New integrations across AI security, identity, observability, and agent governance
by [David Nasi](/blog/author/david-nasi), [Kelly Albano](/blog/author/kelly-albano) and [Ashish Kathapurkar](/blog/author/Ashish-Kathapurkar)
• Secure AI interactions with an open ecosystem: Integrate Alice, CrowdStrike, Cyera, HiddenLayer, Netskope, Noma Security, Obsidian Security, Openlayer, Palo Alto Networks, and Zscaler to protect prompts, model responses, agent actions, and MCP tool calls.
• Extend enterprise identity governance to AI agents: Govern agent identities and access using integrations with Okta, Ping Identity, and Saviynt.
• Gain centralized visibility and control across AI systems: Monitor AI activity, enforce governance policies, and manage risk consistently across models, agents, MCP services, and tools through Unity AI Gateway.
As organizations move AI from experimentation to production, governance requirements are expanding beyond models alone. Enterprises need visibility into how AI is used, controls over what agents can access, protection against emerging AI threats, and identity systems that can govern both human and non-human actors.
At Data + AI Summit 2026, we're announcing the Unity AI Gateway partner ecosystem, with new integrations across AI security, identity governance, agent discovery, data protection, and threat detection.
Unity AI Gateway is Databricks' governance solution for enterprise AI. Built on the foundation of Unity Catalog, it extends governance beyond data and AI assets to the runtime interactions between models, agents, MCP servers, skills, and AI tools. Organizations can use Unity AI Gateway to apply policies, monitor activity, manage spend, and govern AI consistently across providers and frameworks.
Just as enterprises rely on a rich ecosystem of security, identity, and governance tools for traditional applications, they need those same capabilities for AI. Through our open partner ecosystem, customers can integrate the solutions they already trust into governed AI workflows.
Together, these integrations help organizations address three key areas of AI governance:
As AI agents gain access to enterprise systems and data, organizations need protections that can evaluate prompts, responses, tool calls, and agent actions in real time. Unity AI Gateway enables customers to integrate leading AI security, observability and guardrail providers directly into governed AI workflows.
Alice applies real-time AI guardrails for enterprise applications and agents, detecting and blocking harmful, non-compliant, or off-policy prompts and responses with policy-specific protections, live observability, and multimodal and multilingual coverage.
"Alice is thrilled to help organizations building on Databricks govern AI workflows with personalized runtime guardrails. Integrating Alice's WonderFence with Unity AI Gateway delivers consistent policy enforcement across Databricks workspaces, so our shared customers can advance unafraid as they deploy AI at scale." — Avi Golan, Chief Product & Engineering Officer, Alice
By integrating Falcon® AIDR with Databricks Unity AI Gateway, organizations can extend AI security across models, agents, and tools with unified visibility, threat detection, and policy enforcement across AI interactions. Together, CrowdStrike and Databricks help customers monitor AI activity, identify risks such as prompt injection, data exposure, malicious entities, unsafe content, and MCP tool poisoning, and take action through reporting, transforming, or blocking requests and responses.
"As enterprises move AI into production, they need a consistent way to govern and secure AI interactions across models, agents, and tools. By integrating Falcon AI Detection and Response with Databricks Unity AI Gateway, CrowdStrike makes the Falcon platform the security layer for AI, delivering the visibility, detection, and protection organizations need to scale AI across the enterprise." —Daniel Bernard, Chief Business Officer, CrowdStrike
Cyera is integrating with Unity AI Gateway to bring precise data classification and enterprise-grade security into the AI runtime, automatically identifying and preventing the exposure of sensitive data, excessive agency, and dangerous tool invocation across every prompt, response, and agent action.
"As AI agents gain access to enterprise systems, organizations need protections that work in real time, evaluating what agents can reach before risk spreads. Our integration with Databricks brings Cyera's data and AI security directly into the runtime layer, so companies determine what their AI can see and do in real time. That's the infrastructure the agentic era requires, and it's what makes AI transformation something enterprises can actually trust." — Tamar Bar-Ilan, CTO and co-founder, Cyera
HiddenLayer protects agents at runtime from prompt attacks, jailbreaks, unsafe outputs, and malicious tool use, and helps organizations detect and block data leakage, inference attacks, model tampering, and model extraction attempts in real time across production AI systems.
As enterprises scale agentic AI, they need governance and security controls that work seamlessly across their existing technology ecosystem. We're excited to be part of Databricks' Unity AI Gateway ecosystem to help organizations extend AI security into the runtime enforcement layer, bringing trusted security controls into agent, model, and tool interactions. Together, we're helping customers accelerate AI adoption while maintaining the visibility, governance, and protection required to innovate confidently." — Chris Sestito, CEO and Co-founder, HiddenLayer
Netskope provides runtime threat defense, content moderation, DLP, and advanced threat protection for prompts, responses, and agentic workflows.
