FRAMEWORK INDEX
Categories
LLM Security
Security vulnerabilities in large language model deployments — insecure output handling, excessive agency, model theft, and inference attacks. Covers the full OWASP LLM Top 10.
First Look: Security
Proactive security assessments of new AI capabilities as they ship. Every feature analysed through MITRE ATLAS and OWASP LLM Top 10 — mapping attack surface before exploitation begins.
Prompt Injection
Direct and indirect prompt injection attacks against LLM-powered applications — techniques, real-world exploits, and mitigations. Mapped to MITRE ATLAS AML.T0051 and OWASP LLM01.
Supply Chain
ML supply chain attacks — malicious model weights on HuggingFace, poisoned pip packages, compromised training pipelines. Mapped to MITRE ATLAS AML.T0010 and OWASP LLM05.
Jailbreaks
Techniques that bypass safety alignment in instruction-tuned models — roleplay exploits, many-shot jailbreaking, and competing objectives attacks against frontier AI systems.
Adversarial ML
Evasion attacks, adversarial examples, and physical-world perturbations against computer vision, NLP, and autonomous systems. Mapped to MITRE ATLAS AML.T0043 and AML.T0015.
Data Poisoning
Training data poisoning and backdoor attacks — corrupting model behaviour by manipulating the data models learn from. Mapped to MITRE ATLAS AML.T0020 and OWASP LLM03.
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