重要なインサイト
Sensitive data moves through outbound email every day as part of normal business. But traditional email DLP tools rely on pattern matching and static policies to identify potential violations. They can detect a match, but lack the context to distinguish legitimate business activity from genuine data exposure.
This forces security teams into a difficult tradeoff: narrow policies risk missing genuine violations, while broad policies bury teams in false positives, manual review, and brittle exception logic. Over time, the operational burden can become so high that teams narrow, weaken, or disable policies simply to keep email DLP manageable.
Abnormal Provides the Solution
- Lets teams define custom outbound email policies using regex, phrase matching, metadata conditions, Boolean logic, and editable exclusions.
- The AI Triage Agent evaluates every flagged message against policy intent, sender-recipient context, and message content, automatically releasing benign matches and quarantining likely violations for review.
- Lets teams add, edit, or remove rule exclusions by describing them in plain language, with flexible instructions that capture specific exceptions, domains, senders, recipients, and other business context.
- Provides visibility into every rule match, verdict, and supporting reasoning in the Outbound Log, with RBAC-controlled release for messages held in Microsoft quarantine.
The Abnormal Advantage at a Glance
Cut false positives
Contextual AI triage filters out benign matches before they reach analysts, so teams can focus on likely violations.
Simplify policy maintenance
Intuitive rule creation and plain-language exception management make it easier to build, tune, and maintain outbound email policies.
Enforce policies with confidence
Validate rules before launch, roll out enforcement at your own pace, and use transparent reasoning to understand why each message was released or held—giving teams greater confidence in every enforcement decision.
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