Microsoft Defender for Cloud Apps (formerly Microsoft Cloud App Security) is a comprehensive Cloud Access Security Broker (CASB) that provides multifunction visibility, control over data travel, and sophisticated analytics to identify and combat cyberthreats across all your cloud services. both Microsoft and third-party.
Discover and identify 31,000+ cloud apps in use across your organization. Assess risk and compliance for each app and make informed sanctioning decisions.
Apply sensitivity labels, DLP policies, and encryption across cloud apps. Protect sensitive data wherever it travels in your SaaS ecosystem.
Detect anomalous behaviors, impossible travel, suspicious inbox rules, and ransomware indicators. Use UEBA for identity-centric threat detection.
Monitor OAuth apps, detect overprivileged or malicious apps, and enforce app governance policies to reduce risk from third-party integrations.
Enforce real-time session controls using reverse proxy architecture. Monitor, block downloads, and protect sensitive data during user sessions.
Get security recommendations for SaaS configurations across Microsoft 365, Salesforce, ServiceNow, and other connected apps through Secure Score.
Practical SaaS security labs. discover shadow IT, enforce session controls, investigate risky apps, and implement cloud DLP across your organization.
Configure Cloud Discovery with firewall and proxy log uploads, analyze shadow IT findings across your enterprise, risk-score unsanctioned SaaS applications, and create app governance policies to block high-risk cloud services.
Connect enterprise SaaS apps (Microsoft 365, Salesforce, Box) via API connectors, configure Conditional Access App Control with Azure AD, create session policies that block downloads of sensitive files in real time, and test enforcement end-to-end.
Audit OAuth app permissions across your tenant, identify over-privileged third-party applications, create policies to detect high-risk OAuth consent grants, revoke suspicious app access, and remediate compromised service accounts in a production environment.
Create file policies with DLP content inspection for credit card numbers and PII, configure automatic sensitivity labeling for documents in cloud storage, set up alert workflows and incident reports for policy violations, and generate compliance reports for auditors.
Discover shadow AI and LLM applications across the organization, assess AI app risk scores, configure session policies for AI tools, monitor sensitive data shared with AI services, and build an enterprise AI governance framework.