilishaji wa fonti umegunduliwaTimes / ArialKagua
Asili safi—Pitisha
OCR ya kiwango cha uga pamoja na alama ya uharibifu ya kiwango cha pikseli.
04 · Ulinzi wa Deepfake
Deepfakes hazipiti Passive Liveness.
iBeta Level 1 Presentation Attack Detection (PAD) imethibitishwa dhidi ya orodha kamili ya ISO/IEC 30107-3. Huziba deepfakes zinazozalishwa na AI za mmiliki wa sera, barakoa za silikoni au mpira, marudio ya skrini ya selfie ya awali, na picha zilizochapishwa. Mfumo hujaribiwa tena katika iBeta kila mwaka kadri vigezo vipya vya mashambulizi vinavyoonekana.
Picha iliyochapishwa · leseni ya kuendesha gari86Zuia
Mdai halisi · yupo6Pitisha
Hujaribiwa tena iBeta kila mwaka kadri mashambulizi mapya yanavyoonekana.
05 · Vikwazo + utafutaji wa madai mtambuka
Vikwazo vilivyopigwa + utambuzi wa pete iliyopangwa.
Uchunguzi wa AML ($0.20 kwa kila ukaguzi) humgonga kila mdai dhidi ya vikwazo 1,300+, Watu Waliofichuliwa Kisiasa (PEP), na orodha za vyombo vya habari vibaya katika lugha 14, zikiboreshwa kila siku. Utafutaji wa Uso 1:N (bila malipo kwa kila utafutaji) hulinganisha selfie ya mdai dhidi ya ghala lako la wadai wa awali — vikundi vilivyopangwa vya majeraha huonekana kama makundi ya kulinganisha kwa kufanana sana katika kwingineko.
Uchunguzi wa vikwazo + utafutaji wa uso wa madai ya awali.
Orodha 1,300+
Uchunguzi wa AML
Orodha ya OFAC SDNHakuna kilichopatikana
EU iliyounganishwaHakuna kilichopatikana
Hifadhidata ya PEPKagua
Vyombo vya habari hasiPita
Utafutaji wa Uso · wadai wa awali
dai-7710 · magari0.94
dai-6128 · afya0.92
dai-5404 · usafiri0.88
Kundi la 3
AML $0.20 · Utafutaji wa Uso bila malipo kwa kila utafutajiKote kwenye kwingineko
06 · Uamuzi wa Webhook + kifurushi cha ukaguzi
Uamuzi uliotiwa saini. Ishara za kila moduli. Kifurushi cha ukaguzi.
Webhook iliyotiwa saini inatua na Imeidhinishwa, Katika Ukaguzi, au Imekataliwa pamoja na ishara za kila moduli — kufanana kwa uso, orodha ya AML, orodha ya kulinganisha utafutaji wa uso. Thibitisha X-Signature-V2 na Hash-based Message Authentication Code (HMAC) SHA-256. Mzigo wa uamuzi ni kifurushi cha ukaguzi — vuta toleo kamili wakati wowote kupitia GET /v3/session/[id]/decision/.
Inakaguliwapeleka kwa Kitengo Maalum cha Uchunguzi
Imekataliwakataa + fungua faili · arifa ya SIU
Thibitisha saini KABLA ya kusoma maudhui.
Unganisha
Kipindi kimoja. Uamuzi mmoja uliotiwa saini. Ishara tano za udanganyifu.
Fungua kipindi cha dai dhidi ya mtiririko wa kazi wa kifurushi. Soma uamuzi uliotiwa saini. Ishara za kila moduli + orodha ya kulinganisha ziko pale pale kwenye mzigo.
Thibitisha X-Signature-V2 kabla ya kusoma "payload".nyaraka →
Ujumuishaji tayari kwa wakala
Tuma ulinzi wa udanganyifu wa madai kwa haraka moja.
