We provide AI data classification and governance in sovereign control for sensitive communications in the regulated industries.
Internet
Joined August 2021
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AI runs on data, and makes money when the data is sent off in nature. MailSPEC classifies it at the source, before it ever leaves your fingertips.
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.
MailSPEC retweeted
The key issue goes beyond removing bad actors. It’s about structural prevention: verifying seller identity before listing and securing messaging channels so stolen guest data can’t be weaponized for phishing scams.
Today, we opened formal proceedings to assess whether Booking.com may have breached the Digital Services Act by not having diligently assessed or effectively mitigated risks related to fraudulent listings and non-compliant offers of accommodation services.
MailSPEC retweeted
Clear safeguards benefit both travelers and honest businesses.
Today, the European Commission has opened formal proceedings to investigate how Booking·com combats risks related to scams and fraud under the Digital Services Act.
Discover why: link.europa.eu/rrvt7d ↓
MailSPEC retweeted
And then 3 minutes later, the realization hits when your inbox gets flooded with 14 daily newsletters and "exclusive offers."
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.
Outsourcing the deployment of core biometric infrastructure shouldn't mean outsourcing data sovereignty.
The key issue isn't using AI as a legal search assistant, but the complete breakdown of human oversight.