The launch addresses a problem every security leader knows but few tools have solved: threat modeling is essential, never more so than in an AI-driven era, yet it has remained slow, manual, and ...
Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...
IFAP generates adversarial perturbations using model gradients and then shapes them in the discrete cosine transform (DCT) domain. Unlike existing frequency-aware methods that apply a fixed frequency ...
Good news: Black Duck report highlights increased focus on adversarial testing and AI security risks
A new report out today from Black Duck Software Inc. sheds light on how companies are evolving their software security practices to address modern challenges. Black Duck Software was previously part ...
As threat actors increase their attacks on large language models, securing enterprise AI against growing attacks has become a critical challenge for cybersecurity professionals. According to a recent ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, ...
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