Is Cloud Security Ready for AI?

A concept image of cloud security.

As organizations increasingly migrate to the cloud, cybersecurity professionals face a rapidly evolving threat landscape. A common theme across recent reports is the urgent need to address cloud security concerns, particularly those involving third-party suppliers and AI-generated code. By understanding these interconnected challenges, cybersecurity professionals can better protect their cloud environments.

Security Concerns in Cloud Migration

Tenable’s 2024 Cloud Security Outlook report reveals that security concerns are the dominant obstacles to broader cloud adoption. A significant number of enterprises view their third-party suppliers as major risks, with half of the respondents reporting three to four cloud breaches within the last twelve months. Bernard Montel from Tenable emphasizes the need for organizations to invest in upskilling and resources to bolster cloud security measures.

AI-Generated Code and Security Risks

Palo Alto Networks’ 2024 State of Cloud-Native Security report highlights that AI-generated code is now a top concern, with 100% of surveyed organizations using AI to aid in tasks requiring coding. Security incidents, such as data breaches and compliance violations, are on the rise, pointing to the need for better identity and secrets management. The report also stresses the importance of creating AI safety policies and ensuring proper access management for AI models.

Adoption of AI Solutions

The Cloud Security Alliance (CSA) and Google Cloud report that more than half of organizations plan to adopt AI solutions in the coming year. Despite the enthusiasm for AI, there is a disconnect between C-suite executives and staff regarding their understanding and implementation of AI technologies. This highlights the need for a strategic, unified approach to integrate AI into cybersecurity defenses effectively.

Improving Cloud Environment

Federal agencies, like many organizations, face significant challenges in securing their cloud environments. The FITARA 17.0 scorecard shows a substantial gap in federal cybersecurity, underscoring the need for proactive measures and continuous improvement. Strategies include gaining end-to-end visibility, continuous monitoring, adopting an “assume breach” mindset, and implementing containment strategies to limit the impact of security incidents.

A Unified Approach

The integration of AI into cloud security presents both opportunities and challenges. Organizations must address concerns related to AI-generated code, third-party suppliers, and the complexities of cloud environments. By investing in upskilling, implementing robust governance frameworks, and fostering collaboration between C-suite executives and staff, cybersecurity professionals can better navigate the evolving threat landscape. Embracing a proactive and strategic approach to AI and cloud security will be key to safeguarding digital infrastructures in 2024 and beyond.