The rapid embrace of Generative AI across industries is presenting significant new frontiers, but cybersecurity leaders are pointing to critical areas needing urgent attention. While the potential benefits of GenAI are widely recognized, security executives are finding substantial gaps hindering its secure integration and operation.
A primary concern highlighted is the lack of a well-defined strategy for deploying and managing GenAI from a security standpoint. Many organizations are experimenting with or adopting AI tools without a comprehensive plan covering risk assessment, policy development, and governance frameworks tailored specifically to AI technologies. This strategic void can lead to inconsistent security practices and increased vulnerability.
Another major challenge involves the skills gap. Security teams often lack the specialized expertise required to understand, manage, and mitigate risks inherent in GenAI systems. This includes skills related to data privacy in AI training, identifying and preventing prompt injection attacks, detecting AI-generated misinformation or malicious content, and securing the complex infrastructure that supports AI workloads. Building or acquiring this talent is seen as a critical bottleneck.
Furthermore, existing infrastructure may not be adequately prepared for the demands and unique security requirements of Generative AI. Scaling compute resources securely, managing access controls for large datasets used in AI training, and ensuring the integrity of AI models require robust, often specialized, infrastructure capabilities and security configurations. The current setup in many organizations may not meet these standards, necessitating investment and upgrades.
Addressing these gaps in strategy, skills, and infrastructure is paramount for organizations looking to harness the power of GenAI responsibly and securely. Proactive planning, investing in specialized training, and evaluating and strengthening underlying infrastructure are essential steps to build resilience against emerging AI-related threats and ensure long-term success. Effective risk management in the age of AI demands a focused and evolving approach.
Source: https://www.helpnetsecurity.com/2025/06/20/cisos-genai-adoption/
