8 posts
Guardrails: input and output barriers that keep an assistant in check — anti-injection, prices as ranges, no false promises. Security built in.
AI for content moderation automates violation detection at a scale humans can't handle. How to design a system with guardrails, human-gate, and AI Act compliance.
AI assistant security audit 2026: checklist covers prompt injection, PII leakage, tool permissions, rate-limiting, and RAG database vulnerabilities.
An agent acts, not just talks — so it needs boundaries. How to give AI agency without losing control: allow-list, confirmations, audit trail.
OWASP LLM Top 10 outlines 10 vulnerability classes in large language models. How each manifests in production systems and how to build layered defenses.
Models can confidently fabricate information. Here’s how to ensure your AI assistant responds based on facts and says 'I don’t know' instead of making things up.
Responsible AI innovation isn’t a values statement—it’s concrete design decisions: guardrails, human-in-the-loop, explainability, and AI Act compliance. How to implement it in your company.
A malicious instruction in content can hijack an AI assistant. What prompt injection is and how we build defenses before something goes wrong.
Why human oversight isn't a brake on automation but its condition. Human-gate, explainability, and AI Act in one architecture.