● TZUR Impact | Federal Mission Change Intelligence
Know the blast radius before it becomes mission impact.
Your tools can tell you that something changed. Your team still needs to answer: Which systems depend on it? Who owns them? What security assumptions need another look?
TZUR Impact brings those questions into one change-review workspace, using supplied dependency mappings and traceable evidence.
The current workspace uses synthetic evaluation data. Do not upload sensitive, classified, CUI or production security data.
Working evaluation product · Synthetic demonstration
The problem
The change is visible. Its consequences take investigation.
A cloud configuration changes. The security team sees the event, but understanding its consequences can require tracing dependencies across inventories, system records, ownership lists and authorization evidence.
The difficult part is connecting the change to a decision: what should be investigated, by whom, and why?
Dependencies
Which systems and mission functions rely on the changed resource?
Accountability
Which owners need to review the finding?
Review scope
Which security assumptions or authorization evidence may need attention?
A concrete example
From a network-rule change to a focused review.
Illustrative scenario using synthetic data
A cloud network rule is broadened. In TZUR’s synthetic example, supplied dependency mappings connect the changed resource to Benefits Processing and Claims Analytics.
TZUR shows the dependency paths, identifies mapped owners, and surfaces related security-review items. The reviewer can inspect what changed and the supporting evidence before deciding what action is warranted.
A flag is a reason to investigate. It is not proof of an outage, compromise or failed authorization.
- Network-rule change
- Dependent resources
- Benefits Processing / Claims Analytics
- Owner and security review
How TZUR works
Five steps, each one inspectable.
- 01
Bring in a change
Choose a built-in synthetic scenario or import a supported synthetic input package or AWS Config JSON file.
- 02
Trace the dependencies
The server-side analysis follows supplied resource, system and mission relationships to identify potentially affected areas.
- 03
Compare what changed
Authorization Diff highlights changes in supplied authorization snapshots to focus the reviewer’s investigation.
- 04
Inspect the evidence
Review dependency paths, source references and evidence fingerprints behind the result.
- 05
Keep people accountable
The workspace supports saved cases and recorded human reviews. People retain responsibility for authorization and operational decisions.
Importing an AWS Config file does not establish a live connection to AWS. Analysis depends on the completeness and accuracy of the supplied data and mappings.
What you can explore today
Six capabilities in the current workspace.
Deterministic analysis of supported synthetic change scenarios.
Paths connecting resources, systems and missions.
Ownership information from the supplied mappings.
Comparison of supplied authorization snapshots.
Source references and SHA-256 fingerprints for traceability and change detection.
Saved cases, review history and evidence exports.
Works alongside your existing process
Keep your systems of record. Focus the change review.
TZUR is being developed to complement the tools teams already use for asset inventory, security monitoring, vulnerability management and authorization records.
Its focus is the relationship between a change and the systems, owners and mission dependencies that may need review.
For federal teams and technology partners
Bring one change scenario.
A useful first discussion starts with one workflow: a cloud change, the systems it could affect, and the decision your team needs to make.
We are seeking practitioner feedback and conversations with federal technology partners about bounded evaluations and potential teaming fit.
Opens an email to hello@llcreativityllc.com with the topic TZUR evaluation / teaming. Helpful to include: name, organization, work email, role, and what change-review problem you are trying to solve.
Please do not include sensitive system information, credentials, CUI or classified information.
Possible evaluation questions
- Can the team trace the change to the expected systems?
- Are the dependency paths and supporting evidence understandable?
- Does the result identify the appropriate owners and review questions?
- Where are additional mappings or evidence needed?
Built by LLCreativity LLC
A U.S. company, founder-led.
TZUR Impact is being developed by LLCreativity LLC, a U.S. company, led by founder Salman Lakhani.
His technology and data-governance background informs the product’s emphasis on dependencies, change control, evidence and accountable decisions.
Current availability
A working evaluation product, with a defined scope.
The current release provides an integrated synthetic workspace for exploring change-impact analysis and human review.
Customer deployment requires environment-specific implementation, security review and validation. Live AWS/GovCloud connectivity and production agency deployment have not been demonstrated.
- Human reviewers retain authorization authority.
- GovCloud hosting alone would not establish product authorization.
- TZUR is not represented as FedRAMP-authorized.
- No government customer, certification or agency endorsement is claimed.
FAQ
Straight answers.
Is this a live connection to our cloud?
No. The current evaluation workspace uses synthetic scenarios and supported file imports.
Does TZUR automatically fix the change?
No. It helps focus investigation and review. It does not automatically remediate infrastructure or grant authorization.
How quickly does it produce an answer?
No validated production response-time commitment is available. Timing depends on data volume, mapping quality and deployment conditions. Human investigation and remediation take additional time.
Can we evaluate it?
The synthetic workspace can support an initial walkthrough. A customer-specific evaluation needs an agreed scope, data-handling boundaries and success criteria.
Start with one change. Follow the dependencies.
Working evaluation product · Synthetic demonstration · No production data