Machine Learning for Cybersecurity
Cybersecurity That Outsmarts Hackers
Silencer Technology That Stays a Step Ahead
AgileBlue’s machine learning performs a predictive review of data to answer a question of “how rare/anomalous” an action is by correlating multiple metrics. We generate a score for items found based on the difference of the model and what had occurred. Our platform then combines user behavior analytics to complement each machine learning job and autonomously generate intelligent incidents with a 95% confidence score. AgileBlue’s platform uses a proprietary technology called the Silencer to identify and close out false positives determined by characteristic matches. We leave no vulnerability unchecked.
A Cybersecurity essential
Take Your Security to the Next Level
Aside from the benefits detailed above Machine Learning provides the following in critical factors in cyber security:
1. Detect malicious activity and stop attack
2. Automate repetitive security tasks that are time consuming, expensive and lead to analyst burn out
3. Enhance human analysis with a 90%+ confidence
4. Close vulnerabilities and stop patch exploits before they result in a data breach
5. Correlate and analyze mobile endpoints
Smarter Technology, Faster Threat Detection
Machine Learning updates it’s model automatically as it learns what is anomalous and normal behaviors. Our machine learning engines improves its knowledge to “understand” cybersecurity threats and cyber risk then uses reasoning to identify the relationships between threats, such as malicious files, suspicious IP addresses or insiders. This analysis takes seconds or minutes, allowing security analysts to respond to threats up to 60 times faster.
Save Time, Reduce Risk
Our platform eliminates time-consuming research tasks and automates levels 1-3 of the SOC to provide curated analysis of risks, reducing the amount of time security analysts take to make the critical decisions and launch an orchestrated response to remediate the threat.
Save Time, Reduce Risk
Our platform eliminates time-consuming research tasks and automates levels 1-3 of the SOC to provide curated analysis of risks, reducing the amount of time security analysts take to make the critical decisions and launch an orchestrated response to remediate the threat.