02 · Autonomous fraud-defense agent · 2026
Gatehouse
Scam losses crossed an estimated $1.03 trillion worldwide in 2024. Caller ID apps label phone numbers. Banks alert after the money has moved. Nobody investigates the attack itself while it is just a message sitting on a family member's phone.
Gatehouse is that investigator. Forward the message and a team of AI agents works it like a professional fraud desk, escalating only genuine decisions to the family guardian with court-grade evidence bundles.
Investigation, not classification
Agents verify claims against authoritative registries, correlate across a privacy-preserving cross-household threat graph, and can engage suspected scammers under strict guardrails. The guardian sees a decision, the evidence behind it, and nothing else.
Built on the Strands Agents SDK and deployed on Amazon Bedrock AgentCore.
Discipline before demos
Phase one runs fully offline by charter: a deterministic rule engine with zero model calls and zero network, byte-reproducible scores, and a 30-case benchmark through the same evaluation harness the learning systems must beat.
Every log record passes a mandatory scrubber, and CI seeds canary strings to prove personal data never reaches observability sinks. Metrics publish Wilson 95% intervals because small-sample honesty matters more than big-sample vanity.
Twenty controlled design documents cover vision, architecture, security, and SLOs before agent integration lands in phase two.