Passively analyze network traffic for evidence of compromise and attempts at compromise across all ports and protocols. Plug in, assign an IP Address and the platform is monitoring in less than an hour.
- Supports 1G/10G platforms
- No complex set up or configuration
- Real-time data collection via network or virtual tap
Analyze Data for Threats
Supervised Machine Learning
Suricata, ClamAV, Yara, Huri, PEScanner, Extractor
- Powered by a machine learning detection engine
- Pre-trained to detect right out of the box
- Delivers 99.1% detection efficacy
- Assess content in real-time as benign or malicious
- Quantitatively measure current and future model performance
- More than 30 file specific classifiers
Build Threat Investigation File
For suspicious events, a threat profile is created. This information helps you understand all the relevant information about this event in one single pane of glass. You will see all the analytics engine results that hit, target logs from 15 minutes pre-and-post event, and any post-secondary analysis results. Work smarter with the threat profile showing you only relevant information in one place.
- Shows all relevant context for potential infection
- Reaction speed reduction
Respond & Report
Integrations with SIEMS like Splunk and QRadar, Endpoint providers like Carbon Black, Threat Intelligence and Sandboxes are just a few examples of how our customers leverage automated response and detailed reporting within their current security ecosystem.
See it in action. Schedule a demo.
Want to learn more? Check these out:
Security vendors are inundating CISOs with products purporting to use artificial intelligence to dramatically improve the accuracy and speed of both threat detection and response. However, much of this messaging is confusing, even misleading. How do you know fact from fiction from enthusiastic marketing? S&R pros should read this Forrester report to understand what is really possible with AI today to take cybersecurity efforts to the next level.
The healthcare industry, like many others, needs to re-examine its threat awareness, network vulnerabilities and malware preparedness. To help, we’re giving you free access to a piece by Gartner called “Simple Lessons You Must Learn From WannaCry.”
WannaCry is just one example in the continuing evolution of malware threats that recently devastated healthcare organizations, causing many IT teams to make a difficult choice, “Do we pay the ransom?
In July 2017, advanced threat detection startup BluVector augmented its machine learning-based analytics engine to detect memory-based attacks in real time. This means the BluVector Network Security Monitoring and Analytics platform leverages a new network emulation technique to identify a broader spectrum of attacks coming from both malicious files and embedded file attacks executed in memory.