We provide AI data classification and governance in sovereign control for sensitive communications in the regulated industries.
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Joined August 2021
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MailSPEC retweeted
Lack of visibility, where data sits, how sensitive it is, who can reach it, is a real first failure mode.
heise.de/en/news/Data-sovere…
MailSPEC retweeted
PRODUCT RELEASE: Reunion iOS 3.7.12
New features:
- Contacts: directory address book, Apple-style Contacts module and directory pickers.
Fixes:
- Fix Vivid call audio leftovers, CallKit icon and media permissions.
- Keep Vivid calls usable on a stalled network.
- Keep music playing when a sound is played in the app.
MailSPEC retweeted
97% of AI-related breaches happened in systems with zero proper access controls. (IBM data)
The fix isn’t more policies. It’s automation:
1. Continuously discover + classify sensitive data.
2. Bind classification labels to access rules.
3. Auto-revoke or mask when sensitivity changes or access is no longer justified.
Manual reviews can’t keep up with data growth or AI agents.
Tag → Enforce → Audit. Repeat.
A clear sign that EU crypto regulation is moving from the 'framework drafting' phase to the 'automated enforcement' phase.
Human trafficking isn’t just happening in dark alleys, but on everyday apps and digital platforms right under our noses.
Lack of visibility, where data sits, how sensitive it is, who can reach it, is a real first failure mode.
heise.de/en/news/Data-sovere…
Governance for agentic AI only works if classification decides which messages and attachments an agent may open before it ships, rather than after the risk has already been tested in production.
A single prompt that pulls from email and SharePoint only stays sovereign if classification has already decided which messages and attachments the model is allowed to read.
Restricting agent access at the account layer still leaves the email and attachment path open unless classification decides what may be opened before any model sees it.
When DLP only fires after the data has already left, the missing control is classification that blocks or masks the attachment at the send or paste moment.
Tagging at creation is the only point where classification can still bind to the attachment before it becomes just another file the model has already ingested.
Data residency answers where the bytes live; sovereign integrity answers who can still open an attachment or feed it to a model after the data has crossed a border.
Sensitivity labels that adapt to AI interactions only hold when classification is applied at creation, before any Copilot or agent is allowed to open the file.