SYLVA Labs · AI Governance Platform

Discover every AI system
in your enterprise. Prove it’s governed.

AI Pulse gives your executive team one trustworthy view of every AI agent and model your organisation runs — discovered, risk-assessed, mapped to the frameworks that apply, and backed by audit-ready evidence. Read-only, deployed in your tenant.

Request a demo See the platform

Cloud coverage

Microsoft Azure

Amazon Web Services · Coming Q4 2026

AI Pulse — CISO Dashboard

CIO CISO CTO COO CFO CCO

Risk Score

Elevated

Open Incidents

1 critical

Shield Calls

142

7-day total

Shadow AI

Unregistered

Risk by Business Unit

FinanceHIGH

OperationsMEDIUM

Customer ExpLOW

HR TechLOW

Framework Readiness

EU AI Act

61%

MAS TRM

84%

ISO 42001

38%

NIST AI RMF

79%

The Problem

Enterprises are adopting AI faster
than they can govern it.

AI agents, copilots, and models are multiplying across every business unit and cloud — much of it shadow AI leadership can't see. Regulators and boards now hold executives personally accountable, yet AI risk, cost, and quality stay scattered across security tools, cloud bills, and spreadsheets.

"What AI are we actually running?"

No inventory, no ownership, no visibility into the agents and models spreading across teams, business units, and clouds.

"Is it safe and compliant?"

New attack surfaces — prompt injection, data leakage, shadow AI — and a wall of regulation with no way to prove control.

"What does it cost — is it worth it?"

AI spend scattered across providers and business units, untracked and unattributed to the value it actually delivers.

"Can we prove it to an auditor?"

Evidence trapped in disconnected tools, so every audit becomes weeks of manual screenshotting and reconciliation.

AI Pulse answers all four — one read-only assurance platform that unifies risk, cost, and compliance across Azure, AWS, and hybrid cloud, live in hours.

Platform Capabilities

Every dimension of AI governance,
unified in one platform

AI Pulse aggregates signals from Azure, AWS, and your surrounding security, finance, and compliance tooling into role-specific intelligence for each member of your executive committee.

AI Risk & Security

Continuous risk tier classification across your AI portfolio. Real-time prompt injection detection, shadow AI discovery, IAM drift monitoring, and attack surface analysis — correlated from live cloud signals.

Threat DetectionShadow AIRBAC DriftPrompt Shield

Compliance & Audit Readiness

Map your AI systems to 35+ global regulatory frameworks. Automated evidence collection, control gap analysis, and framework readiness scoring for EU AI Act, MAS TRM, GDPR, ISO 42001, NIST AI RMF, and more.

EU AI ActMAS TRMPDPAISO 42001

FinOps & Cost Intelligence

AI expenditure by business unit, model, and cloud provider. Token consumption analytics, ROI measurement, anomaly detection, and optimisation recommendations to keep AI investment accountable.

Cost by BUToken AnalyticsROI TrackingAnomaly Alerts

Operations Health

Fleet-level execution metrics — success rates, latency percentiles, human override rates, and automation cascade health. Platform coverage across Azure, AWS, and on-premises AI workloads.

Latency p50/p95Override RateFleet Health

Agent & Model Performance

Per-agent quality scores, drift detection, hallucination risk scoring, and model retirement impact analysis. Continuous evaluation pipelines via AI Foundry and SageMaker integrations.

Quality ScoringDrift DetectionHallucination Risk

AI Lineage & Traceability

Interactive service-map of your AI estate — data sources, model dependencies, downstream processes, and business ownership chains. Full governance tagging and attestation management across providers.

Dependency GraphOwner MappingAttestations

A lens for every leader

Six executives. One source of truth.

Every leader sees the AI estate through their own lens — the same underlying data, surfaced as the decisions that matter to their role. No dashboards to build, no analysts to brief.

