Data sprawl
and shadow AI
Sensitive records spread into cloud buckets, SaaS applications, embedding stores, and third-party AI tools faster than teams can inventory them.
Usually another DSPM dashboardKybernao maps your data, identities, and cloud—then proves which attack paths matter.
Kybernao
Graph synchronized
Built for security teams in
- Financial services
- Healthcare
- Public sector
- Critical infrastructure
01 The problem
Security tools report signals.
Kybernao proves the path.
Security teams are drowning in parallel problems every vendor solves in isolation. The correlation work is left to the customer.
Data sprawl
Cloud and
identity risk
Misconfigurations and over-permissioned identities produce thousands of findings with no ranking an attacker would recognize.
Usually another CSPM dashboardUnknown
exploitability
A severity score cannot tell you whether a weakness is reachable, chainable, and impactful in your environment.
Usually another pentest reportOne platform · One schema
The risk graph connects what the security stack split apart.
Assets, identities, data classifications, posture findings, exploit paths, and agent evidence all live in one model. The queue is ordered by what was proven—not by what scored highest.
Discovery that knows what it found
Object-level classification for PII, PCI, PHI, secrets, and intellectual property.
Posture ranked by reachability
Cloud and identity findings inherit the sensitivity of the data behind them.
Exploitability, demonstrated
Scoped agents return the actual chain they walked—not another hypothetical score.
Evidence auditors can follow
Every discovery, decision, and agent action is recorded against the control.
02 How it works
Three moves.
One continuous loop.
Each stage writes into the same graph the next stage reads from.
01
Discover & classify
Find the sensitive data—and the systems holding it.
Scan structured and unstructured sources across cloud stores, SaaS, and embedding databases. Attach classifications directly to the assets and identities that can reach them.
- Object-level data classification
- Cloud, SaaS, and AI data surfaces
- One live relationship graph
02
Govern access
See who can actually reach what.
Model human and machine identities as relationships. Trace how one entitlement confers access to another resource, then preserve the evidence for review.
- Human and machine identity paths
- Policy and entitlement context
- Replayable control evidence
Identity
Role
API
Regulated data
03
Validate exploitability
Agents that show their work.
An orchestrator delegates to researcher, developer, and executor roles. They read the graph, operate inside scoped sandboxes, and write the proven path back for automatic re-ranking.
- Execution-layer scope lock
- Tool, token, time, and cost ceilings
- Complete agent-chain replay
Autonomy needs boundaries
Built to be checked.
Not taken on faith.
Offensive agents are useful because they can act. Kybernao surrounds that capability with controls enforced outside the model loop.
Scope lock
Authorized targets are enforced at execution and network egress—not merely requested in a prompt.
Sandboxed execution
Generated code runs inside isolated containers with restrictive network policy.
Hard ceilings
Tool calls, token spend, wall-clock time, and cost are enforced by an external monitor.
Human approval
Actions that write, modify state, or could disrupt a service pause for named human approval.
Replayable evidence
Every prompt, tool call, artifact, and result is retained in order for review.
Least privilege
Credentials are scoped per run, expire with it, and carry only the required entitlements.
03 Model independence
Use the right model.
Keep control of the reasoning layer.
Route different agent roles to hosted or open-weight models. Control cost per flow and keep regulated workloads inside your own perimeter.
OpenAIAnthropicGeminiBedrock
OllamaDeepSeekQwenCustom endpoint
Deployment without compromise
Run it your way.
Including with no egress at all.
01
Managed cloud
Fastest path to value, with the control plane operated for your team.
- Isolated environment
- Managed updates
- Hosted model access
02
Self-hosted
The full platform runs in your infrastructure while you choose the model endpoints.
- Your cloud or Kubernetes
- Data stays in place
- Your retention policy
03
Air-gapped
No outbound connectivity. Open-weight inference and evidence stay inside the boundary.
- Zero outbound calls
- Local model serving
- Controlled update bundles
Design partner program
We would rather earn a reference than print one.
Work directly with the team shaping Kybernao. Bring one real environment, compare the risk graph against your current queue, and help define the platform.
Become a design partnerWhat you getDirect access, deployment support, and influence over the roadmap.
What we askA real use case, candid feedback, and permission to measure the result.
04 Questions
The ones security teams ask first.
Is Kybernao another vulnerability scanner?+
No. It connects data classification, posture, identity relationships, and offensive proof in one graph so the output is a prioritized path—not another isolated finding list.
Can it run fully air-gapped?+
Yes. Self-hosted deployments can serve open-weight models locally with no outbound connectivity. Threat intelligence and updates arrive through controlled bundles.
What keeps autonomous agents in scope?+
Targets are enforced at the execution and egress layers. External monitors impose hard ceilings, and state-changing actions require explicit human approval.
Do we have to replace our existing security stack?+
No. Kybernao is designed to ingest the tools and telemetry you already run, connect their context, and write validated evidence back into your workflow.
See it against your environment
Stop prioritizing
theoretical risk.
Start with what an attacker can actually reach.
Book a working session