Securing the AI Revolution. Building Trustworthy Systems for the Future.
At TBH.AI, we are on a mission to build secure, scalable, and trustworthy AI systems for a rapidly evolving world.
In an age where AI adoption is accelerating, security can no longer be an afterthought — it must be foundational.
Secure Multi-Agent Frameworks
Architecting agentic systems where security checkpoints, permission profiles, and output validations are built into the core structure.
Security-First Model Development
Creating and fine-tuning large language models (LLMs) with inherent safeguards against modern threats like prompt injections, context manipulation, and unauthorized execution.
AI Security Products
Developing new tools, libraries, and frameworks focused on hardening AI applications against emerging attack vectors.
Model Context Protocol (MCP) Awareness
Designing models and agents that are resilient against MCP-based attacks and toolchain vulnerabilities, ensuring integrity even in complex ecosystems.
Open Research & Innovation
Publishing frameworks, security research, and papers to push forward the global conversation on AI safety.
Secure this AI revolution by embedding security, trust, and resilience into every layer of AI systems — from models to agents to applications.
We aim to enable organizations and developers to build not just powerful AI, but safe, ethical, and reliable AI — ready for the real-world challenges ahead.
We're just getting started — this is just the beginning.
Follow our open-source frameworks, research, and product launches here on Hugging Face and beyond.
🔗 GitHub: TBH.AI GitHub
🔗 TBH Secure Agents Project: Secure Agents Repo
🔗 Security Framework Docs: Security Checkpoints Documentation