i-COR is a collection of security engines and microservices that optimize your existing SIEM, SOAR,
and other cybersecurity tools. It eliminates false positives, dramatically lowers the volume of data ingested by your SIEM, automates investigation, and saves you money.
Think your organization’s security could –
and should – be more efficient?
So do we.
If you’re looking to replace your
SIEM or are looking for your first
SIEM
If you’re looking for an “all-in-one” easy
solution including SIEM,
SOAR and EDR
i-COR makes your existing security tools better,
faster and more efficient.
Significantly reduces the cost of your data
consumption-based SIEM license.
Streamlines the SOC operations of your existing SIEM, reduces time to detect, investigate & respond.
Provides immediate and accurate response by
triggering your existing SOAR playbooks only for
entities that are at top risk.
No more hundreds of tickets to handle. Improves
the efficiency of your existing ticketing systems
by issuing and updating the most relevant and
accurate security tickets.
Rich APIs allow your SOC to integrate with the
system’s data for in-depth forensics investigation
and automation use cases.
empow’s data connectors collect all types of IT data from a wide diversity of endpoint & network-based security tools, user and network behavioral logs, including on-prem & cloud data sources.
At the core of empow’s technology is an AI based correlation engine that leverages Belief and Bayesian models to automatically correlate logs, including through cause-and-effect relationships. This automates the process of root-cause and triage analysis as well as predicting the attacker’s next steps, and clustering the logs into only a few real attack stories. The result is a graphical time-based representation of real attacks and prioritized entities that are at top risk.
empow’s NLP-based threat classification center continuously collects threat intelligence from multiple commercial and open threat centers and enriches the logs with it. It then uses the power of NLP to automatically and continuously classify the logs into potential attack behaviors represented by attack techniques, tactics, malicious software and other parameters, representing the logs one language of ATT&CK.
Read more in our AI White Paper.
User activity logs are processed by empow’s UEBA, which establishes normal behavioral profile patters and flags deviations which reflect potential attack behaviors.
Read more in our UEBA White Paper.
empow’s DPI network sensors feed the network traffic analytics module, which learns the normal traffic patterns between hosts within the organization and flags anomalies that reflect both known and unknown potential attack behaviors.
Read more in our NTA White Paper.
Request a SaaS Trial
empow provides a cloud-based 14 day trial with your data, so you can experience the technology and its benefits first-hand