March 13, 2024, 4:21 p.m. | Bruce Snell, iCybersecurity Strategist, Qwiet AI

Unite.AI www.unite.ai

In the dynamic landscape of cybersecurity, where threats constantly evolve, staying ahead of potential vulnerabilities in code is vital. One way that holds promise is the integration of AI and Large Language Models (LLMs). Leveraging these technologies can contribute to the early detection and mitigation of vulnerabilities in libraries not discovered before, strengthening the overall […]


The post Enhancing Code Security: The Rewards and Risks of Using LLMs for Proactive Vulnerability Detection appeared first on Unite.AI.

code cybersecurity detection dynamic integration landscape language language models large language large language models llms risks security technologies thought leaders threats vital vulnerabilities vulnerability

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