Why is deepfake detection important for KYC?

Synthetic identities and AI-generated selfies can defeat document and liveness checks that were designed before generative AI. Adding an AI-image detection step flags likely-synthetic ID photos and selfies before an account is opened, reducing onboarding fraud.

How do I integrate AI image detection into onboarding?

Call a detection API on the uploaded ID and selfie images during onboarding, read the returned AI-probability score, and route high-risk cases to manual review. DEEF.AI exposes a simple POST /v1/detect endpoint authenticated with a license key, billed pay-per-use.

← Blog · DEEF.AI · 27 June 2026

How to add deepfake detection to your KYC flow

Document and liveness checks were designed before generative AI. Today, AI-generated selfies and synthetic ID images can slip through. Adding an AI-image detection step to onboarding catches likely-synthetic media before an account opens.

Where it fits in onboarding

User uploads ID document + selfie.
Your existing OCR / liveness / face-match runs.
New step: send the ID image and selfie to an AI-image detector; get an AI-probability score per image.
Route by risk: low → auto-approve; elevated → manual review or step-up verification.

Example: one API call

DEEF.AI exposes a simple endpoint authenticated by a license key (pay-per-use credits). Send the raw image bytes:

curl -X POST https://api.deef.ai/v1/detect \
  -H "Authorization: Bearer $DEEF_KEY" \
  --data-binary @selfie.jpg
# → {"verdict":"ai_generated","risk":0.94,"remaining":299}

Read risk (0–1) and set a threshold that matches your risk appetite. The full spec is at /openapi.json; the API catalog is at /.well-known/api-catalog.

Get API credits → Pay-per-use from $1, no subscription, no procurement. Test free in-browser first, then drop the API into your onboarding in an afternoon.

Design tips

Score, don't block outright. Use the probability to route to review — detectors aren't 100% accurate.
Check both ID and selfie. Fraud often targets whichever you don't check.
Keep an evidence trail. Store the verdict and (for disputes) the SHA-256-fingerprinted report.
Privacy. Only the deep-scan API uploads bytes for inference; images aren't retained after the result.

FAQ

Why does KYC need AI-image detection?

Synthetic IDs and AI selfies can defeat pre-genAI checks; detection flags them before onboarding completes.

How hard is integration?

One POST per image, authenticated with a license key. Read the risk score and route accordingly.

DEEF.AI provides screening-grade decision support. No detector is 100% accurate; use scores as one signal in your KYC risk model.

← 博客 · DEEF.AI · 2026 年 6 月 27 日

KYC 流程如何接入 deepfake / AI 图像检测

证件与活体检测是在生成式 AI 之前设计的。如今 AI 生成的自拍和合成证件图可能蒙混过关。在开户流程里加一步 AI 图像检测，能在开户前拦下大概率合成的素材。

它在开户流程中的位置

用户上传证件 + 自拍。
你现有的 OCR / 活体 / 人脸比对照常运行。
新增一步：把证件图和自拍发给 AI 图像检测器，得到每张图的 AI 概率分。
按风险分流：低 → 自动通过；偏高 → 人工复核或加强验证。

示例：一次 API 调用

DEEF.AI 提供一个用卡密鉴权的简单端点（按次 credits）。直接发原始图像字节：

curl -X POST https://api.deef.ai/v1/detect \
  -H "Authorization: Bearer $DEEF_KEY" \
  --data-binary @selfie.jpg
# → {"verdict":"ai_generated","risk":0.94,"remaining":299}

读取 risk（0–1），设一个匹配你风险偏好的阈值。完整规范见 /openapi.json，API 目录见 /.well-known/api-catalog。

获取 API 次数 → 按次 $1 起，无订阅、无采购流程。先在浏览器内免费试，再用一个下午把 API 接进开户流程。

设计建议

用分数分流，别直接拦死。用概率路由到复核——检测器并非 100% 准确。
证件和自拍都查。欺诈往往挑你没查的那张下手。
留证据链。保存判定结果，争议时保留含 SHA-256 指纹的报告。
隐私。只有深扫 API 会上传字节做推理；返回结果后不保留图像。

常见问题

KYC 为什么需要 AI 图像检测？

合成证件与 AI 自拍能骗过生成式 AI 之前的检查；检测能在开户完成前标记它们。

集成难吗？

每张图一次 POST，用卡密鉴权。读风险分并据此分流即可。

DEEF.AI 提供初筛级决策辅助。没有任何检测器能做到 100% 准确；请把分数作为 KYC 风险模型里的一个信号。