Apate: fleet of undercover AI agents bait scammers for fraud intelligence

What changed: Australian startup Apate is running thousands of autonomous agents that pose as victims to engage scammers across calls, messages, email and web forums and then surface bank accounts, wallet addresses, malicious sites and other operational details for customers in telecom, banking and government.

Why it matters: If you run fraud, risk or CX for a customer-facing business, Apate’s approach turns proactive deception into repeatable data you can feed into blocks, alerts and model training—shortening detection time and giving incident responders earlier leads.

Try/watch: Pilot a staged program that channels Apate-style intelligence into your fraud playbook (blocklists, SIEM alerts, content takedown). Watch regulatory and privacy risk around fabricated identities and cross-border data sharing.

Floqer: continuous AI agents that keep CRM and prospect data fresh

What changed: Floqer unveiled an autonomous customer-knowledge product that runs agent fleets to discover, enrich and continuously update account and contact records from 100+ sources, and said it will open-source the underlying technology in early 2027 pending security reviews.

Why it matters: For growth and revenue teams, this converts manual prospecting and stale CRM data into an automated background process—cutting list-building time and reducing missed opportunities. Open-sourcing signals you could self-host or integrate the core agent logic rather than lock it inside a vendor UI.

Try/watch: Run a scoped pilot: feed agents a subset of target accounts, measure refresh rate and false positives, then connect outputs to workflow actions (sequences, SDR alerts). Monitor data-privacy and do an access review before any internal hosting.