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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 partner, helping organizations secure their AI initiatives 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.
For models built and managed with Databricks MLflow, Grafyn helps secure the model lifecycle against AI-specific threats such as data poisoning, model stealing, and perturbation attacks. This helps organizations protect models from development through deployment while maintaining confidence in model integrity, access, and behavior.
For agents developed with Databricks Agent Bricks, Grafyn helps discover agentic AI assets, observe their behavior, minimize blast radius, and red-team agent workflows to help protect against emerging attacks. This gives teams the visibility and control needed to safely scale agentic AI across Databricks-powered environments.
With Grafyn, organizations using Databricks can strengthen AI security across models, agents, data pipelines, and applications without slowing innovation.
Key capabilities
Discover AI assets
Identify AI applications, agents, models, notebooks, workflows, data pipelines, and connected systems across Databricks-powered environments.
Secure models built with Databricks MLflow
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.
Observe behavior and risk
Monitor how AI assets interact with data, users, tools, APIs, models, and downstream systems to understand exposure, misuse potential, and risky behavior.
Secure agents built with Databricks Agent Bricks
Discover agents, observe their behavior, test them through red-team attacks, and identify unsafe interactions before they become incidents.
Minimize blast 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.
Prioritize what matters
Give security and AI teams context-rich risk insights so they can focus on the assets, behaviors, and attack paths that create the greatest business impact.
Support secure AI adoption
Enable teams to innovate with AI on Databricks while maintaining visibility, governance, and security across the AI lifecycle.
Support secure AI adoption
Enable teams to innovate with AI on Databricks while maintaining visibility, governance, and security across the AI lifecycle.
Support secure AI adoption
Enable teams to innovate with AI on Databricks while maintaining visibility, governance, and security across the AI lifecycle.
Secure your Databricks-powered AI initiatives with Grafyn
Learn how Grafyn helps organizations gain visibility, understand risk, red-team agentic workflows, and reduce blast radius across AI environments built on Databricks.