AI-Driven Cloud Security Services
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Artificial Intelligence & Machine Learning
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Next-Generation Technologies & Secure Development
Partners Use Bedrock, SageMaker for Threat Detection, Response, Vital to Innovation
AWS’s infrastructure is designed to process workloads efficiently and also to protect customer content at the hardware level, said Managing Director Rohan Karmarkar.
See Also: Unlocking Enterprise Productivity and Innovation Through Secure Agentic AI
Generative AI services can minimize the exposure of private virtual clouds to the public internet, while encryption, key management and identity and access management controls that give clients control over their data security. Karmarkar said the cloud computing giant also provides built-in monitoring, logging and guardrails against prompt injection attacks and other emerging risks in the generative AI landscape (see: Cloud Security Strategies Focus on Operational Resiliency).
“Data in transit, that’s where encryption keys are again critical,” Karmarkar said. “When you use services like Bedrock, you can deploy those services in your own virtual private cloud so the traffic doesn’t have to go over the internet. And there are comprehensive monitoring and logging capabilities provided by Bedrock as well to support governance and audit requirements.”
In this video interview with Information Security Media Group, Karmarkar also discussed:
- How generative AI can enhance threat analysis, detection and response;
- How AWS relies on tech, channel partners for security verticalization;
- How specialized assistants automate triage and false positive handling.
Karmarkar leads a global team managing the software development lifecycle of the large product and enterprise IT applications for the Amazon Web Services partner network. He helps architect cloud-first projects across all environments, including public and hybrid cloud deployments, always governed by the goal of delivering innovation at scale and speed.