DefenceNet vs. Microsoft Defender
An independent AI layer that augments — rather than replaces — Microsoft's native email filtering.
Disclaimer: Organizations should evaluate solutions based on their specific security requirements. The following comparison is based on publicly available capabilities and architectural differences.
Microsoft Defender for Office 365 ships natively with Microsoft 365 and Defender licensing, providing baseline protection against bulk spam and known malware via Safe Links and Safe Attachments. It's a strong default, but it's built to catch broad, known threats rather than highly targeted social engineering aimed at a specific organization.
DefenceNet is not a replacement for Defender — it's an independent, specialized layer that connects to the same Microsoft 365 environment via API. Rather than relying solely on Microsoft's native ecosystem, DefenceNet adds a behavioral AI engine that evaluates the intent of every message, catching the advanced BEC, quishing, and zero-day attacks that bypass native filtering.
| Capability Area | DefenceNet | Microsoft Defender |
|---|---|---|
| Core Architecture | Independent API-Native Layer | Native / Built-in to M365 |
| Detection Model | Contextual Intent & Behavioral AI | Signature & Broad Reputation |
| Zero-Day Reaction | Immediate / Predictive | Reactive to Global Telemetry |
| Computer Vision for Quishing | Purpose-Built | Basic OCR / Limited |
| Vendor Model | Independent Specialized Security | Single-Vendor (Microsoft) Stack |
Frequently Asked Questions
Do I need to disable Microsoft Defender to use DefenceNet?
No. DefenceNet is designed to augment, not replace, Defender. We recommend keeping Defender active to catch bulk commodity spam, allowing DefenceNet to focus on the complex, targeted attacks that slip through.
Why would a Microsoft 365 customer need more than Defender?
Because Microsoft is the dominant email provider, attackers specifically design campaigns to bypass its native filters. An independent AI layer like DefenceNet provides a secondary, specialized model that attackers can't pre-test their payloads against.
How quickly can we evaluate DefenceNet alongside Defender?
Because DefenceNet connects via API without MX record changes, deployment takes minutes. It can run in shadow mode to immediately show the threats currently bypassing your existing Defender configuration.
Does DefenceNet integrate with the rest of the Microsoft security stack?
DefenceNet connects to Microsoft 365 via API and is designed to sit alongside Microsoft Sentinel and other SIEM/SOAR tooling for alerting and response, rather than operating as an isolated silo.
Does Defender protect against Quishing (QR Phishing)?
Defender has basic OCR capabilities but struggles with obfuscated or highly complex QR codes. DefenceNet utilizes purpose-built computer vision to extract, decode, and analyze QR codes in real-time, providing far superior protection.
How does DefenceNet improve SOC efficiency compared to Defender?
DefenceNet provides Explainable AI (XAI) with every alert, detailing exactly why a threat was blocked (e.g., 'Reply-to mismatch with urgent financial language'). This rich context drastically reduces triage time compared to generic native alerts.
Why an Independent Layer Matters
Because Microsoft is the dominant enterprise email provider, attackers specifically design campaigns to get past Microsoft's native filters — testing payloads against Defender before sending them, since it's the most common target. An independent AI layer that attackers can't pre-test against closes that gap.
DefenceNet is designed to run alongside Defender, not instead of it. We recommend keeping Defender active to catch bulk commodity spam and known malware, while DefenceNet focuses its computational power on the complex, targeted attacks — BEC, quishing, zero-day phishing — that are built specifically to slip through native filtering.
Detection & AI Capabilities
Defender's detection relies primarily on signature matching, known-bad reputation databases, and Microsoft's global threat telemetry — effective against high-volume, previously-seen threats, less effective against a novel attack crafted for one specific target.
DefenceNet's detection is multi-modal by design: NLP models assess the intent and tone of a message to flag anomalies like an unusually urgent wire-transfer request, while Computer Vision analyzes the visual rendering of the email to catch brand impersonation and malicious payloads hidden in QR codes.
Enterprise Use Cases
Microsoft Defender is the quintessential baseline. Its primary use case is providing fundamental hygiene: filtering out the vast quantities of bulk spam, known malware, and rudimentary phishing attempts that target Microsoft infrastructure every second.
DefenceNet's use case is advanced defense-in-depth. It is specifically deployed to protect high-value targets (Executives, Finance teams) from Business Email Compromise (BEC), supply chain fraud, and sophisticated zero-day phishing that bypasses Defender's native controls.
Buying Criteria and Considerations
Relying solely on Microsoft Defender creates a monoculture risk. Because Defender is the most widely deployed email filter globally, every sophisticated cybercriminal tests their phishing campaigns against Defender to ensure they bypass it before launching an attack.
By implementing DefenceNet, organizations introduce an independent, predictive AI layer that attackers cannot pre-test against, effectively breaking the monoculture and drastically reducing the risk of a successful breach.
Pricing Philosophy
Enterprise security pricing is rarely transparent, but based on how each vendor packages its offering, DefenceNet and Microsoft Defender represent two different philosophies.
DefenceNet focuses strictly on delivering AI-driven threat detection, priced per protected mailbox rather than bundled into a broader suite. That focus means enterprises aren't paying for archiving, DLP, or compliance features they may already get elsewhere, just to access advanced threat protection.
DefenceNet
- Pro: API-native deployment via OAuth — no MX record changes or mail flow disruption.
- Pro: Purpose-built Computer Vision for QR code phishing (quishing) detection.
- Pro: Deep internal (east-west) email scanning out of the box, not just perimeter traffic.
- Con: Singular focus on threat detection — does not include archiving or continuity.
- Con: Requires a cloud email platform (Microsoft 365 or Google Workspace); not suited for on-prem Exchange.
Microsoft Defender
- Pro: Included with Microsoft 365 / Defender licensing — no separate procurement.
- Pro: Deep native integration with the rest of the Microsoft security stack (Sentinel, Entra ID).
- Pro: Strong baseline protection against bulk spam and known malware.
- Con: Primarily signature- and reputation-based; slower to catch novel, targeted attacks.
- Con: As the most common target, Defender's filtering patterns are the easiest for attackers to test against.
- Con: Limited purpose-built tooling for QR-code-based (quishing) attacks.
Ideal Customer Profile
Determining the right fit depends heavily on an organization's cloud maturity, existing infrastructure, and primary pain point.
When DefenceNet Fits Best
DefenceNet fits organizations that have already migrated to Microsoft 365 or Google Workspace and are comfortable with the native compliance/archiving features those platforms provide (e.g. E5 licensing), but are still seeing advanced, targeted attacks bypass native defenses. These teams value fast deployment, low administrative overhead, and behavioral AI detection over a bundled legacy suite.
When Microsoft Defender Fits Best
Microsoft Defender fits every Microsoft 365 organization as the native baseline layer — the question isn't whether to use it, but whether it's sufficient on its own for an organization's actual threat profile, particularly against targeted BEC and zero-day attacks.
Talk to Our Enterprise Team
See how DefenceNet applies to your organization's specific threat environment.