
Turn cloud chaos into Control.
Cloud Explorer maps AWS, Azure, and GCP to frameworks like NIST & CIS, detects drift over time, and turns inventory + findings into evidence—without turning operators into full-time spreadsheet archeologists.
No install required. Early access supports bring-your-own-cloud integrations.
Stop turning cloud chaos into audit chaos.
The hard part isn’t collecting data—it’s turning it into evidence and keeping it true as environments change. Explorer Details shows how Cloud Explorer does that end-to-end.
What it is
Cloud Explorer transforms raw multi-cloud metadata into a living inventory and topology model, then layers explainable analysis and narrative output on top—so teams can understand what exists, how it connects, what it implies, and what actions are safe to take.
Security-first by design
Scoped access, traceable output, evidence-friendly workflows.
Relationships matter
Inventory isn’t enough—dependencies and trust paths reveal risk.
AI with guardrails
Summarize and explain; execution stays deterministic and policy-bound.
Architecture Diagrams
Evolution from original system view to governance-aware topology.
Original Architecture

Governance-Aware Architecture (v2)

The updated architecture introduces a governance-aware topology model as the authoritative fabric, enabling explainable analysis and policy-bound execution.
Core System Model
Discovery → Mapping → Cognition → Narration → Visualization
Discovery Engine
- Connects to provider APIs using scoped, time-bounded access
- Enumerates inventory, identity, and policy metadata into snapshots
- Feeds mapping continuously to support drift awareness
Mapping Engine
- Normalizes inventory into a queryable model
- Encodes governance semantics (permissions, tags, dependencies)
- Becomes the fabric for evidence and visualization
Cognition Engine
- Hybrid reasoning: deterministic checks + AI assistance
- Compliance-aware interpretation (NIST/CIS/FedRAMP mappings)
- Produces evidence-backed findings and recommendations
Narration Engine
- Exec + technical summaries tied to evidence
- Dialogue exploration (why is X risky?)
- Reporting designed for audit workflows
Visualization Engine
- Interactive inventory exploration (and topology where applicable)
- Overlays for risk, drift, and compliance context
- Narration links directly back to the underlying evidence
What it enables
- Unified multi-cloud inventory with change awareness over time
- Compliance-aware snapshots and control evidence generation
- Queries like: “show internet-facing resources linked to non-compliant identities”
- Summaries that stay tethered to evidence (not vibes)
Cloud Explorer