Open-source SDK for deterministic AI agent security, policy enforcement, and cost tracking.
Product memo
Developers building AI applications and agents get an open-source SDK for security and governance. It provides client-side guardrails, policy enforcement, and audit logging, ensuring predictable outcomes without placing an LLM in the governance path. This approach delivers deterministic controls for AI apps, enabling modular adoption and enterprise integration.
For who
Developers securing AI apps and agents
Solves what
Provides an open-source SDK for AI agent security, policy enforcement, and cost tracking.
- Client-side guardrails
- Policy enforcement
- Audit logging
In their own words
Enterprise-grade AI Governance & Security SDK
Deterministic controls for AI apps and agents — built for predictable enforcement, modular adoption, and enterprise integration. No LLM in the governance path. Same input + same policy = same decision, every time.
Commercial cues
Model
contact only
Free tier
No
Trial
No
Pricing Strategy
The core SDK is open-source and free, with an Enterprise tier available via custom pricing. This allows teams to test the security framework before committing to a paid plan.
- • Open-source core lowers adoption friction for developers and small teams.
- • Usage-based billing aligns costs with an organization's AI agent activity.
- • Enterprise handles custom requirements.
Operator context
Founded
Apr 2026
Platform
API
Audience
Developers
Builder Strategy
- Strategy Type
- Open Source Commercial
- Stage
- Pre Revenue
- Effort
- Small Team
About Product Hunt Launch — TealTiger v1.2 Expand
TealTiger offers an open-source SDK designed for developers securing AI applications and agents. It focuses on deterministic controls, ensuring that the same input with the same policy always yields the same decision, without an LLM in the governance path.
This approach provides client-side guardrails, policy enforcement, audit logging, and cost governance. The open-source model allows for broad adoption and community contributions, while an Enterprise tier caters to organizations needing advanced features and integrations for their AI security framework.