Advanced Threat Protection for Zendesk Launched by Perception Point

Perception Point, a leading provider of AI-powered cybersecurity solutions, has announced the launch of its advanced threat protection, specifically dedicated to Zendesk services. The solution was developed to protect customer service communications, integrations and cloud applications from cyberattacks and malicious code. The product enables Zendesk customers to add an extra layer of security for their customer service communications, ensuring that their users’ private data and documents are safe. The advanced threat protection for Zendesk combines Perception Point’s AI-powered technology with behavior-based detection, automation, and prevention capabilities. This intelligent solution is designed to detect, investigate and prevent threats in real time, for maximum protection. The solution provides advanced threat protection for Zendesk services, continuously scanning for suspicious content, malicious code, dynamic and static file analysis, and notifications of new code deployments. It also allows for automated malware and ransomware reports, actionable insights, and enhanced security for user credentials. Additionally, customers benefit from seamless integration with Zendesk, improved incident response, visibility into malicious activities, and better security compliance. The advanced threat protection for Zendesk is part of Perception Point’s secure platform, which leverages machine learning to detect and prevent security threats in real time. The company’s technology is backed by a 24/7 customer support team, providing superior security and a worry-free customer experience. With the launch of this advanced threat protection for Zendesk, Perception Point is making customer service and cloud applications more secure, while helping users to protect their sensitive data from potential cyberattacks. The technology provides automated, AI-powered protection from malicious code and ransomware, providing organizations with peace of mind.

This Cyber News was published on www.csoonline.com. Publication date: Mon, 23 Jan 2023 18:57:29 +0000


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