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Microsoft Teams to get AI protection against phishing and fraud

Microsoft is adding a new AI-powered security feature to Teams aimed at detecting phishing, scams, and identity theft by analyzing conversations, Bleeping Computer reports.

Microsoft Teams to get AI protection against phishing and fraud

Microsoft is adding a new AI-powered security feature to Teams aimed at detecting phishing, scams, and identity theft by analyzing conversations, Bleeping Computer reports. Instead of primarily checking for malicious links and files, the tool will be able to identify suspicious behavior in the messages themselves, Microsoft said.

What happened

This is still a developing thread, so the useful part is knowing which source signals are hardening and which ones still need caution. In security, the real value is whether the team becomes measurably safer, not whether another settings screen has been added.

Where the sources line up

Instead of primarily checking for malicious links and files, the tool will be able to identify suspicious behavior in the messages themselves, Microsoft said. The feature will primarily be used for new contacts, as they pose a higher security risk. In security, the real value is whether the team becomes measurably safer, not whether another settings screen has been added. The people who should read carefully are system admins, shop owners, content teams, and anyone holding customer data or operational accounts.

Practical impact for readers

The new security feature follows earlier warnings from Microsoft about attackers impersonating help desk staff in Teams to trick users into granting them remote access. The people who should read carefully are system admins, shop owners, content teams, and anyone holding customer data or operational accounts. The next step is to see whether the current signals harden into a durable change or fade as a short-lived experiment.

Who should pay attention now

In a Microsoft 365 Message Center post ( mirror ), the company said, “During initial quality validation, detection may run in the background without showing warnings to users. After validation, users may see a warning when potential phishing is detected. The next step is to see whether the current signals harden into a durable change or fade as a short-lived experiment. That is why the useful reading move is not to stop at the headline, but to compare the promise, the workflow change, and the likely cost before deciding anything.

What is still unclear

According to Microsoft, no messages will be saved or used to train AI models. The tool will also be used solely for security purposes — not, for example, for surveillance or advertising. That is why the useful reading move is not to stop at the headline, but to compare the promise, the workflow change, and the likely cost before deciding anything.

Source notes

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