Implementing Secure by Design Principles for AI

The article emphasizes the necessity of integrating security measures throughout the AI development lifecycle, rather than applying them post-deployment. It highlights that traditional security tools are inadequate for AI systems due to their dynamic and probabilistic nature, which introduces unique vulnerabilities like data poisoning and prompt injection. To address these challenges, the article advocates for a Secure by Design approach, as recommended by the Cybersecurity and Infrastructure Security Agency (CISA), ensuring that security is embedded at every stage of AI system development. This proactive strategy aims to build trust and resilience in AI technologies by anticipating and mitigating potential threats from the outset. 

https://www.darkreading.com/vulnerabilities-threats/secure-design-principles-ai

Comments

Popular posts from this blog

Secure Vibe Coding Guide: Best Practices for Writing Secure Code

KEVIntel: Real-Time Intelligence on Exploited Vulnerabilities

OWASP SAMM Skills Framework Enhances Software Security Roles