Bandika kwenye Claude Code, Cursor, Codex, Devin, Aider, au Replit Agent. Jaza stack yako. Wakala huunganisha mtiririko wa kazi, hufungua kikao, husoma ishara za kila moduli, huelekeza madai ya "In Review" kwa Kitengo chako cha Uchunguzi Maalum.
didit-integration-prompt.md
You are integrating Didit into an insurance carrier's claim workflow at first notice of loss (motor, health, property, travel, business interruption). Goal: catch ghost claims, deepfake video evidence, forged supporting documents, sanctions hits on the claimant, and organised-injury rings before the payout enters the queue. One API call. One signed webhook. Five fraud signals.
WHY THIS SHAPE
- The Coalition Against Insurance Fraud estimates fraud costs the US industry around $308 billion / year (2022 figures). Most of that walks in through claims with no identity check on the claimant and no document forensics on the evidence.
- Five signals settle the question on most claims: (1) the claimant is the policyholder, (2) the claimant is alive and present (not a deepfake), (3) the supporting documents are not tampered or templated, (4) the claimant is not on a sanctions list, (5) the claimant has not already filed N near-identical claims across your portfolio.
- One Didit /v3/session/ call bundles all five. $0.33 KYC + $0.20 AML = $0.53 per claim. Face Search 1:N is free per search. 500 verifications free every month.
PRE-REQUISITES
- Production API key from https://business.didit.me (sandbox key in 60 seconds, no credit card).
- A webhook endpoint with HMAC SHA-256 verification of the X-Signature-V2 header using your webhook secret.
- A Workflow Builder workflow bundling ID Verification + Passive Liveness + Face Match 1:1 (with the policyholder portrait as comparison target) + AML Screening + Face Search 1:N (gallery scoped to prior claimants on your account).
- Reference to the policy ID and policyholder portrait on file from your Policy Administration System (PAS) — passed as metadata on the session.
STEP 1 — Open the claim-verification session
POST https://verification.didit.me/v3/session/
Headers:
x-api-key: <your api key>
Content-Type: application/json
Body:
{
"workflow_id": "<wf id bundling ID + Liveness + Face Match + AML + Face Search 1:N>",
"vendor_data": "<your claim id, max 256 chars>",
"callback": "https://<your-app>/claims/verify/callback",
"metadata": {
"policy_id": "<your policy id>",
"line_of_business": "motor",
"loss_date": "2026-04-12"
}
}
Response: 201 Created with a hosted session URL. Send it to the claimant by email / Short Message Service (SMS) / inside the claims app. The claim stays in HOLD on your side until the signed webhook lands.
STEP 2 — Read the signed webhook
Didit POSTs the verdict. Verify X-Signature-V2 (HMAC SHA-256 of the raw body) BEFORE reading the JSON.
Payload (excerpted):
{
"session_id": "<uuid>",
"vendor_data": "<your claim id>",
"status": "In Review",
"id_verification": { "status": "Approved" },
"liveness": { "status": "Approved" },
"face": { "status": "Approved", "similarity_score": 0.92 },
"aml": { "status": "In Review", "hits": [{ "list": "PEP" }] },
"face_search": {
"matches": [
{ "session_id": "claim-7710", "similarity": 0.94, "vendor_data": "claim-7710" }
]
}
}
Session status enum (exact case, Title Case With Spaces): Approved | Declined | In Review | Resubmitted | Expired | Not Finished | Kyc Expired | Abandoned.
STEP 3 — Branch on the verdict
Approved → release the claim into the standard payout queue.
In Review → route to the Special Investigations Unit (SIU) with the per-module signals + face-search match list as the case file.
Declined → decline + open file. Block the payout. The decision payload is the audit pack.
Not Finished → resend the session link.
STEP 4 — Document forensics on supporting evidence (separate sub-flow)
For each supporting PDF / image uploaded (police report, repair quote, medical invoice, photo of loss), run Didit Document Optical Character Recognition (OCR). The OCR response surfaces:
- Field-level extracted text (claim amount, names, dates)
- Tamper score per region (pixel-level edits)
- Template match against prior submissions (reused PDF skeleton)
- EXIF / metadata mismatch (date in photo vs date of loss)
A high tamper score or a template match against a prior claim flips the case status to In Review.
