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Security & data handling

How these systems are built to be trusted

Written plainly. These are the operating principles behind HIS engagements and this platform, not certification claims.

Trust principles

Four commitments that shape how systems are designed and delivered.

Secure by design

Least-privilege access and controlled data boundaries.

Human governed

Sensitive actions require explicit authorisation.

Auditable

Actions, tools, approvals and outputs are traceable.

Transparent

Demonstration results are never presented as production outcomes.

Human oversight model

Autonomy is graded by risk. The same model is enforced in the agent registry, not just described here.

Low risk

Autonomous within defined boundaries.

Medium risk

Escalation based on policy or confidence.

High risk

Human approval required.

Critical

Human approval always required.

High-impact actions, including payments, external messages and destructive changes, are designed to pause for human approval before they execute.

Data handling

What happens to your data during an engagement.

Your data stays in scope

Workflows are designed to process the data they were scoped for, in the environment agreed in the engagement. There is no silent reuse of client data to train shared models.

Least-privilege access

Services and agents get the minimum access they need: scoped credentials, per-environment keys and row-level access rules on client-facing data.

You can host it

Processing services are built to run in your own cloud account or infrastructure where required, with the website acting only as an interface layer.

Deletion on request

Uploaded requirement files and engagement data can be removed on request, subject to the retention terms in the Privacy Policy.

Auditability

Systems you cannot inspect are systems you cannot trust.

Every run is recorded

Agent runs carry an execution trail: inputs, tools called, approvals taken and outputs produced, retained for review.

Failures are visible

Failed, paused and held runs are shown in the queue rather than retried silently, so problems surface instead of compounding.

Honest status labels

Demonstration and sample-data results are labelled as such across the site and are never presented as production outcomes.

Responsible disclosure

Found a problem? Tell us directly.

Security concerns can be reported to safdar404@gmail.com. Please include enough detail to reproduce the issue and avoid accessing data that is not yours. Legal details live in the legal centre.

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