Continuous Assurance for AI Systems
Continuously monitor LLMs, SLMs, RAG pipelines, agents, and vector databases for drift, bias, hallucination, prompt-injection exposure, and policy regressions — with evidence packaging for FedRAMP, ISO 42001, NIST AI RMF, and SOC 2.
See AI Healthcheck in Action
Assurance across the full AI stack
HealthCheck runs alongside your models and agents — no code changes to the application. Continuous probing, baselining, and regression testing generate the evidence auditors ask for.
Drift & performance baselining
Baselines model behavior across prompts, latency, and output distributions. Alerts when production deviates from your validated baseline — for LLMs, SLMs, RAG, and vector DBs.
Bias & fairness monitoring
Auditable fairness scores across protected categories and custom demographic slices. Trend lines, per-prompt attribution, and exportable evidence for regulators.
Hallucination & factuality testing
Continuous factuality regression against your curated ground-truth sets. Detect when a model update or prompt change silently degrades answer quality.
Prompt-injection posture
Recurring adversarial probes against your deployed stack — measures whether guardrails still hold as prompts, tools, and providers change.
CI/CD integration
Policy-as-code gates run pre-deployment on every model or prompt change. Block releases that fail any configured test — drift, bias, injection, or factuality.
Compliance attestation
Auto-generate evidence packages for FedRAMP, ISO/IEC 42001, NIST AI RMF, SOC 2, and EU AI Act. Control mappings, POA&Ms, and continuous-monitoring artifacts.
Key Capabilities
What HealthCheck can monitor
Agent-heavy or model-heavy deployment? HealthCheck covers both.
Ready to deploy AI Healthcheck?
See how AI Healthcheck integrates with your existing security stack. Schedule a personalized demo today.