Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Threat Intelligence for Multi-Cloud Environments & ICSs

Almost every organization is in the cloud. In fact, most organizations above a certain size are in more than one. As multi-cloud becomes more common, however, ensuring security among multiple providers becomes more challenging. Being aware of these logistical challenges goes a long way toward planning around them. One of the best ways to do this is to deploy a comprehensive multi-cloud threat hunting strategy.

Wallarm AI Engine: How It Works

The main task of the run-time application security is to protect modern applications and APIs. In this endeavor the solutions face a number of challenges: Download this whitepaper to learn how Wallarm solves the difficult task of effective application security by relying on AI and machine learning including a unique combination of hierarchical clusterization, statistical n-gram based models, recurrent neural networks and reinforcement learning.

Evolution of Real Time Attack Detection

Attack detection is critical for most security solutions, whether we are talking about a load balancer-based (NIDS, WAF), host-based or in-application solutions (HIDS, RASP). Interestingly, regardless of the differences in architecture and data flow, most solutions use similar detection principles and techniques. We will explore how the detection architecture evolved over time and how the new generation of detection logic, such as the architecture implemented by Wallarm, is principally different from that of the legacy solutions.

Navigate Your Hybrid Cloud Journey with Opti9

According to the FBI's Internet Crime Report, businesses suffered a $6.9 billion loss due to cybercrimes in 2021. This resulted in a loss of revenue, reduced customer trust, and expensive compliance penalties for thousands of organizations across the states. So the question is no longer why you should move to the cloud, but when and how?