A working library of security explainers. Each topic starts with what the failure mode is in plain language, why it matters for your business, and what an attacker actually does. The technical detail follows for readers who want to go deeper.
Penetration Testing
The fundamentals. What a pentest is, how it differs from other security activities, the methodology stages, and what a useful report contains.
AI Security
Attacks against LLM-backed applications: prompt injection, RAG poisoning, jailbreaking, model extraction, agentic-system risks, training poisoning, and the OWASP LLM Top 10 (2025).
- OWASP LLM Top 10 (2025): Every Risk Explained
- What is Prompt Injection?
- What is Indirect Prompt Injection?
- What is LLM Jailbreaking?
- What is RAG Poisoning?
- What is Model Extraction?
- What is Agentic AI Security?
- What is Training Data Poisoning?
- What is AI Red Teaming?
- LLM Output Validation: Defense Patterns That Actually Work
Application Security
How web applications get compromised, and the architectural decisions that prevent it. The most common flaw classes still drive most modern breaches.
Cloud Security
How cloud environments actually get compromised in 2026: not by zero-days in the cloud provider, but by misconfigured IAM, instance metadata abuse, leaky storage, and pivot paths through Kubernetes.
API Security
Modern applications are mostly APIs with a thin user interface on top. The attack surface moved with them.
References
- [1]OWASP GenAI Security Project(OWASP)
- [2]MITRE ATT&CK(MITRE)
- [3]MITRE ATLAS(MITRE)