Quantum Autoencoder for Multivariate Time Series Anomaly Detection

Anomaly Detection AD defines the task of identifying observations or events that deviate from typical - or normal - patterns, a critical capability in IT security for recognizing incidents such as system misconfigurations, malware infections, or cyberattacks. In enterprise environments like SAP...

Blockchain Meets Adaptive Honeypots: a Trust-Aware Approach to Next-Gen IoT Security

Edge computing-based Next-Generation Wireless Networks NGWN-IoT offer enhanced bandwidth capacity for large-scale service provisioning but remain vulnerable to evolving cyber threats. Existing intrusion detection and prevention methods provide limited security as adversaries continually adapt the...

Detecting Zero-Day Web Attacks with an Ensemble of LSTM, GRU, and Stacked Autoencoders

The rapid growth in web-based services has significantly increased security risks related to user information, as web-based attacks become increasingly sophisticated and prevalent. Traditional security methods frequently struggle to detect previously unknown zero-day web attacks, putting sensitiv...

The vulnerability of the biometric authentication function in Windows Hello on Windows operating systems allows attackers to perform spoofing attacks.

The vulnerability of the biometric authentication function in Windows Hello on Windows operating systems is related to insufficient detection or processing of adversarial input anomalies. Exploiting this vulnerability can allow attackers to perform spoofing attacks...

The vulnerability of the Citrix NetScaler Application Delivery Controller (previously Citrix ADC) and the Citrix NetScaler Gateway (previously Citrix Gateway) access control systems, related to behavior anomaly detection, allows attackers to gain unauthorized access to limited functions.

The vulnerability of the Citrix NetScaler Application Delivery Controller previously Citrix ADC and the Citrix NetScaler Gateway previously Citrix Gateway access control system is related to the violation of expected behavior. Exploiting this vulnerability can allow an attacker, operating remotel...

NHIs Are the Future of Cybersecurity: Meet NHIDR

The frequency and sophistication of modern cyberattacks are surging, making it increasingly challenging for organizations to protect sensitive data and critical infrastructure. When attackers compromise a non-human identity NHI, they can swiftly exploit it to move laterally across systems,...

How AI Is Transforming IAM and Identity Security

In recent years, artificial intelligence AI has begun revolutionizing Identity Access Management IAM, reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that coul...

Context is King: Using API Sessions for Security Context

There’s no doubt that API security is a hot topic these days. The continued growth in API-related breaches and increase in publicized API vulnerabilities has pushed API security to the top of CISO’s lists. The tools in the market for API security still have room for improvement, of course. One of...

Understanding the Initial Stages of Web Shell and VPN Threats: An MXDR Analysis

While cyberattacks that employ web shells and VPN compromise are not particularly novel, they are still prevalent. The recent incidents that Trend Micro MXDR analyzed highlight the importance of behavioral analysis and anomaly detection in security measures...

The Rise of Zero-Day Vulnerabilities: Why Traditional Security Solutions Fall Short

In recent years, the number and sophistication of zero-day vulnerabilities have surged, posing a critical threat to organizations of all sizes. A zero-day vulnerability is a security flaw in software that is unknown to the vendor and remains unpatched at the time of discovery. Attackers exploit...

5 Steps to Boost Detection and Response in a Multi-Layered Cloud

The link between detection and response DR practices and cloud security has historically been weak. As global organizations increasingly adopt cloud environments, security strategies have largely focused on "shift-left" practices—securing code, ensuring proper cloud posture, and fixing...

True Protection or False Promise? The Ultimate ITDR Shortlisting Guide

It's the age of identity security. The explosion of driven ransomware attacks has made CISOs and security teams realize that identity protection lags 20 years behind their endpoints and networks. This realization is mainly due to the transformation of lateral movement from fine art, found in APT...

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 todays data-driven landscape. At Imperva Threat Research, our data lake serves as the backbone for a range of critical functions, including threat hunting, risk analysis, and trend detection. However...

Securely Build AI/ML Applications in the Cloud with Rapid7 InsightCloudSec

It’s been little over a year since ChatGPT was released, and oh how much has changed. Advancements in Artificial Intelligence and Machine Learning have marked a transformative era, influencing virtually every facet of our lives. These innovative technologies have reshaped the landscape of natural...

Rapid7 Introduces AI-driven Cloud Anomaly Detection

It’s that time of year again! AWS Re:Invent, Amazon Web Services’ annual mega-conference will soon kick off in Las Vegas and there are sure to be a ton of new cloud security innovations unveiled throughout the week. From a Rapid7 perspective, we’re launching an exciting new capability - Cloud...

Rapid7 Introduces AI-driven Cloud Anomaly Detection

It’s that time of year again! AWS Re:Invent, Amazon Web Services’ annual mega-conference will soon kick off in Las Vegas and there are sure to be a ton of new cloud security innovations unveiled throughout the week. From a Rapid7 perspective, we’re launching an exciting new capability - Cloud...

EDR vs MDR vs XDR

In the realm of security measures within the digital expanse, we recurrently stumble upon designations, namely, EDR Endpoint Detection and Response, MDR Managed Detection and Response, and XDR Extended Detection and Response. These abbreviations express singular methodologies fashioned to augment...

Anomaly detection in certificate-based TGT requests

One of the most complex yet effective methods of gaining unauthorized access to corporate network resources is an attack using forged certificates. Attackers create such certificates to fool the Key Distribution Center KDC into granting access to the target companys network. An example of such an...

The Battle Against Business Logic Attacks: Why Traditional Security Tools Fall Short

As the digital landscape continues to evolve, so do the tactics utilized by bad actors that are seeking to exploit application vulnerabilities. Among the most insidious types of attacks are business logic attacks BLAs. Unlike known attacks, which can be identified by signatures or patterns, such ...

Introducing Integrated API Abuse Prevention to Combat Bad Bots

In recent years theres been a rise in "API Abuse" attacks, which includes detrimental automated behaviors such as malicious bots, account takeover ATO, credential stuffing, application layer L7 DDoS, data scraping, and more. For instance, in April-2021 malicious actors scraped the personal data o...