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Maruti Techlabs

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Articles

Cloud Security for GenAI Workloads: Risks, Threat Patterns, and Controls

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By Mitul Makadia, Pinakin Ariwala, Maruti Techlabs
| buff.ly
Introduction Generative AI (GenAI) workloads include everything from model training and fine-tuning to real-time inference, automation, and data pipelines that support them. These workloads are now part of everyday business operations and power faster decisions, smoother processes, and better customer experiences. But as GenAI takes on more sensitive tasks, the security stakes rise sharply.
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Cloud Security for GenAI Workloads: Risks, Threat Patterns, and Controls

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By Lalit Bhatt, Maruti Techlabs
| Technology Podcast (Podcast)
GenAI workloads bring new security risks, so they need stronger protection than traditional cloud systems. Attackers now target AI models, training data, and endpoints, not just user accounts or databases. Cloud SecOps plays a major role in keeping AI environments safe by setting rules, monitoring activity, and fixing gaps early. Using the right security tools, like CSPM, CIEM, CNAPP, CWPP, and CASB, helps close blind spots across the AI pipeline.
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Requirements of Cluster Analysis in Data Mining: Comprehensive Guide

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By Pinakin Ariwala, Maruti Techlabs
| buff.ly
As technology progresses, astronomical data creation is inevitable. According to a report by Statista Research Department, global data creation is projected to grow to more than 180 zettabytes by 2025. With so much data being generated, it is challenging for businesses to organize and derive insights from the sea of unorganized data. It is where cluster analysis comes to the rescue.
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