2 citations · 8 across the 10 of their papers we have counts for
5 papers · 1 filter
STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls
Shubhi Asthana, Bing Zhang, Chad DeLuca +2
The rapid shift from stateless large language models (LLMs) to autonomous, goal-driven agents raises a central question: When is agentic AI truly necessary? While agents enable mul…
FinOps Agent -- A Use-Case for IT Infrastructure and Cost Optimization
Ngoc Phuoc An Vo, Manish Kesarwani, Ruchi Mahindru +1
FinOps (Finance + Operations) represents an operational framework and cultural practice which maximizes cloud business value through collaborative financial accountability across e…
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
Saurabh Jha, Rohan Arora, Yuji Watanabe +40
Realizing the vision of using AI agents to automate critical IT tasks depends on the ability to measure and understand effectiveness of proposed solutions. We introduce ITBench, a…
Adaptive PII Mitigation Framework for Large Language Models
Shubhi Asthana, Ruchi Mahindru, Bing Zhang +1
Artificial Intelligence (AI) faces growing challenges from evolving data protection laws and enforcement practices worldwide. Regulations like GDPR and CCPA impose strict complianc…
Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications
Shubhi Asthana, Bing Zhang, Ruchi Mahindru +3
The adoption of Large Language Models (LLMs) has revolutionized AI applications but poses significant challenges in safeguarding user privacy. Ensuring compliance with privacy regu…