Best AI Guardrails for Databricks
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Compare the Top AI Guardrails that integrate with Databricks as of October 2026
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This a list of AI Guardrails that integrate with Databricks. Use the filters on the left to add additional filters for products that have integrations with Databricks. View the products that work with Databricks in the table below.
What are AI Guardrails for Databricks?
AI guardrails are software solutions that enforce safety, security, compliance, and governance controls on artificial intelligence systems and applications. They monitor AI inputs, outputs, actions, and interactions to prevent issues such as harmful content generation, data leakage, prompt injection attacks, policy violations, and unauthorized behavior. These platforms often provide real-time validation, content filtering, risk scoring, access controls, and policy enforcement to ensure AI systems operate within defined boundaries. Many AI guardrail solutions integrate with large language models (LLMs), AI agents, AI orchestration platforms, and enterprise applications to deliver consistent oversight across AI workflows. By improving trust, compliance, and operational safety, AI guardrails help organizations deploy AI responsibly while reducing business and security risks. Compare and read user reviews of the best AI Guardrails for Databricks currently available using the table below. This list is updated regularly.
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Lunary
Lunary
Lunary is an AI developer platform designed to help AI teams manage, improve, and protect Large Language Model (LLM) chatbots. It offers features such as conversation and feedback tracking, analytics on costs and performance, debugging tools, and a prompt directory for versioning and team collaboration. Lunary supports integration with various LLMs and frameworks, including OpenAI and LangChain, and provides SDKs for Python and JavaScript. Guardrails to deflect malicious prompts and sensitive data leaks. Deploy in your VPC with Kubernetes or Docker. Allow your team to judge responses from your LLMs. Understand what languages your users are speaking. Experiment with prompts and LLM models. Search and filter anything in milliseconds. Receive notifications when agents are not performing as expected. Lunary's core platform is 100% open-source. Self-host or in the cloud, get started in minutes.Starting Price: $20 per month -
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Jozu
Jozu
Jozu is an AI supply chain security platform that verifies artifacts before execution, governs agent activity at runtime, and preserves proof of what happened afterward. Jozu Hub provides a self-hosted registry for models, agents, MCP servers, and skills, centralizing each artifact with cryptographic signatures, attestations, scanning, policy controls, and audit records. Its AI-specific security analysis covers threats such as executable code hidden in model packages, backdoored weights, data poisoning, prompt injection, compromised tools, and license violations. Policies can be authored once, distributed as signed OCI artifacts, and enforced when artifacts are pulled, promoted, admitted, or executed. Jozu Agent Guard runs alongside workloads on servers, desktops, edge devices, and air-gapped systems, applying local prompt and input-output filtering, tool-access controls, approval requirements, and runtime policy enforcement. -
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Unity AI Gateway
Databricks
Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps.
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