Data Loss Prevention
Observeri Data Loss Prevention starts with the channels the organisation approves: email service providers, cloud drive providers, and AI models. When someone uses a medium outside that list, the system catches the shadow use.

Approved
Email, drive, and AI
Shadow
Mediums caught
Incident
From a violation
Teams define the infotypes that matter and the policies that act on them. A policy can block, audit keywords, or audit files, and it sends the violation. From that violation, the team opens a risk incident.
Why it matters
Email, cloud drives, and AI models the organisation allows live in a document. People still send files from a personal mailbox or a drive that was never on the list.
A dormant AI tool, an unknown drive, or a personal mail account moves data without appearing next to the approved providers.
A rule says not to share customer data. It does not say which infotypes to block, which keywords to audit, or which files to inspect.
The violation is sent, then it sits in a feed. It never becomes a risk incident with an owner and a treatment.
The Observeri approach
The organisation lists the email service providers, cloud drive providers, and AI models that are allowed. That list is the boundary.
When someone uses an email service, a cloud drive, or an AI model outside the approved list, the system catches that shadow medium.
Teams define the infotypes, then policies that block, audit keywords, or audit files. Each match sends a violation.
From the violation, the team opens a risk incident, so the blocked or audited event has an owner and a treatment path.
How it works
Name the email, cloud drive, and AI tools the organisation allows, catch a shadow medium, and turn a policy violation into a risk incident.
Step 1
Email, cloud drive, and AI models
Record the email service providers, cloud drive providers, and AI models the organisation allows. Everything the policies watch is measured against that list.
Includes
Platform features
The email services the organisation allows, used as the boundary for outbound mail.
The cloud drive providers the organisation allows, so files leave only through those drives.
The AI models the organisation allows, public or private, named before anyone can use them.
An email service, cloud drive, or AI model outside the approved list is caught when someone uses it.
The data types a policy looks for in keywords and in files, defined by the organisation.
A policy blocks the action, audits the keywords, audits the file, or warns, and records which it did.
Each match is sent with the tool, the time, and the outcome, for the team that owns the channel.
A violation converts into a risk incident, with the channel, the infotype, and the policy on the record.
Outcomes
The approved list is the boundary
Email providers, cloud drives, and AI models the organisation allows are named in one place.
Shadow use is caught
A medium outside that list shows up when someone uses it, including a tool that had gone quiet.
A violation can be worked as a risk
Block, audit, and warn each send a violation, and that violation can be opened as a risk incident.
Platform capabilities
The organisation defines the infotypes and the policies. A match can block, audit keywords, or audit files, and the violation it sends can be opened as a risk incident.
Prevention scope
3
Approved channel types
Catch
Shadow mediums
Policy
Block or audit
Incident
From a violation
Approve the email, cloud drive, and AI tools, catch shadow mediums, and convert a violation into a risk incident.
The organisation lists the email service providers, cloud drive providers, and AI models that are allowed. Policies and shadow detection are measured against that list.
A shadow medium is an email service, cloud drive, or AI model outside the approved list. When someone uses it, the system catches that use, including a tool that had gone dormant.
Infotypes and policies decide whether a match is blocked, audited, or warned. The violation is sent with the tool, the time, and the outcome, and the team can convert that violation into a risk incident.
Live risk scoring, control mapping, FAIR quantification, and smart remediation.
Monitor, audit, and block prompts and file uploads so sensitive data stays inside the organization.
PII detection, sensitive data scanning, secret discovery, NER identification, and exposure scoring.
AI agent
Welcome to Observeri - My Name is Misha, How may i help you today!
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