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Signature Validation

Authenticate signatures using advanced AI.

Signature Validation BNR

Prevent frauds, make banking more secure

Signature Validation 2

Signature specimens are crucial for performing identity verification in many banking scenarios. Using AI, ML and computer vision, our system can verify handwritten signatures with great accuracy and reduce the risk of fraud. It compares the signature against pre-verified samples for real-time validation.

Our holistic view to challenges

Challenges

Signature fraud

Signature fraud

Forged signatures can lead to unauthorized transactions and financial loss for customers.

AI-driven authentication

AI-driven authentication

AI systems can prevent fraud by real-time detection of the slightest discrepancies in handwriting.

Ineffective manual verification

Ineffective manual verification

Manual verification process is slow, error-prone and requires significant human intervention.

Automated verification

Automated verification

AI-powered verification translates into instant verification which improves accuracy and reduces workload.

Features

Digitally altered signatures

Digitally altered signatures

Digital manipulations in signatures are very sophisticated and difficult to spot with human eyes.

Deep learning detection

Deep learning detection

AI algorithms analyze microscopic inconsistencies in signatures to detect digital alterations.

Signature change

Signature change

Generally, customers’ tenure with a bank is long term and signatures change over a period of time.

Adapted verification

Adapted verification

Our system uses an ML model which uses historical images to detect and adapt to natural variations.

AI-powered signature verification can reduce fraud losses by up to 80% by accurately detecting forged signatures.

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Who benefits from Signature Validation?

Signature validation is mostly required in the banking sector but plays a critical role in security and trust in other industries as well.

Signature Validation 3
  • Banks & financial institutions
  • Legal & notary services
  • Government agencies
  • Insurance companies

How it works?

process
Assessment & integration

Assessment & integration

We analyze the existing document verification processes to integrate AI-driven signature validation.

AI model training

AI model training

AI model is trained to recognize signature patterns, detect forgeries, and adapt to natural variations.

Seamless verification

Seamless verification

System validates signatures instantly, flag anomalies, and removes manual intervention.

Compliance alignment

Compliance alignment

Ensure compliance with financial regulations with ease by continuously improving accuracy.

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