Email Security That Stops Threats Before They Reach Your Inbox

Microsoft Defender for Office 365 provides a solid foundation, but its default configuration leaves meaningful gaps. Out of the box, Safe Links and Safe Attachments are often partially configured or not enforced for all users. DMARC is frequently set to p=none (monitoring only) rather than p=reject (blocking). Anti-phishing policies may not include VIP protection or impersonation detection. Our email security service either augments Defender with a third-party AI layer or — for organizations with Plan 2 licensing — deeply configures and continuously monitors Defender to close these gaps within your existing investment.

Phishing is typically a mass campaign targeting many recipients to steal credentials or deliver malware. Business email compromise is a targeted attack where an attacker impersonates a trusted person — your CEO, your CFO, your attorney, your bank — to manipulate a specific employee into taking a specific action, usually authorizing a wire transfer or changing payment details. BEC attacks often do not contain malicious links or attachments, which is why they bypass traditional phishing filters. They exploit trust and urgency instead. Our BEC protection focuses on identity verification, domain analysis, and behavioral signals that indicate impersonation.

This is the most common concern organizations have about DMARC implementation, and it is a legitimate one. Moving directly to a p=reject policy without first auditing all legitimate email senders — your CRM platform, newsletter tool, payroll system, invoicing software — will result in legitimate mail being rejected. Our implementation process starts with p=none to collect DMARC reports and map every legitimate sending source, then advances to p=quarantine as senders are authorized, and finally to p=reject once we have confidence in coverage. The entire process typically takes 60 to 90 days for organizations with multiple third-party sending services.

Yes — and this is where AI-powered behavioral analysis outperforms rule-based systems. When a legitimate vendor's email account is compromised and used to send phishing emails, traditional systems may pass the message because the sender's domain has good reputation and DMARC passes. Our AI detects behavioral anomalies: writing style changes, unusual link insertions, atypical sending times, and contextual mismatches between the sender's normal communication patterns and the suspicious message. This lateral phishing detection is one of the most important capabilities for organizations that rely heavily on vendor email relationships.

Phishing simulations measure three things: click rate (employees who clicked the simulated phishing link), credential submission rate (employees who entered their credentials on a fake login page), and report rate (employees who identified the simulation as phishing and reported it). These metrics are useful as a baseline and trend indicator, but simulation results are not a proxy for real-world security. The value of simulations is in driving behavior change — specifically, auto-enrolling high-risk users in targeted training and measuring whether training reduces repeat click rates over time. We configure simulations to be realistic and progressively sophisticated, not gotcha exercises designed to punish employees.