Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Artificial Intelligence (AI) is no longer just a tool—it is a game changer in our lives, our work as well as in both cybersecurity and cybercrime. While organizations leverage AI to enhance defences, cybercriminals are weaponizing AI to make these attacks more scalable and convincing .

Microsoft warns that a widespread malvertising campaign hit nearly one million devices around the world. The campaign, which began on illegal streaming sites, impacted both consumer and enterprise devices across a wide range of industries. “Analysis of the redirector chain determined the attack likely originated from illegal streaming websites where users can watch pirated videos,” Microsoft says.

Cybersecurity has advanced beyond the reliance on firewalls and antivirus software. As cyber threats become more sophisticated and unpredictable, traditional security tools alone are no longer enough. Modern attacks exploit unknown, unmanaged, and overlooked assets, making Attack Surface Management (ASM) essential for a proactive and comprehensive defense.

Sysdig’s 2025 Cloud-Native Security and Usage Report identifies promising trends in how organizations are developing, using, and maintaining everything within their cloud environments. The eighth annual report shares the results of an analysis of millions of containers and cloud accounts. This year’s findings reveal several key areas that have improved, including cloud threat detection and response, AI security, and vulnerability management.

Apache Tomcat recently disclosed a critical security vulnerability, CVE-2025-24813, affecting several versions of its widely used servlet container. This vulnerability arises from improper handling of path equivalence checks involving filenames with internal dots (file…txt). Exploitation could result in unauthorized information disclosure, file manipulation, and even remote code execution (RCE).

Silk Typhoon shifts its tactics, threat actors target executives with physical ransom notes, and hackers use the ClickFix trick to deploy a modified Havoc Demon agent.

Privileged access management (PAM) is the cornerstone of data security and operational efficiency. A well-structured PAM strategy not only reduces the risk of security threats but also enhances IT processes and productivity in an organization. However, implementing an effective PAM strategy requires a comprehensive approach.

Update: This issue was discovered and disclosed independently to Keras by JFrog’s research team and Peng Zhou. Machine learning frameworks often rely on serialization and deserialization mechanisms to store and load models. However, improper code isolation and executable components in the models can lead to severe security risks. The structure of the Keras v3 ML Model in TensorFlow.

Why You Need to Take Back Control of User Access Now!