// AI threat desk · 15 Nov 2026
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Glossary_

Security and AI-security terms used in our stories, each explained in a sentence.

Prompt injection
Hiding instructions in content a model reads (a web page, a document, an email) so the AI system does something its user did not ask for.
Jailbreak
A prompt written to get past a model's safety limits so it produces output it should refuse.
AI agent
An AI system that uses tools (browsing, running code, reading and writing files) to complete a task, rather than only answering questions.
MCP
Model Context Protocol, an open standard for connecting AI agents to tools and data. Over-privileged MCP servers are a common risk.
Deepfake
AI-generated or AI-altered images, audio or video that impersonate a real person.
Data poisoning
Slipping malicious samples into training data so the resulting model carries a backdoor or wrong behaviour.
Supply chain attack
Instead of attacking the target directly, the attacker poisons a package, model, plugin or dataset the target will install.
CVE
Common Vulnerabilities and Exposures: the standard ID for each public flaw, such as CVE-2026-41872.
CVSS
A 0 to 10 severity score for a flaw; 9 and above is critical.
KEV
CISA's Known Exploited Vulnerabilities catalogue: flaws confirmed to be used in real attacks.
Remote code execution (RCE)
A flaw that lets an attacker run their own code on your server over the network. The most serious class of flaw.
Inference server
Software that loads a model and answers queries, such as vLLM or Triton. Often exposed on internal or even public networks.
HKCERT
The Hong Kong Computer Emergency Response Team Coordination Centre, run by the HKPC. It issues alerts and handles incident reports.
CI Ordinance
The Protection of Critical Infrastructures (Computer Systems) Ordinance, in force since 1 January 2026. Operators in eight sectors must protect critical computer systems and report incidents.