SaaS Security
New Features Introduced in January 2025
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SaaS Security Docs
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- Begin Scanning an Amazon S3 App
- Begin Scanning a Bitbucket App
- Begin Scanning a Box App
- Begin Scanning ChatGPT Enterprise App
- Begin Scanning a Cisco Webex Teams App
- Begin Scanning a Confluence App
- Begin Scanning a Confluence Data Center App
- Begin Scanning a Dropbox App
- Begin Scanning a GitHub App
- Begin Scanning a Gmail App
- Begin Scanning a Google Cloud Storage App
- Begin Scanning a Google Drive App
- Begin Scanning a Jira App
- Begin Scanning a Jira Data Center App
- Begin Scanning a Microsoft Azure Storage App
- Begin Scanning a Microsoft Exchange App
- Begin Scanning a Microsoft Teams App
- Begin Scanning Office 365 Apps
- Begin Scanning a Salesforce App
- Begin Scanning a ServiceNow App
- Begin Scanning a ShareFile App
- Begin Scanning a Slack Enterprise App
- Begin Scanning a Slack for Pro and Business App
- Begin Scanning a Workday App
- Begin Scanning a Zendesk App
- Begin Scanning a Zoom App
- Perform Actions on Sanctioned Apps
- API Throttling
- Configure Classification Labels
- Microsoft Labeling for Office 365
- Google Drive Labeling
- Configure Phishing Analysis
- Configure WildFire Analysis
- Fine-Tune Policy
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- What is an Incident?
- Filter Incidents
- Configure Slack Notification Alerts on Data Security
- Security Controls Incident Details
- Track Down Threats with WildFire Report
- Customize the Incident Categories
- Close Incidents
- Download Assets for Incidents
- View Asset Snippets for Incidents
- Modify Incident Status
- Email Asset Owners
- Generate Reports on Data Security
- Integrate CIE with Data Security
- Search in Data Security
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- View Usage Data for Unsanctioned SaaS Apps
- SaaS Visibility Application Attributes
- How SaaS Security Inline Determines an App's Risk Score
- Identify Risky Unsanctioned SaaS Apps and Users
- Generate the SaaS Security Report
- Filter Unsanctioned SaaS Apps
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- SaaS Policy Rule Recommendations
- App-ID Cloud Engine
- Guidelines for SaaS Policy Rule Recommendations
- Apply Predefined SaaS Policy Rule Recommendations
- Create SaaS Policy Rule Recommendations
- Enable SaaS Policy Rule Recommendations
- Monitor SaaS Policy Rule Recommendations
- Delete SaaS Policy Rule Recommendations
- Modify Active SaaS Policy Rule Recommendations
- Manage Enforcement of Rule Recommendations on Strata Cloud Manager
- Manage Enforcement of Rule Recommendations on Panorama
- Tag Discovered SaaS Apps
- Apply Tag Recommendations to Sanctioned Apps
- Change Risk Score for Discovered SaaS Apps
- Troubleshoot Issues on SaaS Security Inline
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- Onboarding Overview for Supported SaaS Apps
- Onboard an Aha.io App to SSPM
- Onboard an Alteryx Designer Cloud App to SSPM
- Onboard an Aptible App to SSPM
- Onboard an ArcGIS App to SSPM
- Onboard an Articulate Global App to SSPM
- Onboard an Atlassian App to SSPM
- Onboard a BambooHR App to SSPM
- Onboard a Basecamp App to SSPM
- Onboard a Bitbucket App to SSPM
- Onboard a Bito AI App to SSPM
- Onboard a BlueJeans App to SSPM
- Onboard a Box App to SSPM
- Onboard a Bright Security App to SSPM
- Onboard a Celonis App to SSPM
- Onboard a Cisco Meraki App to SSPM
- Onboard a Claude App to SSPM
- Onboard a ClickUp App to SSPM
- Onboard a Codeium App to SSPM
- Onboard a Cody App to SSPM
- Onboard a Confluence App to SSPM
- Onboard a Contentful App to SSPM
- Onboard a Convo App to SSPM
- Onboard a Couchbase App to SSPM
- Onboard a Coveo App to SSPM
- Onboard a Crowdin Enterprise App to SSPM
- Onboard a Customer.io App to SSPM
