Open-source SDK for AI agent security, governance, and deterministic cost control.
Product memo
Targets AI developers and security teams building AI agents, offering a clear wedge against probabilistic security solutions. Provides deterministic controls for governance, cost management, and policy enforcement without inserting an LLM into the critical path. Its open-source Apache 2.0 licensed SDK integrates directly into the application stack, appealing to enterprises that prioritize predictable enforcement and auditability over black-box filtering.
For who
AI developers and security teams
Solves what
Securing AI agents with open-source SDKs for governance, cost control, and security.
- Client-side AI governance SDK
- Security and cost guardrails
- Audit logging and policy enforcement
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
subscription
Free tier
No
Trial
No
Pricing Strategy
Pricing is not publicly disclosed, suggesting a freemium model with enterprise-focused subscriptions.
- • Uses an open-source SDK to drive developer adoption and community contributions, building a strong foundation.
- • Bypasses per-seat or usage-based pricing in favor of enterprise contracts, aligning with large-scale deployments.
- • Offers a free entry point for individual developers, then monetizes through advanced features, support, and integrations for larger organizations.
Operator context
Team
Indie / lean
Founded
Apr 2026
Social / footprint
Builder Strategy
- Strategy Type
- Open Source Commercial
- Stage
- Bootstrapped Lean
- Effort
- Small Team
Targets AI developers with an open-source SDK for security and cost governance, offering deterministic controls and broad LLM provider support.
Unfair Advantages
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Brand Trust Open-source nature and Apache 2.0 license foster community trust and adoption.
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Exclusive Distribution Drop-in SDK for 7 LLM providers covers 95%+ market share.
Builder Lesson
Build trust by offering a core open-source SDK with broad integration, then layer enterprise features for monetization.
Full Reasoning
The strategic play here is a direct assault on the nascent AI agent security market, leveraging an open-source SDK as its primary weapon. The asymmetric bet on an Apache 2.0 license and broad LLM provider support makes it a frictionless choice for developers, commoditizing the basic security layer. Builders should note: open-source is a powerful distribution mechanism for early adoption, but the monetization strategy must be crystal clear — often through enterprise-grade features, support, or a managed service layer.
About Product Hunt Launch — TealTiger v1.2 Expand
TealTiger offers an open-source SDK designed to secure AI agents and applications. Built for AI developers and security teams, it provides a robust framework for governance, cost control, and policy enforcement. Unlike solutions that rely on LLMs for security decisions, TealTiger emphasizes deterministic controls, ensuring that the same input with the same policy always yields the same outcome. This approach is crucial for enterprises demanding predictable enforcement and clear audit trails.
Its Apache 2.0 licensed SDK integrates seamlessly into existing application stacks, making it a flexible choice for teams building and deploying AI agents. TealTiger's focus on client-side guardrails and audit logging helps organizations maintain control over their AI deployments, addressing critical concerns around security, compliance, and operational costs. This open-source commercial model allows for broad adoption while providing a path for enterprise-grade features and support.