Design and implementation of production-grade guardrails across your AI pipelines — from input sanitisation to output filtering and agent tool access controls.
Design and implementation of production-grade guardrails across your AI pipelines — from input sanitisation to output filtering and agent tool access controls. Works with OpenAI, Anthropic, open-weight, or custom models. Real-time monitoring + jailbreak alerting. Developer docs + security runbook. ~2 weeks delivery.
Layered input validation: regex patterns, semantic similarity checks, embedding-based anomaly detection, and LLM-as-judge classifiers. Blocks prompt injection, jailbreak attempts, and data exfiltration prompts before they reach the model.
Real-time output scanning for PII, secrets, unsafe content, hallucination markers, and brand-violating language. Configurable allow/block/quarantine actions per category with audit logging.
Principle-of-least-privilege tool schemas with runtime validation. Parameter allow-lists, rate limits, domain allow-lists for HTTP calls, and dynamic policy evaluation based on user context and conversation state.
Credential scoping per environment, automated rotation schedules, short-lived token exchange, and vault integration (AWS Secrets Manager, HashiCorp Vault, 1Password). Eliminates long-lived keys in code.
Real-time dashboards for injection attempts, policy violations, tool misuse, and anomaly scores. Alert routing to Slack, PagerDuty, or email with severity tiers. Historical trend analysis for security reviews.
From audit to deployed guardrails in two weeks. No vendor lock-in — you own the code and configs.
Review existing AI pipelines, model providers, tool schemas, data flows, and threat model. Define guardrail requirements and success criteria.
Build sanitisation layers, output filters, tool policies, and monitoring. Unit test each layer against adversarial dataset. Staging deployment.
Run automated + manual adversarial tests against deployed guardrails. Measure bypass rates, false positive rates, latency overhead. Iterate until targets met.
Deploy to production with feature flags. Provide developer docs, security runbook, and 2-week hypercare support. You own the code.
Stop hoping your prompts hold. Build guardrails that actually work — with monitoring, alerting, and code you own.