Identity and document checks sit at the heart of trust in modern business.
Whether a customer is opening a bank account, applying for credit, purchasing insurance, renting a property or accessing healthcare services, organisations increasingly rely on digital evidence to confirm who someone is and what they are entitled to do.
Fraudsters are using AI to falsify identity doucuments.
The challenge is that digital evidence is now easy to manipulate.
High quality editing tools and AI generated content have lowered the barrier to creating convincing but false documentation. This creates a growing risk across financial services, insurance, telecoms, marketplaces, recruitment and any process that depends on documents such as passports, driving licences, utility bills, bank statements, invoices, payslips, proof of address and supporting evidence for affordability and eligibility.
Industry reporting continues to show that false documentation remains a major driver of application fraud. Cifas has reported growth in false applications, with false documentation frequently cited as a key filing reason, including within banking and insurance sectors. For firms operating at scale, even a small increase in forged or manipulated submissions can translate into substantial financial exposure, operational burden and reputational damage.
These risks are not only about direct losses. When false identities enter a system, they create downstream harm including chargebacks, loan defaults, account takeover, policy abuse and organised fraud rings. Fraud is also strongly linked to online channels, which increases the importance of verifying evidence early in digital journeys. UK Finance highlights the scale and persistence of fraud losses and the role of online channels in how fraud is initiated.
A growing concern is synthetic identity. Rather than stealing a single person’s identity, fraudsters may combine real and fabricated information, then support it with manipulated documents and images. This can be harder to detect because elements of the identity can appear consistent across multiple checks. Risk teams increasingly treat identity fraud management as a core profitability and risk differentiator, particularly in sectors such as motor insurance where identity misuse and related fraud typologies can increase costs across the market.
AI also introduces new threats in the form of deepfakes and realistic synthetic media. Content can be created or altered to support fake applications, impersonation and document submission. Swiss Re has highlighted how deepfakes and AI amplified manipulation are contributing to fraud and can affect images, videos and documents used in claims and related processes. The implication for identity and document workflows is clear. If a document image or supporting evidence can be convincingly generated or altered, organisations need more than manual review to assess authenticity at speed.
Humanly’s Identity and Documents Fraud service is designed to add an additional layer of assurance to these workflows. It analyses submitted evidence to identify indicators of manipulation, editing and AI generation, supporting teams that need to make reliable decisions using digital documents and identity artifacts. It is particularly relevant for onboarding and KYC processes, customer due diligence, fraud investigations, disputes and audits where the integrity of evidence matters.
Humanly is a tool that complements existing identity verification, risk and fraud solutions. Many organisations already use layered checks from data providers, identity verification specialists and risk solutions partners. Humanly fits into that approach by helping to answer a simple question that is becoming harder to resolve, whether the evidence itself appears authentic.
As digital journeys become the default, and AI generated content becomes more accessible, document authenticity becomes a strategic requirement. Organisations that can verify evidence reliably will reduce avoidable losses, improve compliance outcomes and maintain trust with customers and regulators.
Key Features
Visa and immigration application integrity
Bank account and financial onboarding protection
Mortgage and lending fraud reduction
DBS and background check assurance
Public sector and government service verification
Synthetic identity and organised fraud disruption

Interested in discussing further? Chat with our enterprise team.
