A finance director receives an apparently routine request to amend supplier bank details. Microsoft 365 does not block it, because the message comes from a compromised legitimate account and contains no obvious malicious attachment. This is where email fraud detection tools must do more than filter known bad messages. They need to help people report suspicion, give analysts evidence to assess it quickly, and enable teams to remove related messages before a payment or account compromise occurs.
For UK organisations with substantial Microsoft 365 estates, the right approach is not a single product category. Effective protection combines technical controls with a managed operational process for phishing triage, investigation, remediation and improvement. The question for a CISO or security operations leader is whether a tool strengthens that process, rather than simply adding another alert feed.
What email fraud detection tools need to detect
Email fraud covers more than conventional credential-harvesting phishing. Business email compromise, invoice fraud, QR-code lures, malicious file-sharing links and impersonation of executives or trusted suppliers can all arrive in a mailbox with few traditional indicators of compromise. Attackers increasingly use legitimate cloud services, compromised accounts and carefully researched language to bypass basic reputation and signature controls.
This creates a practical detection challenge. A secure email gateway may identify commodity malware and clearly malicious domains very effectively, yet a message can still be fraudulent because of context: an unusual payment request, a changed reply-to address, a slight variation in a supplier domain, or a request that bypasses normal approval. Detection therefore depends on both machine analysis and human judgement.
The most useful tools collect signals from message headers, sender infrastructure, URLs, attachments, authentication results and known threat intelligence. They should also make it straightforward to examine conversation history, recipient scope and similar messages across the tenant. That evidence is particularly valuable when analysts need to distinguish a sophisticated phishing attempt from a legitimate but unusual business email.
The operational lifecycle matters more than a dashboard
A platform can generate high-confidence detections and still leave an organisation exposed if suspicious messages wait in a shared mailbox, analysts lack mailbox visibility, or remediation requires a series of manual steps. Email security should be assessed as a lifecycle.
It begins with preparation. Employees need relevant simulated phishing training that reflects the fraud techniques and roles most likely to affect them. Finance teams, executives, HR and procurement staff may need different scenarios from general users. The aim is not to measure who fails a test. It is to help staff recognise ambiguity, pause before acting and report suspicious messages.
Next comes reporting. A clearly deployed Outlook reporting button gives users a low-friction way to send suspect emails into a defined phishing response workflow. This is a significant control in its own right. Employees often see contextual warning signs that automated tools cannot reliably infer, particularly in supplier relationships and internal impersonation attempts.
The reported message must then reach triage quickly. Analysts need a queue that prioritises likely threats and presents the information required to decide whether the email is malicious, benign or needs further investigation. Automation can enrich reports with threat intelligence, message authentication details, URL analysis and attachment verdicts. It should reduce repetitive work, not obscure the reasoning behind a decision.
Where a threat is confirmed, remediation must be decisive. Security teams need to identify all recipients of the message, locate related variants and remove them from mailboxes where appropriate. This capability matters because many phishing campaigns are sent broadly, while only one recipient may report the first copy. Finding and remediating the rest can prevent an isolated report from becoming an incident.
Finally, findings should improve defences. The data generated by employee reports and analyst decisions can reveal which departments are targeted, which lures bypass existing controls, and where training or technical policy needs adjustment. That is human risk management based on real attack activity rather than assumptions.
Key capabilities to assess in email fraud detection tools
When evaluating products, avoid treating a feature checklist as the final decision. Capabilities are only useful if they fit the organisation's operating model, Microsoft 365 configuration and available security resource. However, several areas deserve close scrutiny.
Microsoft 365 integration and mailbox visibility
For organisations running Exchange Online, a tool should support the access and permissions required to investigate reported messages and action remediation safely. Verify how it identifies messages across mailboxes, whether it can search for campaign variants, and how it records deletion or remediation activity for audit purposes.
Integration also needs governance. Security teams should understand which data is accessed, who can remove messages, how long information is retained and how actions are logged. This is especially relevant in regulated sectors where incident handling must be demonstrable to internal audit, customers or regulators.
Employee reporting that produces usable evidence
A reporting button should be simple for employees, but its real value lies in what happens after the click. Assess whether the original message, headers, attachments and URLs are captured in a form analysts can investigate. Consider how employees receive feedback too. A brief acknowledgement or outcome can reinforce appropriate reporting behaviour, whereas silence may discourage future participation.
High report volumes are not automatically a problem. They can indicate an engaged workforce. The operational issue is whether the platform can help a security team prioritise and process those reports without creating unsustainable analyst workload.
Phishing triage and threat intelligence
Triage should bring together the evidence needed for a defensible decision. Useful context includes sender reputation, authentication alignment, URL and attachment analysis, domain age or lookalike indicators, previous sightings and internal recipient data. Threat intelligence is most valuable when it helps analysts understand relevance and act faster, rather than simply adding more technical detail.
Ask how the tool handles uncertain cases. Fraud investigations often cannot be resolved from a single automated verdict. Analysts may need to escalate to the business, inspect account activity or check whether a payment request follows approved process. A mature workflow supports those hand-offs and records the decision.
Remediation at campaign scale
A single malicious message can be removed manually. A campaign sent to hundreds of users needs search, scoping and controlled remediation. Look for the ability to find matching messages, review proposed actions and remove confirmed threats promptly. The process should support a sensible balance between speed and assurance, particularly where false positives could disrupt legitimate business communication.
It is also worth testing how the platform deals with delayed discovery. Some messages are recognised as malicious only after threat intelligence changes or another organisation reports the same campaign. A capable solution should help teams revisit historical delivery and determine whether exposure remains in user mailboxes.
Choosing a delivery model that your team can sustain
The best tooling choice depends partly on how much internal capacity an organisation has for phishing response. A large SOC may operate the platform directly and integrate its outputs into established incident processes. A smaller security team may need managed phishing triage, specialist escalation and support with remediation. Neither model is inherently better; the risk lies in buying a capability that no one can operate consistently.
For MSPs and VARs, multi-customer administration, repeatable onboarding and defined analyst workflows are equally important. The partner needs to provide a service that customers can understand: employee reporting, triage outcomes, response times, remediation actions and reporting that demonstrates value. A licence-only approach may not meet that requirement.
Wise Fish works with organisations and channel partners that need this full phishing-security lifecycle, combining Cofense technology with UK-focused implementation, enablement and managed response expertise. That specialist support can be useful where Microsoft 365 configuration, process design and analyst readiness need to progress together.
Questions to ask before committing
A proof of value should test real operational outcomes, not merely detection claims. Use representative phishing reports, benign but suspicious-looking supplier emails and a controlled remediation scenario. Measure the time from user report to analyst decision, the evidence available to support that decision, and the time needed to identify other recipients.
Ask who owns each stage during an incident, including outside office hours. Establish what qualifies for automated action, what requires analyst approval and when business stakeholders need to be involved. Also confirm whether reporting metrics show more than volume: decision accuracy, response times, campaign trends and recurring human-risk themes are more useful indicators of improvement.
Email fraud detection is strongest when it turns employees from a residual risk into an active source of detection, then gives security teams the means to act on that intelligence. Build the process around the messages your people actually receive, and the tool will have a clearer role in preventing the next fraudulent request from becoming a business event.