Attendance records decide pay. Leave records touch health. SWAKIO™ is designed with enterprise security principles, and this page states plainly what is in place, without badge walls or borrowed claims.
Data is encrypted in transit and at rest. Workspace sign in rides on your Google Workspace identity, so your 2 step verification and session policies apply.
Role based access with least privilege everywhere. Authentication through your workspace identity provider, with session controls your organisation governs.
Employees see their own record. Managers see their team's operations. HR sees what policy allows. Leadership sees aggregates. Tenant isolation separates every organisation.
Agents inherit the asking person's permissions. There is no back door: an agent can only read what that role is authorised to read, and can never execute alone.
Who accessed what, what changed, what SWAKIO™ recommended, who approved it and what action occurred. The trail is complete and tamper evident.
Retention follows your configuration and your obligations. Full export is available on every plan, and deletion honours your settings and the law that applies to you.
The safest data is the data that never enters the system. SWAKIO™ does not read personal email or files, does not store medical details behind a leave request, and does not build behavioural profiles of individuals. Less honey, fewer bears.
Separated environments, reviewed changes, regular backups with restore testing, and production access granted narrowly and reviewed. Infrastructure specifics, including hosting details and subprocessors, are shared with customers on request rather than asserted here.
Incidents follow a defined process: contain, assess, notify affected customers without undue delay, remediate and record. Customer administrators are the first to know, not the last.
We keep the subprocessor list deliberately short, review vendors before they touch customer data, and make the current list available on request together with the safeguards used for any cross border transfers.
We patch dependencies routinely and welcome good faith research. If you believe you have found a vulnerability, tell us through the contact page with enough detail to reproduce it. We acknowledge quickly, keep you informed, and do not pursue researchers who respect user data and give us reasonable time to fix.
AI in SWAKIO™ recommends and never executes alone. Recommendations carry evidence, uncertainty is escalated rather than hidden, no individual is scored, and every AI action and approval lands on the audit record. Our compliance approach is documented on the Compliance page.
If a certification or audit report matters to your evaluation, ask us where we are with it. You will get a straight answer with dates, not a wall of badges.