October 17, 2024 at 01:03PM The rapid adoption of AI and machine learning raises concerns about zero-day vulnerabilities, unique to these technologies. Traditional security practices must adapt to address AI-specific threats, such as prompt injection and data leakage. Security teams are urged to integrate security throughout the AI lifecycle and conduct proactive audits to mitigate … Read more
October 11, 2024 at 07:49PM Organizations are increasingly seeking candidates with machine learning and large language model skills for cybersecurity roles, as highlighted in ISACA’s 2024 report. Key skill gaps include LLM SecOps, ML SecOps, cloud computing, and security controls implementation, while soft skills remain the most commonly identified gap among cybersecurity professionals. ### Meeting … Read more
August 28, 2024 at 10:03AM The rise of generative AI and large language models bring real security risks, from exposing data to malicious attacks. The rapid adoption of AI introduces new risks, but the opaque nature of AI models makes identifying and managing these risks challenging. Implementing an AI security framework and following key strategies … Read more
March 1, 2024 at 04:08PM The explosive growth in AI will immensely complicate software supply chain security. AI and ML models, integral to AI applications, contribute to the complexity. Developers must understand and secure these models, but existing security tools are ill-equipped for this task. Consequently, a new approach called MLSecOps is needed to address … Read more
January 2, 2024 at 10:07AM In early 2003, the emergence of artificial intelligence (AI) security became imminent with the introduction of ChatGPT, impacting startups focusing on machine learning security operations, AppSec remediation, and privacy enhancement through homomorphic encryption. Today’s AI faces significant vulnerability challenges, particularly concerning the security of foundational models. Startups are debating various … Read more