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Secure AI at scale across Databricks-powered environments
Grafyn is proud to be part of the Databricks Startup Program and a Databricks Technology Partner, helping organizations secure their AI agents and applications as they build, deploy, and scale on Databricks. Grafyn’s Agentic AI Security Platform helps organizations discover AI assets, observe their behavior and risks, and minimize blast radius to protect against emerging attacks. Together with Databricks, Grafyn enables security, data, and AI teams to gain deeper visibility and control across modern AI, agentic, and data environments.
Why Grafyn for Databricks customers?
As organizations accelerate AI adoption on Databricks, security teams need visibility into how AI systems, agents, models, data pipelines, and applications behave across the enterprise. Grafyn helps teams understand where AI assets exist, how they interact with sensitive data and systems, and which risks require action.
Agent Bricks
Grafyn helps teams safely scale Databricks Agent Bricks agents by discovering agentic AI assets, providing observability into agent behavior, reducing identity and trust blast radius, and protecting against emerging threats.
MLflow
Grafyn helps teams safely scale predictive models by securing feature engineering, providing observability into model behavior, protecting against data poisoning and model-stealing attacks, and maintaining confidence in model integrity.
Lakeflow
Grafyn leverages Databricks Lakeflow data pipelines to monitor user activity, trace risky data flows to AI models and agents, detect abnormal behavior, and identify sensitive data leakages from AI agents and models.
Key Capabilities
Discover AI Assets
Identify AI applications, agents, models, notebooks, workflows, data pipelines, and connected systems across Databricks-powered environments.
Observe Behavior
Monitor how AI assets interact with data, users, tools, APIs, models, and downstream systems to understand exposure, misuse potential, and risky behavior.
Minimize Rlast Radius
Reduce the impact of emerging AI threats by identifying risky access paths, excessive permissions, sensitive data exposure, unsafe agent actions, and vulnerable model interactions.
Secure Agents
Discover agents, observe their behavior, test them through red-team attacks, and identify unsafe interactions before they become incidents.
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Secure Predictive Models
Help protect models built and managed with Databricks MLflow from data poisoning, model stealing, perturbation attacks, and other AI-specific risks across the model lifecycle.
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Govern What Matters Most
Give security and AI teams context-rich risk insights so they can focus governance on the assets, behaviors, and attack paths that create the greatest business impact.