- Published
- Source
- CSO Online UK
- Filed under
- UK industry, Attacks, AI for defence
A component of Nvidia’s GPU monitoring software that enterprises use to keep tabs on their AI training and inference infrastructure has been vulnerable to denial-of-service (DoS) and information disclosure attacks. The Nvidia DCGM Exporter contains an unauthenticated resource exhaustion vulnerability that could allow remote attackers to crash the monitoring service and potentially disrupt AI workloads…
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.
Exploit Public-Facing Application
Initial AccessWhat a defender checks
- Find every internet-facing instance of the affected product.
- Patch, or apply the vendor's mitigation now – CISA's KEV list gives a deadline.
- Look for signs it was exploited before you patched: web shells, new accounts, odd outbound traffic.
Build the skillBlue Team Analyst · Vulnerability Management
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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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