Ask Sophia: Privacy Operations
Automate DSR, consent, and RoPA with identity‑aware workflows that cut cost and risk across cloud, SaaS, and On‑Prem.
Ask Sophia: Privacy Operations
Automate DSR, consent, and RoPA with identity‑aware workflows that cut cost and risk across cloud, SaaS, and On‑Prem.
Transcript
Hi, I'm Sophia, Lightbeam's AI product guide.
I help security teams understand where sensitive data exists, who can
access it, and where it may be exposed.
In this short walkthrough, I'll show you how Lightbeam uses AI to discover
sensitive data, connect it to identities, and help reduce risk
across your environment. What would you like to explore?
The real problem here is that privacy teams usually cannot fulfill requests
accurately because personal data is scattered across shadow systems and
disconnected from the person it belongs to.
Lightbeam solves that by using a data identity graph to tie sensitive
data back to individuals. So DSR intake, identity
validation, consent orchestration, and reporting can happen in
minutes instead of turning into a manual hunt.
Let me pull up how privacy teams cut DSR fulfillment to minutes by
linking scattered sensitive data back to the right person.
Going ahead, the overview dashboard consolidates all incoming DSRs,
impact assessments, and consent logs so you can spot the highest risk
items at a glance.
Once you're done with that, the data subject request view shows an operational
snapshot of each request. And because Lightbeam has already indexed every data
store, the request report is generated instantly.
From here, the completed reports panel lets you track fulfillment history and
performance metrics, giving you audit-ready evidence without extra effort.
Right after that, the sidebar drills into each completed request, like Dana
Beck's erasure or Christopher Blankenship's access, so you can download the
full report and confirm every action is documented.
Moving on, the ticket view maps the workflow steps, owners, and pending
actions, ensuring accountability and keeping each request moving
toward closure.
I help security teams understand where sensitive data exists, who can
access it, and where it may be exposed.
In this short walkthrough, I'll show you how Lightbeam uses AI to discover
sensitive data, connect it to identities, and help reduce risk
across your environment. What would you like to explore?
The real problem here is that privacy teams usually cannot fulfill requests
accurately because personal data is scattered across shadow systems and
disconnected from the person it belongs to.
Lightbeam solves that by using a data identity graph to tie sensitive
data back to individuals. So DSR intake, identity
validation, consent orchestration, and reporting can happen in
minutes instead of turning into a manual hunt.
Let me pull up how privacy teams cut DSR fulfillment to minutes by
linking scattered sensitive data back to the right person.
Going ahead, the overview dashboard consolidates all incoming DSRs,
impact assessments, and consent logs so you can spot the highest risk
items at a glance.
Once you're done with that, the data subject request view shows an operational
snapshot of each request. And because Lightbeam has already indexed every data
store, the request report is generated instantly.
From here, the completed reports panel lets you track fulfillment history and
performance metrics, giving you audit-ready evidence without extra effort.
Right after that, the sidebar drills into each completed request, like Dana
Beck's erasure or Christopher Blankenship's access, so you can download the
full report and confirm every action is documented.
Moving on, the ticket view maps the workflow steps, owners, and pending
actions, ensuring accountability and keeping each request moving
toward closure.
