Kushagra Sharma's Blog Posts

Kushagra Sharma

Kushagra Sharma is a Product Manager at Cisco working on AIOps products that help teams operate complex systems with intelligence and scale. He focuses on translating customer problems into practical, data-driven solutions at the intersection of AI, reliability, and software platforms. Passionate about clear thinking and strong product craft, Kushagra writes to share insights on technology, product strategy, and building systems that actually work in the real world.

Mastering RAG: 8 Failure Modes to Evaluate Before Going to Production
Artificial Intelligence
6 Minute Read

Mastering RAG: 8 Failure Modes to Evaluate Before Going to Production

Review the eight critical RAG failure modes and learn how to build a robust evaluation
How To Reduce Hallucinations in RAG Applications
Artificial Intelligence
15 Minute Read

How To Reduce Hallucinations in RAG Applications

Learn to diagnose the six primary hallucination patterns and implement a robust pipeline of retrieval, reranking, and guardrail enforcement to ensure reliability.
Close AI Monitoring Blind Spots With OpenAI and Anthropic Add-Ons
Security
7 Minute Read

Close AI Monitoring Blind Spots With OpenAI and Anthropic Add-Ons

Splunk's new add-ons let teams track who used AI tools, what changed, and whether API keys were created or misused across ChatGPT, Claude, and other providers.
The Insider Threat That Doesn’t Sleep
Security
5 Minute Read

The Insider Threat That Doesn’t Sleep

These .conf26 sessions will guide practitioners through building ML-based detections, understanding AI agent risks, and applying these techniques to real attack scenarios.
How Evals Become Guardrails
Learn
7 Minute Read

How Evals Become Guardrails

Learn the eval-to-guardrail lifecycle to transform offline evaluation criteria into runtime policies that intercept and block agent failures in production.
Agent Incident Response: How Output Guardrails Help Remediate Agent Failures
Observability
8 Minute Read

Agent Incident Response: How Output Guardrails Help Remediate Agent Failures

Use real-time output guardrails and remediation strategies to surgically contain AI agent failures before they reach your users.