Navigating the AI security era: Key trends for software leaders in 2026

What were some of the most common challenges you saw with customers in 2025 related to secure development?

“I observed that customers in 2025 continued to grapple with several key challenges related to secure development. The evolving threat landscape, driven by advancements in AI and Generative AI, has significantly impacted secure development practices.

“One of the primary concerns is the increasing sophistication of AI-enabled attacks, making it essential for development teams to integrate robust security measures into their workflows.

“Additionally, securing AI systems across their life cycle is another critical challenge. This involves not only developing AI software securely but also protecting AI models and large language models from vulnerabilities such as data poisoning and prompt injection attacks. Traditional security measures, including monitoring, logging, and intrusion detection, are also crucial in managing AI systems.

“Supply chain attacks remain a significant threat. The compromise of software components, whether open source or commercial, can have far-reaching consequences. Organizations must prioritize managing and monitoring software supply chain risks, including the use of Software Bills of Materials and rigorous patch management.

“The proliferation of regulatory requirements around cybersecurity adds another layer of complexity. Organizations must navigate a fragmented landscape of regional and global compliance requirements, making it challenging to maintain compliance and ensure the security of their development processes.”