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.
Zero Trust for AI systems requires rethinking identity, data flows, and access control. Learn the five pillars of AI Zero Trust — identity verification, input validation, least privilege, monitoring, and encryption — with practical architecture patterns and implementation roadmap.
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.
Model Context Protocol (MCP) is an open standard enabling AI assistants to communicate with external tools and data sources seamlessly. Learn how MCP works, its architecture, and why it matters.
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.
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.
How AI agents transform enterprise SOC operations — autonomous triage, incident response, threat hunting, and compliance automation.
A decade analysis of ransomware evolution from 2016 to 2026, covering RaaS operations, double extortion, initial access brokers, living off the land techniques, and what defenders keep missing.
Explore multi-agent AI security: A2A protocol hardening, MCP boundary enforcement, cross-agent memory isolation, and trust boundary design patterns.
A deep dive into securing AI agent supply chains — MCP server vetting, dependency integrity, sandboxing, and trust anchors for AI infrastructure.