Next Generation Network Intrusion Detection
Powered by patented machine learning and speculative execution technologies, BluVector enables organizations to minimize the risk of costly cyber incidents by accurately identifying advanced attacks designed to avoid anti-virus, mask malicious behaviors in sandbox detection and subvert traditional network defenses. Abilities that other Network Intrusion Detection Systems (NIDS) don’t offer.
|Fileless Malware – Known threat|
|File-Based Malware – Known threat|
|Fileless Malware – Unknown threat|
|File-Based Malware – Unknown threat|
|Credential & Password Compromise|
|XSS, SQL Injections|
|Brute Force Scanning|
Patented Zero-Day Detection
In 2017, BluVector was issued the patent for “System and Method for Automated Machine Learning, Zero-day Malware Detection” (U.S. Patent 9,665,713). BluVector is the first company to obtain this type of patent in the cybersecurity industry.
Proven Zero-Day Protection
BluVector would have detected even the most elusive threats an average of 13 months before the signature was written.
Earlier Detection in the Kill Chain
Maximizing Productivity, Minimizing TTD
Outperforming the Competition
|without BluVector||with BluVector|
20 Hours per incident
4 Hours per incident
|~$1740 per incident||~$348 per incident|
Detection of 1 new targeted/variant threat every 2 days (est. 620 advanced threats evade current tools annually)