One Posture Plane for the
AI Software Factory
AI-assisted teams ship apps, APIs, agents, and MCP servers at machine speed, across the big clouds and the new ones. Kloudle gives that whole estate a single security posture — built on engines that refuse to promote a finding without proof, and kept entirely inside your network.
Five Surfaces, One Discipline
Cloud is the first surface taken all the way to production-evidenced scanning. The rest are real engines being productized onto the same rails — not greenfield promises.
Cloud Posture (CSPM)
LiveThe trust anchor. 1,800+ SQL-based checks across AWS, GCP, Azure, DigitalOcean, and Kubernetes, run on your infrastructure and stored in your database.
- Severity-mapped to CIS, NIST, and PCI-DSS
- Dashboard, CLI, and MCP server on one engine
- Every check is readable SQL you can audit
Neocloud Posture
In developmentThe half of the modern estate incumbent scanners can't see — Vercel, Cloudflare, Netlify, Render, Fastly. No Prowler-for-Vercel exists. We're defining the coverage on the same factory that powers cloud.
- Same ledger-driven check discipline as cloud
- Built for teams that ship on the new clouds
- Definitional coverage, not a bolt-on
MCP Server Posture
In developmentThe MCP servers your team runs and consumes are production attack surface with no benchmark behind them. Our MCP scanning engine is field-validated against real-world servers and is being folded into the platform.
- Posture standard for a category with zero incumbents
- Only proven issues get promoted to findings
- Validated against widely-used MCP servers
App & API Posture (ASPM)
RoadmapThe software your factory ships — exposed endpoints, leaked secrets, broken authorization. A production-grade engine proven on real engagements, being productized onto the same rails as cloud and MCP.
- Secret, endpoint, and library detection
- Authorization probing on deployed apps
- Confirmed / disproven evidence ledger
Agent Activity & Provenance
RoadmapWhen agents change your estate, the question becomes which factory line keeps producing risk. Answered from the audit logs you already collect — like CloudTrail — with no instrumentation in your pipelines.
- "Which identity made this change" from existing logs
- Surface the agents creating misconfigurations
- Zero customer instrumentation required
We Unify the Evidence, Not the Code
Merging the engines into one codebase is a year of work that ships nothing. Instead, each engine runs as a native worker and feeds one shared evidence layer — the integration that actually produces the connected picture.
One finding schema
Every engine emits structured, fingerprinted, severity-tagged, evidence-referenced findings. Normalized into one contract so a cloud finding and an MCP finding speak the same language.
One evidence ledger
All findings land in one map-governed store inside your network — the same coverage-DB discipline that gates cloud, extended across every surface. The ledger is the control plane, not a slide.
One cross-plane graph
Once findings share one store, the attack path that crosses layers becomes traversable: a weak MCP server, a leaked token, a cloud write, a public bucket, egress. No incumbent collects on every plane.
Why incumbents can't follow
Wiz and Datadog make money by centralizing your security data in their cloud. Kloudle makes money by keeping it in yours. The cross-plane graph — agent to tool call to credential to cloud resource to exposure — is only buildable by whoever collects on every plane with one evidence model, inside the enterprise. Copying it would mean breaking the business model the incumbents are built on.
Every claim above is gated on production evidence. We never quote catalog counts as coverage — only checks that run and evaluate against real accounts.
Put a Posture Layer in Your Factory
Self-serve signup is closing. Exclusive access opens issue gating across your MCP-connected apps — built on the 1,890 checks that run today.
Or explore Self-hosted deployment and Agent tools