PreCrime by BforeAI
Predict and block cyberattacks before they occur
Target Audience
- Financial institutions
- Manufacturing companies
- Retail corporations
- Government agencies
Hashtags
Overview
PreCrime uses AI-powered predictive analytics to stop phishing, ransomware, and online fraud 18 days faster than traditional security tools. It automatically monitors 500 million domains for suspicious activity and initiates takedowns before attacks launch. The system integrates with existing security infrastructure to protect brands from financial/reputational damage without requiring manual intervention.
Key Features
Predictive Defense
Identifies threats 18 days before competitors detect them
Auto-Takedowns
Automatically disrupts phishing campaigns in progress
EDR Integration
Works with CrowdStrike, Microsoft Defender, and others
Domain Monitoring
Tracks 500M+ domains for spoofing/impersonation attempts
24/7 Protection
Continuous threat detection with 98% coverage accuracy
Use Cases
Prevent phishing scams
Stop brand impersonation
Block ransomware attacks
Reduce financial fraud
Monitor domain spoofing
Pros & Cons
Pros
- Detects threats weeks before traditional tools
- 98% domain coverage with <0.05% false positives
- Seamless integration with existing EDR systems
- Fully automated 24/7 operation
Cons
- Primarily targets enterprise-level organizations
- Requires existing threat intelligence infrastructure
Frequently Asked Questions
How does PreCrime differ from traditional EDR?
Focuses on preventing attacks before they occur rather than detecting active threats
What's the false positive rate?
Less than 0.05% false positive rate across monitored domains
Is technical expertise required?
Works out-of-the-box with automated threat remediation
Integrations
Reviews for PreCrime by BforeAI
Alternatives of PreCrime by BforeAI
Shield businesses from evolving cyber threats with AI-powered protection
Detect payment fraud risks in real-time to prevent financial losses
Automate financial crime detection with AI-powered compliance
Block automated fraud while preserving user privacy