"Enterprises need AI guardrails that work with the way their teams actually build: across models, apps, and agents. Together, Netskope and Databricks help mutual customers protect AI usage from data leakage, prompt injection, and unsafe content." �— Andy Horwitz, Senior Vice President, Global Partner Ecosystems, Netskope
Noma Security monitors prompts, responses, tool calls, MCP interactions, and agent behavior to detect, mask, or block threats in line with security, privacy, and compliance policies.
"Agentic AI changes the security model because agents act across systems autonomously, and by the time something looks wrong, the damage is done. By integrating with Unity AI Gateway, Noma brings full-session behavioral detection to Databricks environments, allowing security teams to govern what agents do before they do it.” — Niv Braun, Co-Founder & CEO, Noma Security
Obsidian Security helps organizations discover and govern AI agents across the enterprise by mapping agents to owners, connected tools, models, MCP servers, permissions, and activity.
"Most enterprise environments now have more AI agents operating in their SaaS stack than human users, and almost none of those agents are governed. Unity AI Gateway changes that calculus and through Obsidian's integration, security teams get the context to understand what an agent touched, what it could reach, whether it should have, and the enforcement to act when it shouldn't. That's the foundation enterprises need to scale AI with confidence." — Hasan Imam, CEO, Obsidian Security
Openlayer brings AI observability, evaluation, and runtime guardrails into governed AI workflows, helping teams validate inputs and outputs, enforce constraints, and connect guardrail decisions with traces and monitoring systems.
"We are excited to partner with Databricks as we continue on our mission to operationalize AI governance. By combining Databricks' unified data and AI platform with Openlayer's evaluation and governance layer, we're giving teams the foundation to move from experimentation to production without sacrificing reliability, fairness, or control." — Gabriel Bayomi, CEO & Founder, Openlayer
Scan prompts, model responses and MCP tool calls for threats such as prompt injection, insecure outputs, agentic threats, and sensitive data loss while preventing toxic content, malicious code, custom topics, and malicious URLs using the Prisma AIRS AI Runtime Security API.
“As enterprises scale agentic AI, security needs to move into the runtime path. Together with Databricks, Prisma AIRS will help customers inspect AI interactions in real time and enforce protections across models, applications, and agents.” — Ian Swanson, VP, Product, AI Security at Palo Alto Networks
Zscaler AI Guard inspects prompts before they are sent to models and responses before they are returned to users, applying trusted security policies through API-based enforcement.
"AI is quickly becoming a core part of enterprise operations, making governance and security foundational requirements for successful adoption. By combining Databricks Unity Gateway capabilities with Zscaler’s AI Guardrails, customers receive greater visibility, intent-based and outcome-based controls, and protection across AI interactions.” — Ashwin Kesireddy, VP, Product Management - AI Security, Zscaler
As AI agents begin acting on behalf of users and interacting with enterprise applications, identity security and governance become foundational requirements. Organizations need to understand where agents are, what they can connect to, and what they can do.
Through collaboration between Databricks and Okta, organizations can extend enterprise identity controls into agent workflows, govern agent identities, delegate access, and manage access across apps.
AI agents need an identity, explicit guardrails, and real accountability. Together with Databricks, we are solving this challenge. By connecting Okta’s Identity Platform with the Unity AI Gateway, enterprises can extend consistent governance and trusted controls to agents and the critical data pipelines they touch — Harish Peri, SVP and GM, Okta for AI Agents
Ping Identity brings trusted identity, authorization, and accountability to AI-driven interactions, helping organizations govern agent activity across users, tools, and enterprise data.
"AI agents require the same foundations that enterprises expect for human users: trusted identity, clear authorization, and accountability for every action. By combining Ping Identity’s Identity for AI capabilities with Databricks Unity AI Gateway, organizations can extend those controls across AI-driven interactions and help govern agent activity at runtime across users, tools, and data." — Loren Russon, VP Product Management & Technology Alliances, Ping Identity
Saviynt establishes identity governance and security for AI agents throughout their entire lifecycle(s). Saviynt's AI identity and posture management capabilities, in conjunction with an Agent Access Gateway, help ensure that no AI identity goes unidentified or ungoverned.
"Unity AI Gateway serves as the central nervous system for enterprise AI traffic, but identity governance answers the critical questions: who provisioned this agent, what access should it have, and does its current behavior match what was approved at registration? By integrating Saviynt's identity governance with Unity AI Gateway, runtime AI controls connect with the identity lifecycle that precedes them. Enterprises can enforce least-privilege access for AI workloads, continuously certify agent entitlements, and quickly detect access drift - without rebuilding their existing AI infrastructure." — Vibhuti R. Sinha, Chief Product Officer, Saviynt
We're excited to continue expanding this ecosystem and helping organizations securely scale AI across their enterprise. Learn more about Unity AI Gateway by visiting our website.
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