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|Tripwire's Vulnerability Management Solution Awarded 5-Star Review from SC Media
|Posted: Thu Jun 20, 2019 04:33:47 PM
Tripwire® IP360™ given best possible rating by SC Lab testers
PORTLAND, Ore. – June 20, 2019 – Tripwire, Inc., a leading global provider of security and compliance solutions for enterprises and industrial organizations, today announced that its vulnerability management solution Tripwire® IP360™ received a five-star rating by SC Media.
“Tripwire helps protect the world’s largest companies from cyberattacks by helping them build a strong foundation of the most critical cybersecurity controls,” said Tim Erlin, vice president of product management and strategy. “Vulnerability management is absolutely essential for any organization looking to reduce cybersecurity risk, and it’s exciting to see our vulnerability management solution, Tripwire IP360, rated five out of five stars in an independent review by SC Media.
In the review, SC Media stated, “Tripwire offers protocol, application, and vulnerability detection with low false positive rates for an accurate, efficient, and comprehensive understanding of your environment.” Five stars were given in each of the categories: features, value for money, support, documentation, performance and ease of use.
Tripwire IP360 is an enterprise-class vulnerability and risk management solution that cost-effectively reduces cyberthreat risk by focusing remediation efforts on the highest risks and most critical assets. The solution is built upon a scalable architecture that delivers risk-based vulnerability assessment across modern hybrid infrastructure – including data centers, private clouds and public clouds – with support for container environments and DevOps toolchains.
Tripwire will be releasing additional enhancements to its vulnerability management capabilities. Tripwire IP360 version 9.1.0 will feature a new integrated user interface, improved offline agent data collection, enhanced security features, improvements to support robust configuration, and new capabilities for assessing data at rest.