Zenity Announces AI Security Posture Management Capabilities for Microsoft Fabric
Enabling Business-Led Development and Secure Governance of AI Skills
Zenity, the leader in securing Agentic AI everywhere, has announced that its AI Security Posture Management (AISPM) capabilities can be used to enable security teams to protect and govern AI skills built on Microsoft Fabric in one unified security and governance platform.
Unlocking the Power of AI Skills in Microsoft Fabric
Microsoft Fabric’s AI skills can access, process, and store highly sensitive data, making it vital that companies understand and govern the data exposed by employees and third parties who are building and incorporating AI skills into various enterprise workflows. Fabric is also a business-led development platform, meaning anyone, regardless of technical background, can build skills and choose how they are used.
Zenity’s application security platform creates a unique graph for each skill, revealing who built the skill, what data lakehouses and warehouses it accesses, how it is embedded into other agents and applications, and who can use and share that skill.
Key Features and Benefits
- Endorsements – The amount of trust the customer has for a given AI skill (Promoted, Certified), as well as who gave that endorsement.
- Sensitivity labels – As they are applied by users or Microsoft Purview.
- Visibility into original resources that the AI skills use – In Fabric, these are specifically called “lakehouses,” which each have their own sensitivity labels and endorsements to keep track of.
Zenity’s AISPM capabilities for Fabric enable customers to harness the power of Microsoft Fabric fully, enabling business users of all technical backgrounds to build impactful AI skills that can be used standalone and/or embedded into Microsoft 365 Copilot or other user-built Agents within Microsoft Copilot Studio.
Quote from Shay Gadidi, Vice President of Product Management, Zenity
“Building AI skills in Microsoft Fabric isn’t merely a technical exercise; it has the power to transform businesses. Yet, low-code/no-code development’s ease of use and Microsoft 365 Copilot and Power Platform’s robust integration capabilities mean big risks. These must be addressed so companies can appropriately govern the use of Fabric from end to end. Zenity’s AISPM capabilities for Fabric enable our customers to embrace the future of AI and unlock new levels of productivity, efficiency, and innovation – all while remaining secure.”
Conclusion
Zenity’s announcement marks a significant milestone in the development of AI Security Posture Management capabilities for Microsoft Fabric. By providing a unified security and governance platform, Zenity enables customers to securely unlock the power of AI skills in Microsoft Fabric, while also addressing the risks associated with low-code/no-code development and the integration of AI skills into various enterprise workflows.
FAQs
- What is AI Security Posture Management (AISPM)? AISPM is a capability that enables security teams to protect and govern AI skills built on Microsoft Fabric in one unified security and governance platform.
- What are the key features and benefits of Zenity’s AISPM capabilities for Microsoft Fabric? The key features and benefits include endorsements, sensitivity labels, and visibility into original resources that the AI skills use, as well as the ability to harness the power of Microsoft Fabric fully and enable business users of all technical backgrounds to build impactful AI skills.
- What are the risks associated with low-code/no-code development and the integration of AI skills into various enterprise workflows? The risks include big risks, such as unauthorized access to sensitive skills, and the need for companies to appropriately govern the use of Fabric from end to end.
- How does Zenity’s AISPM capabilities for Microsoft Fabric address these risks? Zenity’s AISPM capabilities for Fabric enable customers to securely unlock the power of AI skills in Microsoft Fabric, while also addressing the risks associated with low-code/no-code development and the integration of AI skills into various enterprise workflows.
