Red teaming LLM applications requires fundamentally different techniques than traditional penetration testing. This playbook covers the complete methodology: reconnaissance, attack execution across 5 categories, advanced adversarial ML techniques, and a reporting framework for AI security assessments.
Post-quantum cryptography is no longer a research-only topic. With NIST's first PQC standards finalized and organizations facing long-term risks such as harvest-now, decrypt-later, cyber teams need to understand how PQC affects PKI, TLS, code signing, firmware trust, crypto agility, and migration planning. This guide explains what PQC is, where QKD fits, how hybrid deployments work, and what defenders should prioritize first.
Post-quantum crypto migration is just the beginning. Crypto agility strategies to survive future cryptographic transitions.
AI supply chain attacks introduce entirely new attack vectors: poisoned training data, compromised base models, malicious plugins, and model extraction. This guide covers the full spectrum of attacks with real case studies and a practical security framework.
A practical guide to software supply chain security covering dependency risks, secrets exposure, CI/CD trust failures, artifact integrity verification, SBOM management, and real-world attack case studies.
Prompt injection is the SQL injection of the AI era. In 2026, direct injection, indirect injection, and jailbreaking techniques are evolving rapidly. Learn real-world case studies, from Bing Chat's "Sydney" incident to SEO manipulation via AI summarizers, and proven defense strategies.
A comprehensive guide to SSH to VPS security pentesting covering practical attack scenarios, validation commands, real-world case studies, and hardening steps for Linux infrastructure.
How identity became the new perimeter in modern cybersecurity. Explore MFA bypass techniques, OAuth consent phishing, device code attacks, token theft, and defense strategies for identity-centric security.
How AI models get stolen through extraction and distillation attacks. Explore techniques, defenses, and real-world ML security case studies.
The OWASP Top 10 for Agentic Applications defines the most critical security risks for autonomous AI agents in 2026. From prompt injection and tool hijacking to supply chain poisoning and multi-agent attacks, this comprehensive guide covers every vulnerability with real attack scenarios and proven defense strategies.
A practical analysis of API security authorization flaws behind modern breaches. Covers BOLA, BFLA, IDOR, mass assignment, shadow APIs, and defense strategies for API-first architectures.
Comprehensive guide to securing login and registration systems. Covers authentication vulnerabilities, brute-force protection, session management, CAPTCHA implementation, and security best practices.