For CISOs and privacy teams
Review the controls around separation, roles, encrypted secrets, client-owned AI keys, public-assistant scoping, and data export.
Public trust rests on three plain questions, and a government system has to answer all of them at any moment: who is allowed to do what, what was actually done, and who holds the records of it. AgentticAI is built so these are not questions you scramble to answer after the fact — they are answered continuously, as a matter of how the platform works. Helpfulness at the front means nothing if the institution cannot account for itself at the back.
Role-based control, a durable record of actions, and real ownership of the data form one continuous answer to the public's central demand of its government: be helpful, yes — but be accountable, and be able to prove it.
CISOs, privacy officers, audit and oversight teams, procurement and legal reviewers, and the central authorities answerable for it all
Continuously, by design. Who can do what: access is shaped by role, from the central authority down to the individual, and enforced on every action — not merely hidden in the interface. What they did: significant actions leave a record as they happen, kept for years, scoped to their owner. Who has the records: the institution does, with the means to produce a secure, encrypted copy of its information — or one person's — on demand.
Walk the security review through the three questions: who can do what, what they did, who has the records.
Review the controls around separation, roles, encrypted secrets, client-owned AI keys, public-assistant scoping, and data export.
Separate supported controls from roadmap items, DPA review, security questionnaire work, and deployment options.
Make audit logs, cap reviews, source maintenance, and export readiness part of the operating model after launch.
Access shaped by role and enforced on every action, from the authority down to the individual.
Significant actions recorded as they happen and kept for years, scoped to their owner.
Secure, encrypted exports the institution owns, with personal details shielded by default.
The keys that power the assistants stay encrypted, revealed only at the moment they are needed.
Departments can bring their own AI provider arrangements and keep control of their own accounts.
Continuously, by design. Who can do what: access is shaped by role, from the central authority down to the individual, and enforced on every action — not merely hidden in the interface. What they did: significant actions leave a record as they happen, kept for years, scoped to their owner. Who has the records: the institution does, with the means to produce a secure, encrypted copy of its information — or one person's — on demand.
Access is checked on every action; a missing right is turned away, even through a side door.
The record is durable, scoped per department, and retained for years.
The institution can export its data securely, with personal details shielded by default.
A button is dimmed, but the boundary is not actually enforced behind it.
Every action is checked against the role; a missing right is refused, even through a side door.
When a review asks what happened, the team scrambles to piece it together.
A durable record captured as actions happen, kept for years, ready when someone looks back.
No clean way to produce the institution's data, or one person's, on request.
Secure, encrypted exports owned by the institution, with personal details shielded by default.
A security walkthrough should connect product controls to the evidence public-sector reviewers need.
Department and role boundaries explained
Client-owned AI keys and encrypted secrets reviewed
Public key, rate limits, and caps covered
Secure data export and audit retention discussed
Access is shaped by role, from the central authority down to the individual contributor, and enforced where it counts — checked on every action, not merely hidden. Sensitive actions — taking an assistant public, changing what a department can do, handling credentials, exporting records — are reserved for the roles entitled to perform them.
Significant actions leave a record as they happen — who took the action, what they touched, and when, with extra detail on the most sensitive operations. These records are kept for years by default, with the retention period adjustable to match your own rules, and scoped so one body's history never mixes with another's.
The institution does — and the platform gives it the means to honor that. A department can produce a complete, secure, encrypted copy of its information, or just one person's, to satisfy a request or meet an obligation. Those exports carry their own evidence of how they were made, personal details are shielded by default, and the act of exporting is itself recorded.
Least-privilege, enforced on every action.
A durable record, there when asked.
Real ownership of the data.
Public-sector reviewers need to know which controls are implemented, which responsibilities belong to your own team, and which certification or deployment items should be handled during the commercial review.
Review how client data stays separated, who can see what, encrypted secrets, the record of every change, how data exports work, and which responsibilities belong to your own team.
Use the DPA and security questionnaire conversation to document data handling, sub-processors, retention expectations, roadmap certifications, and deployment requirements.
Explain encrypted export bundles, PII redaction modes, archive retention, audit retention, and metadata-only handling for sensitive integrations and provider keys.
Discuss managed, region-specific, or self-hosted deployments when procurement needs infrastructure control, residency, hardening, backups, or key rotation ownership.
Walk the security review through the three questions: who can do what, what they did, who has the records.
Confirm how roles are enforced and how sensitive actions are reserved.
Review the record — what is captured, how long it is kept, how it is scoped.
Confirm the export path for a request, and how personal details are shielded by default.
Who can do what is answered by enforcement, not by a dimmed button.
"What happened here" is answered with a record, not a recollection.
The institution can produce its own data securely, with privacy respected by default.
No. Your data is not used to train models. The conversation is sent to the configured AI provider, and when a department brings its own AI account, that account governs the provider-side settings.
Enforced. Access is checked on every action, and an account without the right is turned away even if it goes looking through a side door — not merely kept off the screen.
Yes. A department can produce a complete, secure, encrypted copy of its information — or one person's — to meet a request, with personal details shielded by default and the export itself recorded.
Yes — self-hosted and region-specific deployments are available, with the institution holding responsibilities for its own infrastructure. Talk to us about the specifics during review.
Request a governance walkthrough built around the three questions: who can do what, what they did, and who has the records.