Cloud Security
Configuration Drift Mechanics: How Security Posture Decays Over Time
Security gaps emerge not from initial errors but from the slow, cumulative divergence between your intended policy and the live state of your infrastructure.
Everything Malware Chronicle has reported about cloud security: 12 stories, newest first. Part of our Cloud Security coverage.
Security gaps emerge not from initial errors but from the slow, cumulative divergence between your intended policy and the live state of your infrastructure.
Amazon GuardDuty now combines signals from Inspector, Macie, and Security Hub into critical-severity findings for EC2, ECS, and EKS environments.
The unified kill chain merges separate security models into one view, exposing how attackers pivot between cloud and local systems to bypass isolated defenses.
CI/CD accelerates delivery but often bypasses security checks, while DevSecOps embeds verification directly into the build process to catch flaws early.
Single sign-on shifts the attack surface from password storage to session management, requiring strict token validation and conditional access policies.
Scanning code reveals configuration errors but misses runtime behavior, meaning static checks alone cannot guarantee a secure cloud environment.
Modern phishing campaigns rely on legitimate cloud services and dynamic content, rendering static domain blacklists largely ineffective for detection.
Virtual machines provide hardware-level isolation that stops code escapes, while containers share the host kernel, creating a smaller footprint but a wider attack surface.
Microsegmentation stops lateral movement by enforcing strict access controls between individual workloads, not just at the network perimeter.
Most small businesses lose track of cloud resources because automation creates assets faster than humans can log them.
A container escape breaches the host kernel, turning a contained process into a full system compromise that requires immediate host isolation.
Transform security rules into executable code to catch configuration errors before they reach production, reducing manual review time.