A team of researchers has developed a new AI model, called White-Basilisk, that detects software vulnerabilities more efficiently than much larger systems. The model’s release comes at a time when developers and security teams face mounting pressure to secure complex codebases, often without the resources to deploy large-scale AI tools. A compact model with big results Unlike LLMs, which can require billions of parameters and heavy computational power, White-Basilisk is compact, with just 200 million … More
The post New AI model offers faster, greener way for vulnerability detection appeared first on Help Net Security.
