Nanosek · evidence-first DLP investigation
DLP Forensics
Exposure episodes for AI prompt and email data loss, each one traceable to the immutable observation that produced it. Severity, confidence and evidence completeness stay three separate signals, and plaintext is exceptional access that leaves an audit trail.
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- Episodes, not alert rows One bounded exposure path — actor, data class, destination, window, control outcome, evidence bundle — that can be triaged, assigned and disposed of.
- Every number has a denominator Coverage is shown wherever a figure could be misread, and absence of evidence is stated as absence rather than rendered as a reassuring zero.
- Plaintext is exceptional Metadata and classifications are the default view. Revealing content needs a role, a reason-for-access code and a written justification, and it is audited.