AI can help attackers produce tailored phishing messages, while AI phishing remediation can help security teams assess suspicious activity and coordinate a response. Email security therefore needs to look beyond an individual message and consider the sender, recipient, associated activity and potential business impact.
Microsoft Defender for Office 365 includes anti-phishing capabilities such as spoof intelligence, impersonation protection, mailbox intelligence and Campaign Views. Microsoft states that its email authentication processes also use signals including sender reputation, sender history, recipient history and behavioural analysis.
The aim is not simply to remove one malicious email. Effective remediation needs to limit the opportunity for account compromise, identify related messages and help teams determine whether further investigation is required.
Generative AI can help attackers produce fluent, personalised messages, making poor grammar a less useful warning sign. Microsoft distinguishes targeted spear phishing and business email compromise from broader phishing, reinforcing why organisations need to assess the sender and context rather than relying on obvious errors.
A message might imitate a supplier, refer to a genuine project or appear to come from a senior colleague. Finance teams, for example, should independently verify unusual requests to change payment details rather than relying on the apparent authenticity of an email.
This makes people an important part of phishing defence. Employees need a straightforward route to report unusual requests, while security teams need the context to investigate them. CyberOne's guide to detecting AI phishing explores the issue specifically for UK organisations. For broader executive guidance, AI-Powered Phishing: A Practical Defence Guide for Business Leaders considers the threat from a business perspective.
Where phishing may have exposed personal information, organisations also need to consider their data-breach responsibilities. The ICO's UK GDPR data breach guidance states that organisations must assess the likely risk to people's rights and freedoms and, where a risk is likely, notify the ICO as soon as possible and where feasible within 72 hours.
Automation can help security teams deal with phishing volume, but it should be tied to evidence and appropriate oversight.
Microsoft Defender for Office 365 Automated Investigation and Response can investigate alerts and provide remediation actions for security teams to review. Microsoft says AIR investigations assess alerts, messages and surrounding evidence, with recommended actions available to SecOps teams. Some malicious similarity clusters can also be remediated automatically.
This creates an important distinction between automating analysis and blindly automating every decision. High-confidence activity can support faster remediation. Ambiguous or high-impact cases may still require someone who understands the account, business process and consequences of taking action.
The objective should be to give analysts better evidence and reduce unnecessary manual work without removing judgement from decisions where context matters. This is especially important when an apparently suspicious communication could also be a legitimate supplier, customer or executive request.
Phishing remediation should look beyond the first reported email. A coordinated campaign can reach different departments through variations in messages, senders and lures.
Microsoft's Campaign Views capability uses machine learning and other heuristics to identify and analyse messages associated with coordinated phishing attacks. That campaign perspective matters because fixing one employee's inbox does not necessarily remove the wider exposure. [learn.microsoft.com]
Teams should therefore assess whether related recipients, messages or activity indicate a broader incident. The business impact also changes according to what happened after delivery. A blocked message, for example, presents a different situation from suspicious activity involving a sensitive account.
This is where phishing becomes part of wider security operations. CyberOne's article on why AI has made speed a strategic security challenge provides further context on the relationship between AI-driven threats and response speed.
The NCSC incident-management guidance similarly emphasises preparation and connects incident response with disaster recovery, business continuity and crisis management. Phishing remediation should therefore feed into established incident processes rather than become a separate email-security workflow.
Modern phishing detection can draw on multiple sources of evidence. In Microsoft's environment, anti-phishing protection includes standard email authentication checks alongside sender reputation, sender and recipient history, behavioural analysis and other techniques. Defender for Office 365 adds capabilities including impersonation protection and Campaign Views.
The value comes from combining evidence rather than assuming one signal proves intent. Security teams can use the surrounding context to determine whether an event deserves escalation and what level of response is appropriate.
AI-assisted remediation can then support investigation and action. Microsoft's AIR capability, for example, can expand an investigation as evidence emerges and present results and remediation recommendations to security operations personnel.
Organisations adopting these capabilities should assess their effectiveness operationally. Investigation workload, false positives and the quality of escalated incidents matter because automation only creates value when it helps teams focus resources on credible risk.
For organisations invested in Microsoft's ecosystem, CyberOne's guide to stopping AI phishing with Microsoft Defender provides a natural next step into the Microsoft-specific security approach.
Email security is only one part of the response. A phishing incident can intersect with identity, endpoints, applications and data, making it important to understand activity beyond the original message.
That creates an operational question for security leaders: can the organisation reliably connect those signals and respond when an alert turns into a wider incident?
For organisations assessing whether managed detection and response could close that gap, CyberOne's Managed Extended Detection & Response UK guide examines MXDR as an operating model. CyberOne also provides guidance on how to choose a Microsoft Managed SOC for organisations considering external security operations support.
The objective is not automation for its own sake. It is a response model that can identify meaningful activity quickly, bring the right context together and escalate decisions according to business risk.
The next step is to define how phishing response fits into the organisation's wider security operating model. Establish ownership, decide how automated and analyst-led actions interact and ensure significant incidents can move into established response processes.
This matters because technical capabilities alone do not determine response effectiveness. The NCSC notes that technology, people and processes overlap in real incident response and that skilled people still need an appropriate response plan and relevant analysis tools.
CyberOne's Are You Ready for MXDR? article can help organisations consider whether their current operating model is ready for managed detection and response.
With a clearer model, security leaders can approach AI phishing remediation as part of resilience: detect suspicious activity, understand its significance and coordinate proportionate action before an isolated message develops into a wider business incident.