Traditional Intrusion Detection Systems (IDS) cannot cope with the increasing number and
sophistication of cyberattacks such as Advanced Persistent Threats (APT). Due to their high …

Data is a valuable asset for the success of business and organizations these days, as it is
effectively utilized for decision making, risk assessment, prioritizing the goals and …

Endpoint Detection and Response (EDR) tools provide visibility into sophisticated intrusions
by matching system events against known adversarial behaviors. However, current solutions …

System auditing provides a low-level view into cyber threats by monitoring system entity
interactions. In response to advanced cyber-attacks, one prevalent solution is to apply data …

To subvert recent advances in perimeter and host security, the attacker community has
developed and employed various attack vectors to make a malware much stealthier than …

Cyber threat intelligence (CTI) is being used to search for indicators of attacks that might
have compromised an enterprise network for a long time without being discovered. To have …

As the Internet of Things (IoT) continues to proliferate, diagnosing incorrect behavior within
increasingly-automated homes becomes considerably more difficult. Devices and apps may …

Large enterprises are increasingly relying on threat detection softwares (eg, Intrusion
Detection Systems) to allow them to spot suspicious activities. These softwares generate …

The success of deep learning (DL) techniques has led to their adoption in many fields,
including attack investigation, which aims to recover the whole attack story from logged …

The increasingly sophisticated Advanced Persistent Threat (APT) attacks have become a
serious challenge for enterprise IT security. Attack causality analysis, which tracks multi-hop …