Incode published its Agentic Fraud Report, whose incident database tracks 66 independently sourced AI-fraud cases in the US, with 44 confirmed.
How AI agents are fueling a record surge in fraud losses ↗
What happened
- Reported losses across the catalogued cases approach 900 million dollars.
- The report projects that if attackers multiply automatable work by 10x, US fraud losses could reach 155.3 billion dollars from a 2025 base of 20.4 billion dollars.
- Incode's CEO Ricardo Amper states that fraud was previously capped by how many skilled people a criminal operation could hire.
Why it matters to Signicat
- The article is a thought-leadership and marketing piece that uses the report to position identity verification as the checkpoint against agentic fraud, which overlaps Signicat's fraud and IDV messaging.
- The 155.3B projection rests on a vendor-built 10x multiplier assumption and should be attributed to Incode, not treated as established.
Evidence from the source (5 quotes)
- “Reported losses across those catalogued cases approach 900 million dollars” source ↗
- “If attackers multiply their already-automatable work by 10x, a plausible near-term scenario given how fast agent capability is improving, that figure could reach 155.3 billion dollars.” source ↗
- “For all of history, fraud was capped by how many skilled people a criminal operation could hire. That cap is gone.” source ↗
- “That mismatch is exactly why identity verification becomes essential in an agentic world.” source ↗
- “If attackers multiply their already-automatable work by 10x” source ↗
Fraud deepfake injectionAgentic AI identityDocument IDV biometricsThought leadershipResearch reportGlobal
4 of 4 facts verified against the source · confidence medium · claude-haiku-5-5