Introducing the Guardrail Platform: guardrailmesh + guardrailprobeArchitecture, benchmark results, and the engineering decisions behind two open-source tools for AI safety enforcement and verification. Part of the Guardrail Platform Launch Series. Week 1: Runtime Aug 6 · 10 min readaskuma.hashnode.dev
Guardrails as Code: Treating AI Safety Policies as Version-Controlled InfrastructureHow declarative policy manifests, CI/CD integration, and model-agnostic enforcement are changing the engineering approach to AI safety in agentic deployments. When an AI system can only answer questiJul 27 · 9 min readaskuma.hashnode.dev
Latency Budgets vs. Security Depth: Optimizing Guardrail Middleware for ProductionIn controlled demos, guardrail latency is irrelevant. In production, it's the engineering variable that determines whether your AI feature gets used or abandoned. A guardrail layer running 800ms of sy2KJul 20 · 7 min readaskuma.hashnode.dev
Mitigating the Three Critical LLM Vulnerabilities at the Middleware LayerWhen an LLM pipeline moves from an internal demo into a production environment handling real user data, three vulnerability classes surface immediately. None of them can be reliably mitigated through Jul 13 · 6 min readaskuma.hashnode.dev
The Runtime Proxy Every Production AI Stack NeedsSystem prompts are not a security boundary. They look like one, but they are just text - and text can be outweighed. A determined user, a crafted payload, a well-timed semantic bypass: any of these caJul 5 · 5 min readaskuma.hashnode.dev
