Continuous Threat Exposure Management
HawkEye validates every route to your crown jewels and ranks the single control change that removes the most exposure.
Evidence arrives from the systems you already run and is normalized into one tenant-scoped graph, with source, confidence and observation time kept on every edge.
Severity scores a finding in isolation. Reachability scores it against your estate, which collapses the queue down to the routes that actually terminate somewhere worth defending.
Findings, alerts and misconfigurations pulled from connected sources over 24 hours.
Signals that resolve to a real asset, identity or control rather than a hostname.
Routes validated end to end, with the evidence for every hop kept on the edge.
Live module
This is the ranking surface from the product. Apply the recommended control and the graph, the score and the crown-jewel count all recompute together.
One identity control interrupts 11 of the 14 proven routes into the payment database.
Source, confidence, observation time and validation state travel with the relationship, so a conclusion can always be taken apart and checked.
Reachability, business impact, control coverage and evidence freshness stay inspectable behind the number.
Every read and every mutation resolves its tenant and role first. The customer boundary is enforced in the query, not in the view layer.
Definitions, reporting period, evidence freshness and stated uncertainty travel with the output.
Ingestion runs as durable jobs with bounded retries, cursor persistence and source health you can read, so a failed pull degrades into a known gap rather than a silent one.
The same four moves run continuously. Every pass narrows what is reachable and leaves behind the evidence for why.
Assets, identities, findings, controls and business context resolve into one graph with a single identity per object.
Each hop is validated against live evidence. Routes that only exist in theory are dropped before anyone sees them.
Work is ranked by what it removes: paths eliminated, crown jewels protected, exposure retired.
The owner gets the fix, the reason and the outcome to verify. A closed ticket is not treated as a closed path.
Four consoles disagree on how many critical findings exist.
Severity is scored per finding, with no idea what it connects to.
The top of the list is whatever scanned most recently.
A closed ticket is the only evidence that anything improved.
One graph, one identity per asset, one number the board sees.
Risk is scored by what a route reaches and what that asset is worth.
The top of the list is the control that removes the most routes.
Fresh evidence has to confirm the path changed before it is closed.
Trust architecture
Provenance, tenancy and uncertainty are product behaviour here, decided at the schema and the query, not compliance language written afterwards.
Every relationship keeps its source, observation time, confidence and validation history.
A move in the number resolves to the exact paths, assets and controls that caused it.
Freshness is reported next to the finding rather than quietly assumed to still hold.
Traversal and persistence are scoped to the tenant at the storage layer, under viewer, analyst, operator and admin roles.
Batches upsert by external identity, so replaying a page updates evidence instead of duplicating the graph.
Board reports carry their definitions, period and uncertainty, and link back to the workspace that produced them.
Pick the business system you would least like to lose. We will show you what can reach it today, which evidence holds up, and the first control worth changing.
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