Cost / License
- Freemium
- Proprietary
Application type
Platforms
- Mac
United States




Agentic AI security for enterprise AI agents. Secure them before they access accounts, expose customer data, call tools, or trigger high-risk actions.

The reliability platform for AI agents - trace, evaluate, guard, and control the cost of every LLM call and agent handoff in production.




The proxy server for AI-native apps. Arch handles the pesky low-level work in building agents like clariyfing vague user input, routing prompts to the right agents and unifying access to any LLM - all without locking you into a framework.

Llama Guard is an LLM-based input-output safeguard model geared towards Human-AI conversation use cases.
State machine guardrails that control which tools your AI agent can use in each phase. Define a workflow once, enforce it across Claude Code, Codex, Cursor, opencode, and Pi.


Wardstone is an LLM firewall and AI guardrail API that protects AI applications from prompt attacks, harmful content, data leakage, and suspicious links in a single inference call with ~30ms latency.



Gigacatalyst lets B2B SaaS teams turn a customer request (a spreadsheet report, a dashboard ask, a demo requirement, a call transcript) into a working dashboard, report or configured app that runs on the product's own APIs and permissions.

WildGuard is an open, lightweight moderation tool for LLM safety that achieves three goals:
ShieldGemma is a set of instruction tuned models for evaluating the safety of text and images against a set of defined safety policies. You can use this model as part of a larger implementation of a generative AI application to help evaluate and prevent generative AI...
Security API for AI agents to detect prompt injection, jailbreak attempts, and unsafe operational intent before execution.



A text classification model that can be used as a guardrail to protect against toxic prompts and responses in conversational AI systems.
IntentiAI is an intent classification engine for AI agents and chatbots. It doesn't just route to cheap vs expensive models. It understands what the user wants, then selects both the optimal model AND a tailored prompt for that specific intent.



