LogosGuard is risk management software for enterprises adopting AI. The platform translates AI policies and compliance frameworks into executable controls, stress-tests AI products and features with security evaluations, and continuously monitors changes with regulatory-ready reporting. The goal is to give enterprises confidence to scale AI responsibly. LogosGuard was founded in 2025, is based in San Francisco, and is part of Y Combinator's Fall 2025 batch.
LogosGuard
ActiveThe risk management software for enterprises adopting AI
Total raised
$500K
1 round
Stage
Seed
Jan 2025
Team
1-10
since 2025
Pricing
—
Founded
2025
San Francisco, United States
Agent-ready
—
Risk management software for enterprises adopting AI
Translates AI policies and compliance frameworks into executable controls
Stress-tests AI products and features with security evaluations
Continuous monitoring of changes to AI systems
Regulatory-ready reporting
Maps governance requirements to enforceable technical controls
Designed to help enterprises scale AI responsibly
Focus on AI risk, security, and compliance together
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2025 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What is LogosGuard?
- LogosGuard is risk management software for enterprises adopting AI. It turns AI policies into executable controls, stress-tests AI products, and continuously monitors changes with regulatory-ready reporting.
- How does LogosGuard handle AI policies?
- It translates AI policies and compliance frameworks into executable controls, so governance requirements become enforceable technical safeguards.
- What does stress-testing mean here?
- LogosGuard runs security evaluations against AI products and features to surface risks before they reach production at scale.
- Who is LogosGuard for?
- It is aimed at enterprises adopting AI that need to manage risk, security, and compliance in order to scale responsibly.
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