What is the OWASP AI Exchange and how should you use it?
The OWASP AI Exchange is an open guide to AI security threats and controls. Use it to threat model AI systems and to pick controls by lifecycle stage.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
The OWASP AI Exchange is an open guide to AI security threats and controls. Use it to threat model AI systems and to pick controls by lifecycle stage.
An AI agent's attack surface is its inputs, tools, memory and credentials. Map each one, cut permissions to the task, and log every tool call.
MLSecOps adds security checks to the machine learning lifecycle: data, training, model files and serving. See NIST's attack types and a practical start.
MITRE ATLAS is a public knowledge base of adversary tactics and techniques against AI systems, modeled on ATT&CK. How to read the matrix and apply it.
Dark AI is a loose term for AI used or built for harm. Government assessments say it mostly speeds up known attacks. Here is what that means for defenders.
An agent gateway is a control point between AI agents and their tools. It handles identity, permissions, limits and logs. Here is how to design one.
An AI accelerator is a chip built for the matrix math in neural networks. See why it beats a CPU at that job, the main types and the security issues.
AI-SPM is the practice of finding AI models, agents and data in your company, checking configuration and access, and fixing risky settings continuously.
AI bias is a systematic skew in a system's outputs that harms some groups. It comes from data, models and human choices. Here is how to test and track it.
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