What is Prompt Injection in Cybersecurity?

Emerging Technology Security
ByDecipherU Editorial
Version 1.0 · Published April 2026 · Last verified April 2026

An attack against LLM-powered applications where malicious input overrides the system's intended instructions. Direct prompt injection embeds commands in user input, while indirect injection hides instructions in external data the model retrieves. Successful attacks can bypass safety filters, exfiltrate data, or make the model perform unauthorized actions.

Why Prompt Injection Matters for Your Cybersecurity Career

Prompt injection is the SQL injection of the AI era. Penetration testers now include LLM testing in their engagements. Security engineers building AI-powered features must implement input validation and output filtering to defend against this attack class. Understanding this vulnerability is becoming a baseline expectation.

Applied AI counterpart

The Applied AI glossary covers a parallel prompt engineering term used at the AI-system-design layer.

Read about Prompt Engineering in Applied AI

Which Cybersecurity Roles Use Prompt Injection?

Related Cybersecurity Terms

Citation index · auto-derived from course content

Where Prompt Injection is used across DecipherU

15 public surfaces on the platform reference this term in a meaningful way. Sorted by relevance.

Courses · 6

Lessons that teach this term as part of a structured curriculum.

AI Engineering Mastery26 mentions

"…rticulate the cybersecurity surface every AI engineer owns: prompt injection, data exfiltration, secret leakage, model abuse, supply cha…"

AI-Augmented Cybersecurity Professional19 mentions

"…n cybersecurity-relevant terms Map the AI threat surface (prompt injection, data poisoning, model theft, adversarial examples) to fami…"

AI Sales and Solutions Engineering6 mentions

"…Identify the cybersecurity threats specific to AI products (prompt injection, data exfiltration, supply chain) and how to discuss them h…"

AI Governance and Risk5 mentions

"…e second reason is that AI risk is in part a security risk. Prompt injection is an injection vulnerability. Training data poisoning is a…"

AI Product Management5 mentions

"…bersecurity considerations identified at the product layer (prompt injection exposure, data leakage exposure, audit trail requirement).…"

AI Security Engineering1 mention

"Prompt Injection Defense"

Related glossary entries · 7

Other glossary terms whose definition cites this one.

LLM Security2 mentions

"…models and applications built on them from attacks such as prompt injection, jailbreaking, data exfiltration, and training data extract…"

RAG Security2 mentions

"…te model outputs, data leakage through model responses, and prompt injection via injected content in retrieved documents."

AI Red Teaming1 mention

"…nal security testing to include testing for hallucinations, prompt injection, content policy bypasses, and unintended behaviors. Teams u…"

LLM Firewall1 mention

"…and outputs (responses) in real time. LLM firewalls detect prompt injection attempts, block requests for sensitive data, prevent jailbr…"

AI Agent Security1 mention

"…rmful actions, credential theft from agent tool chains, and prompt injection that redirects agent behavior."

Generative AI Risk1 mention

"…in security-critical decisions, and new attack vectors like prompt injection."

AI Incident Response1 mention

"…oning, rolling back to known-good model versions, analyzing prompt injection attacks, and reporting AI safety incidents to regulators wh…"

An attack against LLM-powered applications where malicious input overrides the system's intended instructions. Direct prompt injection embeds commands in user input, while indirect injection hides instructions in external data the model retrieves. Successful attacks can bypass safety filters, exfiltrate data, or make the model perform unauthorized actions.

Prompt injection is the SQL injection of the AI era. Penetration testers now include LLM testing in their engagements. Security engineers building AI-powered features must implement input validation and output filtering to defend against this attack class. Understanding this vulnerability is becoming a baseline expectation.

Cybersecurity professionals who work with Prompt Injection include Penetration Tester, Security Engineer, Security Architect. These roles apply Prompt Injection knowledge within the Emerging Technology Security domain.

Last verified: April 2026?Report an inaccuracy

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