PolicyAware vs Guardrails vs AI Gateways vs Model Routers: The Comparison Every AI Engineer Needs to Read
The article discusses the limitations of existing AI governance tools such as guardrails, AI gateways, and model routers. It introduces PolicyAware, an open-source Python control plane designed to address the governance gap by ensuring that requests are allowed based on user roles and risk levels. The author emphasizes the importance of having a control plane for AI systems that handle sensitive data and require compliance.
- ▪PolicyAware is an open-source Python control plane that sits in front of AI models and tools.
- ▪Existing tools like guardrails, AI gateways, and model routers do not adequately address governance questions.
- ▪PolicyAware ensures that requests are evaluated based on user roles, risk levels, and compliance requirements.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3898223) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } KRISHNA KISHOR TIRUPATI Posted on May 23 PolicyAware vs Guardrails vs AI Gateways vs Model Routers: The Comparison Every AI Engineer Needs to Read #python #ai #security #opensource I've been building AI-powered features for a while now, and the hardest conversations I have with my team are never about which model to use.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).