Runtime Assurance for AI in Production

Stratum operates as the policy decision engine above your AI infrastructure. Alert rules and enforcement actions are defined in and executed via your existing systems (API gateways, MLOps platforms, IAM, provider APIs). Every policy decision generates immutable evidence for regulatory defense.

AI Assurance

Critical

Governance health

Critical

Policy breaches

High Risk

Identities flagged

Enforced

Access restrictions

Quarantined

Models offline

Evidence

1247

Records (24h)

Aggregated compliance and risk posture across all monitored AI systems based on imported metrics, eval results, and Stratum policies.

Model Accuracy

94.2%

+2.1%

Source: Evaluation system

Policy threshold: ≥90%

Avg Latency (p95)

145ms

-12ms

Source: Provider telemetry

Policy threshold: ≤500ms

Throughput

2.4k/min

+18%

Source: Provider APIs

Error Rate

0.08%

-0.02%

Source: Provider telemetry

Policy threshold: ≤2.0%

Drift Score

0.12

+0.03

Source: MLOps (Arize)

Policy threshold: ≤0.3

Fairness Score

0.91

+0.05

Source: Evaluation system

Eval Pass Rate

96.8%

+1.2%

Source: Internal evals

Policy threshold: ≥95%

Safety Score

98.5%

+0.3%

Source: Stratum probes

Policy threshold: ≥98%

Policy Violations

Source: Identity + Policy engine

Policy threshold: ≤10/day

Identity-Resolved Governance

Usage attributed via SSO/SCIM

Usage is attributed via SSO/SCIM and provider logs. Violations, risk scores, and blocks reflect Stratum policies, enforced via your IAM, MLOps, or API gateway—not inline man-in-the-middle. Actions are executed through configured integrations (e.g. disabling keys, changing roles, routing traffic), logged as evidence.

Identity	Role	Business Unit	Requests	Violations	Blocked	Risk Score
Alice Chen alice.chen@company.com	Data Scientist	AI Research	1,247	2	0	12
Bob Martinez bob.martinez@external.com	Contractor	Engineering	523	15	2	78
Carol Johnson carol.j@company.com	Engineer	Platform	892	1	0	8
David Kim david.kim@partner.com	External Partner	Sales	234	8	1	65

Showing 5 of 5 alerts

Policy Breach Alerts

5 governance events shown

High Error Rate Detected

CriticalOpen

performance·gpt-4·

2h ago

5.2%

Threshold: 2%

Model Drift Detected

HighOpen

drift·claude-3·

5h ago

0.45score

Threshold: 0.3score

Latency Threshold Exceeded

MediumAcknowledged

performance·gemini-pro·

1h ago

850ms

Threshold: 500ms

Critical Events Threshold Exceeded

HighOpen

governance·gpt-4·

3h ago

12events

Threshold: 5events

Eval Pass Rate Below Threshold

HighOpen

quality·claude-3·

4h ago

89.2%

Threshold: 95%

Platform Architecture & Governance Model

Ingests: MLOps metrics (drift, errors, evals)

Ingests: Provider metadata (latency, usage)

Ingests: Identity data (SSO/SCIM)

Runs: Lightweight assurance probes for black-box AI

Signal-Source Agnostic

Stratum is the intelligence layer above your AI stack. We aggregate signals from wherever they live (MLOps, providers, eval systems) and run lightweight probes where no metrics exist. We care about governance outcomes, not how metrics are produced.

Policy Decision Engine

Stratum orchestrates quarantines and restrictions via your existing tools—we never become infrastructure. Enforcement is executed through API gateways, MLOps platforms, IAM systems, or provider APIs. Every decision generates signed evidence for regulatory defense.

Metadata-Only Governance

Data minimization applied—only governance-essential metadata retained. Stratum does not require full prompt or payload capture for most use cases. Customers can choose redacted or hashed fields while maintaining assurance quality.

Black-box AI coverage: For external/API-only AI systems (e.g. OpenAI, Anthropic, SaaS copilots) where no MLOps exists, Stratum runs lightweight behavioral probes and aggregates provider telemetry to estimate reliability, drift, and policy alignment—without storing sensitive payloads. This is the key differentiator vs classic MLOps monitoring.