- Published
- Source
- The Register
- Filed under
- AI attacks
It's a worm attack, AI-style…
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.
LLM Prompt Injection
ExecutionWhat a defender checks
- Treat everything an AI tool reads – email, web pages, documents – as untrusted input.
- Limit the data and tools an AI agent can reach, and give it its own least-privilege identity.
- Log prompts and tool calls into the SIEM so you can investigate.
Build the skillBlue Team Analyst · GenAI & AI Security Monitoring
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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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