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An indexed, searchable catalog of LLM jailbreak techniques. Each entry: the prompt pattern, the models it works on, when it stopped working, the behavior it exploits — sourced from primary disclosure where possible, with honest attribution.
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LLM Security Testing Platform: Buyer's Guide for 2026
Picking an LLM security testing platform: open-source harness vs commercial suite, who got acquired, and five checks that expose weak tools.
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AI Jailbreak Detection Tools: Six Options Worth Shortlisting
A technical buyer's guide to jailbreak detectors, prompt-injection filters, cloud guardrails, and the coverage gaps vendors tend to bury in documentation.
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How to Detect Jailbreak Prompts: The Three Layers
The three jailbreak detection layers — input classifiers, output monitoring, and in-model sentinels — what each one catches, and where each is evaded.
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Prompt Injection vs Jailbreak: Two Different Attacks on LLMs
Prompt injection and jailbreak get conflated constantly, but they hit different layers and need different defenses. Here is how to tell them apart.
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Best LLM Red Team Tools: Garak, PyRIT, and Promptfoo
The best LLM red team tools are compared across attack coverage, multi-turn depth, CI integration, strengths, limitations, and ideal use cases.
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LLM Jailbreak Techniques Explained: 7 Attack Families
A technical breakdown of LLM jailbreak techniques by attack category, from role-play bypasses to multilingual exploits and multi-turn escalation.
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Crescendo Multi-Turn Jailbreaks: Why Defenses Miss Them
Crescendo multi-turn jailbreaks evade per-message defenses by exploiting conversation context, requiring session-level classification and monitoring.
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How Jailbreak Benchmarks Measure Success: JailbreakBench
How to read a jailbreak attack-success-rate: the behaviour set, attacker harness, judge and target that decide the number, and why two papers disagree.
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Many-Shot vs. Single-Shot Jailbreaks: Long-Context Risks
Single-shot jailbreaks compress the entire attack into one prompt; many-shot jailbreaks exploit the model's in-context learning.
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Responsible Disclosure Norms for LLM Jailbreaks
Software vulnerability disclosure has 30 years of evolved norms. LLM jailbreak disclosure is 4 years old and still contested.
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Encoding and Obfuscation Jailbreaks: The Filter-Model Gap
Encoding and obfuscation jailbreaks exploit representation gaps between content filters and LLMs; normalization and decoding can help detect them.
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Jailbreak Detection-Evasion Arms Race: How Attackers Adapt
Jailbreak detection and evasion form an arms race in which attackers probe classifier boundaries and defenders use layered safeguards.
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Roleplay and Persona Jailbreaks: Why They Often Fail
Roleplay and persona jailbreaks such as DAN use fictional framing, but modern safety training blocks many variants on frontier models.
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Universal Adversarial Suffixes: How the GCG Attack Works
Greedy Coordinate Gradient finds nonsense token suffixes that jailbreak aligned LLMs and transfer to closed models, plus the defenses that blunt them.
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LLM Jailbreak Taxonomy 2026: How the Techniques Cluster
Six years of jailbreak research has produced a messy literature. This taxonomy organizes working techniques by the behavioral property each one exploits.