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Google’s Anton Chuvakin wants tiered defenses when deploying AI tools
Tom Field (Security Editor)•
June 26, 2025
Artificial intelligence in security requires a hybrid strategy that combines model-specific protection with traditional safeguards. According to AITON CHUVAKIN, it is not enough for CISO’s Google Cloud office security advisors to rely solely on AI model training or adversarial testing. Effective AI defense requires a “detailed” approach.
See: Proof of Concept: Rethinking identity in the age of AI agents
While some areas such as alert triage and detection logic immediately benefit from AI, automated response actions still raise concerns. AI’s proven best practices in security operations are still evolving.
“We need to practice more before we can best call something,” Chubakin said. He urges practitioners to focus on actual impacts – how many hours, dollars, or staff can save on AI rather than theoretical value.
In this video interview with the Information Security Media Group of Gartner Security & Risk Management Summit, Chuvakin discussed:
The need to combine user education with implemented technical management. How automation responses work in a well-defined cloud-native environment. Why governance must evolve quickly to rival the pace of AI adoption.
Chuvakin is a recognized security expert in the fields of SIEM and PCI DSS compliance, which are the fields of log management. Prior to Google Cloud, he was Gartner’s Vice President of Research and a well-known analyst for the Technical Professional Security and Risk Management Strategy Team.
