Best Proofpoint Alternatives for BEC Protection in 2026

Business email compromise is the most financially damaging form of email attack, with the FBI reporting over $2.9 billion in losses in 2023 alone. BEC attacks use impersonation, social engineering, and account takeover to trick employees into making fraudulent wire transfers, cha

Best picks for this use case

#1

Abnormal Security

Purpose-built for BEC detection with behavioral AI that profiles every identity and detects communication anomalies. Industry-leading detection of vendor fraud, invoice manipulation, and executive impersonation attacks that lack any malicious payload.

AI-powered email security platform specializing in behavioral detection of social engineering attacks

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#2

Tessian

Behavioral AI detects BEC alongside its unique misdirected email prevention capability. Real-time user coaching helps employees identify suspicious requests before acting on them. Now part of Proofpoint but still operates as a separate product.

Human layer security platform preventing inbound threats and outbound misdirected emails

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#3

Mimecast

Strong impersonation detection with targeted threat protection that covers executive impersonation, domain spoofing, and lookalike domains. Provides BEC protection within a comprehensive email security platform.

Cloud email security platform with threat protection, archiving, and continuity

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#4

Microsoft Defender for Office 365

Anti-phishing policies include impersonation protection for specified users and domains. Cross-domain XDR detection can identify account takeover that leads to internal BEC. Included in E5 licensing for cost efficiency.

Microsoft's native email security for Microsoft 365 with XDR integration

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#5

Trend Micro Email Security

Writing Style DNA uses AI to model executive writing patterns and detect emails that deviate from established styles. An innovative approach to BEC detection, though it requires a training period to build accurate profiles.

Cloud email security gateway with AI-powered BEC detection and XDR integration

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How to implement this

  1. 1

    Identify High-Risk BEC Targets

    Map the employees most likely to be targeted by BEC attacks: executives whose identities are impersonated, finance team members who process wire transfers, HR staff with access to employee data, and procurement teams who handle vendor invoices. These high-risk individuals need the most stringent BEC protections and should be prioritized for awareness training.

  2. 2

    Deploy Behavioral AI Detection

    Implement an email security solution with behavioral analysis that profiles communication patterns across your organization. The system should detect anomalies such as unusual sender behavior, atypical requests for wire transfers or data, and emails from lookalike domains. Abnormal Security and Tessian specialize in this behavioral approach; Proofpoint and Mimecast include behavioral detection within their broader platforms.

  3. 3

    Configure Impersonation Protection

    Set up impersonation detection rules for executive names, high-value employee names, and critical vendor identities. Configure lookalike domain detection to catch typosquatting attacks. Enable display name spoofing detection to identify emails where the display name matches an executive but the sending address does not. Apply the strictest policies (quarantine or block) to emails impersonating your highest-risk individuals.

  4. 4

    Implement Account Takeover Detection

    BEC attacks increasingly originate from compromised legitimate accounts rather than external impersonation. Deploy account takeover detection that monitors for suspicious sign-in patterns, impossible travel, new email forwarding rules, and unusual email sending behavior. Microsoft Defender's XDR integration and Abnormal Security's account takeover module both address this vector.

  5. 5

    Establish Financial Verification Procedures

    Technology alone cannot prevent all BEC losses. Implement business process controls including verbal verification for wire transfers above a threshold, dual approval for payment changes, independent confirmation of vendor banking detail changes through a known phone number (not one provided in the email), and mandatory cooling-off periods for urgent financial requests. These controls catch BEC attacks that evade technical detection.

Frequently Asked Questions

BEC attacks are specifically designed to evade gateway detection. They contain no malicious URLs, no malicious attachments, and no malware — just persuasive text that impersonates a trusted person. Email gateways like Proofpoint detect threats by scanning content for malicious indicators. When there is no malicious content to scan, the attack passes through. This is why behavioral AI tools like Abnormal Security are effective — they detect the anomaly in communication patterns rather than scanning for malicious content.

For pure BEC detection, yes. Abnormal Security's behavioral AI is purpose-built for detecting socially-engineered attacks and consistently demonstrates higher BEC detection rates than traditional gateways. However, Abnormal only addresses BEC and social engineering — it does not protect against malware, ransomware, spam, or provide archiving and compliance. Most organizations deploy Abnormal alongside Proofpoint rather than replacing it, getting the best of both approaches.

AI enables BEC detection by learning the normal communication patterns, writing styles, and behavioral baselines of every person in an organization. When an email deviates from these established patterns — even if the content appears legitimate — the AI flags it as suspicious. For example, AI can detect that a CEO never sends wire transfer requests to the finance team on weekends, or that a vendor's writing style has suddenly changed, or that a payment redirect request came from a domain registered yesterday. This contextual analysis is impossible with traditional rule-based detection.

Both use AI but approach BEC detection differently. Trend Micro's Writing Style DNA focuses on modeling the writing style of protected executives and flagging emails that claim to be from them but have a different writing pattern. This is effective for executive impersonation but requires a training period and only protects specifically enrolled users. Abnormal Security takes a broader approach, profiling every identity in the organization and detecting communication anomalies across all users, senders, and vendors. Abnormal's approach covers more attack types including vendor fraud and supply chain compromise.
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