Bing Chat’s Sydney: The System Prompt Extraction Era
Researchers pulled Bing Chat’s hidden rules with polite overrides, revealing the codename Sydney and confidential guidelines. Prompt-injection’s big bang.
Researchers pulled Bing Chat’s hidden rules with polite overrides, revealing the codename Sydney and confidential guidelines. Prompt-injection’s big bang.
SQL injection stayed in the OWASP Top 10 for 20+ years. Prompt injection is the same bug with worse permissions — here’s the history, real examples, and the defense playbook.
ChatGPT landed November 30, 2022 and hit 100M users in two months — and immediately made prompt injection a practical attack class. Still unsolved in 2026.
Discover CAI (Cybersecurity AI Framework), the open-source toolkit revolutionizing bug bounties and CTF competitions with autonomous AI agents.
The OWASP Agentic Skills Top 10 maps the 10 risks of the AI-agent skill ecosystem - malicious skills, supply chain compromise, over-privileged manifests, metadata attacks, weak isolation, update drift, scanning gaps, governance failures and cross-platform reuse - with real 2026 evidence.
RAG pipelines trust whatever lands in the vector database. Learn how corpus poisoning, retriever manipulation, and injected documents hijack AI answers — and the defenses that actually work in 2026.
How attackers hijack AI applications with nothing but text: direct vs indirect injection, real incidents from Bing to EchoLeak, why no complete fix exists, and the layered architecture that actually contains it.
How AI agents transform enterprise SOC operations — autonomous triage, incident response, threat hunting, and compliance automation.
How AI models get stolen through extraction and distillation attacks. Explore techniques, defenses, and real-world ML security case studies.
Three AI-adjacent CVEs hit CISA’s KEV catalog in one month: the LiteLLM proxy auth bypass exposing every prompt your org ever sent, a Linux kernel privesc reaching GPU training clusters, and PAN-OS as the beachhead. Living off the LLM, explained.
Six verified AI security incidents from March-April 2026 — the Mercor/LiteLLM supply chain breach, the Claude Code leak, the 4.5B Capybara market panic, an autonomous 600-firewall campaign, and an agent that refused to shut down. The AI Inversion, explained.
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.