Automation
Customise and automate our services to meet your compliance needs.
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Customise and automate our services to meet your compliance needs.
Last updated
Was this helpful?
ComplyCube provides the ability to customize check thresholds and settings. This allows you to automate your checks in line with your risk-based approach.
You can amend these automation rules through the .
To simplify usage, ComplyCube represents the outcome of the analysis in the form of a match score. A match score can range from 0 to 100, with 100 being the best match.
By default, an AML Screening Check will only return matches with a match score over 85 and automatically reject matches with a score ranging between 85 and 90. Ultimately, only matches with scores higher than 90 will require manual checks.
You can adjust these automation thresholds according to your risk-based framework and internal process.
By default, ComplyCube will not exclude any matches. We will return matches without a DOB, gender, nationality, or incorporation country details. Furthermore, ComplyCube will also return inactive, deceased, and low-quality alias matches.
Depending on your risk tolerance and preference, you can select from two distinct name-matching techniques:
Fuzzy (default): applies various linguistic, phonetic, and near-match techniques on names to find matches.
Precise: only matches names that are exact
This setting empowers age verification compliance by allowing you to set a minimum acceptable age before your client ID is flagged.
By default, a Document Check will flag anyone younger than 18 years of age.
ComplyCube returns a security element match score for each analyzed security element present on a document. A match score can range from 0 to 100; the closer the score is to 100, the greater the confidence that the security element is authentic.
By default, a Document check will deem a security element real when the match score is over 65.
ComplyCube performs inflight quality checks on document images uploaded via the Web and Mobile SDKs. This setting configures the maximum number of times our quality checks are performed before sending a document for full processing, regardless of its quality.
By default, a document's quality will be checked up to 5 times on upload before it's sent for complete processing.
ComplyCube extends further optional checks, including:
Client data validation: this check compares the client record data (e.g., first and last names) with data extracted from an ID document.
Document model validation: this check considers the visual consistency, at a pixel level, of a single or two-sided document.
By default, ComplyCube will only perform document model validation.
ComplyCube represents the outcome of a facial analysis in the form of a facial similarity score. A facial similarity score can range from 0 to 100, with 100 being an exact match.
By default, an Identity check will deem two faces a match when the facial similarity score is over 80.
ComplyCube returns a liveness score, representing the outcome of a liveness analysis. A liveness score can range from 0 - 100; the closer the score is to 100, the greater the confidence that your client is a real person.
By default, an Identity check will deem a client real when the liveness score is over 50.
ComplyCube returns a previously enrolled face indicator, asserting whether a face was registered as a different client.
By default, an Identity check will deem a face previously enrolled when registered more than once.
By default, a Proof of Address check will automatically flag documents older than 3 months. You can adjust the threshold to be between 1 to 12 months.
This setting empowers age estimation compliance by allowing you to set a minimum acceptable age before your client is flagged.
By default, an Age Estimation check will flag anyone younger than 18 years of age.
ComplyCube'smatching engine is purpose-built to find and match comparable identity data from any language or script. It incorporates sophisticated fuzzy matching algorithms, heuristics, linguistic variance, and phonetic analysis to find matches without producing costly and time-wasting lists of false positives.
ComplyCube's uses OCR technology and advanced analytics to authenticate and extract data from your clients' ID documents.
ComplyCube's utilizes computer vision, liveness, spoof-detection technologies, and facial comparison algorithms to determine whether two faces belong to the same client.
ComplyCube's aims to establish the issuing date of an eligible document using OCR. If a document is older than a specified threshold (e.g., 3 months), the document age analysis will be flagged for the check.
ComplyCube's uses facial recognition and liveness detection technology to estimate the age of your clients.
