As cyber threats become increasingly sophisticated, security teams must adopt scalable and repeatable practices to maintain a robust defense posture. Azure...

  With the Cybersecurity Maturity Model Certification (CMMC) program taking effect on December 16, 2024, per the 32 CFR rule, the Defense Industrial...

Cordyceps exposed a CI/CD weakness in GitHub Actions where individually valid workflows combined into exploitable privilege chains, leaving many “green” pipelines vulnerable despite passing scans. The article highlights real cases at Microsoft, Google, and Apache, and argues that AI-generated workflows are accelerating governance gaps that scanners alone cannot catch. #Cordyceps #Microsoft #AzureSentinel #Google #Apache #GitHubActions

In the rapidly evolving landscape of cloud security, the sophistication of threat actors grows continually. As defenders, we must find ways to stay ahead of adversaries by leveraging the full potential of our security orchestration tools. Among these, Azure Sentinel is a cloud-native solution combining advanced analytics, machine learning, custom threat hunting, and robust integration capabilities—all within a single platform. We will explore advanced strategies beyond the basics of Azure Sentinel usage.

Executive Summary AI agents need identity and trust just like humans. In this article, we demonstrate a zero-trust approach to autonomous AI agents by...

Discover how to maximise your free data ingestion benefit in Azure Sentinel using Defender for Server Plan 2 for enhanced security monitoring.

Sharing my KQL queries for Azure Sentinel. Contribute to Cloud-Architekt/AzureSentinel development by creating an account on GitHub.

Across the security industry, the year 2026 is shaping up to be an inflection point. Threat surfaces are expanding faster than human analysts can understand them; cloud environments now reconfigure themselves thousands of times per hour; and the velocity of identity-based attacks has reached a scale only automation can match. Legacy SIEM models—built on manual investigation, static playbooks, and analyst-driven workflows—are becoming insufficient to keep pace with the tempo of cloud-native threats.