Security Insights
Deep dives, expert analysis, and practical guidance on exposure management, adversarial validation, and the future of AI-driven exposure management.
How to Write an Effective AI Agent Skill: The Four-Layer Architecture
Most teams building AI agents get the ratio wrong: 90% code, 10% methodology. Here is the four-layer architecture Strobes uses to build skills that run complete security assessments autonomously.
Strobes AI: The Agent Stack Specialized for Offensive Security
A deep-dive into the multi-agent architecture behind Strobes AI — 12 purpose-built offensive security agents, the Skills system, Human in the Loop governance, and the architectural properties that make continuous exposure management viable at scale.
How ASPM Protects Cloud-Native Applications from Misconfigurations and Exploits
Cloud-native applications have changed how businesses build and scale software. Microservices, containers, and serverless architectures enable faster and more flexible development, but they also make the environment more challenging to secure. Misconfigurations have quietly become one of the biggest
Beyond the Basics Developing a Risk Driven AI Driven Cloud Native Security Strategy.
The use of clouds has taken a significant step forward beyond workloads and virtual machines. Containers, Kubernetes, microservices, APIs, and serverless functions can be relied upon by modern enterprises to provide a cloud-native architecture. Such environments not only speed up the delivery of sof
Beyond the Basics Developing a Risk Driven AI Driven Cloud Native Security Strategy
Cloud-native architectures bring speed and scalability but also create new risks beyond traditional workloads. Misconfigured APIs, vulnerable containers, and over-permissive access expose enterprises to advanced threats. This blog explains why legacy security tools fall short, how AI-driven strategi