Online (digital) fraud is any fraudulent activity carried out through digital channels (websites, mobile apps, and online payment systems) including account takeover, new-account and synthetic-identity fraud, payment fraud, and scams. It’s the umbrella term for the many ways criminals exploit digital services to steal money, data, or access.

As business has moved online, so has fraud. The same digital channels that let customers open accounts and transact in seconds let fraudsters attack at scale, automate their efforts, and operate from anywhere in the world.

The main types of digital fraud

• Account takeover (ATO): hijacking a legitimate customer’s account, often via stolen credentials.
• New-account and synthetic-identity fraud: opening accounts with stolen or fabricated identities.
• Payment and transaction fraud: unauthorized payments, card-not-present fraud, and authorized push payment (APP) scams.
• Scams and social engineering: manipulating the real customer into authorizing fraud themselves.
• Bot-driven abuse: automated attacks like credential stuffing, mass account creation, and promo abuse.

Why digital fraud is hard to stop

Several forces make digital fraud uniquely challenging. It’s automatable, so attackers operate at massive scale with bots and tooling. It’s anonymous and borderless, complicating attribution and enforcement. It’s fueled by an enormous supply of breached data, billions of leaked credentials and personal records. And increasingly it’s AI-powered, with generative AI producing convincing deepfakes, synthetic identities, and phishing at scale. The result is a fast-evolving threat that static, rules-only defenses struggle to keep up with.

Defending against digital fraud

Because digital fraud spans the whole lifecycle, effective defense does too: verify identity at onboarding, prevent takeover at authentication, monitor transactions in real time, and detect bots and automation throughout, all sharing signals so cross-channel and multi-stage fraud can’t slip through the seams. The direction of the industry is toward unified, AI-driven detection that adapts as fast as the attacks, rather than a patchwork of single-purpose tools each blind to what the others see.

The economics that drive digital fraud

Digital fraud persists because the economics favor the attacker. The raw materials are cheap and abundant: billions of breached credentials and personal records circulate for little or nothing, and criminal marketplaces sell ready-made tools, tutorials, and even fraud-as-a-service offerings. Automation means a single fraudster can attempt thousands of attacks for negligible cost, so even a low success rate turns a profit. And the borderless, pseudonymous nature of the internet keeps the risk of getting caught low. When the cost of attacking is near zero and the potential payoff is real money, volume does the rest, which is why defenders can’t win by making fraud impossible, only by making it uneconomical. Raising the attacker’s cost and effort (strong verification, phishing-resistant auth, bot detection) while lowering their success rate is the practical goal; removing the reusable secrets and stored data they feed on removes the fuel entirely.

Frequently asked questions

Why is digital fraud so profitable for criminals?

Breached data and attack tools are cheap and abundant, automation scales attacks at near-zero cost, and anonymity keeps enforcement risk low.

What is online fraud?

Any fraud carried out through digital channels, including account takeover, new-account fraud, payment fraud, and scams.

What are the most common types of digital fraud?

Account takeover, synthetic-identity and new-account fraud, payment fraud, scams, and bot-driven abuse.

Why is digital fraud growing?

It’s automatable, anonymous, borderless, fueled by breached data, and increasingly powered by AI.

Related: Account Takeover (ATO) · Synthetic Identity Fraud · Authorized Push Payment (APP) Fraud · Bot Attack · Fraud Detection · Scams / Social Engineering Scams