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TestSavant.AI · Checkpoint Technologies

TestSavant.AI

Runtime Guardrails

TestSavant SDK (GuardSavant) provides policy-as-code guardrails across models, tools, and routes. Input and output scanners run before and after each model call to block prompt injection, toxic drift, PII leakage, and other policy gaps.

View GuardSavant on TestSavant.AI

How Checkpoint Technologies approaches this platform

Runtime guardrails work when policies are versioned, testable, and observable across every channel that calls a model. Checkpoint Technologies helps teams define scanner policies that match business rules, wrap model and agent calls with InputGuard and OutputGuard, and connect guardrail outcomes to incident response and audit evidence.

What teams usually struggle with

  • Guardrail rules drift between chat, agents, and API integrations
  • Teams lack consistent input and output scanning before production traffic
  • Policy changes ship without regression tests or rollback plans
  • Security and compliance need audit-ready logs tied to each decision
  • Latency budgets make guardrail design a release blocker without guidance

How Checkpoint Technologies helps

  • Assess agent, RAG, and chatbot flows for guardrail coverage gaps
  • Design input and output scanner policies aligned to your risk posture
  • Integrate TestSavant SDK around model calls in Python, Node.js, or edge workers
  • Build test-driven guardrail workflows with replay and threshold tuning
  • Train engineering and QA teams on policy maintenance and incident escalation
  • Support production rollout with monitoring and policy iteration

Typical engagements

Guardrail readiness assessmentSDK integration and policy designScanner configuration and CI validationProduction rollout supportEngineering and QA training