Stay Ahead of the Threat
Don’t just respond to breaches. Stay ahead of advanced threats with BluVector’s patented and proven machine learning technology.
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)
See it in action. Schedule a demo.
Learn more about cyber attack detection:
With the release of BluVector 3.0, customers now have the ability to detect the “invisible threat” – fileless malware – with the market’s first and only network based Speculative Code Execution engine. Additional features offer a range of capabilities including VM support, enhanced reporting and visualizations, as well as a redesigned central management capability that provides both mid-market and enterprise customers to expand visibility deeper inside their network.
The process of forensic analysis can be a tedious one, at best. Generally, an analyst must collect all logs surrounding an event and use a set of scripts and queries to identify those entries which are relevant to the investigation. Starting with version 3.0, BluVector has enhanced its targeted logging function to go beyond the collection and correlation of relevant network log entries (the HTTP header, HTTP log, DNS log, etc.)
Fileless malware, also called the invisible threat, is particularly hard to detect because it resides in system RAM and exploits authorized system and administrative tools in ways that elude whitelisting and other common mitigation strategies.