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Articles by Gauri Kholkar
Beyond Guardrails: Why AI Infrastructure Security Is Hard
AI infrastructure security requires more than LLM guardrails. Least-privilege network, identity, authorization, and configuration controls can protect distributed AI workloads and help reduce breach impact. This is the final article in our three-part series on AI security. Part 1: “What No One Tells You about Securing AI Apps: Demystifying AI Guardrails” showed how DevSecOps practices and specialized safety models help keep LLM applications secure and aligned.
How Pure Storage Is Delivering on the Key AI Trends of NeurIPS 2025
This post was co-authored by Gauri Kholkar, Priyanka Choudhary, Ruchi Awasthi(Applied AI/ML Scientist, Office of the CTO), and Dr. Ratinder Paul Singh Ahuja (CTO for Security and GenAI). Dr. Ahuja is a renowned name in the field of security, AI, and networking.
4 Key Insights from the 2025 ACL Conference
This post was co-authored by Gauri Kholkar, Applied AI/ML Scientist, Office of the CTO, and Dr. Ratinder Paul Singh Ahuja, CTO for Security and GenAI. The enterprise challenge:Pure Storage in action: Pure Storage is not just preparing for the agentic AI future; it's building it. We are developing our own internal AI workforce of specialized agents to automate and accelerate our business.
Pure Storage Blog: Purely Technical
A wealth of technical detail for working with Pure products.
AI and Machine Learning Archives
Want to harness the power of AI and Machine Learning to drive innovation and efficiency? From accelerating data pipelines to optimizing model performance, AI and ML are transforming industries with intelligent automation and deep insights. Whether you’re exploring infrastructure strategies, deployment best practices, or real-world applications, our blogs dive into the latest trends, challenges, and solutions. Explore the articles below to learn how to build a smarter, AI-driven future.
How to Build Effective Guardrail Security Policies for AI and LLMs
Automating guardrail security policies using LLMs is a key step in securing AI applications and the data that fuels them. ARGOS is a proprietary policy engine developed by Pure Storage that handles the heavy lifting of policy creation and maintenance. This post was co-authored by Gauri Kholkar, Applied AI/ML Scientist, Office of the CTO, and Dr. Ratinder Paul Singh Ahuja, CTO for Security and GenAI. Dr. Ahuja is a renowned name in the field of security, AI, and networking.
What No One Tells You about Securing AI Apps: Demystifying AI Guardrails
Developing responsible and trustworthy AI applications relies on essential safety mechanisms like LLM guardrails. These guardrails, built upon a robust DevSecOps foundation, help detect, mitigate, and prevent undesirable LLM behaviors. This post was co-authored by Gauri Kholkar, Applied AI/ML Scientist, Office of the CTO, and Dr. Ratinder Paul Singh Ahuja, CTO for Security and GenAI. Dr. Ahuja is a renowned name in the field of security, AI, and networking.
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