Archive
Research archive, page 13
Page 13 of 159 published articles on AI security, application security, supply chain, and real attack chains.
Mythos, Machine-Speed Exploitation, and the Growing Importance of Identity Attack Paths
When Anthropic announced Mythos and the associated rollout plan, it sparked an immediate wave of discussion across the cybersecurity community about machine-speed compromise.
Machine Learning Archive Zip Slip (Path Traversal) Threat
Identifies severe path traversal vulnerabilities (Zip Slip) occurring during the automated extraction of compressed machine learning model packages.
OWASP Top 10 for LLMs: The Definitive Guide to AI Vulnerabilities
Explore the official OWASP Top 10 for Large Language Models (LLMs). From Prompt Injection to Supply Chain Attacks, learn how to secure your enterprise...
The Overlooked Attack Surface: Hunting 0-Days in AI Model Files
When discussing cybersecurity in Artificial Intelligence, everyone fixates on API security, prompt injections, and web vulnerabilities. Meanwhile, ...
LLM and RAG Data Poisoning: Infiltrating Autonomous AI Models
How do threat actors execute Indirect Prompt Injections and Data Poisoning in Retrieval-Augmented Generation (RAG) architectures?
AI Risk Report: Fast-Growing Threats in AI Runtime
AI runtime security research covering model supply chain, unsafe loading, parser risk, prompt injection, tool abuse, resource exhaustion, and recovery controls.
Artificial Intelligence (LLM) Manipulations: Prompt Injection and RAG Poisoning
Prompt injection and RAG poisoning guide: direct and indirect attacks, retrieval authorization, data provenance, tool boundaries, safe testing, and runtime controls.
Denial of Wallet in LLM Applications: Detecting Resource-Draining Prompts
How attackers turn long, recursive, or tool-heavy prompts into token, GPU, and API cost spikes—and how to detect and contain the risk.
The Art of LLM Jailbreaking: Demystifying Offensive Prompt Engineering
How do Red Teamers bypass the safety filters of Large Language Models? Dive deep into the manipulative art of LLM Jailbreaking, DAN prompts, and...