anomaly detection
Anomaly Detection at Scale: Machine Learning Approaches for Enterprise Data Monitoring
Anomaly detection involves methods that assist in identifying data points or occurrences that differ from the anticipated behavior patterns ...
What a mesh — GNNs in cybersecurity
What a mesh — GNNs in cybersecurityWhy graph-based Deep Learning has not lived up to its promiseIn this blog, I dive into a technology that has recently been among the most hyped, and most disappointing, ...
Why isn’t anomaly detection well-regarded in Cyber Security?
Anomaly detection has long been viewed as a promising approach to indicating potential cybersecurity attacks. With the sheer volume of logs, alerts, and network traffic, the task of identifying unusual activity is ...
MixMode: Revolutionizing Threat Detection and Prioritization in Cybersecurity
Enter MixMode. The MixMode Platform is a cutting-edge cybersecurity solution that is changing the game in threat detection and prioritization. The MixMode Platform offers a powerful alternative to traditional security tools by ...
Threat Hunting Powered by Efficient and Straightforward Anomaly Detection on Your Data Lake
Effective monitoring and anomaly detection within a data environment are crucial, particularly in today’s data-driven landscape. At Imperva Threat Research, our data lake serves as the backbone for a range of critical ...
How Process Automation Can Help Streamline Security
Process automation is one of the most effective strategies businesses can use to enforce a security-centric culture ...
Detecting Cloud Ransomware with DSPM Anomaly Detection
Introduction Machine-learning (ML) based, anomaly detection systems can enhance ransomware defenses by modeling the behavior of cloud identities (user, group, roles) as they interact with data stores such as AWS S3, GCP ...
Red Sift Taps GPT-4 to Better Identify Cybersecurity Threats
Red Sift today announced it is employing the GPT-4 generative artificial intelligence (AI) platform via a Relevance Detection capability to better determine whether a suspicious online entity should be monitored. Previously, Red ...
Process Monitoring: Detect Malicious Behavior in Your Containers
The default pod provisioning mechanism in Kubernetes has a substantial attack surface, making it susceptible to malevolent exploits and container breakouts. To achieve effective runtime security, your containerized workloads in Kubernetes require ...
Better Anomaly Detection Is Key to Solving the False Positive Problem Once and for All
Keeping up with security alerts can be a Herculean task without the right tools on board. Security teams face more than 11,000 alerts per day on average, according to industry analysts — ...
