Mail AI
Intelligent Corporate Security Audit System
An on-premise solution that prevents info leakage and automatically analyzes threats and personal info in emails/attachments.
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Email Is the #1 Channel for Data Leakage
According to KISA, over 40% of corporate security incidents involve internal data leakage via email. Violations of personal data protection laws can result in fines of up to 3% of related revenue, and a single breach can cause irreparable reputational damage.
What If AI Scanned Every Email Before Sending?
Before each email is sent, AI automatically analyzes the body and attachments. Personal data and sensitive keywords are detected in real time, triggering automatic blocking or immediate alerts to the compliance team.
SUVsoft's Mail AI
A fully on-premise solution integrated directly with your corporate mail server. All analysis happens inside your network — no risk of secondary leakage. Email relationship visualization also enables early detection of insider threats.
Key Features
Intelligent Search
Analyzes queries to search relevant info and summarize results.
Privacy Detection
Automatically identifies and masks personal information in mail and files.
Relation Visualization
Visually analyzes connections between people based on email data.
Deep Attachment Analysis
Analyzes and searches detailed content in unstructured attachments.
Specifications
Integration
- Mail servers
- MS Exchange, Postfix, Sendmail
- Deployment
- Fully on-premise, nothing sent outside
- Processing
- Runs in parallel with delivery, typically under 1 second
- Policy
- Real-time blocking or post-send notification
What it detects
- Personal data
- National ID, phone, account and card numbers
- Confidential keywords
- Configurable per organisation
- Attachments
- Content of unstructured files analysed
- Action
- Mask or block on detection, alert the compliance team
Analysis and audit
- Relationship map
- Connections between people from mail data
- Insider threat
- Early detection of abnormal exfiltration patterns
- Intelligent search
- Queries analysed to find and summarise related mail
How Deployment Works
- 1
Current-state review
We check your mail server setup and existing security tools. Because inbound security serves a different purpose, we look at where the two overlap.
- 2
Detection scope
Beyond the legally defined personal data categories, we agree the confidential keywords your organisation needs protected. This varies by industry.
- 3
Detection-only phase
Runs without blocking so real false-positive patterns become visible. This phase is what makes the eventual thresholds workable.
- 4
Policy rollout
Thresholds are tuned, then blocking or alerting is applied, configurable per detection category.
- 5
Operation
Policies keep being adjusted based on detection history and the relationship map.
In Practice
“Bulk material leaving before a resignation”
Individual emails look normal; the relationship map shows the pattern deviating from the norm.
“Customer lists sent as attachments”
ID numbers and contact details inside the attachment are detected and masked, or flagged to the compliance team.
“Quotes and proposals sent to the wrong recipient”
Recipient and attachment content are checked together, catching another client's material before it goes out.
“Organisations with controlled data egress”
Fully on-premise, so even the analysis data never leaves the internal network.
FAQ
MS Exchange, Postfix, Sendmail, and other major enterprise mail servers are supported. Custom integration is available for your specific mail environment.
AI analysis runs in parallel with email delivery. In typical environments, latency is under 1 second. You can choose between real-time blocking or post-send notification depending on your security policy.
National ID numbers, phone numbers, email addresses, account numbers, credit card numbers, and other items defined under personal data protection law are detected. Custom keyword rules can also be configured per organization.
No. It operates entirely on-premise, meaning all analysis takes place inside your corporate servers. No analyzed data ever leaves your network.
Most email security focuses on what comes in - spam and malicious attachments. Mail AI looks at what goes out: personal data and confidential material leaving the organisation. The direction is different, so the two are normally run together.
You choose between real-time blocking and post-send notification per policy. We recommend running detection-only at first, with no blocking, to see the false-positive patterns, then applying blocking once thresholds are tuned.
Yes. Unstructured attachments such as quotes and proposals are analysed for personal data and confidential keywords. Scanning only the message body misses leaks that go out as attachments.
It maps connections between people from send/receive data. Patterns such as large volumes repeatedly going to someone with no normal working relationship do not show up when reading individual emails. It is there to surface insider threats early.
It detects and masks the categories defined by personal data protection law and keeps a processing record. Whether legal requirements are met depends on your organisation's overall governance, so it is more accurate to see this as covering the email channel within that.
Interested in Mail AI?
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