CIO

AI value, portfolio & adoption

CISO

AI risk, shadow AI & attack surface

CTO

Model quality, drift & architecture

COO

Automation health & operations

CFO

AI spend, ROI & optimisation

CCO

Compliance, audit & attestation

See it in action

Decision-grade — not dashboard soup.

Real views from AI Pulse: headline metrics up top, depth a click away. Every number carries its provenance — live, derived, or assumption — so you always know what you're looking at.

AI Pulse — AI Value & Portfolio dashboard — **AI Value & Portfolio** — value generated, agents in estate, fleet success & adoption at a glance

AI Pulse — Security & Risk dashboard — **Security & Risk** — attack surface, shadow AI & gateway enforcement

AI Pulse — AI Lineage map — **AI Lineage** — org → application → agent → model, end to end

AI Pulse — Compliance & Audit dashboard — **Compliance & Audit** — audit readiness & evidence across 35+ frameworks

AI Pulse — FinOps & ROI dashboard — **FinOps & ROI** — spend, ROI & ranked optimisation opportunities

Cloud Coverage

Azure. AWS. Hybrid.
One unified governance layer.

AI Pulse is purpose-built for enterprises operating across multiple cloud environments. Whether your AI workloads run on Azure, AWS, or span both, a single assurance layer governs them with live telemetry from each side.

Microsoft Azure & Microsoft 365

Native integration via Managed Identity

Live

The broadest enterprise AI ecosystem — from infrastructure-level AI services to business application agents. AI Pulse connects across the full Microsoft stack.

Explore Azure integration in depth →

Amazon Web Services

Read-only IAM Role telemetry integration

Live

The same executive oversight, extended to your AWS estate — AI services, security posture, compliance signals, and cloud cost visibility, normalised into one assurance platform alongside Azure.

Explore AWS integration →

Hybrid & Multi-Cloud Governance

Live

Most enterprises do not operate on a single cloud. AI workloads are distributed — Azure OpenAI and Foundry for language workflows, Bedrock and SageMaker for AWS-native AI, and private workloads for sensitive data. AI Pulse normalises those signals into one governance layer so your board sees one coherent picture regardless of where the AI runs.

Unified Asset Registry

Discover and catalogue AI systems across Azure, AWS, and on-premises in a single searchable inventory

Cross-Cloud Cost Rollup

Aggregate AI spend across providers by business unit, project, or risk tier — no manual reconciliation

Framework-Agnostic Compliance

Apply GDPR, EU AI Act, MAS TRM, and other frameworks uniformly across workloads regardless of cloud origin

Single Incident Timeline

Security incidents and anomalies from Microsoft security tooling and AWS services correlated into one executive view

Deployment Options

Deploy where your data lives.
No new infrastructure required.

AI Pulse connects to your existing cloud environment using Azure managed identity and read-only AWS IAM roles — no new agents, no data pipelines, no credentials stored in the platform.

Azure-Native

Azure Container Apps

Run directly in your Azure tenant as a Container App. Managed Identity authentication — no secrets, no service principals required. Data never leaves your subscription boundary.

AWS-Connected

AWS Telemetry Integration

Connect AI Pulse to your AWS environment with read-only IAM roles so Bedrock, SageMaker, Security Hub, GuardDuty, Config, and cost telemetry flow into the same executive assurance platform.

Hybrid

Multi-Cloud Deployment

A single AI Pulse instance can federate signals from Azure subscriptions, AWS accounts, and multiple regions. Normalised data models surface unified governance metrics regardless of where workloads run.

Authentication model

Azure Managed Identity • AWS IAM Roles • No stored credentials • Principle of least privilege • Read-only access scopes

Data residency

All signals are processed within your cloud environment. No AI asset data, telemetry, or compliance evidence is transmitted to third-party servers.

What You'll Need

Works with what you already run.

AI Pulse observes your existing Microsoft and AWS estate — it doesn't deploy AI for you. The more of the stack you've connected, the richer your dashboards. At onboarding, a live preflight shows exactly what's connected and what each source unlocks.

