New Features October 2020
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- New Features October 2020
- New Features September 2020
- New Features: August 2020
- New Features: April 2020
- New Features: November 2019
- New Features: May 2019
- New Features: March 2019
- New Features: February 2019
- New Features: November 2018
- New Features: October 2018
- New Features: September 2018
- New Features: August 2018
- New Features: July 2018
- New Features: June 2018
New Features October 2020
The following topics provide a snapshot of the AutoFocus
features introduced in October 2020. This list provides context
for the new features, with steps to get started.
Support for URL Analysis | The AutoFocus™ search now
incorporates analysis data derived from the improved URL analysis
capabilities found in the WildFire global cloud. Additionally, this
service aggregates threat analysis details from all Palo Alto Networks
services, enabling AutoFocus to deliver consistent web page verdicts
with additional report details for more context when investigating
anomalous web activity. Report details for URLs processed
by the new URL analyzers are viewable when performing an AutoFocus
indicator search. ![]() The following improvements are now available
for URL searches:
For more information about the concepts
referenced in this feature, refer to: AutoFocus Search |
Support for Cortex XDR Sample Uploads | Cortex XDR can forward
suspicious samples to WildFire for analysis in addition to using
its built-in local analysis engine, to provide detailed sample information
and behavior analysis. Now in this release, you can search for sessions
and their associated samples within AutoFocus to view the WildFire
analysis details. You can also filter the contents of your dashboard
based on an upload source to create reports with greater specificity. While
Magnifier has been re-branded as Cortex XDR, some of the legacy
session data recorded during the Magnifier operating period (and
up to 7/13/2020) remains classified as Magnifier; however, Cortex
XDR began recording session data starting on 4/7/2020, resulting
in a session data overlap. You can configure an AutoFocus search
to produce results from both upload sources to get the combined
dataset. ![]()
For
more information about the concepts referenced in this feature,
refer to: AutoFocus Search |