security-audit

A security audit assesses web application code against established vulnerability classes and security best practices. This skill identifies potential weaknesses by applying principles like input validation and defense in depth to system designs and code reviews.

LLM security vulnerabilities specifically include risks like prompt injection and data leakage. This skill addresses these AI-specific threats alongside traditional system vulnerabilities to prevent breaches and protect sensitive data during security-focused design evaluations.

Threat modeling is supported during system assessments to evaluate security-focused designs. You can review provided system designs for potential vulnerabilities, applying blast radius analysis to identify and mitigate weaknesses before deployment.

Yes, security audits cover user authentication mechanisms within web applications. The skill performs thorough assessments of authentication systems to identify potential weaknesses and ensure adherence to established security best practices before exploitation occurs.

The best way to identify data leakage risks in AI-powered features is through specialized LLM security audits. This skill evaluates AI-specific vulnerabilities like prompt injection and data leakage using established methodologies and blast radius analysis.