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BforeAI Disruption

Predicts & disrupts malicious infrastructure before attacks occur

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BforeAI Disruption Description

BforeAI Disruption is a predictive security platform that identifies and blocks malicious infrastructure before it can be used in cyberattacks. The platform uses PreCrime technology to autonomously predict malicious activity weeks in advance and works with cybersecurity partners to disrupt harmful domains, IPs, and infrastructure. The platform operates through a three-step process: predicting attacks before they reach targets, preemptively disrupting threats by sending predictions to partner networks who block attacks within minutes, and measuring impact through effectiveness scores. The system disrupts approximately 4,500 infrastructures per month, with one disruption occurring every 10 minutes. Unlike traditional takedown approaches that can take days or weeks, the disruption method blocks threats at the source within as little as 7 minutes. The platform reduces threat exposure for customers, supply chains, employees, and third parties by limiting network traffic to malicious infrastructure. The solution integrates with existing security tools to extend defenses without replacement. It includes automated infrastructure takedown services and predictive threat intelligence feeds. The platform is backed by a PreCrime Guarantee in partnership with Munich Re, covering up to 10x the service contract amount for costs incurred due to prediction mistakes. BforeAI Disruption is designed for financial services and organizations seeking to prevent brand abuse, reduce attack volume, and avoid expensive damage and downtime through preemptive security measures.

BforeAI Disruption FAQ

Common questions about BforeAI Disruption including features, pricing, alternatives, and user reviews.

BforeAI Disruption is Predicts & disrupts malicious infrastructure before attacks occur developed by BforeAI. It is a Attack Surface solution designed to help security teams with Brand Protection, Threat Intelligence, Threat Detection.

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