Behavioral Analytics Cybersecurity. Human intelligence at machine scale

Resembling the evidence you can find at a crime scene, cyberattacks leave traces too, only more subtle. The tracks we identify in the form of machine data are faint and can disappear in the noise or change over time. An analyst could easily find them, but the volume is far too great for humans to process it in due time.

This is why ITrust developed Reveelium

APT(S) AND TARGETED THREATS ARE THE NEW NORMAL

With threats exploiting zero-day vulnerabilities or legitimate insider access, it’s only a matter of time until

defenses are breached. Knowing everything that happens, at the exact moment it is happening, is the first step in fighting back to defend your perimeter.

CURRENT SECURITY “SOLUTIONS” ARE FAILING AT THEIR JOB

Signatures databases, pattern recognition, sandboxes, IDS… – they all get outsmarted by attacks that phish, listen, hide and morph. Event logging systems have all the information, but can’t connect the dots.

HUMANS ARE SMART, BUT IN OVER THEIR HEADS.

Security tools cannot be as selective and, more often than not, hand over potential anomalies to human judgement.

This is why analysts everywhere are overwhelmed and attackers win.

Oodles of data processed in real time.

Reveelium analyzes billions of system events and logs, in real time, on a daily basis. It can identify occurring anomalies in a system’s behavior and determine which ones are most likely to take shape of security threats.

• Leverages existing security infrastructure
• Detects unknown threats
• Allows security analysts to review and follow-up on qualified alerts

Highly Sensitive & Highly Selective

Reveelium’s analytical algorithms combine advanced statistical analysis, machine learning and correlation rules to create and continuously update normal behavior profiles for entities such as users, devices and applications.

Detecting and evaluating deviations arising from these profiles enables Reveelium to unveil hidden attacks while keeping false positives low.