Every capability. One graph.
Purpose-built modules that share one data model, one risk engine, and one dashboard.
A bundle is a price. A platform is a data model.
The difference shows up the first time a finding needs context that lives in another module — which, in practice, is most findings.
One asset graph
Every module writes into the same graph. An over-permissioned role, an unpatched host and an exposed model are three nodes on one path — not three findings in three consoles.
One risk engine
Severity is computed from exposure, blast radius and exploitability against your environment, not copied from a CVSS field. The same scoring applies whatever module raised the finding.
One evidence trail
Every read is timestamped and versioned once, then reused across all 50+ frameworks. Satisfying a control for ISO 27001 satisfies it for SOC 2 and DORA in the same pass.
Start here: AISentinel
AI security posture management
From foundation models to autonomous agents — Suronex continuously discovers every AI asset, detects AI-native threats like prompt injection and jailbreaks, red-teams your models, and maps what it finds to emerging AI regulation.
Secure your entire AI ecosystem
Every capability. One graph.
Purpose-built modules that share one data model, one risk engine, and one dashboard.
Read-only role in, findings out
There is no rollout plan, because there is nothing to roll out. The platform reads through provider APIs and never asks for a permission it does not need.
Connect
Grant a read-only role in each cloud, SaaS and AI platform. Minutes, not a change window.
Discover
The graph builds itself — assets, identities, models, data stores and the paths between them.
Act
Findings land scored and deduplicated in Jira, Teams or your SIEM, each with a generated fix.
AWS
Microsoft Azure
Google Cloud
Oracle Cloud
Kubernetes
Amazon EKS
Azure AKS
Google GKEOpenAI
Anthropic
Google Gemini
MCP Servers
Pinecone
Microsoft 365
Google Workspace
Okta
Microsoft Entra ID
GitHub
GitLab
Terraform