In September, two AmLaw firms disclosed breaches that started the same way: one compromised account, every file it could reach. Identity controls were in place at both firms and working as designed. They weren't enough. Every firm has its own layer of controls, including access policy in the DMS, classification, DLP, and full-file encryption. Each one enforces policy based on location, which no longer holds because work product doesn't stay in one place.
When these controls fail, one question decides what the incident costs: was any of it readable when it left the firm? This session works through a defensible way to model that exposure and make the case for protecting data at the file level.
An exposure model that holds up in front of your general counsel and risk committee
The difference between preventing a breach and making what's stolen worth nothing
Why data-layer protection is what unlocks AI on your own matter files
Live Product Demo
60 minutes
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A defensible way to model breach liability using published breach economics, including the variables most firms have never measured: the sensitive documents leaving the firm's walls every day, and the ones being fed into AI tools.
Why security leaders at global firms are rebuilding the data protection case around liability rather than architecture, and how protection at the data object level changes the exposure number while making matter files usable with AI.
Where firms are putting this argument in front of clients, so data protection stops being an IT line item and starts showing up in pitches. Includes a 30-minute product walkthrough and live Q&A.