Vendor training·Microsoft LearnVerified

AI workload governance and DLP

Master the art of safeguarding sensitive data and enforcing governance for AI workloads on Azure. This learning path is crafted for IT and security professionals tasked with maintaining data protection and compliance in AI environments. Discover how to prevent data exfiltration and apply governance policies that ensure consistent, secure AI deployments. Learn to combine technical controls with strategic oversight to create resilient, policy-driven AI architectures that align with organizational and regulatory standards.

54 minSelf-pacedFree

Open at Microsoft Learn Save Mark complete

Likely qualifies for

Estimated credit values based on the content of this opportunity. Always verify with your certifying body before claiming.

ISC2High confidence

CCSP+0.75 credits

Directly addresses cloud platform security and data protection controls for AI workloads on Azure, core CCSP domain of platform and infrastructure security.

ISACAMedium confidence

CISM+0.75 credits

Addresses information security governance and policy enforcement for emerging technology (AI), aligning with CISM's program development and risk management focus.

CompTIAMedium confidence

Security++0.75 credits

Covers governance policies and data protection implementation, relevant to Security+ operations and governance domains but not specialized to cloud.

Credit estimates are RecertHero's best-effort interpretation of the content described. Each certifying body has its own rules — always confirm with the official CPE / CEU policy and keep your own attendance records.