Static Scans, Red Teams, and Frameworks Aim to Find Bad AI Models

AI Analysis

As the use of artificial intelligence (AI) becomes increasingly widespread, concerns over malicious code have grown. Cybersecurity firms are responding by releasing new technologies designed to help companies navigate the complexities of AI development and deployment. These solutions aim to identify and mitigate potential risks, ensuring that AI systems are secure and compliant with regulatory requirements. By investing in such measures, organizations can minimize the impact of compromised AI systems and protect theieputation and assets. The consequences of failing to address these concerns can be severe. Compromised AI systems can lead to significant financial losses, reputational damage, and even legal repercussions. It is therefore essential for companies to prioritize AI security and work with cybersecurity firms to develop and implement effective mitigation strategies.

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Original Article

With hundreds of artificial intelligence models found harboring malicious code, cybersecurity firms are releasing technology to help companies manage their AI development and deployment efforts.

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