Dependency intelligence
Follow supplied relationships from a resource to systems, missions, controls and owners. Inspect a deterministic shortest path for each reachable entry.
THE PLATFORM
A change.
A connected explanation.
TZUR Impact is a deterministic decision-support application for investigating how supplied technology dependencies relate to federal system and mission review.
Run a synthetic analysisChange impact analysis
Compare supported baseline and current evidence. See review items and transparent rule-based priorities rather than a hidden risk verdict.
Evidence traceability
Inspect the normalized input, graph and evidence hashes. Check mapping sources, age and disputes on selected system paths. Export a review brief and action register; supplied references and hashes do not authenticate the source.
Accountable human review
Add anonymous local notes and download a one-page evidence pack. Optional private server cases and attributed reviews remain authenticated. The application does not grant or revoke authorization.
HOW IT WORKS
Six steps. One review trail.
- 01
Observe the change
Select a synthetic scenario or import bounded synthetic JSON. No live cloud account is connected.
- 02
Compare the baseline
Inspect what changed in the configuration and supplied authorization evidence snapshots.
- 03
Trace dependencies
Follow directed relationships supplied in the input model.
- 04
Identify review items
See reachable systems, control associations, missions and accountable owners.
- 05
Inspect the evidence
Review the delta, path, source data and explicit assumptions.
- 06
Apply human judgment
Document local review notes and evidence gaps, then download the evidence pack. Optional private server records require authentication.
WITH YOUR EXISTING ENVIRONMENT
A workflow to evaluate,
not a replacement mandate.
| Existing category | Useful capability | TZUR evaluation question |
|---|---|---|
| Service mapping / IT operations | Application and infrastructure dependency visibility, business impact | Can supplied relationships become a useful mission and authorization change-review trail? |
| Cloud security / exposure management | Posture, attack paths, vulnerability and identity context | Which supplied system, control and owner mappings warrant review for this change? |
| Observability / change tracking | Service health, dependencies, configuration and deployment events | What evidence supports a review item, and which assumptions need validation? |
| Authorization / GRC records | Assessment evidence, controls and authorization workflows | What materially changed between the supplied snapshots? |
ServiceNow, Wiz, CrowdStrike, Palo Alto Networks, Datadog and Palantir provide overlapping context and relationship capabilities. No exclusive dependency-graph claim is made. TZUR does not have verified connectors to those products.
Primary-source context →IMPLEMENTATION BOUNDARY
What runs today. What needs agreement.
Implemented in evaluation
- Server-side graph analysis and rule-based prioritization
- Baseline/current control evidence comparison
- Synthetic JSON and AWS Config event normalization
- Input, graph, change and evidence hashes
- Private saved cases, attributed reviews and exports
Not verified for production
- Live AWS/GovCloud or agency ingestion
- Enterprise SSO, team RBAC or sharing
- Third-party product connectors
- Customer security acceptance and independent assessment
- Operational backup/restore and service commitments
THE PRODUCT / EVIDENCE BRIEFING
Ask a better question.
Get a connected answer.
Explore what the actual synthetic assessment says. Every briefing is assembled from returned engine evidence, with its limits visible.
Open the complete workspace ↗ TZUR / EVIDENCE BRIEFING SYNTHETIC
Select a question to run the synthetic assessment and inspect a focused briefing.
Deterministic evidence summaries. No language model, live cloud discovery or automated authorization.