- Published
- Source
- Help Net Security
- Filed under
- AI for defence
Security and IT teams are under pressure to adopt AI, but many are seeing the opposite of what was promised. Tools that demo well don’t hold up in real workflows. Complexity increases. Trust breaks down. And instead of reducing workload, AI can introduce new risks and oversight burdens. This guide breaks down why AI adoption fails in practice and gives teams a clearer path forward, from evaluation to implementation, with humans in the loop. What … More →…
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)
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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