ai-security
Combating Model Distillation and Weaponized LLMs
Discover how adversaries use AI distillation attacks and "hydra clusters" to steal frontier AI capabilities, and how cybercriminals weaponize LLMs for global operations.
ai-security
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ai-security
A Practical Guide to MCP Security
The Model Context Protocol (MCP) connects AI agents to your data. Learn how to secure MCP servers against tool poisoning, token misuse, and prompt injection with this practical guide based on OWASP standards.
ai-security
Privacy-First AI Coding: Local Proxy for LLMs
Use powerful Chinese LLMs (GLM-5, Kimi) without leaking secrets. A local proxy that redacts API keys, credentials, and PII before data leaves your machine.
ai-security
Hacking the AI Inner Voice: Understanding Chain-of-Thought Forgery
Chain-of-Thought (CoT) Forgery is a sophisticated attack where hackers plant fake reasoning to trick AI models into bypassing safety guardrails. Learn how "Authority by Format" works and how to secure your LLMs.
ai-security
The New Triad of AI Security: Promptfoo, Strix, and CAI
Discover the new wave of open-source AI security tools: Promptfoo, Strix, and CAI. Learn how to combine them for a defense-in-depth strategy to secure your AI applications.
ai-security
Setup Google Model Armor with Terraform
Secure your LLMs with Google Model Armor. Learn how it works, deploy reusable Terraform modules for templates, and enforce organization-wide safety floors to prevent prompt injections.