To allow third-party contractors controlled access, security policies must combine user identification and time-based access controls:
User-ID
User-ID enables security policies to be based on user identity rather than IP addresses, ensuring precise policy enforcement for specific users such as contractors.
Schedule
Schedules allow policies to be active only during specific times, providing time-based access control (e.g., after business hours).
Together, they ensure that only authorized users (contractors) have access, and only when explicitly allowed.

Voice quality issues in SD-WAN deployments are typically linked to path performance metrics (latency, jitter, packet loss). Reviewing real-time analytics helps pinpoint root causes and appropriate mitigation.
When experiencing performance issues, the first step is to analyze real-time performance data.
Prisma SD-WAN provides path quality analytics to identify degradation and ensure informed troubleshooting.
This data-driven approach avoids unnecessary configuration changes.

A security profile group named "default" is automatically applied to all new security rules unless a specific profile group is explicitly configured.
If a security profile group named `default' exists, it will be automatically applied to any newly created security policy rules to ensure consistent protection.
This behavior ensures that newly created policies are always protected by default security profiles, minimizing human error.

Enterprise DLP uses cloud analysis to inspect and classify sensitive data in non-file-based formats (e.g., in-line data streams, SaaS communications).
Enterprise DLP inspects data in non-file-based traffic flows, forwarding suspicious data patterns to the cloud for classification and verdicts.
The other services focus on file-based scanning (WildFire), URL access control (Advanced URL Filtering), or inline SaaS application controls (SaaS Security Inline).

To fully leverage inline cloud analysis in Advanced Threat Prevention, security profiles (e.g., anti- spyware) must be updated or newly created to enable local deep learning and inline cloud analysis models.
To activate inline cloud analysis, update your Anti-Spyware profile to enable advanced inline detection engines, including deep learning-based models and cloud-delivered signatures.
This ensures real-time protection from sophisticated threats beyond static signatures.