Model Drift & Continuous Evaluation Pipeline for Amazon Bedrock
Kriv AI · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**Production AI without continuous monitoring is regulatory exposure. Bedrock models degrade silently: data drift, concept drift, prompt drift, RAG retrieval drift, tool-use drift, and cost drift all fail without alerts, and until now, no Bedrock-native, drift-specific, fixed-fee consulting SKU existed on AWS Marketplace.**
MLOps foundations (Slalom, Caylent, Rackspace, Mission Cloud, Quantiphi, Tiger Analytics: $50K–$200K), SaaS monitoring (Arize $50K–$250K/yr; Fiddler $60K–$300K/yr; WhyLabs $25K–$100K/yr; Evidently $15K–$75K/yr; Datadog/New Relic/Dynatrace), Big-Four SOWs ($200K–$500K). **None offer fixed-fee, Bedrock-native, drift-specific implementation with regulator-defensible evidence packages.** Category is MDF-eligible under AWS Agentic AI Competency.
Show the rest of the publisher’s description (20 more lines)
Regulation has outpaced monitoring tooling. **SR 11-7 / OCC 2011-12** require ongoing monitoring as essential MRM. **NAIC Model Bulletin on AI** (Dec 2023, 20+ state adoptions) requires insurers to validate AI on ongoing basis. **EU AI Act Article 15** requires high-risk AI to maintain accuracy, robustness, cybersecurity; **Article 72** mandates post-market monitoring with evidence for AI Office / NCA review. **FDA SaMD PCCP** (Dec 2024) requires change-control monitoring. **SOC 2 Type II CC7** requires documented monitoring. **OWASP Top 10 for LLM** names overreliance (LLM09), continuous evaluation is the mitigation.
**Seven drift vectors instrumented.**
**Data drift**: PSI, Kolmogorov–Smirnov, Wasserstein, Jensen–Shannon on prompt distributions, RAG inputs, tool-call parameters.
**Concept drift**: Claude-as-judge output-quality regression tracking against frozen golden dataset; precision / recall / F1 deltas flagged.
**Prompt drift**: upstream prompt template diff tracking with version control + CI/CD.
**RAG retrieval drift**: KB freshness; recall@k / NDCG / MRR; embedding-space shift via periodic re-vectorization.
**Tool-use drift**: MCP / tool-call frequency, success rate, latency regression, argument distribution shift.
**Cost drift**: token-usage creep; per-agent / per-tenant cost trend; AWS Budgets thresholds.
**Champion-challenger**: automated A/B (Claude Opus 4.6 vs Sonnet 4.6 vs Haiku 4.5) via SageMaker Experiments.
**Automated alerting.** CloudWatch Alarms → EventBridge → SNS to Jira / ServiceNow / PagerDuty / Opsgenie / Slack / Microsoft Teams.
**Reference architecture.** SageMaker Model Monitor + Bedrock Model Invocation Logging → S3 monitoring data lake with Object Lock → Glue + Athena drift analytics → CloudWatch Metrics + Alarms → QuickSight dashboards → Step Functions orchestration → Claude on Bedrock as LLM-judge → SageMaker Experiments for champion-challenger → EventBridge for incident routing.
**Week-by-week.**
W1 Scoping + baseline capture (model inventory; threshold design; alert-channel plan).
W2 SageMaker Model Monitor + Bedrock Model Invocation Logging deployment + S3 + Glue + Athena.
W3 Core drift detectors (data + concept + prompt) + CloudWatch Alarms + EventBridge: Foundation closes (30-day warranty).
W4 Standard: advanced drift (RAG + tool-use + cost) + QuickSight dashboards + CI/CD alert integration (45-day warranty).
W5 Enterprise: champion-challenger via SageMaker Experiments (Opus 4.6 / Sonnet 4.6 / Haiku 4.5); regulated-industry evidence (SR 11-7, NAIC, EU AI Act Article 72).
W6 Enterprise: sibling integration (N29 + N31 + N24); 60-day hypercare.
**Three tiers.** Foundation $45K (4 wk; 1 model; data + concept + prompt drift; CloudWatch Alarms; 30-day warranty) for AI-native Series B–E + Fortune 1000 first internal pilot. Standard $75K (5 wk; up to 5 models; advanced drift + QuickSight + CI/CD multi-channel alerting; 45-day warranty) for mid-sized multi-model + SOC 2 Type II renewal + fintech / healthtech production MLOps. Enterprise $110K (6 wk; up to 10 models; regulated-industry drift evidence: SR 11-7 + NAIC + EU AI Act Article 72 + FDA SaMD PCCP; champion-challenger across Opus 4.6 / Sonnet 4.6 / Haiku 4.5; 60-day hypercare) for regulated, G-SIB banks, top-25 payers + pharmas. Optional Extra Model $15K each. EDP-eligible — pipeline engagement fees ($45K–$110K) count toward your AWS Enterprise Discount Program commitment (up to 25%). AWS + Anthropic + Bedrock consumption costs are billed separately by AWS. Contact info@kriv.ai to structure a private offer against your EDP or PPA.
**Important disclosures.** Kriv does NOT operate pipeline post-deployment (unless Managed Service retainer). Does NOT retrain Customer models, detection only; remediation (retraining, threshold adjustment, prompt updates) is Customer's. Issues no SOC 2 / HIPAA / HITRUST / ISO certifications. No legal / regulatory / compliance advice. No 100% drift detection guarantee, statistical tests are probabilistic. No SageMaker Model Monitor / Bedrock API stability guarantee. AWS + Anthropic + Bedrock + LLM-judge consumption separate. No regulator-outcome guarantee. Anthropic CPN membership does not constitute endorsement.
Highlights
Highlighted by the publisher on AWS Marketplace.
First fixed-fee Bedrock-native drift + continuous-eval consulting SKU on AWS Marketplace, 7 drift vectors instrumented.** Data drift (PSI / Kolmogorov-Smirnov / Wasserstein / Jensen-Shannon); concept drift (Claude-as-judge output-quality regression); prompt drift (version-control diff); RAG retrieval drift (recall@k / NDCG / MRR + embedding shift); tool-use drift (MCP call frequency / success rate / latency); cost drift (token creep); champion-challenger (Opus 4.6 vs Sonnet 4.6 vs Haiku 4.5)
Amazon SageMaker Model Monitor + Bedrock Model Invocation Logging + Amazon CloudWatch + QuickSight + AWS Step Functions + Claude on Bedrock as LLM-judge + SageMaker Experiments for champion-challenger.** S3 Object Lock monitoring data lake for regulated-industry audit. Glue + Athena drift analytics. CloudWatch Alarms → EventBridge → SNS to Customer Jira / ServiceNow / PagerDuty / Opsgenie / Slack / Microsoft Teams. CI/CD alert integration via GitHub Actions / CodePipeline / GitLab CI
Regulated-industry evidence: SR 11-7 ongoing monitoring (OCC / FRB / FDIC MRA / MRIA); NAIC Model Bulletin ongoing validation; EU AI Act Article 15 + Article 72 post-market monitoring; FDA SaMD PCCP change-control; SOC 2 CC7 System Operations; HIPAA §164.308(a)(1)(ii)(D) ongoing evaluation.** Three tiers: $45K Foundation (1 model, 3 drift vectors); $75K Standard (5 models, 6 vectors); $110K Enterprise (10 models, 7 vectors + champion-challenger + regulated evidence). EDP-eligible.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
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Vendor
External enrichment · as of 2026-08-29
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