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Attack Pattern
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Detecting Anomalous Authentication Patterns
detecting-anomalous-authentication-patterns
mukul975/Anthropic-Cybersecurity-Skills
219
Utilizes User and Entity Behavior Analytics (UEBA), statistical baselines, and machine learning models to monitor authentication logs. This skill identifies sophisticated security threats such as impossible travel, credential stuffing, brute force attacks, and compromised accounts in real-time. Essential for security operations and identity access management.
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AI Prompt Injection Security Detector
detecting-ai-model-prompt-injection-attacks
mukul975/Anthropic-Cybersecurity-Skills
447
A multi-layered defense system designed to detect sophisticated prompt injection attacks targeting LLM-powered applications. It combines regex pattern matching for known signatures, heuristic scoring for structural anomalies, and advanced DeBERTa-based classification. Ideal for building robust input validation layers, securing RAG pipelines, and performing proactive AI security scanning.
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Detecting Model Extraction Attacks Via API
detecting-model-extraction-attacks
mukul975/Anthropic-Cybersecurity-Skills
103
This skill provides methods and frameworks to detect sophisticated AI attacks, including model stealing, membership inference, and model inversion. It focuses on monitoring query patterns, analyzing confidence exposure, and implementing defensive controls on inference APIs to protect intellectual property and data privacy.
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简体中文
English