defensive-ai-security
CommunityDetect AI prompt injections and defend LLMs.
Authorriparino
Version1.0.0
Installs0
System Documentation
What problem does it solve?
AI/LLM security threat detection and defense across AI systems, focusing on prompt injection, jailbreak attempts, and data leakage prevention.
Core Features & Use Cases
- Detection & alerting: identify prompt-injection signals and anomalous behavior in AI services.
- Threat mapping: integrate MITRE ATLAS/ATT&CK references for AI-specific attacks.
- Query templates: provide Sigma- and KQL-based detection patterns for OpenAI deployments.
- Use case example: Monitor Azure OpenAI content filter events and rate anomalies to trigger mitigations.
Quick Start
Configure the AI security monitoring suite to start detecting prompt injections in your OpenAI deployments.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: defensive-ai-security Download link: https://github.com/riparino/Claude-Cyber/archive/main.zip#defensive-ai-security Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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