- Published
- Source
- The Hacker News
- Filed under
- AI for defence
- Technique
- T1566 Phishing (opens in a new tab)
Generative AI has changed what a malicious email looks like. Messages that once gave themselves away through clumsy wording, generic pretexts, and reused templates now arrive fluent, personalized, and unique to each recipient, and the behavioral signals email filters have relied on for years are fading as a result. Proofpoint shared several examples of the shift at its Protect 2026 conference.
Using AI safely
- Know which AI tools your organisation uses, and what data goes into them.
- Treat AI agents like any other identity: least privilege, logging and a named owner.
- Test AI features for prompt injection and data leakage before customers reach them.
More helpNCSC: guidelines for secure AI system development (opens in a new tab)
Defender’s notebook
The attacker technique behind this story, in MITRE’s terms – and what to check in your own estate.
Phishing
Initial AccessWhat a defender checks
- Search mail flow for the sender, subject and links, and pull every copy from mailboxes.
- Check who clicked or replied, and what signed in afterwards.
- Block the sender and URLs, and tell staff what to look for.
Build the skillBlue Team Analyst · Email & Phishing Investigation
© 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation.
MyCyberWay training
AI security · in both programmes
AI is part of the attack surface now. Learn to watch it.
Blue Team Analyst covers Security Copilot in triage and monitoring the AI itself: inherited permissions, prompt injection and Purview DSPM for AI. Blue Team Engineer secures the deployment: Copilot pre-flight hardening, agent identity and tool allow-lists.
- Security Copilot in triage
- Prompt injection and DSPM for AI
- Agent identity and allow-lists
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