AI Security articles
Articles, checklists and expert guidance on ai security from Aesparrow's penetration testers, auditors and compliance consultants.
Articles
Managing Open-Weight AI Security Risks in Enterprises
Open-weight AI models give organizations greater flexibility to customize and run AI within their own infrastructure, but they also introduce security responsibilities. Enterprises must protect sensitive data, defend against prompt injection, restrict model permissions, validate outputs, and continuously monitor deployments to reduce cyber security risks.
AI Testing: Building Trust, Reliability, and Safety in the Age of Artificial Intelligence
AI testing evaluates artificial intelligence systems for accuracy, reliability, fairness, usability, and security. It helps organizations identify errors, detect bias, protect sensitive information, and verify that AI applications behave as expected. By combining automated testing with human expertise and continuous monitoring, businesses can build safer, more trustworthy AI systems.
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