By clicking “Accept”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Cookie Policy for more information.
Icon Rounded Closed - BRIX Templates
Insights

Microsoft Defender Pre‑Delivery NLP: How to Block Payload‑less BEC

5 mins
share on
 Microsoft Defender Pre‑Delivery NLP: How to Block Payload‑less BEC

TLDR

Microsoft Defender’s Pre‑Delivery Protection with NLP analyzes the intent of emails (urgency, coercion, payment pressure) to stop payload‑less BEC before inbox delivery. Configure recommended presets and licenses, and pair it with Security Copilot’s Phishing Triage Agent to cut noise and triage faster, backed by Microsoft documentation.

For decades, email security has been a game of "find the bad object." Secure Email Gateways (SEGs) scanned for known malicious file hashes, blacklisted domains, or suspicious URLs. If the email didn’t carry a "payload," it was often assumed safe.

This left a massive vulnerability: Business Email Compromise (BEC).

Microsoft Exchange and Defender teams recently announced a fundamental shift to close this gap: Pre-Delivery Protection with NLP. This feature is now Generally Available and uses Natural Language Processing to analyze the intent of a message before it ever reaches a user's mailbox.

Quick FAQ

Q: What is pre‑delivery NLP protection in Defender for Office 365?

A: It’s pre‑delivery intent analysis that reads email content to flag high‑risk requests (wire transfers, credential urgency) even without malicious payloads, stopping BEC earlier in the pipeline.

Q: Does this require Defender P1 or P2?

A: Enable Microsoft’s Preset Security Policies (“Standard/Strict”) on Defender for Office 365 licensing (P1/P2 tiers). Confirm availability and feature naming in the What’s New documentation when you publish.

Q: How does Security Copilot help with user‑reported phish?

A: The Phishing Triage Agent (GA) automates grading and explains verdicts in natural language; early results show improved accuracy and analyst focus on genuine threats.

The Problem: You Can't "Scan" a Conversation

Attackers have adapted. They no longer rely solely on infected attachments that trip antivirus sensors. Instead, they use social engineering. They spin up fresh, clean Gmail accounts and send plain text emails to finance teams, CEOs, or HR departments.

  • "Are you at your desk? I need a wire transfer processed."
  • "Update your direct deposit info immediately."

To a traditional filter, these are just text. There is no malware. There is no bad link. There is no "payload" to block.

Microsoft Defender for Office 365 protection stack

The Solution: NLP and Intent Analysis

The new Pre-Delivery Protection feature changes the inspection model. Instead of just looking for artifacts (links/files), the system reads the email content using Large Language Models (LLMs) to understand the sentiment and intent.

It specifically looks for:

  • Urgency: "Do this now or we lose the account."
  • Coercion: "I am the CEO, do not question this."
  • Financial Pressure: Requests for gift cards, wire transfers, or invoice changes.

If the NLP engine detects these patterns, even in a text-only email from a "clean" sender, it flags the message as a high-confidence phishing attempt based on the linguistics, not the technical headers.

Technical Requirements

To leverage this capability, your organization must meet specific licensing and configuration standards. This is not included in the basic Exchange Online Protection (EOP) that comes with standard Office 365 licenses.

Required Licenses:

  • Microsoft Defender for Office 365 Plan 1 (Included in Microsoft 365 Business Premium).
  • Microsoft Defender for Office 365 Plan 2 (Included in Office 365 E5, Microsoft 365 E5, and E5 Security).

Required Configuration:

  • Preset Security Policies: Microsoft recommends enabling "Standard" or "Strict" preset security policies to ensure these new NLP models are applied correctly to your user scope. Track outcomes after Standard/Strict presets.

How to Enable Pre‑delivery NLP Intent Analysis with Preset Security Policies

  1. Sign in to Microsoft Defender portal
  2. Go to Email & collaboration → Policies & rules → Threat policies → Preset security policies.
  3. Choose Standard for most users; assign Strict to high‑risk roles (executives, finance).
  4. Assign scopes (users/groups/domains), save, and monitor in Configuration analyzer.
  5. Review false positives weekly; adjust exclusions as needed

The Benefits

Organizations that meet these requirements gain immediate operational and security advantages:

  1. Block "Payload-less" Attacks: You stop the single most expensive category of cybercrime (BEC) that traditional gateways miss.
  2. Reduction in SOC Noise: By catching social engineering at the edge, you significantly reduce the number of "User Reported Phishing" tickets your team has to triage. Microsoft’s Security Copilot Phishing Triage Agent identified 6.5× more malicious alerts, improved verdict accuracy by 77%, and enabled analysts to spend 53% more time investigating real threats (agent GA at Ignite 2025).
  3. Automated Triage: The system aligns with the new Phishing Triage Agents announced at Ignite. These agents can autonomously grade user submissions, resolving false positives without human intervention so your engineers focus only on real threats.
  4. Financial Safety: It acts as a direct safeguard against invoice fraud and payroll diversion schemes.
Microsoft Defender dashboard

The Paradigm Shift: From IoC to IoI

This feature represents the maturity of AI in defense. We are moving from hunting Indicators of Compromise (IoCs), like bad IP addresses which change hourly to hunting Indicators of Intent (IoI).

An attacker can easily change their IP address. They can easily register a new domain. But they cannot change their intent. To steal money, they must ask for it. To steal credentials, they must create urgency. By detecting the intent, you force the attacker to change their entire methodology, which is a much higher cost for them than simply spinning up a new server.

Reduce your phishing noise. Get help enabling Pre‑Delivery NLP.
Case Study Details

Similar posts

Get our perspectives on the latest developments in technology and business.
Love the way you work. Together.
Next steps
Have a question, or just say hi. 🖐 Let's talk about your next big project.
Contact us
Mailing list
Occasionally we like to send clients and friends curated articles that have helped us improve.
Close Modal