SCAMMERS GET A NEW ENEMY: AI BOTS TURN THE TABLES ON GLOBAL FRAUD NETWORKS

The fight against financial fraud is entering a new phase as Apate.AI raises US$8.15 million to deploy artificial intelligence agents directly inside scam operations, turning the technology used by fraudsters against them.

The Sydney founded fraud counter intelligence company closed an oversubscribed seed round led by Lobby Capital, with participation from OIF Ventures, Investible, Concept Ventures and Baobab Ventures. The funding comes as Apate prepares to scale its technology across North America and Europe after reincorporating in the United States as a Delaware corporation on 25 August 2026.

Apate’s model represents a significant departure from conventional fraud prevention. Instead of waiting for suspicious transactions, phishing campaigns or scam calls to trigger alerts, the company’s AI agents enter the conversations themselves.

Its voice and text agents are designed to behave like potential victims, keeping fraudsters engaged for extended periods while extracting intelligence about their operations. Some interactions can continue for up to two hours. The intelligence can include phishing links, impersonation techniques, mule bank accounts and cryptocurrency wallets connected to criminal activity.

The company says its platform has already conducted more than 2.5 million autonomous conversations with threat actors, generating more than 250,000 intelligence artefacts that have been fed into customer disruption operations. Commonwealth Bank of Australia is among the institutions that have deployed the technology.

That makes the technology particularly relevant to banks, telecommunications companies and government agencies facing increasingly industrialised fraud networks. The company’s stated premise is that conventional detection systems remain largely defensive, identifying suspicious activity after criminals have already initiated an attack or after victims have been exposed.

Apate is attempting to change that equation by creating friction inside the criminal business model. Every minute a scammer spends engaging an AI agent is time not spent pursuing a genuine victim. Every piece of intelligence extracted can potentially improve fraud detection, account blocking, investigation and network disruption.

The timing is significant. Apate cites global scam losses of US$1.03 trillion, while research published in August 2026 also demonstrates how AI driven voice agents can be used to systematically study scam calls at scale.

For compliance teams, the emerging lesson is broader than the technology itself. Fraud prevention is increasingly shifting from a passive control function towards an intelligence operation capable of identifying criminal infrastructure before losses occur.

The regulatory and operational challenge will be ensuring that this new generation of adversarial AI remains subject to strong governance, data protection, evidence handling and human oversight.

The next generation of fraud controls may not simply detect the scammer. They may answer the phone, keep the scammer talking and turn the conversation into evidence.

Compliance takeaway: The Apate model points towards a potentially important evolution in fraud controls. Instead of relying exclusively on transaction monitoring and post incident investigation, institutions could increasingly use controlled AI interactions to gather intelligence on criminal networks before victims lose money. That creates opportunities for earlier intervention, but also raises governance questions around data collection, privacy, evidence integrity, model oversight and the boundaries of automated engagement with suspected criminals.