- Onboard a Databricks App to SSPM
- Onboard a Datadog App to SSPM
- Onboard a DocHub App to SSPM
- Onboard a DocuSign App to SSPM
- Onboard a Dropbox Business App to SSPM
- Onboard an Envoy App to SSPM
- Onboard an Expiration Reminder App to SSPM
- Onboard a Gainsight PX App to SSPM
- Onboard a GitHub Enterprise App to SSPM
- Onboard a GitLab App to SSPM
- Onboard a Google Analytics App to SSPM
- Onboard a Google Workspace App to SSPM
- Onboard a GoTo Meeting App to SSPM
- Onboard a Grammarly App to SSPM
- Onboard a Harness App to SSPM
- Onboard a Hellonext App to SSPM
- Onboard a Hugging Face App to SSPM
- Onboard an IDrive App to SSPM
- Onboard an Intercom App to SSPM
- Onboard a Jira App to SSPM
- Onboard a Kanbanize App to SSPM
- Onboard a Kanban Tool App to SSPM
- Onboard a Krisp App to SSPM
- Onboard a Kustomer App to SSPM
- Onboard a Lokalise App to SSPM
- Onboard a Microsoft 365 Copilot App to SSPM
- Onboard a Microsoft Azure AD App to SSPM
- Onboard a Microsoft Exchange App to SSPM
- Onboard a Microsoft OneDrive App to SSPM
- Onboard a Microsoft Outlook App to SSPM
- Onboard a Microsoft Power BI App to SSPM
- Onboard a Microsoft SharePoint App to SSPM
- Onboard a Microsoft Teams App to SSPM
- Onboard a Miro App to SSPM
- Onboard a monday.com App to SSPM
- Onboard a MongoDB Atlas App to SSPM
- Onboard a MuleSoft App to SSPM
- Onboard a Mural App to SSPM
- Onboard a Notta App to SSPM
- Onboard an Office 365 App to SSPM
- Onboard Office 365 Productivity Apps to SSPM
- Onboard an Okta App to SSPM
- Onboard an OpenAI App to SSPM
- Onboard a PagerDuty App to SSPM
- Onboard a Perplexity App to SSPM
- Onboard a Qodo App to SSPM
- Onboard a RingCentral App to SSPM
- Onboard a Salesforce App to SSPM
- Onboard an SAP Ariba App to SSPM
- Onboard a ServiceNow App to SSPM
- Onboard a Slack Enterprise App to SSPM
- Onboard a Snowflake App to SSPM
- Onboard a SparkPost App to SSPM
- Onboard a Tableau Cloud App to SSPM
- Onboard a Tabnine App to SSPM
- Onboard a Webex App to SSPM
- Onboard a Weights & Biases App to SSPM
- Onboard a Workday App to SSPM
- Onboard a Wrike App to SSPM
- Onboard a YouTrack App to SSPM
- Onboard a Zendesk App to SSPM
- Onboard a Zoom App to SSPM
- Onboarding an App Using Azure AD Credentials
- Onboarding an App Using Okta Credentials
- Register an Azure AD Client Application
- View the Health Status of Application Scans
- Delete SaaS Apps Managed by SSPM
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- New Features Introduced in December 2024
- New Features Introduced in November 2024
- New Features Introduced in October 2024
- New Features Introduced in August 2024
- New Features Introduced in July 2024
- New Features Introduced in June 2024
- New Features Introduced in May 2024
- New Features Introduced in April 2024
- New Features Introduced in March 2024
- New Features Introduced in January 2024
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- New Features Introduced in November 2023
- New Features Introduced in October 2023
- New Features Introduced in September 2023
- New Features Introduced in August 2023
- New Features Introduced in July 2023
- New Features Introduced in June 2023
- New Features Introduced in May 2023
- New Features Introduced in April 2023
- New Features Introduced in March 2023
- New Features Introduced in January 2023
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- New Features Introduced in December 2021
- New Features Introduced in October 2021
- New Features Introduced in September 2021
- New Features Introduced in August 2021
- New Features Introduced in July 2021
- New Features Introduced in June 2021
- New Features Introduced in May 2021
- New Features Introduced in March 2021
- New Features Introduced in January 2021
New Features Introduced in January 2025
Learn about the new features that became available in SaaS Security in
January 2025.