Microsoft Azure prerequisites

Azure subscription + read-only access — Reader & Cost Management Reader, via Managed Identity (no secrets, no write access)
To get value: at least one Azure AI service — Azure AI Foundry, Azure OpenAI, Cognitive Services, or Azure ML
For full coverage: Defender for Cloud / Defender for AI, Microsoft Sentinel, Entra ID, Azure Cost Management, Azure Monitor / App Insights / Log Analytics, Purview (optional)

Amazon Web Services prerequisites

AWS account + read-only access — a scoped cross-account IAM role (no keys stored)
To get value: at least one AWS AI service — Amazon Bedrock or Amazon SageMaker
For full coverage: Security Hub, GuardDuty, Inspector, Macie, AWS Config, Cost Explorer / Budgets, CloudWatch

No source yet? Every widget shows an honest "not connected" state with a one-click guide to enable it — AI Pulse never invents a number to fill a gap. Some sources (Defender, Sentinel, Purview) are paid Microsoft add-ons; AI Pulse uses them only if you already have them.

How It Works

Operational in hours. Not months.

AI Pulse connects to your existing cloud environment using read-only permissions. No new infrastructure, no data migration, no lengthy implementation programme.

Connect your cloud environment

Assign read-only Managed Identity for Azure and read-only IAM Role access for AWS. AI Pulse begins discovery immediately with no agents or configuration files required.

AI systems are discovered automatically

Resource Graph and AWS Organizations scan for AI Foundry, Bedrock, SageMaker, Cognitive Services, and custom ML endpoints across all accounts and regions.

Classify, tag, and attest

Assign risk tiers under EU AI Act, enable applicable compliance frameworks, and complete governance attestations. Changes propagate to all executive dashboards immediately.

Board-level intelligence, continuously

Each CxO receives a purpose-built view with full data provenance. Every metric shows its source — live API, calculated value, or configuration input.

Common Questions

Questions, answered.

What data does AI Pulse read from my cloud?

AI Pulse reads resource metadata, configuration state, security signals, and cost telemetry — not the content of your AI conversations or user data. On Azure it uses read-only Managed Identity (Reader + Cost Management Reader). On AWS it uses a scoped read-only IAM role. No credentials are stored in the platform and no data leaves your cloud boundary.

Is AI Pulse read-only? Can it change anything in my environment?

Completely read-only. AI Pulse observes and surfaces — it holds zero write access to your cloud resources. Every remediation action remains in your native Azure, AWS, ITSM, or DevOps tooling. There are no agents deployed into your workloads and no data pipelines to maintain.

What are the minimum prerequisites to get started?

For Azure: one subscription, read-only Managed Identity access, and at least one Azure AI service (Azure AI Foundry, Azure OpenAI, Cognitive Services, or Azure ML). For AWS: one account, a scoped read-only IAM role, and Bedrock or SageMaker. At onboarding a live preflight shows exactly which signals are connected and what each unlocks — AI Pulse never invents a number for an unconnected source.

How long does it take to go live?

Hours, not months. Grant read-only access and AI Pulse discovers your AI estate, classifies risk, maps your enabled compliance frameworks, and populates every executive dashboard immediately — no implementation programme, no data migration, no agents to deploy. See full FAQ →

Discover every AI systemin your enterprise. Prove it’s governed.

Enterprises are adopting AI fasterthan they can govern it.

Every dimension of AI governance,unified in one platform

Six executives. One source of truth.

Decision-grade — not dashboard soup.

Azure. AWS. Hybrid.One unified governance layer.

Deploy where your data lives.No new infrastructure required.

Works with what you already run.

Operational in hours. Not months.

Ready to establish board-levelvisibility across your AI estate?

Questions, answered.

Discover every AI system
in your enterprise. Prove it’s governed.

Enterprises are adopting AI faster
than they can govern it.

Every dimension of AI governance,
unified in one platform

Azure. AWS. Hybrid.
One unified governance layer.

Deploy where your data lives.
No new infrastructure required.

Ready to establish board-level
visibility across your AI estate?