Deep Instinct
Auto glass distributer chooses Deep Instinct for explicit ransomware prevention after their current endpoint solution fails to detect an attack
Summary
A U.S.-based auto glass distributor, after experiencing a ransomware attack and finding its traditional antivirus ineffective, implemented Deep Instinct's Threat Prevention Platform to safeguard its e...
Value Drivers
Challenges
- Organization suffered a ransomware attack that bypassed its existing traditional antivirus solution (MalwareBytes)
- Lack of real-time visibility into operations
- Difficulty in scaling current infrastructure
2 more challenges available
Solutions
- Deployment of Deep Instinct Threat Prevention Platform across 100 Windows endpoints
- Deployed real-time monitoring and analytics platform
- Migrated to cloud-based scalable infrastructure
- Modernized legacy systems with new technology stack
3 more solutions available
Outcomes
- Detection of dormant WannaCry ransomware and 11 malicious files within first week of deployment
- Achieved 24/7 real-time visibility and monitoring
- Successfully scaled operations to support 3x growth
- Decreased operational costs by 40% annually
- Improved data accuracy and accessibility by 85%
4 more outcomes available
Products
Software
Deep Instinct Threat Prevention Platform
A deep learning-powered cybersecurity platform focused on preventing known, unknown, and zero-day threats across endpoints.
Sample Category
Sample Product 2
Sample product description for demonstration purposes.
Sample Category
Sample Product 3
Sample product description for demonstration purposes.
2 more products available
Target Organization
U.S.-based auto glass distributor
Description: An SMB engaged in the distribution of auto glass products, operating in the United States.
Industry:Distribution