Create Access Control Policies for Third-Party Plugins
Although third-party plugins enable users to extend the capabilities of a marketplace
app, they can be a security risk to your organization. To detect when users install
third-party plugins that you do not want in your environment, you can now create Plugin Access Control policies. In
Plugin Access Control policies, you specify the plugins that you do not want in your
environment. SSPM will then scan the marketplace apps at regular intervals to
determine if users installed the plugins. Depending on the marketplace app, SSPM
might be able to automatically revoke plugin access. If not, SSPM can notify you in
the following ways.
- SSPM can create a task in an issue tracking system.
- SSPM can send an email notification to the user who created the policy.
- SSPM can, by using an incoming webhook, send notifications to a channel in Slack or Microsoft Teams.
After SSPM notifies you that it detected a plugin that you specified in the policy,
you can take action to remove the plugin from your environment.
Legacy UEBA Migration to Behavior Threats
The Legacy UEBA Integration with Behavior Threats feature enhances your User and
Entity Behavior Analytics (UEBA) capabilities by combining machine learning-based
behavior threats with optimized rule-based policy rules. This integration addresses
limitations in traditional rule-based systems, providing a more adaptive and
accurate security solution. You can improve threat detection, reduce false
positives, and identify complex behavioral anomalies and unknown threats. The system
adapts to new threat patterns automatically, reducing the need for manual updates.
You gain a consolidated view of all security incidents, streamlining threat
management. This feature is valuable when you need to strengthen your security
posture against sophisticated cyberthreats, enhance operational efficiency, and
customize threat detection policy rules. By implementing this solution, you can
ensure your security infrastructure evolves with the changing threat landscape while
offering scalability and flexibility. The feature is useful for detecting insider
threats, account compromises, and emerging attack vectors. It allows your security
teams to focus on strategic tasks rather than constant rule updates. With this
integration, you can improve your overall security effectiveness, adapt to new
threats more quickly, and gain deeper insights into user and entity behaviors across
your organization.
Behavior Threats Incident Insights
Behavior Threats Incident Details enhances your ability to investigate and respond to
security threats effectively. This feature provides detailed information about
detected anomalies and security incidents, including application names, granular
activities, precise timestamps, and asset data. You can view a chronological
sequence of user activities, understand risk score calculations, and access visual
representations of activity patterns. By using Behavior Threats Incident Details,
you can conduct thorough investigations, reduce response times, and minimize the
risk of undetected security breaches. The feature allows you to filter incidents
efficiently, export detailed reports for compliance purposes. You will find this
feature useful when analyzing user behavior, identifying potential insider threats,
and maintaining a strong security posture across your organization. Behavior Threats
Incident Details lets your security administrators make informed decisions quickly,
implement targeted remediation strategies, and optimize administrative resources in
managing security incidents. You can also view a detailed breakdown of user risk
scores, helping you understand the factors contributing to a user's risk level. The
feature includes advanced filtering options for efficient incident management and
provides visual tree views of risk score contributions. By using Behavior Threats
Incident Details, you can significantly improve your security team's efficiency in
detecting, analyzing, and responding to potential threats, ultimately strengthening
your organization's overall security posture.
LLM Powered User Risk Summary in Behavior Threats
Behavior Threats supports LLM powered user risk summary of the top 0.1% of risky
users. This summary provides detailed insights into unusual activities, data access
patterns, and potential security concerns even when incidents are not generated,
enabling security administrators like you to understand and assess user risk more
effectively. LLM-powered user risk summary is an innovative approach for evaluating
high-risk users by analyzing their activity patterns and machine learning model
results. This summary offers an overview of user risk factors, surpassing the
limitations of current incident descriptions that often focus on single aspects.
It's valuable for explaining high risk scores for users without recorded incidents.
This approach has shown promising results in production, offering additional
insights compared to traditional incident descriptions.