Artificial Intelligence & Machine Learning , Cloud Security , Events

The Role of AI in Cloud Application Security

Among its many use cases, AI technologies are now being integrated into cloud environments to bolster security. With AI, organizations can automate the detection of code generated by machine learning models, enhancing the security posture without the traditional reliance on extensive manual oversight, said Dror Davidoff, co-founder and CEO of Aqua Security.

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But there's a caveat. While many developers are using machine-learning-generated code to boost productivity, it’s essential to monitor this without traditional dependencies, he said.

"Organizations need to have two capabilities: Number one is to identify which microservices in their application have used or are backed by LLM-generated code. The other thing is to make sure that this was created subject to the best practices or the specific policies of that organization," Davidoff said. "And if not, they can block it and send it back to the developer saying, 'This was not done; redo this, please.' The thing about automating this process is critical, because with AI, there is an enormous amount of code that is being created."

In this video interview with Information Security Media Group at RSA Conference 2024, Davidoff also discussed:

• Innovative strategies Aqua Security is using to tackle new cyberthreats;
• How Aqua Security is using AI and machine learning in cybersecurity;
• The future of AI in cloud security.

Davidoff has more than 20 years of experience in sales management, marketing and business development in the enterprise software space. He has held executive positions at several emerging IT security and analytics companies. Before co-founding Aqua in 2015, Davidoff headed up global sales of database security products at McAfee - now Intel Security.