Prompt Injection & AI Threat Intelligence Database
PromptIntel is a free, continuously updated database of prompt injection attacks, jailbreaks, and LLM attack techniques, maintained by GuardionAI. Every threat is documented with its methodology, severity rating, framework mappings, and real prompt examples, so security teams can study — and test against — the techniques attackers actually use.
PromptIntel documents 0 AI security threats across 0 categories, with 0 recorded prompt injection and jailbreak examples.
Featured Prompt Attacks
Real-world prompt injection and jailbreak examples
Featured Threats
High-severity threats and recent discoveries
Prompt Threat Intelligence Coverage
Comprehensive analytics and distribution insights
Total Prompts
0
Documented attack examples
Total Threats
0
Unique threat vectors
Total Categories
0
Organized attack types
Top Threat Categories
Explore threats organized by attack type and methodology
How to Defend Against Prompt Injection
Cataloging attacks is only half the job. The techniques documented here are blocked at runtime by guardrails that classify prompts and responses inline, before they reach your model or agent. Guardion's prompt defense guard models score 0.95 F1 (0.92 recall, 0.98 precision) on published benchmarks, covering prompt injection, jailbreaks & adversarial attacks, bot abuse, spam.
See the full methodology and per-category results in the guard models benchmark documentation.
Real-world AI incidents
Documented AI security incidents where these attack techniques caused production impact.
AI Security Index
The vendor landscape: AI security platforms, guardrails, and red-teaming tools compared.
Guard model benchmarks
Published prompt defense, moderation, and PII detection results for Guardion's guard models.
Protect Your AI Systems
Use GuardionAI to detect and prevent these threats in real-time with advanced AI security policies and monitoring.
Frequently asked questions
What is prompt injection?
Prompt injection is an attack where adversarial text — typed by a user or hidden in content an AI system reads — overrides the model's instructions, causing it to leak data, bypass safety rules, or take unintended actions. PromptIntel documents 0 such techniques with real, categorized examples.
What is PromptIntel?
PromptIntel is Guardion's free, public threat-intelligence database for AI systems: 0 documented threats across 0 categories, covering prompt injection, jailbreaks, and LLM attack techniques — each with severity, methodology, and real prompt examples.
Where can I find prompt injection examples?
PromptIntel publishes 0 real prompt injection and jailbreak examples, free to browse at guardion.ai/promptintel. Each example is mapped to a technique, category, and severity level, so you can study or red-team against the attacks adversaries actually use.
How many prompt injection techniques exist?
PromptIntel catalogs 0 distinct LLM attack techniques across 0 categories. The largest categories right now are . The corpus grows continuously as new attack research is published.
How is this threat intelligence collected?
Threats are aggregated from public security research, red-team tooling, and attack patterns observed across guarded production traffic, then categorized by technique and severity. The catalog is updated continuously.
How do I defend against prompt injection attacks?
Runtime guardrails that classify prompts and responses inline block these techniques before they reach your model or agent. Guardion's prompt defense guard models score 0.95 F1 (0.92 recall, 0.98 precision) on published benchmarks across prompt injection, jailbreaks & adversarial attacks, bot abuse, spam.