The new functionality provides administrators with rapid response tools to remediate Microsoft Teams threats directly within the platform, significantly reducing security teams’ mean time to respond. Teams Protection’s new auto-remediation feature addresses the fear of harmful content going undetected within Microsoft Teams. It warns users of malicious messages and empowers administrators to quickly address threats directly from a central, cloud-based Control Panel.
Granting Administrators instant control and remediation measures
Teams Protection scans all Teams messages containing URLs and instantly issues a warning message in the conversation when it detects a suspicious link. Administrators then gain control, allowing them to manage all detected threats to their Teams tenant directly within the Control Panel.
Administrators can delete entire conversations containing malicious messages and prevent their senders from logging into Teams. They can also utilize the Auto-Remediate feature which automatically deletes chats where a malicious message has been found.
Key benefits include:
● An automated way to detect suspicious Teams messages received by end-users
● The ability for IT administrators to intervene in a conversation or even block a user to contain a threat.
● Protection for end users by identifying suspicious URLs within Teams messages and warning them about this
● Help for customers to better protect their tenant by warning of suspicious messages through a dedicated bot.
As part of Hornetsecurity’s AI Cyber Assistant, Teams Protection utilizes AI technology to provide optimal, ever-evolving protection:
● Smart patterns analyse key features of URLs and pages to identify malicious content.
● Machine learning algorithms analyse more than 47 characteristics of URLs and web pages, scanning for malicious behaviours, obfuscation techniques, and URL redirects.
● Deep learning: Computer Vision models analyse images to extract relevant features used in phishing attacks, including brand logos, QR codes, and suspicious textual content embedded within images.
