Calm about security, on purpose
Risk and claims data deserves disciplined handling. Here is how RiskCurb approaches access, activity, and AI, stated plainly.
Security built into the workflow
Disciplined access and transparent handling, designed into how risk work happens. No unsupported compliance claims.
Access control
Roles and ownership decide who can see and change risk, control, and claims records. Access follows responsibility.
Audit-ready activity
Changes to risks, controls, and treatments are tracked so teams can see what changed, when, and by whom.
Data separation
Workspaces keep departmental risk and claims data appropriately separated within one operating view.
Responsible AI use
AI assists with drafting, classification, and signals. It supports, never replaces, the judgment of risk owners.
Secure configuration
Sensible defaults and clear configuration reduce the chance of risk data being exposed by mistake.
Privacy-first workflows
Risk records, claims context, and reporting data are handled with discipline and transparency, without overclaiming compliance.
AI assists. It does not decide.
RiskCurb uses AI to help draft summaries, classify records, and surface signals. Every output is reviewable, and accountable risk owners keep the final say.
- AI suggestions are drafts for review, not decisions.
- Risk owners and approvers keep the final say on every output.
- AI supports the judgment of accountable people. It never replaces it.
Security, answered
Talk to us about security
We will walk through how RiskCurb handles access, data, and AI for sensitive public-sector risk work.