Own Your Security Context Graph for the AI Software Factory
Kloudle turns raw scanner output into evidence-promoted security issues, stored in your environment, so humans stay responsible and agents can act from proof. This is the mental model behind the product — and where it is headed.
Two Linked Concepts
A security context graph is not one thing. It is a ledger that records what was proven, and a graph that explains why it matters. Agents lean on the ledger; humans lean on the graph.
The evidence ledger
The durable record of what was observed, what evidence supported promotion, what became a security issue, what was rejected or waived, what was fixed, what was verified, and what an agent was allowed to act on.
Records what was proven and what happened next.
The security context graph
The connected view of why a security issue matters across cloud, identity, MCP servers, applications and APIs, supply chain, egress, agent activity, policy, and business responsibility.
Explains connectedness and consequence.
Why Raw Scanner Output Is Not Enough for a Factory
Traditional scanners optimize for discovery volume. The AI software factory makes discovery volume cheap, and the hard problem becomes promotion, proof, delegation, and responsibility.
Volume stops being scarce
An agent fleet produces misconfigurations faster than a team can read a dashboard. The bottleneck moves from finding issues to deciding which ones are real and what to do about them.
Findings are not equal
A public bucket reachable from the internet and one behind three layers of network policy are not the same risk. Raw scanner output treats them alike. Context is what tells them apart.
Agents need proof, not noise
If an agent acts on every scanner result, it amplifies false positives at machine speed. Agents need a promoted, evidence-backed queue and a boundary a human set — not a raw feed.
Humans still own the outcome
Responsibility does not transfer to a tool or an agent. The people accountable for security need a connected view to govern delegation and prove they met their obligations.
What Is Live, and What Is the Model
The graph is scoped to the AI software factory, not the entire enterprise. We keep the brave frame honest by separating what ships today from what we are building.
Evidence-backed cloud findings and pass/fail history, run on your own infrastructure and stored in a customer-controlled database. 1,800+ readable SQL checks across AWS, GCP, Azure, DigitalOcean, and Kubernetes.
Promotion of findings into governed issues, gates and waivers, human approval states, and agent-scoped work queues built on top of the evidence base.
A connected security context across every plane of the AI software factory — cloud, MCP, app and API, supply chain, egress, policy, and agent activity — with proof that responsibilities were met over time.
Kloudle does not claim a complete enterprise context graph, does not self-certify SOC 2, and does not say agents own security. Humans stay responsible; agents act from evidence and policy.
Go Deeper
Put a Posture Layer in Your Factory
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