AKAshutosh Kumarinaskuma.hashnode.dev·Jul 27 · 9 min readGuardrails 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 questi00
AKAshutosh Kumarinaskuma.hashnode.dev·Jul 20 · 7 min readLatency 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 sy02K
AKAshutosh Kumarinaskuma.hashnode.dev·Jul 13 · 6 min readMitigating 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 00
AKAshutosh Kumarinaskuma.hashnode.dev·Jul 5 · 5 min readThe 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 ca00
AKAshutosh Kumarinaskuma.hashnode.dev·Jun 26 · 8 min readLocalStack → Floci: The Complete 2026 Migration GuideBy Ashutosh Kumar | Project Manager & Engineering Tools Enthusiast | June 2026 Part 4 covered migration steps and CI configs. Part 5 covered the technology stack, service map, benchmarks, and edge ca00
