See the boundary
Map the AI applications, identities, providers, agents, and tools a sensor can—and cannot—observe.
Enterprise AI control plane
Make enterprise AI provable.
See the systems and identities in play. Stage deterministic controls. Trace every decision to its evidence—while keeping coverage, latency, and content boundaries visible.
Decision evidence Reconciled
Observe12.6 ms
Engineering AI route
Policy evaluated locally- Actor
- Human + workload resolved
- Data
- Source code · metadata only
- Policy
- Signed bundle · exact trace
- Coverage
- Inline · payload visible
Example interface · illustrative data
Coverage before riskFacts before scoresMetadata before contentProof before enforcement
01
The problem
AI moved faster than the evidence around it.
Chat, copilots, internal applications, agents, and tools now cross different identity and control boundaries. A discovery count cannot tell a security team which control actually operated—or where it was blind.
Fogcutter is built around one inspectable evidence chain, so Security, AI Platform, Privacy, and Audit can work from the same facts without defaulting to sensitive content collection.
A control plane grounded in evidence
Know what happened. Know how you know.
Stage the control
Evaluate deterministic policy in observe mode before a change can affect an approved route.
Prove the outcome
Trace a decision to its inputs, policy bundle, forwarding lifecycle, timing, and retained evidence.
The evidence contract
Every conclusion should open into its facts.
Fogcutter keeps observed facts, inferred classifications, policy decisions, and operational timing distinct—then links them in one versioned record.
See the evaluation path01Coverage
What was visible, off-scope, sampled, or unresolved
02Identity
Person, workload, agent, owner, and human sponsor
03Policy
Exact version, inputs, precedence, and decision path
04Outcome
Allow, observe, or block—with forwarding proof
05Experience
Control time separated from provider latency
02
Design-partner evaluation
Start with one route. Earn the right to expand.
The current program begins with mutual discovery, a controlled synthetic demonstration, and a customer-specific architecture and data review. Production blocking is not part of the initial offer.
01
Discover
Name one route and one decision.
A 45-minute working session identifies the sponsor, traffic boundary, evidence gap, and success hypothesis.
02
Demonstrate
Walk the complete evidence chain.
Use synthetic traffic to show allowed and blocked decisions, lifecycle reconciliation, and content-minimized operator evidence.
03
Design
Build a customer-owned evaluation plan.
Define architecture, privacy boundaries, stop conditions, recovery, removal, and the gates required before observe mode.
Available now
Controlled technical demonstration and evaluation design
Gate-bound
Customer observe-mode pilot and production enforcement
Built for careful operators
Control without surrendering control.
Customer-owned boundaries
Deployment, keys, retention, support access, and removal remain explicit choices.
Content minimization
Metadata is the baseline. Content requires a defined purpose and retention policy.
Staged policy operations
Simulate, review, sign, canary, observe, and roll back before broad enforcement.
Visible performance
Control time is measured separately from model and provider latency.
For security and AI platform leaders
Bring one AI route you need to understand.
We’ll map the boundary, name the evidence gap, and decide whether a controlled Fogcutter evaluation is worth pursuing.
Start a design-partner conversation