BeeSafe AI builds a frontier AI model layer for social engineering defense, deploying AI agents that engage directly with scammers to expose their infrastructure and convert conversations into actionable intelligence. The company initially focuses on Authorized Push Payment (APP) fraud and money laundering within financial services, with plans to expand to consumer protection and government sectors. Its founding team includes ML and security researchers with backgrounds at CMU, UCSD, Censys, and Google Chrome. BeeSafe AI is part of Y Combinator's Winter 2026 batch.
BeeSafe AI
ActiveFrontier AI Defenses for Social Engineering Attacks
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
Agent-ready
—
Frontier AI model layer for social engineering defense
AI agents that engage directly with scammers
Exposure of scammer infrastructure through engagement
Conversion of scam conversations into actionable intelligence
Focus on Authorized Push Payment (APP) fraud
Coverage of money laundering threats
Initial focus on the financial services sector
Planned expansion to consumer protection and government use
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
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- How does BeeSafe AI fight scammers?
- It deploys AI agents that engage directly with scammers to expose their infrastructure and convert those conversations into actionable intelligence.
- What types of fraud does it focus on?
- It initially targets Authorized Push Payment (APP) fraud and money laundering within financial services.
- Who does BeeSafe AI serve first?
- It starts with financial services, with plans to expand into consumer protection and government sectors.
- What is the team's background?
- The founding team includes ML and security researchers with backgrounds at CMU, UCSD, Censys, and Google Chrome.
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