Scams are a global epidemic costing businesses and consumers trillions. Apate AI turns the tables on fraudsters by deploying lifelike conversational AI agents, powered by Amazon Bedrock and speech models on Amazon SageMaker bidirectional streaming, that engage scammers in real time to detect, divert, disrupt, and decode their tactics. In this session, learn how Apate AI converts every scam interaction into actionable intelligence and how to build your own voice AI agents on AWS.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Lifelike conversational AI agents that engage scammers in real-time on Bedrock + SageMaker bidirectional streaming. Detect, divert, disrupt, decode tactics. Convert each interaction into intelligence.
Why it matters
Defensive AI is a growing category. Counter-deception is one of the fascinating use cases of the year.
The hard parts
Scammers adapt fast. Models must evolve continuously.
Playbook moves
(1) Treat the scam corpus as adversarial training data. (2) Update continuously — weekly cycles, not quarterly. (3) Capture every interaction's metadata for downstream intel.
The surprise
The intelligence value of engaging scammers (their tactics, scripts, escalation patterns) is *bigger* than the disruption value. The product underneath Apate is intelligence-as-a-service to law enforcement, with disruption as the lead-in. Counter-fraud AI is going to look more like an intelligence operation than a defence tool.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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