How does
DarkTrace
Use AI?
Improves threat detection speed and accuracy
Project Overview
Detecting anomalous process chains in real time using a multistage classifier.
Layman's Explanation
Imagine your computer starts acting weird, one program quickly opens another, then another, like dominoes falling. This tool watches those domino patterns and says, “Hmm, that’s not normal,” catching cyber threats before they cause damage.
Details
Darktrace developed a multistage classifier to detect rapid, unusual sequences of processes (called process chains) that are commonly seen in cyber-attacks like ransomware. Traditional rule-based systems struggle with such fast-changing threats, but this AI approach analyzes behavior patterns in real time, using both context and a layered evaluation to flag abnormal activity. The classifier identifies patterns indicative of malicious behavior even when the individual actions may seem benign in isolation, reducing false positives and increasing threat detection efficiency.
Analogy
It’s like having a bouncer who doesn’t just check IDs at the door, but watches how someone moves through the club, if they rush from room to room acting shady, they get flagged.
Machine Learning Techniques Used
More Use Cases in
Technology
Novelty Justification
Multistage classifiers for cyber anomaly detection are advanced, with DarkTrace a recognized innovator.
Project Estimates