STEP 5 — Pull the full decision for the case file
GET https://verification.didit.me/v3/session/{session_id}/decision/
Headers:
x-api-key: <your api key>
Returns the full decision payload — per-module signals, raw face-similarity scores, AML hit list with source list per match, face-search candidate list with scores. Use this as the audit pack for any dispute.
WEBHOOK EVENT NAMES
- Sessions: standard session webhook. One endpoint, status field tells you the lifecycle.
- Verify X-Signature-V2 (HMAC SHA-256) on every payload.
CONSTRAINTS
- Session statuses use Title Case With Spaces. Never UPPER_SNAKE_CASE — that's the Transactions API.
- The Face Match comparison target is the policyholder portrait from your Policy Administration System (PAS). A deepfake of the policyholder cannot pass when Passive Liveness is also in the workflow.
- Face Search 1:N gallery is scoped to YOUR account — Didit does not search across carriers. To collaborate across an industry pool, use a shared workflow_id pointing at a multi-carrier gallery you own.
- 200+ fraud signals are surfaced on every session at no extra cost — read them off the decision payload, don't re-query.
- Default retention is the standard 5-year insurance horizon; adjust per workflow if your jurisdiction differs.
Read the docs:
- https://docs.didit.me/sessions-api/create-session
- https://docs.didit.me/core-technology/face-match/overview
- https://docs.didit.me/core-technology/aml-screening/overview
- https://docs.didit.me/core-technology/face-search/overview
- https://docs.didit.me/integration/webhooks
Start free at https://business.didit.me — sandbox key in 60 seconds, 500 verifications free every month, no credit card.
Unahitaji maelezo zaidi? Tazama nyaraka kamili za moduli.docs.didit.me →
Inatii kwa muundo
Fungua nchi mpya kwa kubofya mara moja. Tunafanya kazi ngumu.
Tunafungua kampuni tanzu za ndani, tunapata leseni, tunafanya majaribio ya kupenya, tunapata vyeti, na tunalingana na kila kanuni mpya. Ili kusafirisha uthibitishaji katika nchi mpya, geuza swichi. Nchi 220+ zinafanya kazi, zinakaguliwa na kujaribiwa kila robo mwaka — mtoa huduma pekee wa utambulisho ambaye serikali ya nchi mwanachama wa EU imemwita rasmi kuwa salama zaidi kuliko uthibitishaji wa ana kwa ana.
Kwa kila dai lililochunguzwa kikamilifu — kifurushi cha KYC cha $0.33 + AML ya $0.20. Utafutaji wa uso ni bure kwa kila utafutaji.
0+
Vikwazo, Watu Walio Hatari Kisiasa (PEP), na orodha za vyombo vya habari hasi, zinasasishwa kila siku.
iBeta L1
Uhai Tulivu dhidi ya "deepfakes", barakoa, marudio. Inajaribiwa upya kila mwaka.
0
Uthibitishaji wa bure kila mwezi, kwenye kila akaunti.
Ngazi tatu, orodha moja ya bei
Anza bure. Lipa kwa matumizi. Panua hadi Biashara.
Uthibitishaji 500 bila malipo kila mwezi, milele. Lipa kadri unavyotumia kwa uzalishaji. Mikataba maalum, makazi ya data, na SLA (Mikataba ya Kiwango cha Huduma) kwenye Biashara.
Bure
Bure
$0 / mwezi. Hakuna kadi ya mkopo inayohitajika.
Kifurushi cha KYC cha bure (Uthibitishaji wa Kitambulisho + Uhai Usio na Kazi + Kulinganisha Uso + Uchambuzi wa Kifaa na IP) — 500 / mwezi, kila mwezi
Watumiaji Waliozuiliwa
Kugundua Marudio
Ishara 200+ za udanganyifu kwenye kila kipindi
KYC inayoweza kutumika tena kwenye mtandao wa Didit
Jukwaa la Usimamizi wa Kesi
Mjenzi wa Mtiririko wa Kazi
Hati za umma, sandbox, SDKs, seva ya MCP (Model Context Protocol)